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WO2025065295A1 - Information transmission method and apparatus, and communication device, communication system and storage medium - Google Patents

Information transmission method and apparatus, and communication device, communication system and storage medium Download PDF

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Publication number
WO2025065295A1
WO2025065295A1 PCT/CN2023/121805 CN2023121805W WO2025065295A1 WO 2025065295 A1 WO2025065295 A1 WO 2025065295A1 CN 2023121805 W CN2023121805 W CN 2023121805W WO 2025065295 A1 WO2025065295 A1 WO 2025065295A1
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WO
WIPO (PCT)
Prior art keywords
information
model
network device
terminal
models
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
PCT/CN2023/121805
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French (fr)
Chinese (zh)
Inventor
刘正宣
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Xiaomi Mobile Software Co Ltd
Original Assignee
Beijing Xiaomi Mobile Software Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Xiaomi Mobile Software Co Ltd filed Critical Beijing Xiaomi Mobile Software Co Ltd
Priority to CN202380011382.5A priority Critical patent/CN117581523A/en
Priority to PCT/CN2023/121805 priority patent/WO2025065295A1/en
Publication of WO2025065295A1 publication Critical patent/WO2025065295A1/en
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/04Protocols for data compression, e.g. ROHC

Definitions

  • the present disclosure relates to the field of communication technology, and in particular to information transmission methods and devices, communication equipment, communication systems and storage media.
  • a network device sends a downlink reference signal to a terminal.
  • the terminal receives the downlink reference signal sent by the network device, measures the downlink reference signal, and reports the measured channel state information (CSI) to the network device.
  • the CSI feedback overhead can be reduced by compressing the CSI.
  • Embodiments of the present disclosure provide an information transmission method and apparatus, a communication device, and a storage medium.
  • an information transmission method is proposed in an embodiment of the present disclosure, and is executed by a terminal, wherein the method includes:
  • the terminal sends first information, where the first information is used to determine a target model for compressing and transmitting channel state information CSI, where the model includes at least one of a first model and a second model;
  • the first model is located at the terminal and is used to compress the CSI
  • the second model is located at the network device end and is used to decompress the compressed CSI
  • the first model corresponds to the second model.
  • the network device receives first information, where the first information is used to determine a target model for compressing and transmitting channel state information CSI, where the model includes at least one of a first model and a second model;
  • the first model is located at the terminal and is used to compress the CSI
  • the second model is located at the network device and is used to decompress the compressed CSI
  • the first model corresponds to the second model.
  • an information transmission method is provided in an embodiment of the present disclosure, and is performed by a communication system, wherein the method includes:
  • the terminal sends first information to the network device, where the first information is used to determine a target model for compressing and transmitting the channel state information CSI, where the model includes at least one of a first model and a second model;
  • the first model is located at the terminal and is used to compress the CSI
  • the second model is located at the network device and is used to decompress the compressed CSI
  • the first model corresponds to the second model.
  • an embodiment of the present disclosure provides a terminal, wherein the terminal includes:
  • a transceiver module configured to send first information, where the first information is used to determine a target model for compressing and transmitting channel state information CSI, where the model includes at least one of a first model and a second model;
  • the first model is located at the terminal and is used to compress the CSI
  • the second model is located at the network device and is used to decompress the compressed CSI
  • the first model corresponds to the second model.
  • an embodiment of the present disclosure provides a network device, wherein the network device includes:
  • a transceiver module configured to receive first information, where the first information is used to determine a target model for compressing and transmitting channel state information CSI, where the model includes at least one of a first model and a second model;
  • the first model is located at the terminal and is used to compress the CSI
  • the second model is located at the network device and is used to decompress the compressed CSI
  • the first model corresponds to the second model.
  • an embodiment of the present disclosure provides a communication system, wherein the communication system includes: a terminal and a network device; wherein,
  • the terminal is configured to implement the information transmission method according to the first aspect
  • the network device is configured to implement the information transmission method described in the second aspect.
  • an embodiment of the present disclosure provides a communication device, wherein the communication device includes:
  • processors one or more processors
  • the processor is used to call instructions so that the communication device executes the information transmission method described in the first aspect or the second aspect.
  • the embodiments of the present disclosure provide a storage medium, wherein the storage medium stores There are instructions, and when the instructions are executed on the communication device, the communication device executes the information transmission method described in the first aspect or the second aspect.
  • the target model is determined by the first information, so that the terminal and the network device reach a consensus in determining the target model, thereby increasing the probability that the terminal and the network device both obtain mutually related models.
  • FIG. 1a is a schematic diagram showing an architecture of a communication system according to an exemplary embodiment
  • Fig. 1b is a schematic diagram of model compression and decompression according to an exemplary embodiment
  • FIG2a is a schematic flow chart of an information transmission method according to an exemplary embodiment
  • FIG2b is a schematic flow chart of an information transmission method according to an exemplary embodiment
  • FIG2c is a schematic flow chart of an information transmission method according to an exemplary embodiment
  • FIG2d is a schematic flow chart of an information transmission method according to an exemplary embodiment
  • FIG2e is a schematic flow chart of an information transmission method according to an exemplary embodiment
  • FIG3a is a schematic flow chart of an information transmission method according to an exemplary embodiment
  • FIG3b is a schematic flow chart of an information transmission method according to an exemplary embodiment
  • FIG3c is a schematic flow chart of an information transmission method according to an exemplary embodiment
  • Fig. 3d is a schematic flow chart of an information transmission method according to an exemplary embodiment
  • FIG3e is a schematic flow chart of an information transmission method according to an exemplary embodiment
  • FIG3f is a schematic flow chart of an information transmission method according to an exemplary embodiment
  • FIG4b is a schematic flow chart of an information transmission method according to an exemplary embodiment
  • FIG4c is a schematic flow chart of an information transmission method according to an exemplary embodiment
  • FIG4d is a schematic flow chart of an information transmission method according to an exemplary embodiment
  • FIG4e is a schematic flow chart of an information transmission method according to an exemplary embodiment
  • FIG5 is a schematic flow chart of an information transmission method according to an exemplary embodiment
  • FIG6 is a schematic flow chart of an information transmission method according to an exemplary embodiment
  • FIG7a is a schematic diagram showing the structure of a network device according to an exemplary embodiment
  • FIG7b is a schematic diagram of a terminal structure according to an exemplary embodiment
  • Fig. 8b is a schematic structural diagram of a communication device according to an exemplary embodiment.
  • Embodiments of the present disclosure provide an information transmission method and apparatus, a communication device, a communication system, and a storage medium.
  • an embodiment of the present disclosure provides an information transmission method, wherein the method includes:
  • the terminal sends first information, where the first information is used to determine a target model for compressing and transmitting channel state information CSI, where the model includes at least one of a first model and a second model;
  • the first model is located at the terminal and is used to compress the CSI
  • the second model is located at the network device end and is used to decompress the compressed CSI
  • the first model corresponds to the second model.
  • the target model is determined by the first information, so that the terminal and the network device reach a consensus in determining the target model, thereby improving system performance.
  • the method further includes:
  • N candidate models are determined from the M models, wherein the N candidate models are used to determine the target model, and N is a positive integer, and 1 ⁇ N ⁇ M.
  • the candidate model is determined by the second information, so that the determined candidate model can meet the requirements of the terminal and/or the network side device.
  • the second information includes at least one of the following:
  • Auxiliary information for determining a candidate model wherein the auxiliary information is used to indicate output information of the second model
  • the candidate model is determined by the second information, so that the determined candidate model can meet the requirements of the terminal and/or the network side device.
  • the method further includes:
  • the terminal determines the target model and indicates the target model to the network device through the first information, so that the terminal and the network device reach a consensus in determining the target model, thereby improving system performance.
  • the method further includes:
  • the network device determines whether the target model is determined by the terminal, and the terminal and the network device can reach a consensus on whether the target model is determined by the terminal; reducing the situation where the models determined by both sides are inconsistent due to uncertainty about whether the target model is determined by the terminal.
  • the first information can enable the terminal and the network device to reach a consensus on the selection of the candidate model.
  • the first information is used by the network device to determine the target model from the N candidate models.
  • the network device determines the target model from the N candidate models based on the first information, so that the terminal and the network device reach a consensus in determining the target model, thereby increasing the probability of the terminal and the network device obtaining mutually related models.
  • the method further includes:
  • Receive fifth information where the fifth information is used to indicate one of the following:
  • the terminal sends CSI in a manner, wherein the fifth information is sent by the network device without determining the target model.
  • the target model is determined by the network device, and the target model is indicated to the network device through the fifth information, so that the terminal and the network device reach a consensus in determining the target model. This improves the probability that the terminal and the network device both obtain mutually related models.
  • the target model is not determined, the terminal is instructed to send CSI, which improves the compatibility of CSI sending.
  • the first information is used by the network device to determine the target model from M models; or
  • the first information is a first value, it indicates that the target model is determined by the network device.
  • the first information when the first information is a second value, it indicates that the network device is not allowed to determine the target model.
  • the network device determines the target model from the M models based on the first information, so that the terminal and the network device reach a consensus in determining the target model, thereby increasing the probability that the terminal and the network device both obtain mutually related models.
  • the terminal indicates whether the target model is determined by the network device, and the terminal and the network device can reach a consensus on whether the target model is determined by the terminal, thereby reducing the situation where the models determined by both sides are inconsistent due to uncertainty about whether the network device determines the target model.
  • the method further includes:
  • the first information is used by the network device to determine the target model from M models, and the sixth information is used to indicate the target model; or
  • the sixth information is used to indicate the N candidate models determined by the network device from the M models.
  • the terminal and the network device are made consistent in the target model through the sixth information, thereby increasing the probability that the terminal and the network device obtain mutually related models.
  • the terminal and the network device are made to agree on the candidate model through the sixth information, thereby increasing the probability that the terminal and the network device obtain mutually related models.
  • the method further includes:
  • seventh information sent by the network device is received, wherein the seventh information is used to indicate one of the following:
  • the network device determines a target model from the N candidate models
  • the terminal performs a fallback operation, wherein the seventh information is sent when the network device determines that it does not have the candidate model, or the network device is not allowed to determine the target model from the N candidate models.
  • the seventh information enables the terminal and the network device to reach consistency in the target model, thereby increasing the probability that the terminal and the network device both obtain mutually related models.
  • the seventh information instructs the terminal to fall back when the target model is not determined, thereby reducing the performance loss caused by the terminal being unable to obtain the target model.
  • the first information indicates that the network device determines a model parameter adopted by the target model from M models, wherein the model parameter includes at least one of the following:
  • a channel feature vector determined by the terminal is
  • the M models respectively correspond to model identifiers.
  • the target model is determined based on the first information, so that the determined target model meets the requirements of the terminal and/or the network device.
  • an embodiment of the present disclosure provides an information transmission method, wherein the method includes:
  • the network device receives first information, where the first information is used to determine a target model for compressing and transmitting channel state information CSI, where the model includes at least one of a first model and a second model;
  • the first model is located at the terminal and is used to compress the CSI
  • the second model is located at the network device and is used to decompress the compressed CSI
  • the first model corresponds to the second model.
  • the target model is determined by the first information, so that the terminal and the network device reach a consensus in determining the target model, thereby increasing the probability that the terminal and the network device both obtain mutually related models.
  • the method further includes:
  • Sending second information wherein the second information is used by the terminal to determine N candidate models from M models, wherein the N candidate models are used to determine the target model, and N is a positive integer, and 1 ⁇ N ⁇ M.
  • the second information includes at least one of the following:
  • the N candidate models are used by the terminal to determine the target model; wherein the first information is used to indicate the target model determined by the terminal.
  • the method further includes:
  • third information indicating a current state of the terminal, wherein the third information is used by the network device to determine whether to allow the terminal to determine a target model from the N candidate models;
  • Send fourth information where the fourth information is used to indicate whether the terminal is allowed to determine the target model from the N candidate models.
  • the first information is used to indicate the N candidate models, wherein the target model is determined from the N candidate models.
  • the method further includes:
  • the method further includes:
  • the terminal sends CSI in a manner, wherein the fifth information is sent by the network device without determining the target model.
  • the first information is used by the network device to determine the target model from M models; or
  • the first information when the first information is a second value, it indicates that the network device is not allowed to determine the target model.
  • the method further includes:
  • the first information is used by the network device to determine the target model from M models, and the sixth information is used to indicate the target model; or
  • the sixth information is used to indicate the N candidate models determined by the network device from the M models.
  • the method further includes:
  • seventh information is sent, where the seventh information is used to indicate one of the following:
  • the terminal performs a fallback operation, wherein the seventh information is sent when the network device determines that it does not have the candidate model or the network device is not allowed to determine the target model from the N candidate models.
  • the first information indicates that the network device determines a model parameter adopted by the target model from the M models, wherein the model parameter includes at least one of the following:
  • a channel feature vector determined by the terminal is
  • the M models respectively correspond to model identifiers.
  • an embodiment of the present disclosure provides an information transmission method, which is performed by a communication system, wherein the method includes:
  • the terminal sends first information to the network device, where the first information is used to determine a target model for compressing and transmitting the channel state information CSI, where the model includes at least one of a first model and a second model;
  • the first model is located at the terminal and is used to compress the CSI
  • the second model is located at the network device and is used to decompress the compressed CSI
  • the first model corresponds to the second model.
  • an embodiment of the present disclosure provides a terminal, wherein the terminal includes:
  • a transceiver module configured to send first information, where the first information is used to determine a target model for compressing and transmitting channel state information CSI, where the model includes at least one of a first model and a second model;
  • the first model is located at the terminal and is used to compress the CSI
  • the second model is located at the network device and is used to decompress the compressed CSI
  • the first model corresponds to the second model.
  • an embodiment of the present disclosure provides a network device, wherein the network device includes:
  • a transceiver module configured to receive first information, where the first information is used to determine a target model for compressing and transmitting channel state information CSI, where the model includes at least one of a first model and a second model;
  • the first model is located at the terminal and is used to compress the CSI
  • the second model is located at the network device and is used to decompress the compressed CSI
  • the first model corresponds to the second model.
  • an embodiment of the present disclosure provides a communication system, wherein the communication system includes: a terminal and a network device; wherein:
  • the terminal is configured to implement the information transmission method according to the first aspect
  • the network device is configured to implement the information transmission method described in the second aspect.
  • an embodiment of the present disclosure provides a communication device, wherein the communication device includes:
  • processors one or more processors
  • the processor is used to call instructions so that the communication device executes the information transmission method described in the first aspect or the second aspect.
  • an embodiment of the present disclosure proposes a storage medium, wherein the storage medium stores instructions, and when the instructions are executed on a communication device, the communication device executes the information transmission method described in the first aspect or the second aspect.
  • the embodiments of the present disclosure provide an information transmission method and device, a communication device, a communication system, and a storage medium.
  • the terms information transmission method, information processing method, information transmission method, etc. can be replaced with each other
  • the terms information transmission device, information processing device, information transmission device, etc. can be replaced with each other
  • the terms communication system, information processing system, etc. can be replaced with each other.
  • each step in an embodiment can be implemented as an independent embodiment, and the steps can be combined arbitrarily.
  • a solution after removing some steps in an embodiment can also be implemented as an independent embodiment, and in an embodiment, The order of the steps in the embodiment can be arbitrarily exchanged.
  • the optional implementation methods in a certain embodiment can be arbitrarily combined.
  • the embodiments can be arbitrarily combined. For example, part or all of the steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.
  • elements expressed in the singular form such as “a”, “an”, “the”, “above”, “said”, “aforementioned”, “this”, etc., may mean “one and only one", or “one or more”, “at least one”, etc.
  • the noun after the article may be understood as a singular expression or a plural expression.
  • plurality refers to two or more.
  • "at least one of A and B", “A and/or B”, “A in one case, B in another case”, “A in one case, B in another case”, etc. may include the following technical solutions according to the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); in some embodiments, A and B (both A and B are executed). When there are more branches such as A, B, C, etc., the above is also similar.
  • the recording method of "A or B” may include the following technical solutions according to the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed).
  • A A is executed independently of B
  • B B is executed independently of A
  • execution is selected from A and B (A and B are selectively executed).
  • prefixes such as “first” and “second” in the embodiments of the present disclosure are only used to distinguish different description objects, and do not constitute restrictions on the position, order, priority, quantity or content of the description objects.
  • the statement of the description object refers to the description in the context of the claims or embodiments, and should not constitute unnecessary restrictions due to the use of prefixes.
  • the description object is a "field”
  • the ordinal number before the "field” in the "first field” and the "second field” does not limit the position or order between the "fields”
  • the "first” and “second” do not limit whether the "fields” they modify are in the same message, nor do they limit the order of the "first field” and the "second field”.
  • the description object is a "level”
  • the ordinal number before the "level” in the “first level” and the “second level” does not limit the priority between the "levels”.
  • the number of description objects is not limited by the ordinal number, and can be one or more. Taking the "first device” as an example, the number of "devices” can be one or more.
  • the objects modified by different prefixes may be the same or different. For example, if the description object is "device”, then the “first device” and the “second device” may be the same device or different devices, and their types may be the same or different. For another example, if the description object is "information”, then the "first information” and the “second information” may be the same information or different information, and their contents may be the same or different.
  • “including A”, “comprising A”, “used to indicate A”, and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.
  • time/frequency refers to the time domain and/or the frequency domain.
  • terms such as “greater than”, “greater than or equal to”, “not less than”, “more than”, “more than or equal to”, “not less than”, “higher than”, “higher than or equal to”, “not lower than”, and “above” can be replaced with each other, and terms such as “less than”, “less than or equal to”, “not greater than”, “less than”, “less than or equal to”, “no more than”, “lower than”, “lower than or equal to”, “not higher than”, and “below” can be replaced with each other.
  • devices, etc. can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments.
  • Terms such as “device”, “equipment”, “device”, “circuit”, “network element”, “node”, “function”, “unit”, “section”, “system”, “network”, “chip”, “chip system”, “entity”, and “subject” can be used interchangeably.
  • network may be interpreted as devices included in the network (eg, access network equipment, core network equipment, etc.).
  • the access network device, the core network device, or the network device can be replaced by a terminal.
  • the various embodiments of the present disclosure can also be applied to a structure in which the access network device, the core network device, or the network device and the communication between the terminals is replaced by the communication between multiple terminals (for example, device-to-device (D2D), vehicle-to-everything (V2X), etc.).
  • D2D device-to-device
  • V2X vehicle-to-everything
  • it can also be set as a structure in which the terminal has all or part of the functions of the access network device.
  • terms such as "uplink” and "downlink” can also be replaced by terms corresponding to communication between terminals (for example, "side”).
  • uplink channels, downlink channels, etc. can be replaced by side channels
  • uplinks, downlinks, etc. can be replaced by side links.
  • the terminal may be replaced by an access network device, a core network device, or a network device.
  • the access network device, the core network device, or the network device may also be configured to have a structure that has all or part of the functions of the terminal.
  • acquisition of data, information, etc. may comply with the laws and regulations of the country where the data is obtained.
  • data, information, etc. may be obtained with the user's consent.
  • each element, each row, or each column in the table of the embodiments of the present disclosure may be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns may also be implemented as an independent embodiment.
  • FIG. 1 a is a schematic diagram showing the architecture of a communication system according to an embodiment of the present disclosure.
  • a communication system 100 includes a terminal 101 and a network device 102 .
  • the network device 102 may include at least one of the following: a core network device; an access network device.
  • the access network device may be, for example, a node or device that accesses a terminal to a wireless network.
  • the access network device may include an evolved Node B (eNB), a next generation evolved Node B (ng-eNB), a next generation Node B (gNB), a node B (NB), a home node B (HNB), a home evolved node B (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a Wi-Fi system, but is not limited thereto.
  • eNB evolved Node B
  • ng-eNB next generation evolved Node B
  • gNB next generation Node B
  • NB no
  • the technical solution of the present disclosure may be applicable to the Open RAN architecture.
  • the interfaces between access network devices or within access network devices involved in the embodiments of the present disclosure may become internal interfaces of Open RAN, and the processes and information interactions between these internal interfaces may be implemented through software or programs.
  • the access network device may be composed of a centralized unit (central unit, CU) and a distributed unit (distributed unit, DU), wherein the CU may also be called a control unit (control unit).
  • the CU-DU structure may be used to split the protocol layer of the access network device, with some functions of the protocol layer being centrally controlled by the CU, and the remaining part or all of the functions of the protocol layer being distributed in the DU, and the DU being centrally controlled by the CU, but not limited to this.
  • the terminal 101 includes, for example, a mobile phone, a wearable device, an Internet of Things device, a car with a communication function, a smart car, a tablet computer, a computer with a wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, and a wireless terminal device in industrial control.
  • VR virtual reality
  • AR augmented reality
  • a wireless terminal device in industrial control a wireless terminal device in self-driving
  • a wireless terminal device in remote medical surgery and a wireless terminal device in industrial control.
  • the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution provided by the embodiment of the present disclosure.
  • a person skilled in the art can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution provided by the embodiment of the present disclosure is also applicable to similar technical problems.
  • the following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG. 1a, or part of the subject, but are not limited thereto.
  • the subjects shown in FIG. 1a are examples, and the communication system may include all or part of the subjects in FIG. 1a, or may include other subjects other than FIG. 1a, and the number and form of the subjects are arbitrary, and the connection relationship between the subjects is an example, and the subjects may be connected or disconnected, and the connection may be in any manner, which may be a direct connection or an indirect connection, and may be a wired connection or a wireless connection.
  • LTE Long Term Evolution
  • LTE-A LTE-Advanced
  • LTE-B LTE-Beyond
  • SUPER 3G IMT-Advanced
  • 4G the fourth generation mobile communication system
  • 5G 5G new radio
  • FAA Future Radio Access
  • RAT New Radio
  • NR New Radio
  • NX New radio access
  • the compression feedback and recovery of CSI can be realized based on the CSI generation partial model on the terminal side and the CSI recovery partial model on the network device side.
  • the CSI generation partial model on the terminal side and the CSI recovery partial model on the network device side can be bilateral artificial intelligence (AI)/machine learning (ML) models.
  • Figure 1b is a schematic diagram of the bilateral AI/ML model to realize CSI compression feedback and recovery.
  • the UE side compresses the downlink channel information H through the CSI generation partial model and quantizes it into a binary bit stream and sends it to the network side device (such as gNB).
  • the network side device recovers H' which is similar to the original downlink information through the CSI recovery partial model.
  • the UE or gNB may select an AI model based on the following performance criteria or methods:
  • Option 1 Intermediate KPI such as the square of cosine similarity.
  • the UE may report the target input CSI (i.e., input-CSI-NW), or the NW may send the target output CSI (i.e., output-CSI-UE) to respectively implement the calculation of the intermediate KPI on the NW side or the UE side.
  • the target input CSI i.e., input-CSI-NW
  • the NW may send the target output CSI (i.e., output-CSI-UE) to respectively implement the calculation of the intermediate KPI on the NW side or the UE side.
  • Option 2 Final KPIs such as throughput, Block Error Rate (BLER), assumed BLER, or non-acknowledgement (NACK)/acknowledgement (ACK).
  • BLER Block Error Rate
  • NACK non-acknowledgement
  • ACK acknowledgenowledgement
  • Option 3 Use traditional CSI feedback reporting as a reference for selecting a model.
  • Traditional CSI feedback reporting includes CSI measurement and reporting based on Type I or Type II codebooks.
  • the codebook type or codebook parameters are configured by the NW to the UE.
  • Option 4 Input or output data distribution of AI/ML network models, such as data drift changes between training data and observation data.
  • FIG2a is an interactive schematic diagram of an information transmission method according to an embodiment of the present disclosure. As shown in FIG2a, the present disclosure embodiment relates to an information transmission method, which is used in a communication system 100, and the method includes:
  • Step S2101 The terminal determines a candidate model.
  • the terminal determines N candidate models from M models based on the second information.
  • N is a positive integer, and 1 ⁇ N ⁇ M.
  • the M models may be all available models for the configuration.
  • the terminal may determine N candidate models from M models after accessing the network.
  • the second information may be pre-stored in the terminal.
  • the second information may be determined by the terminal.
  • the model may include at least one of the following: an AI model; an ML model.
  • the model includes a first model and at least one of a second model, wherein the first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device end and is used to decompress the compressed CSI.
  • the first model has a binding relationship with the second model.
  • model identifier of the first model and the model identifier of the second model may be the same.
  • model identifier of the first model and the model identifier of the second model may have a binding association.
  • the terminal determining the candidate model may include at least one of the following: the terminal determining the first model; the terminal determining the second model; the terminal determining the first model and the second model.
  • the terminal determining the first model is equivalent to determining the second model at the same time.
  • the terminal determining the second model is equivalent to determining the first model at the same time.
  • the second information may be used to indicate conditions that the candidate model needs to satisfy.
  • the auxiliary information may be pre-stored in the terminal, or may be sent to the terminal by the network device.
  • the capability information of the terminal is used to determine the candidate models that the terminal can adopt.
  • the terminal may determine N candidate models that meet the current data service scenario from the M models.
  • the terminal may determine N candidate models that meet the outdoor scenario from the M models.
  • the network device may also determine N candidate models from the M models.
  • the specific implementation is similar to that of the terminal side and will not be described in detail here.
  • Step S2102 The terminal determines the target model.
  • the target model is a model determined by the terminal for performing CSI compression and CSI decompression.
  • the terminal may determine a target model from N candidate models based on a selection rule.
  • Determining a target model from N candidate models based on a selection rule includes at least one of the following:
  • a target model is determined from the N candidate models.
  • Step S2103 The terminal sends the first information.
  • the terminal sends first information to the network device.
  • the first information is used to indicate a target model.
  • the first information is used to indicate a model identifier of the target model.
  • the first information is used to indicate a position of the target model in the M models.
  • the terminal bits indicate 1 target model from M models.
  • M 16 that is, there are 16 models, and the terminal passes bits indicate the 0th to 15th selected target models.
  • the first information is used to indicate a position of the target model among the N candidate models.
  • the terminal bits indicate the target model from N candidate models.
  • the first information is used to indicate N candidate models.
  • the target model is determined from N candidate models.
  • the first information indicating the target model and the first information indicating the N candidate models may be the same information or different information.
  • the first information may indicate the N candidate models in a bitmap or other manner.
  • the terminal bits indicate the selected N candidate models, where bits are used to determine the value of N, bits are used to indicate the N models selected from M.
  • the term "information” can be interchangeably with terms such as “message”, “signal”, “signaling”, “report”, “configuration”, “indication”, “instruction”, “command”, “channel”, “parameter”, “field”, and "data”.
  • the term “send” can be interchangeable with terms such as “transmit”, “report”, and “transmit”.
  • the information transmission method involved in the embodiments of the present disclosure may include at least one of steps S2101 to S2103.
  • step S2101 may be implemented as an independent embodiment
  • step S2102 may be implemented as an independent embodiment
  • step S2103 may be implemented as an independent embodiment
  • step S2102 combined with step S2103 may be implemented as an independent embodiment, but not limited thereto.
  • FIG2b is an interactive schematic diagram of an information transmission method according to an embodiment of the present disclosure. As shown in FIG2b, the present disclosure embodiment relates to an information transmission method, which is used in a communication system 100, and the method includes:
  • Step S2201 The terminal determines a candidate model.
  • the terminal determines N candidate models from M models based on the second information.
  • N is a positive integer, and 1 ⁇ N ⁇ M.
  • the M models may be candidate models selected by the terminal after accessing the network.
  • the M models may be candidate models determined by the terminal in step 2101 in FIG. 2a based on the second information.
  • the M models in the embodiment of FIG. 2b may be the N candidate models determined in the embodiment of FIG. 2a .
  • N candidate models are determined from M models, which may be K candidate models determined from N candidate models determined in the embodiment of FIG2a, where K is a positive integer and 1 ⁇ K ⁇ N.
  • FIG. 2b The following embodiment of FIG. 2b is described by taking the example of a terminal determining K candidate models from N candidate models.
  • K candidate models are determined from N candidate models.
  • the model may include at least one of the following: an AI model; an ML model.
  • the model includes a first model and at least one of a second model, wherein the first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device end and is used to decompress the compressed CSI.
  • the first model has a binding relationship with the second model.
  • model identifier of the first model and the model identifier of the second model may be the same.
  • model identifier of the first model and the model identifier of the second model may have a binding association.
  • the terminal determining the candidate model may include at least one of the following: the terminal determining the first model; the terminal determining the second model; the terminal determining the first model and the second model.
  • the terminal determining the first model is equivalent to determining the second model at the same time.
  • the terminal determining the second model is equivalent to determining the first model at the same time.
  • the second information may be determined by the terminal.
  • the second information may be used to indicate conditions that the candidate model needs to satisfy.
  • the second information includes at least one of the following:
  • Indication information indicating the current state of the terminal.
  • the indication information of the current state of the terminal may be used to indicate at least one of the following:
  • K candidate models may satisfy the current state of the terminal.
  • the terminal may determine K candidate models of the current state of the terminal (eg, power state) from N candidate models selected when accessing the network.
  • Step S2202 The terminal sends the third information.
  • the terminal sends third information indicating a current state of the terminal to the network device.
  • the third information is used by the network device to determine whether to allow the terminal to determine the target model from K candidate models.
  • the current state of the terminal may include: the current model is unavailable.
  • the network device may deactivate the current model that is not available.
  • Step S2203 The network device sends the fourth information.
  • fourth information sent by the network device is received, and the fourth information is used to indicate whether the terminal is allowed to determine the target model from the K candidate models.
  • the fourth information may instruct the terminal to perform a fall back operation. If the fourth information indicates that the terminal is not allowed to determine the target model from the N candidate models, the terminal no longer determines a new target model.
  • Step S2204 The terminal determines the target model.
  • the terminal may determine a target model from K candidate models based on a selection rule.
  • Determining the target model from the K candidate models based on the selection rule includes at least one of the following:
  • a target model is determined from the K candidate models.
  • Step S2205 The terminal sends the first information.
  • the terminal sends first information to the network device.
  • the first information is used to indicate a target model.
  • the first information is used to indicate a model identifier of the target model.
  • the first information is used to indicate a position of the target model in the N models.
  • the UE can bits or a bitmap of size N bits indicates the K candidate models available, where bits are used to determine the value of K, It is used to indicate which K models are selected from N, and then the UE passes Indicates the target model selected from K models, or the UE directly indicates the ID of the selected model to the NW.
  • the management of models may include management based on model IDs and management based on function IDs.
  • the above-mentioned indication of the selected model by model ID may also be indicated by the indication of function IDs. That is, the model ID may be replaced by the function ID.
  • the model identification includes at least one of the following: model ID, function ID.
  • the term “information” can be interchangeably used with terms such as “message”, “signal”, “signaling”, “report”, “configuration”, “indication”, “instruction”, “command”, “channel”, “parameter”, “field”, and “data”.
  • the term “send” can be interchangeable with terms such as “transmit”, “report”, and “transmit”.
  • the information transmission method involved in the embodiment of the present disclosure may include at least one of steps S2201 to S2205.
  • step S2201 may be implemented as an independent embodiment
  • step S2202 may be implemented as an independent embodiment
  • step S2203 may be implemented as an independent embodiment.
  • step S2204 can be implemented as an independent embodiment
  • step S2205 can be implemented as an independent embodiment
  • steps S2201 to 2205 can be implemented in combination as independent embodiments
  • step S2201 can be implemented in combination with step 2204 and step 2205 as independent embodiments, but not limited thereto.
  • FIG2c is an interactive schematic diagram of an information transmission method according to an embodiment of the present disclosure. As shown in FIG2c, the present disclosure embodiment relates to an information transmission method, which is used in a communication system 100, and the method includes:
  • Step S2301 The terminal sends the first information.
  • the terminal sends first information to the network device.
  • the first information is used by the network device to determine the target model from M models.
  • the model may include at least one of the following: an AI model; an ML model.
  • the model includes a first model and at least one of a second model, wherein the first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device end and is used to decompress the compressed CSI.
  • the first model has a binding relationship with the second model.
  • model identifier of the first model and the model identifier of the second model may be the same.
  • model identifier of the first model and the model identifier of the second model may have a binding association.
  • the first information instructs the network device to determine a model parameter used by the target model from the M models, wherein the model parameter includes at least one of the following:
  • a channel feature vector determined by the terminal is
  • the M models respectively correspond to model identifiers.
  • the terminal may determine a characteristic vector of a channel based on a downlink pilot.
  • the terminal may use M first models of the terminal to compress the feature vector and determine the compressed CSI.
  • the network device may send an instruction to the terminal to instruct the network device to determine the target model.
  • the terminal sends the first information to the network device based on the instruction.
  • the compressed CSIs corresponding to the M models respectively may be identified and distinguished by using model identifiers of the models.
  • the compressed CSI may be sent using a predefined rule, and the network device determines a model corresponding to the compressed CSI based on the rule.
  • the content included in the first information may be sent through a single signaling.
  • the content included in the first information may be sent through multiple signalings.
  • one first information corresponds to a model.
  • one signaling may send one first information corresponding to one or more models.
  • Step S2302 The network device determines the target model.
  • the network device determines a target model from the M models based on the first information.
  • the network device determines performance parameters of the M models for the channel feature vector according to the first information, and determines the target model based on the performance parameters.
  • the network device may determine an intermediate KPI of the model based on the compressed CSI.
  • the intermediate KPI may include the square of the cosine similarity, etc.
  • the intermediate KPI may be used for the network device to select a target model.
  • the network device may determine the model with the best intermediate KPI as the target model.
  • Step S2303 The network device sends the sixth information.
  • the network device may send sixth information to the terminal to indicate the target model selected by the network device.
  • the term "information” can be interchangeably with terms such as “message”, “signal”, “signaling”, “report”, “configuration”, “indication”, “instruction”, “command”, “channel”, “parameter”, “field”, and "data”.
  • the term “send” can be interchangeable with terms such as “transmit”, “report”, and “transmit”.
  • the information transmission method involved in the embodiment of the present disclosure may include at least one of steps S2301 to S2303.
  • Step S2301 can be implemented as an independent embodiment
  • step S2302 can be implemented as an independent embodiment
  • step S2303 can be implemented as an independent embodiment
  • steps S2301 to 2303 can be implemented in combination as independent embodiments, but not limited to this.
  • FIG2d is an interactive schematic diagram of an information transmission method according to an embodiment of the present disclosure.
  • the present disclosure embodiment relates to an information transmission method, which is used in a communication system 100, and the method includes:
  • Step S2401 The network device determines a candidate model.
  • the network device selects N candidate models from the M models.
  • the network device determines N candidate models from M models based on the second information.
  • N is a positive integer, and 1 ⁇ N ⁇ M.
  • the M models may be all available models for the configuration.
  • the candidate models are provided for the terminal and/or the network device to select a target model from.
  • the target model is used to perform CSI compression and CSI decompression.
  • the second information may be sent by the terminal to the network device.
  • the second information may be pre-stored in the network device.
  • the second information may be determined by the network device.
  • the model may include at least one of the following: an AI model; an ML model.
  • the model includes a first model and at least one of a second model, wherein the first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device end and is used to decompress the compressed CSI.
  • the first model has a binding relationship with the second model.
  • model identifier of the first model and the model identifier of the second model may be the same.
  • model identifier of the first model and the model identifier of the second model may have a binding association.
  • the network device determining the candidate model may include at least one of the following: the network device determining the first model; the network device determining the second model; the network device determining the first model and the second model.
  • the network device determining the first model is equivalent to determining the second model at the same time.
  • the network device determining the second model is equivalent to determining the first model at the same time.
  • the second information may be used to indicate conditions that the candidate model needs to satisfy.
  • the second information includes at least one of the following:
  • the auxiliary information may be pre-stored in the network device.
  • the auxiliary information is used to indicate at least one of the following:
  • the capability information of the terminal is used to determine the candidate models that the terminal can adopt.
  • the network device may determine N candidate models that meet the current data service scenario from the M models. For example, the network device may determine N candidate models that meet the outdoor scenario from the M models.
  • Step S2402 The network device sends the sixth information.
  • the sixth information is used to indicate the N candidate models determined by the network device from the M models.
  • the sixth information may be a bitmap of M bits.
  • the M-bit bitmap may be used to indicate N candidate models among the M models.
  • N is an integer greater than or equal to 1 and less than or equal to M.
  • the sixth information may be provided by bits indicate N candidate models among which bits are used to determine the value of N, bits are used to indicate the N candidate models selected from M.
  • Step S2403 The terminal sends the first information.
  • the first information is used to indicate whether the network device is allowed to determine the target model.
  • the first information when the first information is a first value, it indicates that the target model is determined by a network device.
  • the first information when the first information is the second value, it indicates that the network device is not allowed to determine the target model.
  • the terminal determines whether N candidate models are available, and if at least one of the N candidate models is available, if none of the N candidate models are available, sends first information indicating that the network device is not allowed to determine the target model.
  • Step S2404 The network device determines the target model.
  • the network device determines a target model from N candidate models.
  • the target model is determined from N candidate models.
  • the network device may determine a target model from N candidate models based on performance parameters of the candidate models, etc.
  • the network device may determine a target model from N candidate models based on intermediate KPIs of the candidate models, etc.
  • Step S2405 The network device sends the seventh information.
  • the seventh information is used to instruct the network device to determine the target model from N candidate models.
  • the seventh information may indicate a model identification of the target model.
  • the seventh information is bits indicate that the target model is determined from N candidate models.
  • the term "information” can be interchangeably with terms such as “message”, “signal”, “signaling”, “report”, “configuration”, “indication”, “instruction”, “command”, “channel”, “parameter”, “field”, and "data”.
  • the term “send” can be interchangeable with terms such as “transmit”, “report”, and “transmit”.
  • the information transmission method involved in the embodiments of the present disclosure may include at least one of steps S2401 to S2405.
  • step S2401 may be implemented as an independent embodiment
  • step S2402 may be implemented as an independent embodiment
  • step S2403 may be implemented as an independent embodiment
  • step S2404 may be implemented as an independent embodiment
  • step S2405 may be implemented as an independent embodiment
  • steps S2401 to 2405 may be implemented in combination as an independent embodiment
  • step S2401, step S2404 and step 2405 may be implemented in combination as an independent embodiment
  • step S2401, step S2402, step S2404 and step 2405 may be implemented in combination as an independent embodiment, but not limited thereto.
  • FIG2e is an interactive schematic diagram of an information transmission method according to an embodiment of the present disclosure. As shown in FIG2e, the present disclosure embodiment relates to an information transmission method, which is used in a communication system 100, and the method includes:
  • Step S2501 The terminal determines a candidate model.
  • the terminal determines N candidate models from M models based on the second information.
  • N is a positive integer, and 1 ⁇ N ⁇ M.
  • the M models may be all available models for the configuration.
  • the candidate models are provided for the terminal and/or the network device to select a target model from.
  • the target model is used to perform CSI compression and CSI decompression.
  • the terminal may determine N candidate models from M models after accessing the network.
  • the terminal may further determine K candidate models from the N candidate models.
  • the N candidate models are determined from the M models when the terminal accesses the network, and the K candidate models are determined from the N candidate models according to the current state of the terminal etc. after the terminal runs for a stage.
  • N candidate models This embodiment is described by taking N candidate models as an example.
  • the processing method of K candidate models is similar to the processing method of N candidate models, which will not be repeated here.
  • the second information may be sent by the network device to the terminal.
  • the second information may be pre-stored in the terminal.
  • the second information may be determined by the terminal.
  • the model may include at least one of the following: an AI model; an ML model.
  • the model includes a first model and at least one of a second model, wherein the first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device end and is used to decompress the compressed CSI.
  • the first model has a binding relationship with the second model.
  • model identifier of the first model and the model identifier of the second model may be the same.
  • model identifier of the first model and the model identifier of the second model may have a binding association.
  • the terminal determining the candidate model may include at least one of the following: the terminal determining the first model; the terminal determining the second model; the terminal determining the first model and the second model.
  • the terminal determining the first model is equivalent to determining the second model at the same time.
  • the terminal determining the second model is equivalent to determining the first model at the same time.
  • the second information may be used to indicate conditions that the candidate model needs to satisfy.
  • the second information includes at least one of the following:
  • the auxiliary information may be pre-stored in the terminal, or may be sent to the terminal by the network device.
  • the auxiliary information is used to indicate at least one of the following:
  • the capability information of the terminal is used to determine the candidate models that the terminal can adopt.
  • the network device may also determine N candidate models from the M models.
  • the specific implementation is similar to that of the terminal side and will not be described in detail here.
  • Step S2502 The terminal sends the first information.
  • the terminal sends first information to the network device.
  • the first information is used to indicate N candidate models.
  • the target model is determined from N candidate models.
  • the first information is used to indicate N candidate models for the network device to determine the target model.
  • the N candidate models may be the N candidate models determined in the embodiment of Fig. 2a, or the K candidate models determined in the embodiment of Fig. 2b. This embodiment takes N candidate models as an example.
  • the first information indicating the target model and the first information indicating the N candidate models may be the same information or different information.
  • the first information may indicate the N candidate models in a bitmap or other manner.
  • the first information may be a bitmap of M bits, used to indicate N candidate models selected from M models.
  • the terminal bits indicate the selected N candidate models, where bits are used to determine the value of N, bits are used to indicate the N models selected from M.
  • Step S2503 The network device determines the target model.
  • the network device may determine a target model from N candidate models based on a selection rule.
  • Determining a target model from N candidate models based on a selection rule includes at least one of the following:
  • a target model is determined from the N candidate models.
  • Step S2504 The network device sends the fifth information.
  • the network device sends fifth information to the terminal.
  • the fifth information is used to indicate a target model.
  • the fifth information is used to indicate a model identifier of the target model.
  • the fifth information is used to indicate the position of the target model among the N candidate models.
  • the terminal bits indicate the target model from N candidate models.
  • the fifth information indicates a manner in which the terminal sends the CSI.
  • the fifth information indicates a manner in which the terminal sends the CSI, which is different from a manner in which the CSI is compressed by a model.
  • the fifth information indicates that the terminal may send CSI in a traditional non-AI CSI feedback manner.
  • the terminal compresses the CSI based on the target model indicated by the fifth information.
  • the terminal sends CSI based on the manner of sending CSI indicated by the fifth information.
  • the term "information” can be interchangeably with terms such as “message”, “signal”, “signaling”, “report”, “configuration”, “indication”, “instruction”, “command”, “channel”, “parameter”, “field”, and "data”.
  • the term “send” can be interchangeable with terms such as “transmit”, “report”, and “transmit”.
  • the information transmission method involved in the embodiment of the present disclosure may include at least one of steps S2501 to S2505.
  • Step S2501 can be implemented as an independent embodiment
  • step S2502 can be implemented as an independent embodiment
  • step S2503 can be implemented as an independent embodiment
  • step S2504 can be implemented as an independent embodiment
  • step S2505 can be implemented as an independent embodiment
  • steps S2501 to 2505 can be implemented in combination as independent embodiments
  • step S2501 is combined with step 2504, and step 2505 is implemented as an independent embodiment, but not limited to this.
  • FIG3a is a flow chart of an information transmission method according to an embodiment of the present disclosure. As shown in FIG3a, the present disclosure embodiment relates to an information transmission method, which is executed by a terminal 101, and the method includes:
  • Step S3101 Determine candidate models.
  • step S3101 can refer to the optional implementation of step S2101 in Figure 2a and other related parts of the embodiment involved in Figure 2a, which will not be repeated here.
  • Step S3102 Determine the target model.
  • step S3102 can refer to the optional implementation of step S2102 in Figure 2a and other related parts of the embodiment involved in Figure 2a, which will not be repeated here.
  • Step S3103 Send the first information.
  • step S3103 can refer to the optional implementation of step S2103 in Figure 2a and other related parts of the embodiment involved in Figure 2a, which will not be repeated here.
  • step S3101 may be implemented as an independent embodiment
  • step S3102 may be implemented as an independent embodiment
  • step S3103 may be implemented as an independent embodiment but is not limited thereto.
  • FIG3b is a flow chart of an information transmission method according to an embodiment of the present disclosure. As shown in FIG3b, the present disclosure embodiment relates to an information transmission method, which is executed by a terminal 101, and the method includes:
  • Step S3201 Determine candidate models.
  • step S3201 can refer to the optional implementation of step S2201 in Figure 2b and other related parts of the embodiment involved in Figure 2b, which will not be repeated here.
  • Step S3202 Send the third information.
  • step S3202 can refer to the optional implementation of step S2202 in Figure 2b and other related parts of the embodiment involved in Figure 2b, which will not be repeated here.
  • Step S3203 Obtain the fourth information.
  • step S3202 can refer to the optional implementation of step S2202 in Figure 2b and other related parts of the embodiment involved in Figure 2b, which will not be repeated here.
  • the terminal 101 receives the first information sent by the network device 102, but is not limited thereto and may also receive the first information sent by other entities.
  • terminal 101 obtains first information specified by a protocol.
  • terminal 101 obtains first information from an upper layer(s).
  • terminal 101 performs processing to obtain the first information.
  • step S3203 is omitted, and the terminal 101 autonomously implements the function indicated by the first information, or the above function is default or default.
  • Step S3204 Determine the target model.
  • step S3204 can refer to the optional implementation of step S2204 in Figure 2b and other related parts of the embodiment involved in Figure 2b, which will not be repeated here.
  • Step S3205 Send the first information.
  • step S3205 can refer to the optional implementation of step S2205 in Figure 2b and other related parts of the embodiment involved in Figure 2b, which will not be repeated here.
  • the information transmission method involved in the embodiments of the present disclosure may include at least one of steps S3201 to S3205.
  • step S3201 may be implemented as an independent embodiment
  • step S3202 may be implemented as an independent embodiment
  • step S3203 may be implemented as an independent embodiment
  • step S3204 may be implemented as an independent embodiment
  • step S3205 may be implemented as an independent embodiment
  • steps S3201 to 3205 may be implemented in combination as independent embodiments
  • step S3201 may be combined with step 3204
  • step 3205 may be implemented as independent embodiments, but not limited thereto.
  • FIG3c is a flow chart of an information transmission method according to an embodiment of the present disclosure.
  • the example relates to an information transmission method, which is executed by the terminal 101, and the method includes:
  • Step S3301 Send the first information.
  • step S3301 can refer to the optional implementation of step S2301 in Figure 2c and other related parts of the embodiment involved in Figure 2c, which will not be repeated here.
  • Step S3302 Obtain sixth information.
  • step S3302 can refer to the optional implementation of step S2303 in Figure 2c and other related parts of the embodiment involved in Figure 2c, which will not be repeated here.
  • the terminal 101 receives the sixth information sent by the network device 102, but is not limited thereto, and may also receive the first information sent by other entities.
  • terminal 101 obtains sixth information specified by the protocol.
  • terminal 101 obtains the sixth information from an upper layer (upper layer(s)). In some embodiments, terminal 101 performs processing to obtain the sixth information.
  • step S3302 is omitted, and the terminal 101 autonomously implements the function indicated by the sixth information, or the above function is default or default.
  • step S3301 may be implemented as an independent embodiment
  • step S3302 may be implemented as an independent embodiment but is not limited thereto.
  • FIG3d is a flow chart of an information transmission method according to an embodiment of the present disclosure. As shown in FIG3d, the present disclosure embodiment relates to an information transmission method, which is executed by the terminal 101, and the method includes:
  • Step S3401 Obtain sixth information.
  • step S3401 can refer to the optional implementation of step S2402 in Figure 2d and other related parts of the embodiment involved in Figure 2d, which will not be repeated here.
  • the terminal 101 receives the sixth information sent by the network device 102, but is not limited thereto, and may also receive the sixth information sent by other entities.
  • terminal 101 obtains sixth information specified by the protocol.
  • terminal 101 obtains sixth information from upper layer(s).
  • terminal 101 performs processing to obtain sixth information.
  • step S3401 is omitted, and the terminal 101 autonomously implements the function indicated by the sixth information, or the above function is default or default.
  • Step S3402 Send the first information.
  • step S3402 can refer to the optional implementation of step S2403 in Figure 2d and other related parts of the embodiment involved in Figure 2d, which will not be repeated here.
  • Step S3403 Obtain the seventh information.
  • step S3403 can refer to the optional implementation of step S2405 in Figure 2d and other related parts of the embodiment involved in Figure 2d, which will not be repeated here.
  • the terminal 101 receives the seventh information sent by the network device 102, but is not limited thereto, and may also receive the seventh information sent by other entities.
  • terminal 101 obtains seventh information specified by the protocol.
  • terminal 101 obtains the seventh information from an upper layer(s).
  • terminal 101 performs processing to obtain the seventh information.
  • step S3403 is omitted, and the terminal 101 autonomously implements the function indicated by the seventh information, or the above function is default or by default.
  • the information transmission method involved in the embodiments of the present disclosure may include at least one of steps S3401 to S3403.
  • step S3401 may be implemented as an independent embodiment
  • step S3402 may be implemented as an independent embodiment
  • step S3403 may be implemented as an independent embodiment
  • step S3401 may be implemented in combination with step 3403 as an independent embodiment, but not limited thereto.
  • FIG3e is a flow chart of an information transmission method according to an embodiment of the present disclosure. As shown in FIG3e, the present disclosure embodiment relates to an information transmission method, which is executed by terminal 101, and the method includes:
  • Step S3501 Determine candidate models.
  • step S3501 can refer to the optional implementation of step S2501 in Figure 2e and other related parts of the embodiment involved in Figure 2e, which will not be repeated here.
  • Step S3502 Send the first information.
  • step S3502 can refer to the optional implementation of step S2502 in Figure 2e and other related parts of the embodiment involved in Figure 2e, which will not be repeated here.
  • Step S3503 Obtain the fifth information.
  • step S3503 can refer to the optional implementation of step S2504 in Figure 2e and other related parts of the embodiment involved in Figure 2e, which will not be repeated here.
  • the terminal 101 receives the fifth information sent by the network device 102, but is not limited thereto, and may also receive the fifth information sent by other entities.
  • terminal 101 obtains fifth information specified by the protocol.
  • terminal 101 obtains the fifth information from an upper layer(s).
  • terminal 101 performs processing to obtain the fifth information.
  • step S3503 is omitted, and the terminal 101 autonomously implements the function indicated by the fifth information, or the above function is default or acquiescent.
  • step S3501 can be implemented as an independent embodiment
  • step S3502 can be implemented as an independent embodiment
  • step S3503 can be implemented as an independent embodiment
  • steps S3501 to 3503 can be implemented in combination as independent embodiments, but not limited thereto.
  • FIG3f is a flow chart of an information transmission method according to an embodiment of the present disclosure. As shown in FIG3f, the present disclosure embodiment relates to an information transmission method, which is executed by the terminal 101, and the method includes:
  • Step S3601 Send the first information.
  • the first information is used to determine a target model for compressing and transmitting channel state information CSI, and the model includes at least one of a first model and a second model.
  • the first model is located at the terminal and is used to compress the CSI
  • the second model is located at the network device and is used to decompress the compressed CSI.
  • the first model corresponds to the second model.
  • the method further comprises:
  • N candidate models are determined from the M models, wherein the N candidate models are used to determine the target model, and N is a positive integer, and 1 ⁇ N ⁇ M.
  • the second information includes at least one of the following:
  • Auxiliary information for determining a candidate model wherein the auxiliary information is used to indicate output information of the second model
  • the method further comprises:
  • the method further comprises:
  • the first information is used to indicate the N candidate models, wherein the target model is determined from the N candidate models.
  • the first information is used by the network device to determine the target model from the N candidate models.
  • the method further comprises:
  • Receive fifth information where the fifth information is used to indicate one of the following:
  • the terminal sends CSI in a manner, wherein the fifth information is sent by the network device without determining the target model.
  • the first information is used by the network device to determine the target model from M models; or
  • the first information is a first value, it indicates that the target model is determined by the network device.
  • the first information when the first information is a second value, it indicates that the network device is not allowed to determine the target model.
  • the method further comprises:
  • the first information is used by the network device to determine the target model from M models, and the sixth information is used to indicate the target model; or
  • the sixth information is used to indicate the N candidate models determined by the network device from the M models.
  • the method further comprises:
  • seventh information sent by the network device is received, wherein the seventh information is used to indicate one of the following:
  • the network device determines a target model from the N candidate models
  • the terminal performs a fallback operation, wherein the seventh information is sent when the network device determines that it does not have the candidate model, or the network device is not allowed to determine the target model from the N candidate models.
  • the first information instructs the network device to determine a model parameter used by the target model from the M models, wherein the model parameter includes at least one of the following:
  • a channel feature vector determined by the terminal is
  • the M models respectively correspond to model identifiers.
  • FIG4a is a flow chart of an information transmission method according to an embodiment of the present disclosure. As shown in FIG4a, the present disclosure embodiment relates to an information transmission method, which is executed by a network device 102, and the method includes:
  • Step S4101 Obtain first information.
  • step S4101 can refer to the optional implementation of step S2103 in Figure 2a and other related parts of the embodiment involved in Figure 2a, which will not be repeated here.
  • the network device 102 receives the first information sent by the terminal 101, but is not limited thereto and may also receive the first information sent by other entities.
  • the network device 102 obtains first information specified by the protocol.
  • the network device 102 obtains the first information from an upper layer(s).
  • the network device 102 performs processing to obtain the first information.
  • step S4101 is omitted, and the network device 102 autonomously implements the function indicated by the first information, or the above function is default or acquiescent.
  • FIG4b is a flow chart of an information transmission method according to an embodiment of the present disclosure. As shown in FIG4b, the present disclosure embodiment relates to an information transmission method, which is executed by the network device 102, and the method includes:
  • Step S4201 Obtain third information.
  • step S4201 can refer to the optional implementation of step S2202 in Figure 2b and other related parts of the embodiment involved in Figure 2b, which will not be repeated here.
  • the network device 102 receives the third information sent by the terminal 101, but is not limited thereto and may also receive the third information sent by other entities.
  • the network device 102 obtains third information specified by the protocol.
  • the network device 102 obtains the third information from an upper layer(s).
  • the network device 102 performs processing to obtain the third information.
  • step S4201 is omitted, and the network device 102 autonomously implements the function indicated by the third information, or the above function is default or default.
  • Step S4202 Send the fourth information.
  • step S4202 can refer to the optional implementation of step S2203 in Figure 2b and other related parts of the embodiment involved in Figure 2b, which will not be repeated here.
  • Step S4203 Obtain first information.
  • step S4203 can refer to the optional implementation of step S2205 in Figure 2b and other related parts of the embodiment involved in Figure 2b, which will not be repeated here.
  • the network device 102 receives the first information sent by the terminal 101, but is not limited thereto and may also receive the first information sent by other entities.
  • the network device 102 obtains first information specified by the protocol.
  • the network device 102 obtains the first information from an upper layer(s).
  • the network device 102 performs processing to obtain the first information.
  • step S4203 is omitted, and the network device 102 autonomously implements the function indicated by the first information, or the above function is default or acquiescent.
  • step S4201 may be implemented as an independent embodiment
  • step S4202 may be implemented as an independent embodiment
  • step S4203 may be implemented as an independent embodiment
  • steps 4201 to 4203 may be implemented in combination as independent embodiments, but not limited thereto.
  • FIG4c is a flow chart of an information transmission method according to an embodiment of the present disclosure. As shown in FIG4c, the present disclosure embodiment relates to an information transmission method, which is executed by the network device 102, and the method includes:
  • Step S4301 Obtain first information.
  • step S4301 can refer to the optional implementation of step S2301 in Figure 2c and other related parts of the embodiment involved in Figure 2c, which will not be repeated here.
  • the network device 102 receives the first information sent by the terminal 101, but is not limited thereto and may also receive the first information sent by other entities.
  • the network device 102 obtains first information specified by the protocol.
  • the network device 102 obtains the first information from an upper layer(s). In some embodiments, the network device 102 performs processing to obtain the first information.
  • step S4301 is omitted, and the network device 102 autonomously implements the function indicated by the first information, or the above function is default or acquiescent.
  • Step S4302 Determine the target model.
  • step S4302 can refer to the optional implementation of step S2302 in Figure 2c and other related parts of the embodiment involved in Figure 2c, which will not be repeated here.
  • Step S4303 Send the sixth information.
  • step S43032 can refer to the optional implementation of step S2303 in Figure 2c and other related parts of the embodiment involved in Figure 2c, which will not be repeated here.
  • step S4301 may be implemented as an independent embodiment
  • step S4302 may be implemented as an independent embodiment
  • step S4303 may be implemented as an independent embodiment but is not limited thereto.
  • FIG4d is a flow chart of an information transmission method according to an embodiment of the present disclosure. As shown in FIG4d, the present disclosure embodiment relates to an information transmission method, which is executed by the network device 102, and the method includes:
  • Step S4401 Determine candidate models.
  • step S4401 can refer to the optional implementation of step S2401 in Figure 2d and other related parts of the embodiment involved in Figure 2d, which will not be repeated here.
  • Step S4402 Send the sixth message.
  • step S4402 can refer to the optional implementation of step S2402 in Figure 2d and other related parts of the embodiment involved in Figure 2d, which will not be repeated here.
  • Step S4403 Obtain first information.
  • step S4403 can refer to the optional implementation of step S2403 in Figure 2d and other related parts of the embodiment involved in Figure 2d, which will not be repeated here.
  • the network device 102 receives the first information sent by the terminal 101, but is not limited thereto and may also receive the first information sent by other entities.
  • the network device 102 obtains first information specified by the protocol.
  • the network device 102 obtains the first information from an upper layer(s).
  • the network device 102 performs processing to obtain the first information.
  • step S4403 is omitted, and the network device 102 autonomously implements the function indicated by the first information, or the above function is default or acquiescent.
  • Step S4404 Determine the target model.
  • step S4404 can refer to the optional implementation of step S2404 in Figure 2d and other related parts of the embodiment involved in Figure 2d, which will not be repeated here.
  • Step S4405 Send the seventh message.
  • step S4405 can refer to the optional implementation of step S2405 in Figure 2d and other related parts of the embodiment involved in Figure 2d, which will not be repeated here.
  • the information transmission method involved in the embodiments of the present disclosure may include at least one of steps S4401 to S4405.
  • step S4401 may be implemented as an independent embodiment
  • step S4402 may be implemented as an independent embodiment
  • step S4403 may be implemented as an independent embodiment
  • step S4404 may be implemented as an independent embodiment
  • step S4405 may be implemented as an independent embodiment
  • step S4401 may be implemented in combination with step 4405 as an independent embodiment
  • step S4401 may be implemented in combination with step 4405 as an independent embodiment
  • step S4401 may be implemented in combination with step 4405 as an independent embodiment
  • step S4401, step S4402, step S4404 and step 4405 may be implemented in combination as independent embodiments, but not limited thereto.
  • FIG4e is a flow chart of an information transmission method according to an embodiment of the present disclosure. As shown in FIG4e, the present disclosure embodiment relates to an information transmission method, which is executed by the network device 102, and the method includes:
  • Step S4501 Obtain first information.
  • step S4501 can refer to the optional implementation of step S2502 in Figure 2e and other related parts of the embodiment involved in Figure 2e, which will not be repeated here.
  • the network device 102 receives the first information sent by the terminal 101, but is not limited thereto and may also receive the first information sent by other entities.
  • the network device 102 obtains first information specified by the protocol.
  • the network device 102 obtains the first information from an upper layer(s).
  • the network device 102 performs processing to obtain the first information.
  • step S4501 is omitted, and the network device 102 autonomously implements the function indicated by the first information, or the above function is default or acquiescent.
  • Step S4502 Determine the target model.
  • step S4502 can refer to the optional implementation of step S2503 in Figure 2e and other related parts of the embodiment involved in Figure 2e, which will not be repeated here.
  • Step S4503 Send the fifth information.
  • step S4503 can refer to the optional implementation of step S2504 in Figure 2e and other related parts of the embodiment involved in Figure 2e, which will not be repeated here.
  • FIG5 is a flow chart of an information transmission method according to an embodiment of the present disclosure. As shown in FIG5, the present disclosure embodiment relates to an information transmission method, which is executed by a network device 102, and the method includes:
  • Step S5101 Receive first information.
  • the first information is used to determine a target model for compressing and transmitting channel state information CSI, and the model includes at least one of a first model and a second model.
  • the first model is located at the terminal and is used to compress the CSI
  • the second model is located at the network device and is used to decompress the compressed CSI.
  • the first model corresponds to the second model.
  • the method further comprises:
  • Sending second information wherein the second information is used by the terminal to determine N candidate models from M models, wherein the N candidate models are used to determine the target model, and N is a positive integer, and 1 ⁇ N ⁇ M.
  • the second information includes at least one of the following:
  • the N candidate models are used by the terminal to determine the target model; wherein the first information is used to indicate the target model determined by the terminal.
  • the method further comprises:
  • Send fourth information where the fourth information is used to indicate whether the terminal is allowed to determine the target model from the N candidate models.
  • the first information is used to indicate the N candidate models, wherein the target model is determined from the N candidate models.
  • the method further comprises:
  • the target model is determined from the N candidate models.
  • the method further comprises:
  • the terminal sends CSI in a manner, wherein the fifth information is sent by the network device without determining the target model.
  • the first information is used by the network device to determine the target model from M models; or
  • the first information is a first value, it indicates that the target model is determined by the network device.
  • the first information when the first information is a second value, it indicates that the network device is not allowed to determine the target model.
  • the method further comprises:
  • the first information is used by the network device to determine the target model from M models, and the sixth information is used to indicate the target model; or
  • the sixth information is used to indicate the N candidate models determined by the network device from the M models.
  • the method further comprises:
  • seventh information is sent, where the seventh information is used to indicate one of the following:
  • the terminal performs a fallback operation, wherein the seventh information is sent when the network device determines that it does not have the candidate model, or the network device is not allowed to determine the target model from the N candidate models.
  • the first information instructs the network device to determine a model parameter used by the target model from the M models, wherein the model parameter includes at least one of the following:
  • a channel feature vector determined by the terminal is
  • the M models respectively correspond to model identifiers.
  • FIG6 is an interactive schematic diagram of an information transmission method according to an embodiment of the present disclosure. As shown in FIG6 , the present disclosure embodiment relates to an information transmission method, which is used in a communication system 100, and the method includes one of the following steps:
  • the first information is used to determine a target model for compressing and transmitting the channel state information CSI, the model comprising at least one of a first model and a second model;
  • the first model is located at the terminal and is used to compress the CSI
  • the second model is located at the network device and is used to decompress the compressed CSI
  • the first model corresponds to the second model.
  • step S6101 see step S2103 of FIG. 2a, step S2205 of FIG. 2b, step S2301 of FIG. 2c, step S2403 of FIG. 2d, step S2502 of FIG. 2e, step S3103 of FIG. 3a, step S3205 of FIG. 3b, step S3301 of FIG. 3c, step S3401 of FIG. 3d, step S3502 of FIG. 3e, step S3601 of FIG. 3f, step S4101 of FIG.
  • Step S4203 of Figure 4b Step S4301 of Figure 4c, step S4403 of Figure 4d, step S4501 of Figure 4e, step S5101 of Figure 5, step S6101 of Figure 6, and other related parts of the embodiments involved in Figures 2a, 2b, 2c, 2d, 2e, 3a, 3b, 3c, 3d, 3e, 3f, 4a, 4b, 4c, 4d, 4e, 5, and 6 will not be repeated here.
  • the above method may include the methods of the above-mentioned communication system side, terminal side, network device side, etc., which will not be repeated here.
  • the UE indicates the supported AI models for CSI compression through capability reporting.
  • the AI model described below can be a partial model on the UE (such as a terminal) side or the NW (such as a network device) side, or a partial model pair on the UE side and the NW side. The following gives an implementation method for selecting a model:
  • Implementation method 1 UE side selects the model.
  • Solution 1 (After the UE initially accesses the network, it makes the first selection based on M models):
  • Step 1 The UE side determines 1 ⁇ N ⁇ M models from M models according to the parameter information or other auxiliary information configured by the network. For example, the N models in the scenario are determined according to the scenario information configured by the network.
  • the method for determining the N models is as follows:
  • Method 1 According to NW configuration parameters or auxiliary information, both the UE and the NW can determine N models, such as determining that there are only these N models in a certain outdoor scene.
  • Method 2 UE reports Or a bitmap of size M indicates N models supported or available by the UE.
  • Step 2 UE selects one model from N models and sends the selected model indication information to NW, or UE directly sends the ID of the selected model to NW.
  • the overhead of indicating the selected model is or Optionally, the NW sends output information of the NW part model in the N models to the UE.
  • Solution 2 (After the UE runs the model for a period of time, due to hardware conditions such as UE power, the model with high complexity no longer supports all N models accordingly, where N is the N models determined in step 1 of solution 1.)
  • Alt1-1 The UE actively sends a signaling to the NW to notify the number of available models K and the indication information of selecting one model from the K models.
  • the UE determines to select one model from the K models based on the information output by one or N NW part models received.
  • the UE can Or a bitmap of size N indicates K candidate models, where To determine the value of K, It is used to indicate which K models are selected from N, and then the UE passes Indicate one model selected from K models, or the UE directly indicates the ID of the selected model to the NW.
  • the UE sends a signaling to the NW to indicate that the currently used model is no longer available, so that the NW deactivates the current model and performs a fallback operation, or the NW re-instructs the UE to select a model.
  • Alt1-2 The UE sends the UE status information to the NW, allowing the NW to determine whether to allow model selection, and sends the model selection indication information to the UE. The UE then determines whether to select another model from the K models based on the indication information sent by the NW. If the UE is allowed to select a model again, the UE selects one of the K models based on the Alt1-1 method. If the received signaling indicates that the UE performs a fallback operation, the UE does not need to perform model selection again.
  • the NW directly selects one model from M models based on the first information received from the UE.
  • the first information sent by the UE can be the characteristic vector of the channel information determined by the UE side based on the downlink pilot, the CSI and model ID related information after the characteristic vector is compressed using some models of M UE sides.
  • the first information sent by the UE is the information of M models sent to the NW after the UE receives the signaling sent by the NW to select the model on the NW side.
  • the contents contained in the first information can be sent through one signaling or multiple signaling. When the signaling is sent once, the compressed information corresponding to each model is distinguished by the model ID, or the compressed information of each model is sent separately according to predefined rules.
  • Step 1 NW sends indication information of N candidate models to UE through the first signaling. NW can indicate or instruct.
  • Step 2 NW receives the model selection indication information sent by UE to determine whether to select a model. If UE allows NW to select a model, NW selects one model from N ⁇ M models according to the received information sent by UE. If UE does not allow NW to select a model, such as there is no available model under the current configuration, NW does not select a model.
  • Step 3 The NW sends a second signaling to the UE to indicate the model selected by the NW, or to instruct the UE to perform a fall back operation.
  • the second signaling may include the model ID information selected by the NW, or Indicates the NW selected model.
  • Step 1 The UE receives network configuration parameter information or other auxiliary information and indication information for model selection, and determines 1 ⁇ N(K) ⁇ M(N) available models from M(N) models according to the received network configuration parameter information or other auxiliary information. For example, the N(K) models in the scenario are determined according to the scenario information of the network configuration, or the available K models are determined according to the operating status of the UE. The UE indicates the determined N or K models to the NW through the method of Alt1.
  • Step 2 NW receives the indication information of UE selecting N or K models, and receives the information sent by UE to select one model from N or K models. NW sends the selected model information or the indication information of the selected model result to UE, and the indication information is similar to that described in step 3 of Alt2-2, that is, or Indicate the selected model or send the selected model ID to the UE, or indicate that the NW has not selected a model that meets the requirements, and instruct the UE to perform other operations, such as Use traditional non-AI CSI feedback.
  • Step 3 The UE determines the model selected by the NW or the feedback mode of the UE according to the received NW selected model indication information.
  • Embodiment 1 (implementation method 1):
  • the gNB configures the UE with a cell identifier to indicate that the UE is currently in an outdoor scenario.
  • the gNB sends the information output by the two CSI recovery models to the UE for the UE to select the model.
  • the UE selects the model through Indicate the model selected by the UE, or the UE sends the ID of the selected model to the gNB.
  • the gNB sends a signaling to the UE to indicate whether the UE is allowed to adopt the selected model. If the UE is not allowed to adopt the selected model, the UE can use the traditional non-AI method to implement CSI feedback, or the UE still uses the original CSI generation model.
  • the UE After the UE runs for a period of time using the selected model, due to the UE power limit, the number of models allowed by the UE is reduced to K, or the runnable model is no longer available.
  • the UE can directly select a model and send the indication information of the selected model to the gNB. Or the UE determines whether to select a model after receiving the indication signaling sent by the gNB.
  • the gNB sends a signaling indication message to the UE to determine whether to let the UE use non-AI CSI feedback.
  • Embodiment 2 (implementation method 2):
  • the gNB sends the indication information of model selection to the UE, indicating that the UE sends the compressed information of M or N CSI generation partial models and the characteristic vector information of the channel information of each subband determined according to the downlink pilot such as CSI-RS to the gNB, and then the gNB selects one model from the M or N models according to the received information.
  • the gNB indicates the selected model information to the UE directly through the model ID or function ID, or the gNB indicates the selected model information to the UE directly through the model ID or function ID, or the gNB sends ... and Indicates the selected model.
  • Embodiment 3 (implementation method 3):
  • the UE after the UE receives the model selection indication information sent by the gNB, it first selects N models from the M models, or selects K available models from the N models. The UE sends the indication information of the N or K models selected by it to the gNB.
  • the gNB selects an optimal model from N or K models according to the received model indication information selected by the UE and the input information and output information of N or K models sent by the UE.
  • the input information of the N or K models can be the same or different.
  • the UE selects a periodic, semi-continuous, aperiodic reporting method or an event trigger method to report the input information and output information of these models to the gNB once or multiple times. Then the gNB reports the selected model information to the gNB through or Indicate to the UE, or directly send the selected model ID or function ID information to the UE.
  • the UE determines the CSI generation model adopted by the UE based on the indication information sent by the gNB, or determines whether to use the traditional non-AI method to feedback the CSI.
  • the embodiments of the present disclosure also provide a device for implementing any of the above methods.
  • a device is provided, and the above device includes a unit or module for implementing each step performed by the terminal in any of the above methods.
  • another device is provided, including a unit or module for implementing each step performed by a network device (such as an access network device, a core network function node, a core network device, etc.) in any of the above methods. Units or modules of each step.
  • the division of the units or modules in the above device is only a division of logical functions, which can be fully or partially integrated into one physical entity or physically separated in actual implementation.
  • the units or modules in the device can be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, and instructions are stored in the memory.
  • the processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the units or modules of the above device, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory inside the device or a memory outside the device.
  • CPU central processing unit
  • microprocessor a microprocessor
  • the units or modules in the device may be implemented in the form of hardware circuits, and the functions of some or all of the units or modules may be implemented by designing the hardware circuits.
  • the hardware circuits may be understood as one or more processors; for example, in one implementation, the hardware circuits are application-specific integrated circuits (ASICs), and the functions of some or all of the above units or modules may be implemented by designing the logical relationship of the components in the circuits; for another example, in another implementation, the hardware circuits may be implemented by programmable logic devices (PLDs), and Field Programmable Gate Arrays (FPGAs) may be used as an example, which may include a large number of logic gate circuits, and the connection relationship between the logic gate circuits may be configured by configuring the configuration files, thereby implementing the functions of some or all of the above units or modules. All units or modules of the above devices may be implemented in the form of software called by the processor, or in the form of hardware circuits, or in the form of software called by the processor, and the remaining part may be implemented in
  • the processor is a circuit with signal processing capability.
  • the processor may be a circuit with instruction reading and execution capability, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which may be understood as a microprocessor), or a digital signal processor (DSP); in another implementation, the processor may implement certain functions through the logical relationship of a hardware circuit, and the logical relationship of the above hardware circuit may be fixed or reconfigurable, such as a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA.
  • ASIC application-specific integrated circuit
  • PLD programmable logic device
  • the process of the processor loading a configuration document to implement the hardware circuit configuration may be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules.
  • it can also be a hardware circuit designed for artificial intelligence, which can be understood as ASIC, such as Neural Network Processing Unit (NPU), Tensor Processing Unit (TPU), Deep Learning Processing Unit (DPU), etc.
  • ASIC Neural Network Processing Unit
  • NPU Neural Network Processing Unit
  • TPU Tensor Processing Unit
  • DPU Deep Learning Processing Unit
  • FIG7a is a schematic diagram of the structure of the terminal proposed in an embodiment of the present disclosure.
  • the terminal 7100 may include: at least one of a transceiver module 7101, a processing module 7102, etc.
  • the above-mentioned transceiver module 7101 is used to send a first information, and the first information is used to determine a target model for compressing and transmitting the channel state information CSI, and the model includes at least one of a first model and a second model; wherein the first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device end and is used to decompress the compressed CSI; the first model corresponds to the second model.
  • the transceiver module is used to execute at least one of the communication steps such as sending and/or receiving executed by the terminal 101 in any of the above methods (for example, step S2103, step S2201, step S2202, step S2203, step S2205, step S2301, step S2303, step S2402, step S2403, step S2405, step S2502, step S2504, but not limited to this), which will not be repeated here.
  • the processing module is used to execute at least one of the other steps (for example, step S2101, step S2102, step S2201, step S2204, step S2501, but not limited to this) executed by the terminal 101 in any of the above methods, which will not be repeated here.
  • FIG7b is a schematic diagram of the structure of a network device proposed in an embodiment of the present disclosure.
  • the network device 7200 may include: at least one of a transceiver module 7201, a processing module 7202, etc.
  • the transceiver module 7201 is used to receive first information, and the first information is used to determine a target model for compressing and transmitting channel state information CSI, and the model includes at least one of a first model and a second model; wherein the first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device end and is used to decompress the compressed CSI; the first model corresponds to the second model.
  • the transceiver module is used to execute at least one of the communication steps such as sending and/or receiving performed by the terminal 101 in any of the above methods (for example, step S2103, step S2201, step S2202, step S2203, step S2205, step S2301, step S2303, step S2402, step S2403, step S2405, step S2502, step S2504, but not limited to this), which will not be repeated here.
  • the processing module is used to execute at least one of the other steps (for example, step S2302, step S2401, step S2404, step S2503 but not limited to this) performed by the network device 102 in any of the above methods, which will not be repeated here.
  • FIG8a is a schematic diagram of the structure of a communication device 8100 proposed in an embodiment of the present disclosure.
  • the communication device 8100 may be a network device (such as an access network device, a core network device, etc.), a terminal (such as a user device, etc.), or a network supporting
  • the chip, chip system, or processor that implements any of the above methods may also be a chip, chip system, or processor that supports a terminal to implement any of the above methods.
  • the communication device 8100 may be used to implement the method described in the above method embodiment, and the details may refer to the description in the above method embodiment.
  • the communication device 8100 includes one or more processors 8101.
  • the processor 8101 can be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit.
  • the baseband processor can be used to process the communication protocol and communication data
  • the central processing unit can be used to control the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute a program, and process program data.
  • the communication device 8100 is used to execute any of the above methods.
  • one or more processors 8101 are used to call instructions so that the communication device 8100 executes any of the above methods.
  • the communication device 8100 further includes one or more transceivers 8102.
  • the transceiver 8102 performs at least one of the communication steps such as sending and/or receiving in the above method (for example, step S2103, step S2201, step S2202, step S2203, step S2205, step S2301, step S2303, step S2402, step S2403, step S2405, step S2502, step S2504, but not limited thereto), and the processor 8101 performs at least one of the other steps (for example, step S2101, step S2102, step S2201, step S2204, step S2501, step S2302, step S2401, step S2404, step S2503, but not limited thereto).
  • the transceiver may include a receiver and/or a transmitter, and the receiver and the transmitter may be separate or integrated.
  • the terms transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, interface, etc. may be replaced with each other, the terms transmitter, transmission unit, transmitter, transmission circuit, etc. may be replaced with each other, and the terms receiver, receiving unit, receiver, receiving circuit, etc. may be replaced with each other.
  • the communication device 8100 further includes one or more memories 8103 for storing data.
  • the memories 8103 may also be outside the communication device 8100.
  • the communication device 8100 may include one or more interface circuits 8104.
  • the interface circuit 8104 is connected to the memory 8102, and the interface circuit 8104 may be used to receive data from the memory 8102 or other devices, and may be used to send data to the memory 8102 or other devices.
  • the interface circuit 8104 may read the data stored in the memory 8102 and send the data to the processor 8101.
  • the communication device 8100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 8100 described in the present disclosure is not limited thereto, and the structure of the communication device 8100 may not be limited by FIG. 8a.
  • the communication device may be an independent device or may be part of a larger device.
  • the communication device may be: 1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data and programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, a vehicle-mounted device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.
  • Fig. 8b is a schematic diagram of the structure of a chip 8200 provided in an embodiment of the present disclosure.
  • the communication device 8100 may be a chip or a chip system
  • the chip 8200 includes one or more processors 8201.
  • the chip 8200 is configured to execute any of the above methods.
  • the chip 8200 further includes one or more interface circuits 8202.
  • the terms interface circuit, interface, transceiver pin, etc. can be interchangeable.
  • the chip 8200 further includes one or more memories 8203 for storing data.
  • all or part of the memory 8203 can be outside the chip 8200.
  • the interface circuit 8202 is connected to the memory 8203, and the interface circuit 8202 can be used to receive data from the memory 8203 or other devices, and the interface circuit 8202 can be used to send data to the memory 8203 or other devices.
  • the interface circuit 8202 can read the data stored in the memory 8203 and send the data to the processor 8201.
  • the interface circuit 8202 performs at least one of the communication steps such as sending and/or receiving in the above method (for example, step S2103, step S2201, step S2202, step S2203, step S2205, step S2301, step S2303, step S2402, step S2403, step S2405, step S2502, step S2504, but not limited thereto).
  • the interface circuit 8202 performs the communication steps such as sending and/or receiving in the above method, for example, means that the interface circuit 8202 performs data interaction between the processor 8201, the chip 8200, the memory 8203 or the transceiver device.
  • processor 8201 executes at least one of the other steps (for example, step S2101, step S2102, step S2201, step S2204, step S2501, step S2302, step S2401, step S2404, step S2503, but not limited to these).
  • the present disclosure also provides a storage medium, on which instructions are stored.
  • the communication device 8100 executes any of the above methods.
  • the storage medium is an electronic storage medium.
  • the storage medium is a computer-readable storage medium, but is not limited thereto, and may also be a storage medium readable by other devices.
  • the storage medium may be a non-transitory storage medium, but is not limited thereto, and may also be a Temporary storage medium.
  • the present disclosure also proposes a program product, which, when executed by the communication device 8100, enables the communication device 8100 to execute any of the above methods.
  • the program product is a computer program product.
  • the present disclosure also proposes a computer program, which, when executed on a computer, causes the computer to execute any one of the above methods.

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Abstract

Provided in the embodiments of the present disclosure are an information transmission method and apparatus, and a communication device, a communication system and a storage medium. The method comprises: a terminal sending first information, which is used for determining a target model which is used for compressing and transmitting channel state information (CSI), wherein the model comprises at least one of a first model and a second model, the first model being located in the terminal and being used for compressing CSI, the second model being located in a network-device end and being used for decompressing the compressed CSI, and the first model corresponding to the second model.

Description

信息传输方法及装置、通信设备、通信系统及存储介质Information transmission method and device, communication equipment, communication system and storage medium 技术领域Technical Field

本公开涉及通信技术领域,尤其涉及信息传输方法及装置、通信设备、通信系统及存储介质。The present disclosure relates to the field of communication technology, and in particular to information transmission methods and devices, communication equipment, communication systems and storage media.

背景技术Background Art

在移动通信系统中,网络设备向终端发送下行参考信号,终端接收网络设备发送的下行参考信号,对该下行参考信号进行测量并向网络设备上报测量得到的信道状态信息(Channel State Information,CSI)。可以通过对CSI进行压缩以减少CSI的反馈开销。In a mobile communication system, a network device sends a downlink reference signal to a terminal. The terminal receives the downlink reference signal sent by the network device, measures the downlink reference signal, and reports the measured channel state information (CSI) to the network device. The CSI feedback overhead can be reduced by compressing the CSI.

发明内容Summary of the invention

随着终端的功能增强,终端的能耗高,导致续航能力弱。As the functionality of terminals increases, the energy consumption of the terminals increases, resulting in weak battery life.

本公开实施例提供一种信息传输方法及装置、通信设备及存储介质。Embodiments of the present disclosure provide an information transmission method and apparatus, a communication device, and a storage medium.

根据本公开实施例的第一方面,本公开实施例提出了一种信息传输方法,由终端执行,其中,所述方法包括:According to a first aspect of an embodiment of the present disclosure, an information transmission method is proposed in an embodiment of the present disclosure, and is executed by a terminal, wherein the method includes:

终端发送第一信息,所述第一信息用于确定对信道状态信息CSI进行压缩传输的目标模型,所述模型包括第一模型和第二模型中至少之一;The terminal sends first information, where the first information is used to determine a target model for compressing and transmitting channel state information CSI, where the model includes at least one of a first model and a second model;

其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于网络设备端,并用于对压缩的CSI进行解压缩;The first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device end and is used to decompress the compressed CSI;

所述第一模型对应于所述第二模型。The first model corresponds to the second model.

根据本公开实施例的第二方面,本公开实施例提出了一种信息传输方法,其中,所述方法包括:According to a second aspect of an embodiment of the present disclosure, an information transmission method is provided in an embodiment of the present disclosure, wherein the method includes:

网络设备接收第一信息,所述第一信息用于确定对信道状态信息CSI进行压缩传输的目标模型,所述模型包括第一模型和第二模型中至少之一;The network device receives first information, where the first information is used to determine a target model for compressing and transmitting channel state information CSI, where the model includes at least one of a first model and a second model;

其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于所述网络设备端并用于对压缩的CSI进行解压缩;The first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device and is used to decompress the compressed CSI;

所述第一模型对应于所述第二模型。The first model corresponds to the second model.

根据本公开实施例的第三方面,本公开实施例提出了一种信息传输方法,由通信系统执行,其中,所述方法包括:According to a third aspect of an embodiment of the present disclosure, an information transmission method is provided in an embodiment of the present disclosure, and is performed by a communication system, wherein the method includes:

终端向网络设备发送第一信息,所述第一信息用于确定对信道状态信息CSI进行压缩传输的目标模型,所述模型包括第一模型和第二模型中至少之一;The terminal sends first information to the network device, where the first information is used to determine a target model for compressing and transmitting the channel state information CSI, where the model includes at least one of a first model and a second model;

其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于所述网络设备端并用于对压缩的CSI进行解压缩;The first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device and is used to decompress the compressed CSI;

所述第一模型对应于所述第二模型。The first model corresponds to the second model.

根据本公开实施例的第四方面,本公开实施例提出了一种终端,其中,所述终端包括:According to a fourth aspect of an embodiment of the present disclosure, an embodiment of the present disclosure provides a terminal, wherein the terminal includes:

收发模块,配置为发送第一信息,所述第一信息用于确定对信道状态信息CSI进行压缩传输的目标模型,所述模型包括第一模型和第二模型中至少之一;A transceiver module, configured to send first information, where the first information is used to determine a target model for compressing and transmitting channel state information CSI, where the model includes at least one of a first model and a second model;

其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于所述网络设备端并用于对压缩的CSI进行解压缩;The first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device and is used to decompress the compressed CSI;

所述第一模型对应于所述第二模型。The first model corresponds to the second model.

根据本公开实施例的第五方面,本公开实施例提出了一种网络设备,其中,所述网络设备包括:According to a fifth aspect of an embodiment of the present disclosure, an embodiment of the present disclosure provides a network device, wherein the network device includes:

收发模块,配置为接收第一信息,所述第一信息用于确定对信道状态信息CSI进行压缩传输的目标模型,所述模型包括第一模型和第二模型中至少之一;A transceiver module, configured to receive first information, where the first information is used to determine a target model for compressing and transmitting channel state information CSI, where the model includes at least one of a first model and a second model;

其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于所述网络设备端并用于对压缩的CSI进行解压缩;The first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device and is used to decompress the compressed CSI;

所述第一模型对应于所述第二模型。The first model corresponds to the second model.

根据本公开实施例的第六方面,本公开实施例提出了一种通信系统,其中,所述通信系统包括:终端和网络设备;其中,According to a sixth aspect of an embodiment of the present disclosure, an embodiment of the present disclosure provides a communication system, wherein the communication system includes: a terminal and a network device; wherein,

所述终端被配置为实现第一方面所述的信息传输方法;The terminal is configured to implement the information transmission method according to the first aspect;

所述网络设备被配置为实现第二方面所述的信息传输方法。The network device is configured to implement the information transmission method described in the second aspect.

根据本公开实施例的第七方面,本公开实施例提出了一种通信设备,其中,所述通信设备包括:According to a seventh aspect of an embodiment of the present disclosure, an embodiment of the present disclosure provides a communication device, wherein the communication device includes:

一个或多个处理器;one or more processors;

其中,所述处理器用于调用指令以使得所述通信设备执行第一方面或第二方面所述的信息传输方法。The processor is used to call instructions so that the communication device executes the information transmission method described in the first aspect or the second aspect.

根据本公开实施例的第八方面,本公开实施例提出了一种存储介质,其中,所述存储介质存储 有指令,当所述指令在通信设备上运行时,使得所述通信设备执行第一方面或第二方面所述的信息传输方法。According to an eighth aspect of the embodiments of the present disclosure, the embodiments of the present disclosure provide a storage medium, wherein the storage medium stores There are instructions, and when the instructions are executed on the communication device, the communication device executes the information transmission method described in the first aspect or the second aspect.

通过第一信息确定目标模型,使得终端和网络设备在确定目标模型取得一致。提高了终端和网络设备两侧得到相互关联的模型的几率。The target model is determined by the first information, so that the terminal and the network device reach a consensus in determining the target model, thereby increasing the probability that the terminal and the network device both obtain mutually related models.

应当理解的是,以上的一般描述和后文的细节描述仅是示例性和解释性的,并不能限制本公开实施例。It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the embodiments of the present disclosure.

附图说明BRIEF DESCRIPTION OF THE DRAWINGS

此处的附图被并入说明书中并构成本说明书的一部分,示出了符合本发明实施例,并与说明书一起用于解释本发明实施例的原理。The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present invention and, together with the description, serve to explain the principles of the embodiments of the present invention.

图1a是根据一示例性实施例示出的一种通信系统的架构示意图;FIG. 1a is a schematic diagram showing an architecture of a communication system according to an exemplary embodiment;

图1b是根据一示例性实施例示出的模型压缩解压缩示意图;Fig. 1b is a schematic diagram of model compression and decompression according to an exemplary embodiment;

图2a是根据一示例性实施例示出的一种信息传输方法的流程示意图;FIG2a is a schematic flow chart of an information transmission method according to an exemplary embodiment;

图2b是根据一示例性实施例示出的一种信息传输方法的流程示意图;FIG2b is a schematic flow chart of an information transmission method according to an exemplary embodiment;

图2c是根据一示例性实施例示出的一种信息传输方法的流程示意图;FIG2c is a schematic flow chart of an information transmission method according to an exemplary embodiment;

图2d是根据一示例性实施例示出的一种信息传输方法的流程示意图;FIG2d is a schematic flow chart of an information transmission method according to an exemplary embodiment;

图2e是根据一示例性实施例示出的一种信息传输方法的流程示意图;FIG2e is a schematic flow chart of an information transmission method according to an exemplary embodiment;

图3a是根据一示例性实施例示出的一种信息传输方法的流程示意图;FIG3a is a schematic flow chart of an information transmission method according to an exemplary embodiment;

图3b是根据一示例性实施例示出的一种信息传输方法的流程示意图;FIG3b is a schematic flow chart of an information transmission method according to an exemplary embodiment;

图3c是根据一示例性实施例示出的一种信息传输方法的流程示意图;FIG3c is a schematic flow chart of an information transmission method according to an exemplary embodiment;

图3d是根据一示例性实施例示出的一种信息传输方法的流程示意图;Fig. 3d is a schematic flow chart of an information transmission method according to an exemplary embodiment;

图3e是根据一示例性实施例示出的一种信息传输方法的流程示意图;FIG3e is a schematic flow chart of an information transmission method according to an exemplary embodiment;

图3f是根据一示例性实施例示出的一种信息传输方法的流程示意图;FIG3f is a schematic flow chart of an information transmission method according to an exemplary embodiment;

图4a是根据一示例性实施例示出的一种信息传输方法的流程示意图;FIG4a is a schematic flow chart of an information transmission method according to an exemplary embodiment;

图4b是根据一示例性实施例示出的一种信息传输方法的流程示意图;FIG4b is a schematic flow chart of an information transmission method according to an exemplary embodiment;

图4c是根据一示例性实施例示出的一种信息传输方法的流程示意图;FIG4c is a schematic flow chart of an information transmission method according to an exemplary embodiment;

图4d是根据一示例性实施例示出的一种信息传输方法的流程示意图;FIG4d is a schematic flow chart of an information transmission method according to an exemplary embodiment;

图4e是根据一示例性实施例示出的一种信息传输方法的流程示意图;FIG4e is a schematic flow chart of an information transmission method according to an exemplary embodiment;

图5是根据一示例性实施例示出的一种信息传输方法的流程示意图;FIG5 is a schematic flow chart of an information transmission method according to an exemplary embodiment;

图6是根据一示例性实施例示出的一种信息传输方法的流程示意图;FIG6 is a schematic flow chart of an information transmission method according to an exemplary embodiment;

图7a是根据一示例性实施例示出的一种网络设备的结构示意图;FIG7a is a schematic diagram showing the structure of a network device according to an exemplary embodiment;

图7b是根据一示例性实施例示出的一种终端结构示意图;FIG7b is a schematic diagram of a terminal structure according to an exemplary embodiment;

图8a是根据一示例性实施例示出的一种UE的结构示意图;FIG8a is a schematic structural diagram of a UE according to an exemplary embodiment;

图8b是根据一示例性实施例示出的一种通信设备的结构示意图。Fig. 8b is a schematic structural diagram of a communication device according to an exemplary embodiment.

具体实施方式DETAILED DESCRIPTION

本公开实施例提供一种信息传输方法及装置、通信设备、通信系统及存储介质。Embodiments of the present disclosure provide an information transmission method and apparatus, a communication device, a communication system, and a storage medium.

第一方面,本公开实施例提出了一种信息传输方法,其中,所述方法包括:In a first aspect, an embodiment of the present disclosure provides an information transmission method, wherein the method includes:

终端发送第一信息,所述第一信息用于确定对信道状态信息CSI进行压缩传输的目标模型,所述模型包括第一模型和第二模型中至少之一;The terminal sends first information, where the first information is used to determine a target model for compressing and transmitting channel state information CSI, where the model includes at least one of a first model and a second model;

其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于网络设备端,并用于对压缩的CSI进行解压缩;The first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device end and is used to decompress the compressed CSI;

所述第一模型对应于所述第二模型。The first model corresponds to the second model.

在上述实施例中,通过第一信息确定目标模型,使得终端和网络设备在确定目标模型取得一致,提高了了系统性能。In the above embodiment, the target model is determined by the first information, so that the terminal and the network device reach a consensus in determining the target model, thereby improving system performance.

结合第一方面的一些实施例,在一些实施例中,所述方法还包括:In combination with some embodiments of the first aspect, in some embodiments, the method further includes:

根据第二信息,从M个模型中确定N个候选模型,其中,所述N个候选模型用于确定所述目标模型,且N为正整数,且1≤N≤M。According to the second information, N candidate models are determined from the M models, wherein the N candidate models are used to determine the target model, and N is a positive integer, and 1≤N≤M.

在上述实施例中,通过第二信息确定候选模型,使得确定的候选模型能够满足终端和/或网络侧设备的需求。In the above embodiment, the candidate model is determined by the second information, so that the determined candidate model can meet the requirements of the terminal and/or the network side device.

结合第一方面的一些实施例,在一些实施例中,所述第二信息包括以下至少一项:In conjunction with some embodiments of the first aspect, in some embodiments, the second information includes at least one of the following:

候选模型参数的指示信息;Indicative information of candidate model parameters;

用于确定候选模型的辅助信息,所述辅助信息用于指示所述第二模型的输出信息; Auxiliary information for determining a candidate model, wherein the auxiliary information is used to indicate output information of the second model;

所述终端当前状态的指示信息。Indicative information of the current status of the terminal.

在上述实施例中,通过第二信息确定候选模型,使得确定的候选模型能够满足终端和/或网络侧设备的需求。In the above embodiment, the candidate model is determined by the second information, so that the determined candidate model can meet the requirements of the terminal and/or the network side device.

结合第一方面的一些实施例,在一些实施例中,所述方法还包括:In combination with some embodiments of the first aspect, in some embodiments, the method further includes:

从所述N个候选模型中确定所述目标模型;其中,所述第一信息用于指示所述终端确定的所述目标模型。Determine the target model from the N candidate models; wherein the first information is used to indicate the target model determined by the terminal.

在上述实施例中,由终端确定目标模型,并通过第一信息向网络设备指示目标模型,使得终端和网络设备在确定目标模型取得一致,提高了系统性能。In the above embodiment, the terminal determines the target model and indicates the target model to the network device through the first information, so that the terminal and the network device reach a consensus in determining the target model, thereby improving system performance.

结合第一方面的一些实施例,在一些实施例中,所述方法还包括:In combination with some embodiments of the first aspect, in some embodiments, the method further includes:

发送指示所述终端当前状态的第三信息,所述第三信息用于所述网络设备确定是否允许所述终端从所述N个候选模型中确定目标模型;Sending third information indicating a current state of the terminal, wherein the third information is used by the network device to determine whether to allow the terminal to determine a target model from the N candidate models;

接收所述网络设备发送的第四信息,所述第四信息用于指示是否允许所述终端从所述N个候选模型中确定目标模型。Receive fourth information sent by the network device, where the fourth information is used to indicate whether the terminal is allowed to determine a target model from the N candidate models.

在上述实施例中,通过第三信息和第四信息,网络设备确定是否由终端确定目标模型,终端和网络设备可以针对是否由终端确定目标模型取得一致;减少不确定由终端确定目标模型,带来的两侧确定模型不一致的情况。In the above embodiment, through the third information and the fourth information, the network device determines whether the target model is determined by the terminal, and the terminal and the network device can reach a consensus on whether the target model is determined by the terminal; reducing the situation where the models determined by both sides are inconsistent due to uncertainty about whether the target model is determined by the terminal.

结合第一方面的一些实施例,在一些实施例中,所述第一信息用于指示所述N个候选模型,其中,所述目标模型是从所述N个候选模型中确定的。In combination with some embodiments of the first aspect, in some embodiments, the first information is used to indicate the N candidate models, wherein the target model is determined from the N candidate models.

在上述实施例中,通过第一信息可以使得终端和网络设备在候选模型的选择上取得一致。In the above embodiment, the first information can enable the terminal and the network device to reach a consensus on the selection of the candidate model.

结合第一方面的一些实施例,在一些实施例中,所述第一信息用于所述网络设备从所述N个候选模型确定所述目标模型。In combination with some embodiments of the first aspect, in some embodiments, the first information is used by the network device to determine the target model from the N candidate models.

在上述实施例中,网络设备基于第一信息从所述N个候选模型确定所述目标模型,使得终端和网络设备在确定目标模型取得一致。提高了终端和网络设备两侧得到相互关联的模型的几率。In the above embodiment, the network device determines the target model from the N candidate models based on the first information, so that the terminal and the network device reach a consensus in determining the target model, thereby increasing the probability of the terminal and the network device obtaining mutually related models.

结合第一方面的一些实施例,在一些实施例中,所述方法还包括:In combination with some embodiments of the first aspect, in some embodiments, the method further includes:

接收第五信息,其中,所述第五信息用于指示以下一项:Receive fifth information, where the fifth information is used to indicate one of the following:

所述网络设备从所述N个候选模型确定的所述目标模型;The target model determined by the network device from the N candidate models;

所述终端发送CSI的方式,其中,所述第五信息是所述网络设备未确定所述目标模型发送的。The terminal sends CSI in a manner, wherein the fifth information is sent by the network device without determining the target model.

在上述实施例中,由网络设备确定目标模型,并通过第五信息向网络设备指示目标模型,使得终端和网络设备在确定目标模型取得一致。提高了终端和网络设备两侧得到相互关联的模型的几率。在未确定目标模型是指示终端发送CSI的方式,提高了CSI发送的兼容性。In the above embodiment, the target model is determined by the network device, and the target model is indicated to the network device through the fifth information, so that the terminal and the network device reach a consensus in determining the target model. This improves the probability that the terminal and the network device both obtain mutually related models. When the target model is not determined, the terminal is instructed to send CSI, which improves the compatibility of CSI sending.

结合第一方面的一些实施例,在一些实施例中,所述第一信息用于所述网络设备从M个模型中确定所述目标模型;或者In combination with some embodiments of the first aspect, in some embodiments, the first information is used by the network device to determine the target model from M models; or

所述第一信息为第一值时,指示由所述网络设备确定所述目标模型。When the first information is a first value, it indicates that the target model is determined by the network device.

结合第一方面的一些实施例,在一些实施例中,所述第一信息为第二值时,指示不允许所述网络设备确定所述目标模型。In combination with some embodiments of the first aspect, in some embodiments, when the first information is a second value, it indicates that the network device is not allowed to determine the target model.

在上述实施例中,网络设备基于第一信息从M个模型确定所述目标模型,使得终端和网络设备在确定目标模型取得一致。提高了终端和网络设备两侧得到相互关联的模型的几率。In the above embodiment, the network device determines the target model from the M models based on the first information, so that the terminal and the network device reach a consensus in determining the target model, thereby increasing the probability that the terminal and the network device both obtain mutually related models.

通过第一信息,终端指示是否由网络设备确定目标模型,终端和网络设备可以针对是否由终端确定目标模型取得一致。减少不确定是否网络设备确定目标模型,带来的两侧确定模型不一致的情况。Through the first information, the terminal indicates whether the target model is determined by the network device, and the terminal and the network device can reach a consensus on whether the target model is determined by the terminal, thereby reducing the situation where the models determined by both sides are inconsistent due to uncertainty about whether the network device determines the target model.

结合第一方面的一些实施例,在一些实施例中,所述方法还包括:In combination with some embodiments of the first aspect, in some embodiments, the method further includes:

接收所述网络设备发送的第六信息,其中,receiving sixth information sent by the network device, wherein:

所述第一信息用于所述网络设备从M个模型中确定所述目标模型,所述第六信息用于指示所述目标模型;或者The first information is used by the network device to determine the target model from M models, and the sixth information is used to indicate the target model; or

所述第一信息为所述第一值时,所述第六信息用于指示所述网络设备从所述M个模型中确定的N个候选模型。When the first information is the first value, the sixth information is used to indicate the N candidate models determined by the network device from the M models.

在上述实施例中,通过第六信息使得终端和网络设备在目标模型取得一致。提高了终端和网络设备两侧得到相互关联的模型的几率。In the above embodiment, the terminal and the network device are made consistent in the target model through the sixth information, thereby increasing the probability that the terminal and the network device obtain mutually related models.

在上述实施例中,通过第六信息使得终端和网络设备在候选模型取得一致。提高了终端和网络设备两侧得到相互关联的模型的几率。 In the above embodiment, the terminal and the network device are made to agree on the candidate model through the sixth information, thereby increasing the probability that the terminal and the network device obtain mutually related models.

结合第一方面的一些实施例,在一些实施例中,所述方法还包括:In combination with some embodiments of the first aspect, in some embodiments, the method further includes:

所述第一信息为所述第一值时,接收所述网络设备发送的第七信息,其中,所述第七信息用于指示以下一项:When the first information is the first value, seventh information sent by the network device is received, wherein the seventh information is used to indicate one of the following:

所述网络设备从所述N个候选模型确定的目标模型;The network device determines a target model from the N candidate models;

所述终端进行回退操作,其中,所述第七信息是所述网络设备确定不具有所述候选模型、或者所述网络设备不被允许从所述N个候选模型确定目标模型时发送的。The terminal performs a fallback operation, wherein the seventh information is sent when the network device determines that it does not have the candidate model, or the network device is not allowed to determine the target model from the N candidate models.

在上述实施例中,通过第七信息使得终端和网络设备在目标模型取得一致。提高了终端和网络设备两侧得到相互关联的模型的几率。In the above embodiment, the seventh information enables the terminal and the network device to reach consistency in the target model, thereby increasing the probability that the terminal and the network device both obtain mutually related models.

第七信息在未确定目标模型时指示终端回退,减少终端无法获取目标模型带来的性能损失。The seventh information instructs the terminal to fall back when the target model is not determined, thereby reducing the performance loss caused by the terminal being unable to obtain the target model.

结合第一方面的一些实施例,在一些实施例中,所述第一信息指示所述网络设备从M个模型中确定所述目标模型采用的模型参数,其中,所述模型参数包括以下至少一项:In combination with some embodiments of the first aspect, in some embodiments, the first information indicates that the network device determines a model parameter adopted by the target model from M models, wherein the model parameter includes at least one of the following:

所述终端确定的信道特征向量;A channel feature vector determined by the terminal;

所述M个模型对所述特征向量进行压缩后得到的压缩的CSI;A compressed CSI obtained by compressing the feature vector by the M models;

所述M个模型分别对应的模型标识。The M models respectively correspond to model identifiers.

在上述实施例中,基于第一信息确定目标模型,使得确定的目标模型满足终端和/或网络设备的需求。In the above embodiment, the target model is determined based on the first information, so that the determined target model meets the requirements of the terminal and/or the network device.

第二方面,本公开实施例提出了一种信息传输方法,其中,所述方法包括:In a second aspect, an embodiment of the present disclosure provides an information transmission method, wherein the method includes:

网络设备接收第一信息,所述第一信息用于确定对信道状态信息CSI进行压缩传输的目标模型,所述模型包括第一模型和第二模型中至少之一;The network device receives first information, where the first information is used to determine a target model for compressing and transmitting channel state information CSI, where the model includes at least one of a first model and a second model;

其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于所述网络设备端并用于对压缩的CSI进行解压缩;The first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device and is used to decompress the compressed CSI;

所述第一模型对应于所述第二模型。The first model corresponds to the second model.

在上述实施例中,通过第一信息确定目标模型,使得终端和网络设备在确定目标模型取得一致。提高了终端和网络设备两侧得到相互关联的模型的几率。In the above embodiment, the target model is determined by the first information, so that the terminal and the network device reach a consensus in determining the target model, thereby increasing the probability that the terminal and the network device both obtain mutually related models.

结合第二方面的一些实施例,在一些实施例中,所述方法还包括:In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

发送第二信息,其中,所述第二信息用于所述终端从M个模型中确定N个候选模型,其中,所述N个候选模型用于确定所述目标模型,且N为正整数,且1≤N≤M。Sending second information, wherein the second information is used by the terminal to determine N candidate models from M models, wherein the N candidate models are used to determine the target model, and N is a positive integer, and 1≤N≤M.

结合第二方面的一些实施例,在一些实施例中,所述第二信息包括以下至少一项:In conjunction with some embodiments of the second aspect, in some embodiments, the second information includes at least one of the following:

候选模型参数的指示信息;Indicative information of candidate model parameters;

用于确定候选模型的辅助信息,所述辅助信息用于指示所述第二模型的输出信息。Auxiliary information used to determine the candidate model, where the auxiliary information is used to indicate output information of the second model.

结合第二方面的一些实施例,在一些实施例中,所述N个候选模型用于所述终端确定所述目标模型;其中,所述第一信息用于指示所述终端确定的所述目标模型。In combination with some embodiments of the second aspect, in some embodiments, the N candidate models are used by the terminal to determine the target model; wherein the first information is used to indicate the target model determined by the terminal.

结合第二方面的一些实施例,在一些实施例中,所述方法还包括:In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

接收指示所述终端当前状态的第三信息,所述第三信息用于所述网络设备确定是否允许所述终端从所述N个候选模型中确定目标模型;receiving third information indicating a current state of the terminal, wherein the third information is used by the network device to determine whether to allow the terminal to determine a target model from the N candidate models;

发送第四信息,所述第四信息用于指示是否允许所述终端从所述N个候选模型中确定目标模型。Send fourth information, where the fourth information is used to indicate whether the terminal is allowed to determine the target model from the N candidate models.

结合第二方面的一些实施例,在一些实施例中,所述第一信息用于指示所述N个候选模型,其中,所述目标模型是从所述N个候选模型中确定的。In combination with some embodiments of the second aspect, in some embodiments, the first information is used to indicate the N candidate models, wherein the target model is determined from the N candidate models.

结合第二方面的一些实施例,在一些实施例中,所述方法还包括:In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

从所述N个候选模型确定所述目标模型。The target model is determined from the N candidate models.

结合第二方面的一些实施例,在一些实施例中,所述方法还包括:In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

发送第五信息,其中,所述第五信息用于指示以下一项:Sending fifth information, wherein the fifth information is used to indicate one of the following:

所述网络设备从所述N个候选模型确定的所述目标模型;The target model determined by the network device from the N candidate models;

所述终端发送CSI的方式,其中,所述第五信息是所述网络设备未确定所述目标模型发送的。The terminal sends CSI in a manner, wherein the fifth information is sent by the network device without determining the target model.

结合第二方面的一些实施例,在一些实施例中,所述第一信息用于所述网络设备从M个模型中确定所述目标模型;或者In combination with some embodiments of the second aspect, in some embodiments, the first information is used by the network device to determine the target model from M models; or

所述第一信息为第一值时,指示由所述网络设备确定所述目标模型。When the first information is a first value, it indicates that the target model is determined by the network device.

结合第二方面的一些实施例,在一些实施例中,所述第一信息为第二值时,指示不允许所述网络设备确定所述目标模型。In combination with some embodiments of the second aspect, in some embodiments, when the first information is a second value, it indicates that the network device is not allowed to determine the target model.

结合第二方面的一些实施例,在一些实施例中,所述方法还包括:In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

发送第六信息,其中, Sending a sixth message, wherein

所述第一信息用于所述网络设备从M个模型中确定所述目标模型,所述第六信息用于指示所述目标模型;或者The first information is used by the network device to determine the target model from M models, and the sixth information is used to indicate the target model; or

所述第一信息为所述第一值时,所述第六信息用于指示所述网络设备从所述M个模型中确定的N个候选模型。When the first information is the first value, the sixth information is used to indicate the N candidate models determined by the network device from the M models.

结合第二方面的一些实施例,在一些实施例中,所述方法还包括:In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

所述第一信息为所述第一值时,发送第七信息,其中,所述第七信息用于指示以下一项:When the first information is the first value, seventh information is sent, where the seventh information is used to indicate one of the following:

所述网络设备从所述N个候选模型确定的所述目标模型;The target model determined by the network device from the N candidate models;

所述终端进行回退操作,其中,所述第七信息是所述网络设备确定不具有所述候选模型、或者所述网络设备不被允许从所述N个候选模型确定目标模型时发送的。The terminal performs a fallback operation, wherein the seventh information is sent when the network device determines that it does not have the candidate model or the network device is not allowed to determine the target model from the N candidate models.

结合第二方面的一些实施例,在一些实施例中,所述第一信息指示所述网络设备从M个模型中确定所述目标模型采用的模型参数,其中,所述模型参数包括以下至少一项:In combination with some embodiments of the second aspect, in some embodiments, the first information indicates that the network device determines a model parameter adopted by the target model from the M models, wherein the model parameter includes at least one of the following:

所述终端确定的信道特征向量;A channel feature vector determined by the terminal;

所述M个模型对所述特征向量进行压缩后得到的压缩的CSI;A compressed CSI obtained by compressing the feature vector by the M models;

所述M个模型分别对应的模型标识。The M models respectively correspond to model identifiers.

第三方面,本公开实施例提出了一种信息传输方法,由通信系统执行,其中,所述方法包括:In a third aspect, an embodiment of the present disclosure provides an information transmission method, which is performed by a communication system, wherein the method includes:

终端向网络设备发送第一信息,所述第一信息用于确定对信道状态信息CSI进行压缩传输的目标模型,所述模型包括第一模型和第二模型中至少之一;The terminal sends first information to the network device, where the first information is used to determine a target model for compressing and transmitting the channel state information CSI, where the model includes at least one of a first model and a second model;

其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于所述网络设备端并用于对压缩的CSI进行解压缩;The first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device and is used to decompress the compressed CSI;

所述第一模型对应于所述第二模型。The first model corresponds to the second model.

第四方面,本公开实施例提出了一种终端,其中,所述终端包括:In a fourth aspect, an embodiment of the present disclosure provides a terminal, wherein the terminal includes:

收发模块,配置为发送第一信息,所述第一信息用于确定对信道状态信息CSI进行压缩传输的目标模型,所述模型包括第一模型和第二模型中至少之一;A transceiver module, configured to send first information, where the first information is used to determine a target model for compressing and transmitting channel state information CSI, where the model includes at least one of a first model and a second model;

其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于所述网络设备端并用于对压缩的CSI进行解压缩;The first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device and is used to decompress the compressed CSI;

所述第一模型对应于所述第二模型。The first model corresponds to the second model.

第五方面,本公开实施例提出了一种网络设备,其中,所述网络设备包括:In a fifth aspect, an embodiment of the present disclosure provides a network device, wherein the network device includes:

收发模块,配置为接收第一信息,所述第一信息用于确定对信道状态信息CSI进行压缩传输的目标模型,所述模型包括第一模型和第二模型中至少之一;A transceiver module, configured to receive first information, where the first information is used to determine a target model for compressing and transmitting channel state information CSI, where the model includes at least one of a first model and a second model;

其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于所述网络设备端并用于对压缩的CSI进行解压缩;The first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device and is used to decompress the compressed CSI;

所述第一模型对应于所述第二模型。The first model corresponds to the second model.

第六方面,本公开实施例提出了一种通信系统,其中,所述通信系统包括:终端和网络设备;其中,In a sixth aspect, an embodiment of the present disclosure provides a communication system, wherein the communication system includes: a terminal and a network device; wherein:

所述终端被配置为实现第一方面所述的信息传输方法;The terminal is configured to implement the information transmission method according to the first aspect;

所述网络设备被配置为实现第二方面所述的信息传输方法。The network device is configured to implement the information transmission method described in the second aspect.

第七方面,本公开实施例提出了一种通信设备,其中,所述通信设备包括:In a seventh aspect, an embodiment of the present disclosure provides a communication device, wherein the communication device includes:

一个或多个处理器;one or more processors;

其中,所述处理器用于调用指令以使得所述通信设备执行第一方面或第二方面所述的信息传输方法。The processor is used to call instructions so that the communication device executes the information transmission method described in the first aspect or the second aspect.

第八方面,本公开实施例提出了一种存储介质,其中,所述存储介质存储有指令,当所述指令在通信设备上运行时,使得所述通信设备执行第一方面或第二方面所述的信息传输方法。In an eighth aspect, an embodiment of the present disclosure proposes a storage medium, wherein the storage medium stores instructions, and when the instructions are executed on a communication device, the communication device executes the information transmission method described in the first aspect or the second aspect.

可以理解地,上述终端、网络设备、通信系统、存储介质、程序产品、计算机程序、芯片或芯片系统均用于执行本公开实施例所提出的方法。因此,其所能达到的有益效果可以参考对应方法中的有益效果,此处不再赘述。It is understandable that the above-mentioned terminals, network devices, communication systems, storage media, program products, computer programs, chips or chip systems are all used to execute the methods proposed in the embodiments of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding methods, which will not be repeated here.

本公开实施例提出了一种信息传输方法及装置、通信设备、通信系统及存储介质。在一些实施例中,信息传输方法与信息处理方法、信息传输方法等术语可以相互替换,信息传输装置与信息处理装置、信息传输装置等术语可以相互替换,通信系统、信息处理系统等术语可以相互替换。The embodiments of the present disclosure provide an information transmission method and device, a communication device, a communication system, and a storage medium. In some embodiments, the terms information transmission method, information processing method, information transmission method, etc. can be replaced with each other, the terms information transmission device, information processing device, information transmission device, etc. can be replaced with each other, and the terms communication system, information processing system, etc. can be replaced with each other.

本公开实施例并非穷举,仅为部分实施例的示意,不作为对本公开保护范围的具体限制。在不矛盾的情况下,某一实施例中的每个步骤均可以作为独立实施例来实施,且各步骤之间可以任意组合,例如,在某一实施例中去除部分步骤后的方案也可以作为独立实施例来实施,且在某一实施例 中各步骤的顺序可以任意交换,另外,某一实施例中的可选实现方式可以任意组合;此外,各实施例之间可以任意组合,例如,不同实施例的部分或全部步骤可以任意组合,某一实施例可以与其他实施例的可选实现方式任意组合。The embodiments of the present disclosure are not exhaustive, but are merely illustrative of some embodiments, and are not intended to be a specific limitation on the scope of protection of the present disclosure. In the absence of contradiction, each step in an embodiment can be implemented as an independent embodiment, and the steps can be combined arbitrarily. For example, a solution after removing some steps in an embodiment can also be implemented as an independent embodiment, and in an embodiment, The order of the steps in the embodiment can be arbitrarily exchanged. In addition, the optional implementation methods in a certain embodiment can be arbitrarily combined. In addition, the embodiments can be arbitrarily combined. For example, part or all of the steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

在各本公开实施例中,如果没有特殊说明以及逻辑冲突,各实施例之间的术语和/或描述具有一致性,且可以互相引用,不同实施例中的技术特征根据其内在的逻辑关系可以组合形成新的实施例。In each embodiment of the present disclosure, unless otherwise specified or there is a logical conflict, the terms and/or descriptions between the embodiments are consistent and can be referenced to each other, and the technical features in different embodiments can be combined to form a new embodiment based on their internal logical relationships.

本公开实施例中所使用的术语只是为了描述特定实施例的目的,而并非作为对本公开的限制。The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure.

在本公开实施例中,除非另有说明,以单数形式表示的元素,如“一个”、“一种”、“该”、“上述”、“所述”、“前述”、“这一”等,可以表示“一个且只有一个”,也可以表示“一个或多个”、“至少一个”等。例如,在翻译中使用如英语中的“a”、“an”、“the”等冠词(article)的情况下,冠词之后的名词可以理解为单数表达形式,也可以理解为复数表达形式。In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular form, such as "a", "an", "the", "above", "said", "aforementioned", "this", etc., may mean "one and only one", or "one or more", "at least one", etc. For example, when using articles such as "a", "an", "the" in English in translation, the noun after the article may be understood as a singular expression or a plural expression.

在本公开实施例中,“多个”是指两个或两个以上。In the embodiments of the present disclosure, “plurality” refers to two or more.

在一些实施例中,“至少一者(至少之一、至少一项、至少一个)(at least one of)”、“一个或多个(one or more)”、“多个(a plurality of)”、“多个(multiple)等术语可以相互替换。In some embodiments, terms such as "at least one of", "one or more", "a plurality of", "multiple" and the like can be used interchangeably.

在一些实施例中,“A、B中的至少一者”、“A和/或B”、“在一情况下A,在另一情况下B”、“一情况A,另一情况B”等记载方式,根据情况可以包括以下技术方案:在一些实施例中A(与B无关地执行A);在一些实施例中B(与A无关地执行B);在一些实施例中从A和B中选择执行(A和B被选择性执行);在一些实施例中A和B(A和B都被执行)。当有A、B、C等更多分支时也类似上述。In some embodiments, "at least one of A and B", "A and/or B", "A in one case, B in another case", "A in one case, B in another case", etc., may include the following technical solutions according to the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); in some embodiments, A and B (both A and B are executed). When there are more branches such as A, B, C, etc., the above is also similar.

在一些实施例中,“A或B”等记载方式,根据情况可以包括以下技术方案:在一些实施例中A(与B无关地执行A);在一些实施例中B(与A无关地执行B);在一些实施例中从A和B中选择执行(A和B被选择性执行)。当有A、B、C等更多分支时也类似上述。In some embodiments, the recording method of "A or B" may include the following technical solutions according to the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). When there are more branches such as A, B, C, etc., the above is also similar.

本公开实施例中的“第一”、“第二”等前缀词,仅仅为了区分不同的描述对象,不对描述对象的位置、顺序、优先级、数量或内容等构成限制,对描述对象的陈述参见权利要求或实施例中上下文的描述,不应因为使用前缀词而构成多余的限制。例如,描述对象为“字段”,则“第一字段”和“第二字段”中“字段”之前的序数词并不限制“字段”之间的位置或顺序,“第一”和“第二”并不限制其修饰的“字段”是否在同一个消息中,也不限制“第一字段”和“第二字段”的先后顺序。再如,描述对象为“等级”,则“第一等级”和“第二等级”中“等级”之前的序数词并不限制“等级”之间的优先级。再如,描述对象的数量并不受序数词的限制,可以是一个或者多个,以“第一装置”为例,其中“装置”的数量可以是一个或者多个。此外,不同前缀词修饰的对象可以相同或不同,例如,描述对象为“装置”,则“第一装置”和“第二装置”可以是相同的装置或者不同的装置,其类型可以相同或不同;再如,描述对象为“信息”,则“第一信息”和“第二信息”可以是相同的信息或者不同的信息,其内容可以相同或不同。The prefixes such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different description objects, and do not constitute restrictions on the position, order, priority, quantity or content of the description objects. The statement of the description object refers to the description in the context of the claims or embodiments, and should not constitute unnecessary restrictions due to the use of prefixes. For example, if the description object is a "field", the ordinal number before the "field" in the "first field" and the "second field" does not limit the position or order between the "fields", and the "first" and "second" do not limit whether the "fields" they modify are in the same message, nor do they limit the order of the "first field" and the "second field". For another example, if the description object is a "level", the ordinal number before the "level" in the "first level" and the "second level" does not limit the priority between the "levels". For another example, the number of description objects is not limited by the ordinal number, and can be one or more. Taking the "first device" as an example, the number of "devices" can be one or more. In addition, the objects modified by different prefixes may be the same or different. For example, if the description object is "device", then the "first device" and the "second device" may be the same device or different devices, and their types may be the same or different. For another example, if the description object is "information", then the "first information" and the "second information" may be the same information or different information, and their contents may be the same or different.

在一些实施例中,“包括A”、“包含A”、“用于指示A”、“携带A”,可以解释为直接携带A,也可以解释为间接指示A。In some embodiments, “including A”, “comprising A”, “used to indicate A”, and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

在一些实施例中,“时频(time/frequency)”、“时频域”等术语是指时域和/或频域。In some embodiments, terms such as "time/frequency", "time/frequency domain", etc. refer to the time domain and/or the frequency domain.

在一些实施例中,“响应于……”、“响应于确定……”、“在……的情况下”、“在……时”、“当……时”、“若……”、“如果……”等术语可以相互替换。In some embodiments, terms such as "in response to ...", "in response to determining ...", "in the case of ...", "at the time of ...", "when ...", "if ...", "if ...", etc. can be used interchangeably.

在一些实施例中,“大于”、“大于或等于”、“不小于”、“多于”、“多于或等于”、“不少于”、“高于”、“高于或等于”、“不低于”、“以上”等术语可以相互替换,“小于”、“小于或等于”、“不大于”、“少于”、“少于或等于”、“不多于”、“低于”、“低于或等于”、“不高于”、“以下”等术语可以相互替换。In some embodiments, terms such as "greater than", "greater than or equal to", "not less than", "more than", "more than or equal to", "not less than", "higher than", "higher than or equal to", "not lower than", and "above" can be replaced with each other, and terms such as "less than", "less than or equal to", "not greater than", "less than", "less than or equal to", "no more than", "lower than", "lower than or equal to", "not higher than", and "below" can be replaced with each other.

在一些实施例中,装置等可以解释为实体的、也可以解释为虚拟的,其名称不限定于实施例中所记载的名称,“装置”、“设备(equipment)”、“设备(device)”、“电路”、“网元”、“节点”、“功能”、“单元”、“部件(section)”、“系统”、“网络”、“芯片”、“芯片系统”、“实体”、“主体”等术语可以相互替换。In some embodiments, devices, etc. can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. Terms such as "device", "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", and "subject" can be used interchangeably.

在一些实施例中,“网络”可以解释为网络中包含的装置(例如,接入网设备、核心网设备等)。In some embodiments, "network" may be interpreted as devices included in the network (eg, access network equipment, core network equipment, etc.).

在一些实施例中,“接入网设备(access network device,AN device)”、“无线接入网设备(radio access network device,RAN device)”、“基站(base station,BS)”、“无线基站(radio base station)”、“固定台(fixed station)”、“节点(node)”、“接入点(access point)”、“发送点(transmission point,TP)”、“接收点(reception point,RP)”、“发送接收点(transmission/reception point,TRP)”、“面板(panel)”、“天线面板(antenna panel)”、“天线阵列(antenna array)”、“小区(cell)”、“宏小区(macro cell)”、“小型小区(small cell)”、“毫微微小区(femto cell)”、“微微小区(pico cell)”、“扇区(sector)”、“小区组(cell group)”、“服务小区”、“载波(carrier)”、“分量载波(component  carrier)”、“带宽部分(bandwidth part,BWP)”等术语可以相互替换。In some embodiments, the terms “access network device (AN device)”, “radio access network device (RAN device)”, “base station (BS)”, “radio base station (radio base station)”, “fixed station (fixed station)”, “node (node)”, “access point (access point)”, “transmission point (TP)”, “reception point (RP)”, “transmission/reception point (TRP)”, “panel (panel)”, “antenna panel (antenna panel)”, “antenna array (antenna array)”, “cell (cell)”, “macro cell (macro cell)”, “small cell (small cell)”, “femto cell (femto cell)”, “pico cell (pico cell)”, “sector (sector)”, “cell group (cell group)”, “serving cell (cell)”, “carrier (carrier)”, “component carrier (component carrier ...component carrier (component carrier)”, “component carrier (component carrier)”, “component carrier (component carrier)”, “component carrier (component carrier)”, “component carrier (component carrier)”, “component carrier (component carrier)”, “component carrier (component carrier)”, “component carrier (component carrier)”, “component carrier (component The terms “bandwidth part”, “bandwidth carrier”, “bandwidth part (BWP)”, etc. are interchangeable.

在一些实施例中,“终端(terminal)”、“终端设备(terminal device)”、“用户设备(user equipment,UE)”、“用户终端(user terminal)”、“移动台(mobile station,MS)”、“移动终端(mobile terminal,MT)”、订户站(subscriber station)、移动单元(mobile unit)、订户单元(subscriber unit)、无线单元(wireless unit)、远程单元(remote unit)、移动设备(mobile device)、无线设备(wireless device)、无线通信设备(wireless communication device)、远程设备(remote device)、移动订户站(mobile subscriber station)、接入终端(access terminal)、移动终端(mobile terminal)、无线终端(wireless terminal)、远程终端(remote terminal)、手持设备(handset)、用户代理(user agent)、移动客户端(mobile client)、客户端(client)等术语可以相互替换。In some embodiments, the terms "terminal", "terminal device", "user equipment (UE)", "user terminal" "mobile station (MS)", "mobile terminal (MT)", subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client and the like can be used interchangeably.

在一些实施例中,接入网设备、核心网设备、或网络设备可以被替换为终端。例如,针对将接入网设备、核心网设备、或网络设备以及终端间的通信置换为多个终端间的通信(例如,设备对设备(device-to-device,D2D)、车联网(vehicle-to-everything,V2X)等)的结构,也可以应用本公开的各实施例。在该情况下,也可以设为终端具有接入网设备所具有的全部或部分功能的结构。此外,“上行”、“下行”等术语也可以被替换为与终端间通信对应的术语(例如,“侧行(side)”)。例如,上行信道、下行信道等可以被替换为侧行信道,上行链路、下行链路等可以被替换为侧行链路。In some embodiments, the access network device, the core network device, or the network device can be replaced by a terminal. For example, the various embodiments of the present disclosure can also be applied to a structure in which the access network device, the core network device, or the network device and the communication between the terminals is replaced by the communication between multiple terminals (for example, device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, it can also be set as a structure in which the terminal has all or part of the functions of the access network device. In addition, terms such as "uplink" and "downlink" can also be replaced by terms corresponding to communication between terminals (for example, "side"). For example, uplink channels, downlink channels, etc. can be replaced by side channels, and uplinks, downlinks, etc. can be replaced by side links.

在一些实施例中,终端可以被替换为接入网设备、核心网设备、或网络设备。在该情况下,也可以设为接入网设备、核心网设备、或网络设备具有终端所具有的全部或部分功能的结构。In some embodiments, the terminal may be replaced by an access network device, a core network device, or a network device. In this case, the access network device, the core network device, or the network device may also be configured to have a structure that has all or part of the functions of the terminal.

在一些实施例中,获取数据、信息等可以遵照所在地国家的法律法规。In some embodiments, acquisition of data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

在一些实施例中,可以在得到用户同意后获取数据、信息等。In some embodiments, data, information, etc. may be obtained with the user's consent.

此外,本公开实施例的表格中的每一元素、每一行、或每一列均可以作为独立实施例来实施,任意元素、任意行、任意列的组合也可以作为独立实施例来实施。In addition, each element, each row, or each column in the table of the embodiments of the present disclosure may be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns may also be implemented as an independent embodiment.

图1a是根据本公开实施例示出的通信系统的架构示意图。FIG. 1 a is a schematic diagram showing the architecture of a communication system according to an embodiment of the present disclosure.

如图1a所示,通信系统100包括终端101、网络设备102。As shown in FIG. 1 a , a communication system 100 includes a terminal 101 and a network device 102 .

在一些实施例中,网络设备102可以包括以下至少一项:核心网设备;接入网设备。In some embodiments, the network device 102 may include at least one of the following: a core network device; an access network device.

在一些实施例中,核心网设备可以是一个设备,包括接入和移动性管理功能(Access and Mobility Management Function,AMF)、用户面功能(User Plane Function,UPF)、策略控制功能(Policy Control function,PCF)、会话管理功能(Session Management Function,SMF)等,也可以是多个设备或设备群,分别包括AMF、SMF、UPF、PCF等中的全部或部分。网元可以是虚拟的,也可以是实体的。核心网例如包括演进分组核心(Evolved Packet Core,EPC)、5G核心网络(5G Core Network,5GCN)、下一代核心(Next Generation Core,NGC)中的至少一者。In some embodiments, the core network device may be a device including an access and mobility management function (AMF), a user plane function (UPF), a policy control function (PCF), a session management function (SMF), etc., or may be a plurality of devices or a group of devices, including all or part of AMF, SMF, UPF, PCF, etc. The network element may be virtual or physical. The core network may include, for example, at least one of an evolved packet core (EPC), a 5G core network (5GCN), and a next generation core (NGC).

在一些实施例中,接入网设备例如可以是将终端接入到无线网络的节点或设备,接入网设备可以包括5G通信系统中的演进节点B(evolved NodeB,eNB)、下一代演进节点B(next generation eNB,ng-eNB)、下一代节点B(next generation NodeB,gNB)、节点B(node B,NB)、家庭节点B(home node B,HNB)、家庭演进节点B(home evolved nodeB,HeNB)、无线回传设备、无线网络控制器(radio network controller,RNC)、基站控制器(base station controller,BSC)、基站收发台(base transceiver station,BTS)、基带单元(base band unit,BBU)、移动交换中心、6G通信系统中的基站、开放型基站(Open RAN)、云基站(Cloud RAN)、其他通信系统中的基站、Wi-Fi系统中的接入节点中的至少一者,但不限于此。In some embodiments, the access network device may be, for example, a node or device that accesses a terminal to a wireless network. The access network device may include an evolved Node B (eNB), a next generation evolved Node B (ng-eNB), a next generation Node B (gNB), a node B (NB), a home node B (HNB), a home evolved node B (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a Wi-Fi system, but is not limited thereto.

在一些实施例中,本公开的技术方案可适用于Open RAN架构,此时,本公开实施例所涉及的接入网设备间或者接入网设备内的接口可变为Open RAN的内部接口,这些内部接口之间的流程和信息交互可以通过软件或者程序实现。In some embodiments, the technical solution of the present disclosure may be applicable to the Open RAN architecture. In this case, the interfaces between access network devices or within access network devices involved in the embodiments of the present disclosure may become internal interfaces of Open RAN, and the processes and information interactions between these internal interfaces may be implemented through software or programs.

在一些实施例中,接入网设备可以由集中单元(central unit,CU)与分布式单元(distributed unit,DU)组成的,其中,CU也可以称为控制单元(control unit),采用CU-DU的结构可以将接入网设备的协议层拆分开,部分协议层的功能放在CU集中控制,剩下部分或全部协议层的功能分布在DU中,由CU集中控制DU,但不限于此。In some embodiments, the access network device may be composed of a centralized unit (central unit, CU) and a distributed unit (distributed unit, DU), wherein the CU may also be called a control unit (control unit). The CU-DU structure may be used to split the protocol layer of the access network device, with some functions of the protocol layer being centrally controlled by the CU, and the remaining part or all of the functions of the protocol layer being distributed in the DU, and the DU being centrally controlled by the CU, but not limited to this.

在一些实施例中,终端101例如包括手机(mobile phone)、可穿戴设备、物联网设备、具备通信功能的汽车、智能汽车、平板电脑(Pad)、带无线收发功能的电脑、虚拟现实(virtual reality,VR)终端设备、增强现实(augmented reality,AR)终端设备、工业控制(industrial control)中的无线终端设备、无人驾驶(self-driving)中的无线终端设备、远程手术(remote medical surgery)中的无线 终端设备、智能电网(smart grid)中的无线终端设备、运输安全(transportation safety)中的无线终端设备、智慧城市(smart city)中的无线终端设备、智慧家庭(smart home)中的无线终端设备中的至少一者,但不限于此。In some embodiments, the terminal 101 includes, for example, a mobile phone, a wearable device, an Internet of Things device, a car with a communication function, a smart car, a tablet computer, a computer with a wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, and a wireless terminal device in industrial control. At least one of terminal equipment, wireless terminal equipment in a smart grid, wireless terminal equipment in transportation safety, wireless terminal equipment in a smart city, and wireless terminal equipment in a smart home, but not limited to these.

可以理解的是,本公开实施例描述的通信系统是为了更加清楚的说明本公开实施例的技术方案,并不构成对于本公开实施例提供的技术方案的限定,本领域普通技术人员可知,随着系统架构的演变和新业务场景的出现,本公开实施例提供的技术方案对于类似的技术问题同样适用。It can be understood that the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution provided by the embodiment of the present disclosure. A person skilled in the art can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution provided by the embodiment of the present disclosure is also applicable to similar technical problems.

下述本公开实施例可以应用于图1a所示的通信系统100、或部分主体,但不限于此。图1a所示的各主体是例示,通信系统可以包括图1a中的全部或部分主体,也可以包括图1a以外的其他主体,各主体数量和形态为任意,各主体之间的连接关系是例示,各主体之间可以不连接也可以连接,其连接可以是任意方式,可以是直接连接也可以是间接连接,可以是有线连接也可以是无线连接。The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG. 1a, or part of the subject, but are not limited thereto. The subjects shown in FIG. 1a are examples, and the communication system may include all or part of the subjects in FIG. 1a, or may include other subjects other than FIG. 1a, and the number and form of the subjects are arbitrary, and the connection relationship between the subjects is an example, and the subjects may be connected or disconnected, and the connection may be in any manner, which may be a direct connection or an indirect connection, and may be a wired connection or a wireless connection.

本公开各实施例可以应用于长期演进(Long Term Evolution,LTE)、LTE-Advanced(LTE-A)、LTE-Beyond(LTE-B)、SUPER 3G、IMT-Advanced、第四代移动通信系统(4th generation mobile communication system,4G)、)、第五代移动通信系统(5th generation mobile communication system,5G)、5G新空口(new radio,NR)、未来无线接入(Future Radio Access,FRA)、新无线接入技术(New-Radio Access Technology,RAT)、新无线(New Radio,NR)、新无线接入(New radio access,NX)、未来一代无线接入(Future generation radio access,FX)、Global System for Mobile communications(GSM(注册商标))、CDMA2000、超移动宽带(Ultra Mobile Broadband,UMB)、IEEE 802.11(Wi-Fi(注册商标))、IEEE 802.16(WiMAX(注册商标))、IEEE 802.20、超宽带(Ultra-WideBand,UWB)、蓝牙(Bluetooth(注册商标))、陆上公用移动通信网(Public Land Mobile Network,PLMN)网络、设备到设备(Device-to-Device,D2D)系统、机器到机器(Machine to Machine,M2M)系统、物联网(Internet of Things,IoT)系统、车联网(Vehicle-to-Everything,V2X)、利用其他通信方法的系统、基于它们而扩展的下一代系统等。此外,也可以将多个系统组合(例如,LTE或者LTE-A与5G的组合等)应用。The embodiments of the present disclosure may be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, the fourth generation mobile communication system (4G), the fifth generation mobile communication system (5G), 5G new radio (NR), Future Radio Access (FRA), New-Radio Access Technology (RAT), New Radio (NR), New radio access (NX), Future generation radio access ... The present invention relates to wireless communication systems such as LTE, Wi-Fi (X), Global System for Mobile communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (registered trademark), Public Land Mobile Network (PLMN) network, Device to Device (D2D) system, Machine to Machine (M2M) system, Internet of Things (IoT) system, Vehicle to Everything (V2X), systems using other communication methods, and next-generation systems expanded based on them. In addition, a combination of multiple systems (for example, a combination of LTE or LTE-A with 5G, etc.) may also be applied.

可以基于终端侧CSI生成部分模型和网络设备侧的CSI恢复部分模型分别实现CSI的压缩反馈和恢复。终端侧CSI生成部分模型和网络设备侧的CSI恢复部分模型可以是双边人工智能(Artificial Intelligence,AI)/机器学习(Machine Learning,ML)模型。图1b为双边AI/ML模型实现CSI压缩反馈和恢复的示意图,UE侧通过CSI生成部分模型把下行信道信息H压缩后通过量化为二进制比特流发送给网络侧设备(如gNB),网络侧设备侧通过CSI恢复部分模型恢复出与原来下行信息近似的H’。The compression feedback and recovery of CSI can be realized based on the CSI generation partial model on the terminal side and the CSI recovery partial model on the network device side. The CSI generation partial model on the terminal side and the CSI recovery partial model on the network device side can be bilateral artificial intelligence (AI)/machine learning (ML) models. Figure 1b is a schematic diagram of the bilateral AI/ML model to realize CSI compression feedback and recovery. The UE side compresses the downlink channel information H through the CSI generation partial model and quantizes it into a binary bit stream and sends it to the network side device (such as gNB). The network side device recovers H' which is similar to the original downlink information through the CSI recovery partial model.

在一些实施例中,UE或gNB选择AI模型可以根据以下计算的性能准则或方法:In some embodiments, the UE or gNB may select an AI model based on the following performance criteria or methods:

可选方案1:中间KPI如余弦相似度的平方。Option 1: Intermediate KPI such as the square of cosine similarity.

对于可选方案1方案,UE可以上报目标输入CSI(即input-CSI-NW),或者NW发送目标输出CSI(即output-CSI-UE)分别实现NW侧或UE侧的计算中间KPI。For Option 1, the UE may report the target input CSI (i.e., input-CSI-NW), or the NW may send the target output CSI (i.e., output-CSI-UE) to respectively implement the calculation of the intermediate KPI on the NW side or the UE side.

可选方案2:最终的KPI,如吞吐量、误块率(Block Error Rate,BLER)、假定的BLER或非确认(NACK)/确认(ACK)。Option 2: Final KPIs such as throughput, Block Error Rate (BLER), assumed BLER, or non-acknowledgement (NACK)/acknowledgement (ACK).

可选方案3:基于传统的CSI反馈上报作为选择模型的参考。Option 3: Use traditional CSI feedback reporting as a reference for selecting a model.

传统的CSI反馈上报包含了基于Type I或Type II码本进行CSI测量和上报,码本类型或码本参数是由NW配置给UE。Traditional CSI feedback reporting includes CSI measurement and reporting based on Type I or Type II codebooks. The codebook type or codebook parameters are configured by the NW to the UE.

可选方案4:AI/ML网络模型的输入或输出数据分布,如训练数据和观测数据之间的数据飘移变化。Option 4: Input or output data distribution of AI/ML network models, such as data drift changes between training data and observation data.

假设UE已部署了M≥1个CSI生成部分模型,gNB部署了M≥1个CSI恢复部分模型。或者在UE或gNB部署了M个CSI生成部分模型和CSI恢复部分模型对。为了获取更好的系统性能,需要保证UE侧所用的CSI生成部分模型与gNB侧所用的CSI恢复部分模型的匹配关系,即保证二者是兼容的。Assume that the UE has deployed M≥1 CSI generation partial models and the gNB has deployed M≥1 CSI recovery partial models. Or M CSI generation partial models and CSI recovery partial model pairs are deployed on the UE or gNB. In order to obtain better system performance, it is necessary to ensure that the CSI generation partial model used on the UE side matches the CSI recovery partial model used on the gNB side, that is, to ensure that the two are compatible.

对于不同的场景、不同的配置等情况下,UE侧或NW侧部署了M>1个部分模型或者部分模型和CSI恢复部分模型对时,在UE或gNB侧如何选择一个与对端所用模型相匹配或兼容的部分模型,是需要待解决的问题。另外,随着在UE侧的部分模型执行,UE的电量等硬件条件的局限性也会限制在UE侧可用的模型个数,如何通知gNB从可用的模型中选择1个相匹配或兼容的模型来匹配终端的状态,同样是需要待解决的问题。 For different scenarios, different configurations, etc., when M>1 partial models or partial models and CSI recovery partial models are deployed on the UE side or NW side, how to select a partial model that matches or is compatible with the model used by the other end on the UE or gNB side is a problem that needs to be solved. In addition, with the execution of partial models on the UE side, the limitations of hardware conditions such as UE power will also limit the number of models available on the UE side. How to notify the gNB to select a matching or compatible model from the available models to match the terminal status is also a problem that needs to be solved.

图2a是根据本公开实施例示出的一种信息传输方法的交互示意图。如图2a所示,本公开实施例涉及信息传输方法,用于通信系统100,方法包括:FIG2a is an interactive schematic diagram of an information transmission method according to an embodiment of the present disclosure. As shown in FIG2a, the present disclosure embodiment relates to an information transmission method, which is used in a communication system 100, and the method includes:

步骤S2101:终端确定候选模型。Step S2101: The terminal determines a candidate model.

在一些实施例中,终端根据第二信息,从M个模型中确定N个候选模型。In some embodiments, the terminal determines N candidate models from M models based on the second information.

可选的,N为正整数,且1≤N≤M。Optionally, N is a positive integer, and 1≤N≤M.

在一些实施例中,M个模型可以是配置的所有可用模型。In some embodiments, the M models may be all available models for the configuration.

在一些实施例中,候选模型供终端和/或网络设备从中选择出目标模型。目标模型用于进行CSI压缩和CSI解压缩。In some embodiments, the candidate models are provided for the terminal and/or the network device to select a target model from. The target model is used to perform CSI compression and CSI decompression.

在一些实施例中,终端可以在接入网络后,从M个模型中确定N个候选模型。In some embodiments, the terminal may determine N candidate models from M models after accessing the network.

在一些实施例中,第二信息可以是网络设备发送给终端的。In some embodiments, the second information may be sent by the network device to the terminal.

在一些实施例中,第二信息可以是预先存储在终端内的。In some embodiments, the second information may be pre-stored in the terminal.

在一些实施例中,第二信息可以是终端确定的。In some embodiments, the second information may be determined by the terminal.

在一些实施例中,模型可以包括以下至少一项:AI模型;ML模型。In some embodiments, the model may include at least one of the following: an AI model; an ML model.

在一些实施例中,所述模型包括第一模型和与第二模型中至少之一,其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于网络设备端并用于对压缩的CSI进行解压缩,其中。In some embodiments, the model includes a first model and at least one of a second model, wherein the first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device end and is used to decompress the compressed CSI.

在一些实施例中,第一模型与第二模型具有绑定关系。In some embodiments, the first model has a binding relationship with the second model.

可选的,第一模型的模型标识和第二模型的模型标识可以相同。Optionally, the model identifier of the first model and the model identifier of the second model may be the same.

可选的,第一模型的模型标识和第二模型的模型标识可以具有绑定关联。Optionally, the model identifier of the first model and the model identifier of the second model may have a binding association.

在一些实施例中,终端确定候选模型可以包括以下至少一项:终端确定第一模型;终端确定第二模型;终端确定第一模型和第二模型。终端确定第一模型,相当于同时确定了第二模型。终端确定第二模型,相当于同时确定了第一模型。In some embodiments, the terminal determining the candidate model may include at least one of the following: the terminal determining the first model; the terminal determining the second model; the terminal determining the first model and the second model. The terminal determining the first model is equivalent to determining the second model at the same time. The terminal determining the second model is equivalent to determining the first model at the same time.

在一些实施例中,第二信息可以用于指示候选模型需要满足的条件。In some embodiments, the second information may be used to indicate conditions that the candidate model needs to satisfy.

在一些实施例中,所述第二信息包括以下至少一项:In some embodiments, the second information includes at least one of the following:

候选模型参数的指示信息;Indicative information of candidate model parameters;

用于确定候选模型的辅助信息;Auxiliary information used to determine candidate models;

所述终端当前状态的指示信。An indication of the current status of the terminal.

在一些实施例中,辅助信息可以是预先存储在终端内的,也可以是网络设备发送给终端的。In some embodiments, the auxiliary information may be pre-stored in the terminal, or may be sent to the terminal by the network device.

在一些实施例中,辅助信息用于指示以下至少一项:In some embodiments, the auxiliary information is used to indicate at least one of the following:

需求的候选模型的输入信息;The input information of the candidate models required;

需求的候选模型的输出信息;Output information of candidate models required;

数据业务类型;Data service type;

数据业务场景;Data business scenarios;

终端的能力信息,用于确定终端能采用的候选模型。The capability information of the terminal is used to determine the candidate models that the terminal can adopt.

示例性的,终端可以从M个模型中确定符合当前数据业务场景的N个候选模型。例如,终端可以从M个模型中确定符合户外场景的N个候选模型。Exemplarily, the terminal may determine N candidate models that meet the current data service scenario from the M models. For example, the terminal may determine N candidate models that meet the outdoor scenario from the M models.

在一些实施例中,网络设备也可以从M个模型中确定N个候选模型。具体实施方式与终端侧相似,在此不再赘述。In some embodiments, the network device may also determine N candidate models from the M models. The specific implementation is similar to that of the terminal side and will not be described in detail here.

步骤S2102:终端确定目标模型。Step S2102: The terminal determines the target model.

在一些实施例中,目标模型是终端确定用于进行CSI压缩和CSI解压缩的模型。In some embodiments, the target model is a model determined by the terminal for performing CSI compression and CSI decompression.

在一些实施例中,终端可以基于选择规则从N个候选模型确定目标模型。In some embodiments, the terminal may determine a target model from N candidate models based on a selection rule.

基于选择规则从N个候选模型确定目标模型包括以下至少一项:Determining a target model from N candidate models based on a selection rule includes at least one of the following:

基于候选模型的优先级从N个候选模型确定目标模型;Determine a target model from N candidate models based on the priorities of the candidate models;

基于候选模型与第二信息的匹配程度,从N个候选模型确定目标模型;Determine a target model from the N candidate models based on a degree of match between the candidate models and the second information;

基于候选模型的性能,从N个候选模型确定目标模型;Based on the performance of the candidate models, determine the target model from N candidate models;

基于候选模型的输出,从N个候选模型确定目标模型。Based on the outputs of the candidate models, a target model is determined from the N candidate models.

步骤S2103:终端发送第一信息。Step S2103: The terminal sends the first information.

在一些实施例中,终端向网络设备发送第一信息。In some embodiments, the terminal sends first information to the network device.

在一些实施例中,第一信息用于指示目标模型。In some embodiments, the first information is used to indicate a target model.

在一些实施例中,第一信息用于指示目标模型的模型标识。In some embodiments, the first information is used to indicate a model identifier of the target model.

在一些实施例中,第一信息用于指示目标模型在M个模型中的位置。 In some embodiments, the first information is used to indicate a position of the target model in the M models.

在一些实施例中,终端通过个比特位指示从M个模型中的1个目标模型。In some embodiments, the terminal bits indicate 1 target model from M models.

例如,M=16,即具有16个模型,终端通过个比特位指示第0至第15个选择的目标模型。For example, M = 16, that is, there are 16 models, and the terminal passes bits indicate the 0th to 15th selected target models.

在一些实施例中,第一信息用于指示目标模型在N个候选模型中的位置。In some embodiments, the first information is used to indicate a position of the target model among the N candidate models.

在一些实施例中,终端通过个比特位指示从N个候选模型中的目标模型。In some embodiments, the terminal bits indicate the target model from N candidate models.

在一些实施例中,第一信息用于指示N个候选模型。In some embodiments, the first information is used to indicate N candidate models.

在一些实施例中,所述目标模型是从N个候选模型中确定的。In some embodiments, the target model is determined from N candidate models.

在一些实施例中,指示目标模型的第一信息和指示N个候选模型的第一信息可以是同一个信息,也可以是不同信息。In some embodiments, the first information indicating the target model and the first information indicating the N candidate models may be the same information or different information.

在一些实施例中,第一信息可以采用位图等方式指示N个候选模型。In some embodiments, the first information may indicate the N candidate models in a bitmap or other manner.

可选的,第一信息可以大小为M个比特位的位图,用于指示从M个模型中选择的N个候选模型。Optionally, the first information may be a bitmap of M bits, used to indicate N candidate models selected from M models.

在一些实施例中,终端通过个比特位指示选择的N个候选模型,其中个比特位用于确定N的值,个比特位是用于指示从M中选择的N个模型。In some embodiments, the terminal bits indicate the selected N candidate models, where bits are used to determine the value of N, bits are used to indicate the N models selected from M.

在一些实施例中,术语“信息”可以与“消息(message)”、“信号(signal)”、“信令(signaling)”、“报告(report)”、“配置(configuration)”、“指示(indication)”、“指令(instruction)”、“命令(command)”、“信道”、“参数(parameter)”、“字段”、“数据(data)”等术语可以相互替换。In some embodiments, the term "information" can be interchangeably with terms such as "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "field", and "data".

在一些实施例中,术语“发送”可以与“发射”、“上报”、“传输”等术语相互替换。In some embodiments, the term "send" can be interchangeable with terms such as "transmit", "report", and "transmit".

本公开实施例所涉及的信息传输方法可以包括步骤S2101至步骤S2103中的至少一者。例如,步骤S2101可以作为独立实施例来实施,步骤S2102可以作为独立实施例来实施,步骤S2103可以作为独立实施例来实施,步骤S2102结合步骤S2103可以作为独立实施例来实施但不止于此。The information transmission method involved in the embodiments of the present disclosure may include at least one of steps S2101 to S2103. For example, step S2101 may be implemented as an independent embodiment, step S2102 may be implemented as an independent embodiment, step S2103 may be implemented as an independent embodiment, and step S2102 combined with step S2103 may be implemented as an independent embodiment, but not limited thereto.

图2b是根据本公开实施例示出的一种信息传输方法的交互示意图。如图2b所示,本公开实施例涉及信息传输方法,用于通信系统100,方法包括:FIG2b is an interactive schematic diagram of an information transmission method according to an embodiment of the present disclosure. As shown in FIG2b, the present disclosure embodiment relates to an information transmission method, which is used in a communication system 100, and the method includes:

步骤S2201:终端确定候选模型。Step S2201: The terminal determines a candidate model.

在一些实施例中,终端根据第二信息,从M个模型中确定N个候选模型。In some embodiments, the terminal determines N candidate models from M models based on the second information.

可选的,N为正整数,且1≤N≤M。Optionally, N is a positive integer, and 1≤N≤M.

在一些实施例中,M个模型可以是终端之前选择的候选模型。In some embodiments, the M models may be candidate models previously selected by the terminal.

可选的,M个模型可以是终端在接入网络后选择的候选模型。Optionally, the M models may be candidate models selected by the terminal after accessing the network.

在一些实施例中,M个模型可以是终端在图2a中步骤2101中基于第二信息确定的候选模型。In some embodiments, the M models may be candidate models determined by the terminal in step 2101 in FIG. 2a based on the second information.

结合图2a的实施例和图2b的实施例,图2b实施例中M个模型可以是图2a实施例中确定N个候选模型。Combining the embodiment of FIG. 2a with the embodiment of FIG. 2b , the M models in the embodiment of FIG. 2b may be the N candidate models determined in the embodiment of FIG. 2a .

图2b的实施例中从M个模型中确定N个候选模型,可以是从图2a实施例中确定N个候选模型中确定K个候选模型。其中,K为正整数,且1≤K≤N。In the embodiment of FIG2b, N candidate models are determined from M models, which may be K candidate models determined from N candidate models determined in the embodiment of FIG2a, where K is a positive integer and 1≤K≤N.

以下图2b实施例内容,以终端从N个候选模型中确定K个候选模型为例进行说明。The following embodiment of FIG. 2b is described by taking the example of a terminal determining K candidate models from N candidate models.

在一些实施例中,终端根据第二信息确定当前采用的模型不适用时,从N个候选模型中确定K个候选模型。In some embodiments, when the terminal determines, based on the second information, that the currently adopted model is not applicable, K candidate models are determined from N candidate models.

在一些实施例中,模型(包括候选模型和目标模型)可以包括以下至少一项:AI模型;ML模型。In some embodiments, the model (including candidate models and target models) may include at least one of the following: an AI model; an ML model.

在一些实施例中,所述模型包括第一模型和与第二模型中至少之一,其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于网络设备端并用于对压缩的CSI进行解压缩,其中。In some embodiments, the model includes a first model and at least one of a second model, wherein the first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device end and is used to decompress the compressed CSI.

在一些实施例中,第一模型与第二模型具有绑定关系。In some embodiments, the first model has a binding relationship with the second model.

可选的,第一模型的模型标识和第二模型的模型标识可以相同。Optionally, the model identifier of the first model and the model identifier of the second model may be the same.

可选的,第一模型的模型标识和第二模型的模型标识可以具有绑定关联。Optionally, the model identifier of the first model and the model identifier of the second model may have a binding association.

在一些实施例中,终端确定候选模型可以包括以下至少一项:终端确定第一模型;终端确定第二模型;终端确定第一模型和第二模型。终端确定第一模型,相当于同时确定了第二模型。终端确定第二模型,相当于同时确定了第一模型。In some embodiments, the terminal determining the candidate model may include at least one of the following: the terminal determining the first model; the terminal determining the second model; the terminal determining the first model and the second model. The terminal determining the first model is equivalent to determining the second model at the same time. The terminal determining the second model is equivalent to determining the first model at the same time.

在一些实施例中,第二信息可以是终端确定的。In some embodiments, the second information may be determined by the terminal.

在一些实施例中,第二信息可以用于指示候选模型需要满足的条件。In some embodiments, the second information may be used to indicate conditions that the candidate model needs to satisfy.

在一些实施例中,所述第二信息包括以下至少一项: In some embodiments, the second information includes at least one of the following:

指示当前业务类型的指示信息;Indicative information indicating the current business type;

指示所述终端当前状态的指示信息。Indication information indicating the current state of the terminal.

示例性的,终端当前状态的指示信息可以用于指示以下至少一项:Exemplarily, the indication information of the current state of the terminal may be used to indicate at least one of the following:

终端的处理能力状况;The processing capacity of the terminal;

终端的电量状况;The power status of the terminal;

终端的负载状况;Load conditions of the terminal;

终端的硬件能力状况。The hardware capabilities of the terminal.

在一些实施例中,终端可以从N个候选模型中确定K个候选模型。In some embodiments, the terminal may determine K candidate models from N candidate models.

在一些实施例中,K个候选模型可以满足终端当前状态。In some embodiments, K candidate models may satisfy the current state of the terminal.

例如,终端可以从在接入网络时选择的N个候选模型中确定终端当前状态(如电量状态)的K个候选模型。For example, the terminal may determine K candidate models of the current state of the terminal (eg, power state) from N candidate models selected when accessing the network.

步骤S2202:终端发送第三信息。Step S2202: The terminal sends the third information.

在一些实施例中,终端向网络设备发送指示所述终端当前状态的第三信息。In some embodiments, the terminal sends third information indicating a current state of the terminal to the network device.

在一些实施例中,所述第三信息用于所述网络设备确定是否允许所述终端从K个候选模型中确定目标模型。In some embodiments, the third information is used by the network device to determine whether to allow the terminal to determine the target model from K candidate models.

在一些实施例中,终端当前状态可以包括:当前模型不可用。In some embodiments, the current state of the terminal may include: the current model is unavailable.

可选的,网络设备可以对不可用的当前模型去激活。Optionally, the network device may deactivate the current model that is not available.

步骤S2203:网络设备发送第四信息。Step S2203: The network device sends the fourth information.

在一些实施例中,接收所述网络设备发送的第四信息,所述第四信息用于指示是否允许所述终端从所述K个候选模型中确定目标模型。In some embodiments, fourth information sent by the network device is received, and the fourth information is used to indicate whether the terminal is allowed to determine the target model from the K candidate models.

在一些实施例中,如果第四信息指示不允许终端所述终端从所述K个候选模型中确定目标模型,则终端不再确定新的目标模型。In some embodiments, if the fourth information indicates that the terminal is not allowed to determine the target model from the K candidate models, the terminal no longer determines a new target model.

可选的,第四信息可以指示终端进行回退(fall back)操作.如果第四信息指示不允许终端所述终端从所述N个候选模型中确定目标模型,则终端不再确定新的目标模型。Optionally, the fourth information may instruct the terminal to perform a fall back operation. If the fourth information indicates that the terminal is not allowed to determine the target model from the N candidate models, the terminal no longer determines a new target model.

步骤S2204:终端确定目标模型。Step S2204: The terminal determines the target model.

在一些实施例中,终端可以基于选择规则从K个候选模型确定目标模型。In some embodiments, the terminal may determine a target model from K candidate models based on a selection rule.

基于选择规则从K个候选模型确定目标模型包括以下至少一项:Determining the target model from the K candidate models based on the selection rule includes at least one of the following:

基于候选模型的优先级从K个候选模型确定目标模型;Determine the target model from K candidate models based on the priorities of the candidate models;

基于候选模型与第二信息的匹配程度,从K个候选模型确定目标模型;Determine a target model from the K candidate models based on a matching degree between the candidate models and the second information;

基于候选模型的性能,从K个候选模型确定目标模型;Based on the performance of the candidate models, determine the target model from the K candidate models;

基于候选模型的输出,从K个候选模型确定目标模型。Based on the outputs of the candidate models, a target model is determined from the K candidate models.

步骤S2205:终端发送第一信息。Step S2205: The terminal sends the first information.

在一些实施例中,终端向网络设备发送第一信息。In some embodiments, the terminal sends first information to the network device.

在一些实施例中,第一信息用于指示目标模型。In some embodiments, the first information is used to indicate a target model.

在一些实施例中,第一信息用于指示目标模型的模型标识。In some embodiments, the first information is used to indicate a model identifier of the target model.

在一些实施例中,第一信息用于指示目标模型在N个模型中的位置。In some embodiments, the first information is used to indicate a position of the target model in the N models.

可选的,UE可通过个比特位或者大小为N个比特位的位图指示候选可用的K个模型,其中个比特位用于确定K的值,是用于指示从N中选择了哪K个模型,然后UE再通过指示从K个模型中选择的目标模型,或者UE直接把所选模型的ID指示给NW。Optionally, the UE can bits or a bitmap of size N bits indicates the K candidate models available, where bits are used to determine the value of K, It is used to indicate which K models are selected from N, and then the UE passes Indicates the target model selected from K models, or the UE directly indicates the ID of the selected model to the NW.

在一些实施例中,模型的管理可以包含基于模型ID的管理和基于功能ID的管理。上述的通过模型ID指示所选择的模型,也可以通过功能ID指示的方式指示所选的模型。即模型ID可以用功能ID替代。In some embodiments, the management of models may include management based on model IDs and management based on function IDs. The above-mentioned indication of the selected model by model ID may also be indicated by the indication of function IDs. That is, the model ID may be replaced by the function ID.

在一些实施例中,模型标识包括以下至少一项:模型ID,功能ID。在一些实施例中,术语“信息”可以与“消息(message)”、“信号(signal)”、“信令(signaling)”、“报告(report)”、“配置(configuration)”、“指示(indication)”、“指令(instruction)”、“命令(command)”、“信道”、“参数(parameter)”、“字段”、“数据(data)”等术语可以相互替换。In some embodiments, the model identification includes at least one of the following: model ID, function ID. In some embodiments, the term "information" can be interchangeably used with terms such as "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "field", and "data".

在一些实施例中,术语“发送”可以与“发射”、“上报”、“传输”等术语相互替换。In some embodiments, the term "send" can be interchangeable with terms such as "transmit", "report", and "transmit".

本公开实施例所涉及的信息传输方法可以包括步骤S2201至步骤S2205中的至少一者。例如,步骤S2201可以作为独立实施例来实施,步骤S2202可以作为独立实施例来实施,步骤S2203可以 作为独立实施例来实施,步骤S2204可以作为独立实施例来实施,步骤S2205可以作为独立实施例来实施,步骤S2201至步骤2205可以结合作为独立实施例来实施,步骤S2201结合步骤2204、步骤2205作为独立实施例来实施但不止于此。The information transmission method involved in the embodiment of the present disclosure may include at least one of steps S2201 to S2205. For example, step S2201 may be implemented as an independent embodiment, step S2202 may be implemented as an independent embodiment, and step S2203 may be implemented as an independent embodiment. As independent embodiments, step S2204 can be implemented as an independent embodiment, step S2205 can be implemented as an independent embodiment, steps S2201 to 2205 can be implemented in combination as independent embodiments, and step S2201 can be implemented in combination with step 2204 and step 2205 as independent embodiments, but not limited thereto.

图2c是根据本公开实施例示出的一种信息传输方法的交互示意图。如图2c所示,本公开实施例涉及信息传输方法,用于通信系统100,方法包括:FIG2c is an interactive schematic diagram of an information transmission method according to an embodiment of the present disclosure. As shown in FIG2c, the present disclosure embodiment relates to an information transmission method, which is used in a communication system 100, and the method includes:

步骤S2301:终端发送第一信息。Step S2301: The terminal sends the first information.

在一些实施例中,终端向网络设备发送第一信息。In some embodiments, the terminal sends first information to the network device.

在一些实施例中,所述第一信息用于所述网络设备从M个模型中确定所述目标模型。In some embodiments, the first information is used by the network device to determine the target model from M models.

在一些实施例中,M个模型可以是配置的所有可用模型。In some embodiments, the M models may be all available models for the configuration.

在一些实施例中,模型(包括候选模型和目标模型)可以包括以下至少一项:AI模型;ML模型。In some embodiments, the model (including candidate models and target models) may include at least one of the following: an AI model; an ML model.

在一些实施例中,所述模型包括第一模型和与第二模型中至少之一,其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于网络设备端并用于对压缩的CSI进行解压缩,其中。In some embodiments, the model includes a first model and at least one of a second model, wherein the first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device end and is used to decompress the compressed CSI.

在一些实施例中,第一模型与第二模型具有绑定关系。In some embodiments, the first model has a binding relationship with the second model.

可选的,第一模型的模型标识和第二模型的模型标识可以相同。Optionally, the model identifier of the first model and the model identifier of the second model may be the same.

可选的,第一模型的模型标识和第二模型的模型标识可以具有绑定关联。Optionally, the model identifier of the first model and the model identifier of the second model may have a binding association.

在一些实施例中,终端确定候选模型可以包括以下至少一项:终端确定第一模型;终端确定第二模型;终端确定第一模型和第二模型。终端确定第一模型,相当于同时确定了第二模型。终端确定第二模型,相当于同时确定了第一模型。In some embodiments, the terminal determining the candidate model may include at least one of the following: the terminal determining the first model; the terminal determining the second model; the terminal determining the first model and the second model. The terminal determining the first model is equivalent to determining the second model at the same time. The terminal determining the second model is equivalent to determining the first model at the same time.

在一些实施例中,所述第一信息指示所述网络设备从M个模型中确定所述目标模型采用的模型参数,其中,所述模型参数包括以下至少一项:In some embodiments, the first information instructs the network device to determine a model parameter used by the target model from the M models, wherein the model parameter includes at least one of the following:

所述终端确定的信道特征向量;A channel feature vector determined by the terminal;

M个模型对所述特征向量进行压缩后得到的压缩的CSI;A compressed CSI obtained by compressing the feature vector by M models;

所述M个模型分别对应的模型标识。The M models respectively correspond to model identifiers.

在一些实施例中,终端可以根据下行导频确定信道的特征向量。In some embodiments, the terminal may determine a characteristic vector of a channel based on a downlink pilot.

在一些实施例中,终端可以采用终端M个第一模型对特征向量进行压缩,确定压缩的CSI。In some embodiments, the terminal may use M first models of the terminal to compress the feature vector and determine the compressed CSI.

在一些实施例中,网络设备可以向终端发送指示由网络设备确定目标模型的指令。终端基于该指令向网络设备发送第一信息。In some embodiments, the network device may send an instruction to the terminal to instruct the network device to determine the target model. The terminal sends the first information to the network device based on the instruction.

在一些实施例中,M个模型分别对应压缩的CSI可以采用模型的模型标识进行标识区分。In some embodiments, the compressed CSIs corresponding to the M models respectively may be identified and distinguished by using model identifiers of the models.

在一些实施例中,压缩的CSI可以采用预定义的规则进行发送,网络设备基于该规则确定个模型对应压缩的CSI。In some embodiments, the compressed CSI may be sent using a predefined rule, and the network device determines a model corresponding to the compressed CSI based on the rule.

在一些实施例中,发送第一信息中包含内容可以通过一次信令发送。In some embodiments, the content included in the first information may be sent through a single signaling.

在一些实施例中,发送第一信息中包含内容可以通过多次信令发送。In some embodiments, the content included in the first information may be sent through multiple signalings.

可选的,一个第一信息对应于一个模型。Optionally, one first information corresponds to a model.

可选的,一次信令可以发送一个第一信息,对应于一个或多个模型。步骤S2302:网络设备确定目标模型。Optionally, one signaling may send one first information corresponding to one or more models. Step S2302: The network device determines the target model.

在一些实施例中,网络设备根据第一信息从M个模型中确定目标模型。In some embodiments, the network device determines a target model from the M models based on the first information.

在一些实施例中,网络设备根据第一信息确定M个模型针对信道特征向量的性能参数,并基于性能参数确定目标模型。In some embodiments, the network device determines performance parameters of the M models for the channel feature vector according to the first information, and determines the target model based on the performance parameters.

在一些实施例中,网络设备可以基于压缩的CSI确定模型的中间KPI。这里,中间KPI可以包括余弦相似度的平方等。中间KPI可以用于供网络设备选择目标模型。In some embodiments, the network device may determine an intermediate KPI of the model based on the compressed CSI. Here, the intermediate KPI may include the square of the cosine similarity, etc. The intermediate KPI may be used for the network device to select a target model.

在一些实施例中,网络设备可以将中间KPI最佳的模型确定为目标模型。In some embodiments, the network device may determine the model with the best intermediate KPI as the target model.

步骤S2303:网络设备发送第六信息。Step S2303: The network device sends the sixth information.

在一些实施例中,网络设备在从M个模型中确定目标模型后,可以向终端发送第六信息,用于指示网络设备选择的目标模型。In some embodiments, after determining the target model from the M models, the network device may send sixth information to the terminal to indicate the target model selected by the network device.

在一些实施例中,术语“信息”可以与“消息(message)”、“信号(signal)”、“信令(signaling)”、“报告(report)”、“配置(configuration)”、“指示(indication)”、“指令(instruction)”、“命令(command)”、“信道”、“参数(parameter)”、“字段”、“数据(data)”等术语可以相互替换。In some embodiments, the term "information" can be interchangeably with terms such as "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "field", and "data".

在一些实施例中,术语“发送”可以与“发射”、“上报”、“传输”等术语相互替换。In some embodiments, the term "send" can be interchangeable with terms such as "transmit", "report", and "transmit".

本公开实施例所涉及的信息传输方法可以包括步骤S2301至步骤S2303中的至少一者。例如, 步骤S2301可以作为独立实施例来实施,步骤S2302可以作为独立实施例来实施,步骤S2303可以作为独立实施例来实施,步骤S2301至步骤2303可以结合作为独立实施例来实施但不止于此。The information transmission method involved in the embodiment of the present disclosure may include at least one of steps S2301 to S2303. For example, Step S2301 can be implemented as an independent embodiment, step S2302 can be implemented as an independent embodiment, step S2303 can be implemented as an independent embodiment, and steps S2301 to 2303 can be implemented in combination as independent embodiments, but not limited to this.

图2d是根据本公开实施例示出的一种信息传输方法的交互示意图。如图2d所示,本公开实施例涉及信息传输方法,用于通信系统100,方法包括:FIG2d is an interactive schematic diagram of an information transmission method according to an embodiment of the present disclosure. As shown in FIG2d, the present disclosure embodiment relates to an information transmission method, which is used in a communication system 100, and the method includes:

步骤S2401:网络设备确定候选模型。Step S2401: The network device determines a candidate model.

在一些实施例中,网络设备从M个模型中选择N个候选模型。In some embodiments, the network device selects N candidate models from the M models.

在一些实施例中,网络设备根据第二信息,从M个模型中确定N个候选模型。In some embodiments, the network device determines N candidate models from M models based on the second information.

可选的,N为正整数,且1≤N≤M。Optionally, N is a positive integer, and 1≤N≤M.

在一些实施例中,M个模型可以是配置的所有可用模型。In some embodiments, the M models may be all available models for the configuration.

在一些实施例中,候选模型供终端和/或网络设备从中选择出目标模型。目标模型用于进行CSI压缩和CSI解压缩。In some embodiments, the candidate models are provided for the terminal and/or the network device to select a target model from. The target model is used to perform CSI compression and CSI decompression.

在一些实施例中,第二信息可以是终端发送给网络设备的。In some embodiments, the second information may be sent by the terminal to the network device.

在一些实施例中,第二信息可以是预先存储在网络设备内的。In some embodiments, the second information may be pre-stored in the network device.

在一些实施例中,第二信息可以是网络设备确定的。In some embodiments, the second information may be determined by the network device.

在一些实施例中,模型可以包括以下至少一项:AI模型;ML模型。In some embodiments, the model may include at least one of the following: an AI model; an ML model.

在一些实施例中,所述模型包括第一模型和与第二模型中至少之一,其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于网络设备端并用于对压缩的CSI进行解压缩,其中。In some embodiments, the model includes a first model and at least one of a second model, wherein the first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device end and is used to decompress the compressed CSI.

在一些实施例中,第一模型与第二模型具有绑定关系。In some embodiments, the first model has a binding relationship with the second model.

可选的,第一模型的模型标识和第二模型的模型标识可以相同。Optionally, the model identifier of the first model and the model identifier of the second model may be the same.

可选的,第一模型的模型标识和第二模型的模型标识可以具有绑定关联。Optionally, the model identifier of the first model and the model identifier of the second model may have a binding association.

在一些实施例中,网络设备确定候选模型可以包括以下至少一项:网络设备确定第一模型;网络设备确定第二模型;网络设备确定第一模型和第二模型。网络设备确定第一模型,相当于同时确定了第二模型。网络设备确定第二模型,相当于同时确定了第一模型。In some embodiments, the network device determining the candidate model may include at least one of the following: the network device determining the first model; the network device determining the second model; the network device determining the first model and the second model. The network device determining the first model is equivalent to determining the second model at the same time. The network device determining the second model is equivalent to determining the first model at the same time.

在一些实施例中,第二信息可以用于指示候选模型需要满足的条件。In some embodiments, the second information may be used to indicate conditions that the candidate model needs to satisfy.

在一些实施例中,所述第二信息包括以下至少一项:In some embodiments, the second information includes at least one of the following:

候选模型参数的指示信息;Indicative information of candidate model parameters;

用于确定候选模型的辅助信息;Auxiliary information used to determine candidate models;

所述终端当前状态的指示信。An indication of the current status of the terminal.

在一些实施例中,辅助信息可以是预先存储在网络设备内的。In some embodiments, the auxiliary information may be pre-stored in the network device.

在一些实施例中,辅助信息用于指示以下至少一项:In some embodiments, the auxiliary information is used to indicate at least one of the following:

需求的候选模型的输入信息;The input information of the candidate models required;

需求的候选模型的输出信息;Output information of candidate models required;

数据业务类型;Data service type;

数据业务场景;Data business scenarios;

终端的能力信息,用于确定终端能采用的候选模型。The capability information of the terminal is used to determine the candidate models that the terminal can adopt.

示例性的,网络设备可以从M个模型中确定符合当前数据业务场景的N个候选模型。例如,网络设备可以从M个模型中确定符合户外场景的N个候选模型。Exemplarily, the network device may determine N candidate models that meet the current data service scenario from the M models. For example, the network device may determine N candidate models that meet the outdoor scenario from the M models.

步骤S2402:网络设备发送第六信息。Step S2402: The network device sends the sixth information.

在一些实施例中,第六信息用于指示所述网络设备从所述M个模型中确定的所述N个候选模型。In some embodiments, the sixth information is used to indicate the N candidate models determined by the network device from the M models.

在一些实施例中,第六信息可以是大小为M个比特位的位图。M个比特位的位图可以用于指示M个模型中N个候选模型。N为大于等于1,并且小于等于M的整数。In some embodiments, the sixth information may be a bitmap of M bits. The M-bit bitmap may be used to indicate N candidate models among the M models. N is an integer greater than or equal to 1 and less than or equal to M.

在一些实施例中,第六信息可以通过个比特位指示N个候选模型其中个比特位用于确定N的值,个比特位是用于指示从M中选择的N个候选模型。In some embodiments, the sixth information may be provided by bits indicate N candidate models among which bits are used to determine the value of N, bits are used to indicate the N candidate models selected from M.

步骤S2403:终端发送第一信息。Step S2403: The terminal sends the first information.

在一些实施例中,第一信息用于指示是否允许所述网络设备确定所述目标模型。In some embodiments, the first information is used to indicate whether the network device is allowed to determine the target model.

在一些实施例中,第一信息为第一值时,指示由网络设备确定所述目标模型。In some embodiments, when the first information is a first value, it indicates that the target model is determined by a network device.

在一些实施例中,第一信息为第二值时,指示不允许网络设备确定目标模型。In some embodiments, when the first information is the second value, it indicates that the network device is not allowed to determine the target model.

在一些实施例中,终端确定N个候选模型是否可用,如果N个候选模型至少一个可用,如果N个候选模型均不可用,发送第一信息指示不允许所述网络设备确定所述目标模型。 In some embodiments, the terminal determines whether N candidate models are available, and if at least one of the N candidate models is available, if none of the N candidate models are available, sends first information indicating that the network device is not allowed to determine the target model.

步骤S2404:网络设备确定目标模型。Step S2404: The network device determines the target model.

在一些实施例中,网络设备从N个候选模型中确定目标模型。In some embodiments, the network device determines a target model from N candidate models.

在一些实施例中,网络设备确定终端允许网络设备确定所述目标模型时,从N个候选模型中确定目标模型。In some embodiments, when the network device determines that the terminal allows the network device to determine the target model, the target model is determined from N candidate models.

在一些实施例中,网络设备可以基于候选模型的性能参数等从N个候选模型中确定目标模型。In some embodiments, the network device may determine a target model from N candidate models based on performance parameters of the candidate models, etc.

例如,网络设备可以基于候选模型的中间KPI等从N个候选模型中确定目标模型。For example, the network device may determine a target model from N candidate models based on intermediate KPIs of the candidate models, etc.

步骤S2405:网络设备发送第七信息,Step S2405: The network device sends the seventh information.

在一些实施例中,第七信息用于指示网络设备从N个候选模型中确定目标模型。In some embodiments, the seventh information is used to instruct the network device to determine the target model from N candidate models.

在一些实施例中,第七信息可以指示目标模型的模型标识。In some embodiments, the seventh information may indicate a model identification of the target model.

在一些实施例中,第七信息采用个比特位指示从N个候选模型中确定目标模型。In some embodiments, the seventh information is bits indicate that the target model is determined from N candidate models.

在一些实施例中,术语“信息”可以与“消息(message)”、“信号(signal)”、“信令(signaling)”、“报告(report)”、“配置(configuration)”、“指示(indication)”、“指令(instruction)”、“命令(command)”、“信道”、“参数(parameter)”、“字段”、“数据(data)”等术语可以相互替换。In some embodiments, the term "information" can be interchangeably with terms such as "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "field", and "data".

在一些实施例中,术语“发送”可以与“发射”、“上报”、“传输”等术语相互替换。In some embodiments, the term "send" can be interchangeable with terms such as "transmit", "report", and "transmit".

本公开实施例所涉及的信息传输方法可以包括步骤S2401至步骤S2405中的至少一者。例如,步骤S2401可以作为独立实施例来实施,步骤S2402可以作为独立实施例来实施,步骤S2403可以作为独立实施例来实施,步骤S2404可以作为独立实施例来实施,步骤S2405可以作为独立实施例来实施,步骤S2401至步骤2405可以结合作为独立实施例来实施,步骤S2401、步骤S2404和步骤2405可以结合作为独立实施例来实施,步骤S2401、步骤S2402、步骤S2404和步骤2405可以结合作为独立实施例来实施但不止于此。The information transmission method involved in the embodiments of the present disclosure may include at least one of steps S2401 to S2405. For example, step S2401 may be implemented as an independent embodiment, step S2402 may be implemented as an independent embodiment, step S2403 may be implemented as an independent embodiment, step S2404 may be implemented as an independent embodiment, step S2405 may be implemented as an independent embodiment, steps S2401 to 2405 may be implemented in combination as an independent embodiment, step S2401, step S2404 and step 2405 may be implemented in combination as an independent embodiment, and step S2401, step S2402, step S2404 and step 2405 may be implemented in combination as an independent embodiment, but not limited thereto.

图2e是根据本公开实施例示出的一种信息传输方法的交互示意图。如图2e所示,本公开实施例涉及信息传输方法,用于通信系统100,方法包括:FIG2e is an interactive schematic diagram of an information transmission method according to an embodiment of the present disclosure. As shown in FIG2e, the present disclosure embodiment relates to an information transmission method, which is used in a communication system 100, and the method includes:

步骤S2501:终端确定候选模型。Step S2501: The terminal determines a candidate model.

在一些实施例中,终端根据第二信息,从M个模型中确定N个候选模型。In some embodiments, the terminal determines N candidate models from M models based on the second information.

可选的,N为正整数,且1≤N≤M。Optionally, N is a positive integer, and 1≤N≤M.

在一些实施例中,M个模型可以是配置的所有可用模型。In some embodiments, the M models may be all available models for the configuration.

在一些实施例中,候选模型供终端和/或网络设备从中选择出目标模型。目标模型用于进行CSI压缩和CSI解压缩。In some embodiments, the candidate models are provided for the terminal and/or the network device to select a target model from. The target model is used to perform CSI compression and CSI decompression.

在一些实施例中,终端可以在接入网络后,从M个模型中确定N个候选模型。In some embodiments, the terminal may determine N candidate models from M models after accessing the network.

在一些实施例中,终端可以从N个候选模型中进一步确定K个候选模型。In some embodiments, the terminal may further determine K candidate models from the N candidate models.

可选的,N个候选模型是终端在接入网络时从M个模型确定的,K个候选模型是终端在运行一个阶段后根据终端当前状态等从N个候选模型中确定的。Optionally, the N candidate models are determined from the M models when the terminal accesses the network, and the K candidate models are determined from the N candidate models according to the current state of the terminal etc. after the terminal runs for a stage.

本实施例以N个候选模型为例进行说明。K个候选模型处理的方式与N个候选模型的处理方式相似,在此不再赘述。This embodiment is described by taking N candidate models as an example. The processing method of K candidate models is similar to the processing method of N candidate models, which will not be repeated here.

在一些实施例中,第二信息可以是网络设备发送给终端的。In some embodiments, the second information may be sent by the network device to the terminal.

在一些实施例中,第二信息可以是预先存储在终端内的。In some embodiments, the second information may be pre-stored in the terminal.

在一些实施例中,第二信息可以是终端确定的。In some embodiments, the second information may be determined by the terminal.

在一些实施例中,模型可以包括以下至少一项:AI模型;ML模型。In some embodiments, the model may include at least one of the following: an AI model; an ML model.

在一些实施例中,所述模型包括第一模型和与第二模型中至少之一,其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于网络设备端并用于对压缩的CSI进行解压缩,其中。In some embodiments, the model includes a first model and at least one of a second model, wherein the first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device end and is used to decompress the compressed CSI.

在一些实施例中,第一模型与第二模型具有绑定关系。In some embodiments, the first model has a binding relationship with the second model.

可选的,第一模型的模型标识和第二模型的模型标识可以相同。Optionally, the model identifier of the first model and the model identifier of the second model may be the same.

可选的,第一模型的模型标识和第二模型的模型标识可以具有绑定关联。Optionally, the model identifier of the first model and the model identifier of the second model may have a binding association.

在一些实施例中,终端确定候选模型可以包括以下至少一项:终端确定第一模型;终端确定第二模型;终端确定第一模型和第二模型。终端确定第一模型,相当于同时确定了第二模型。终端确定第二模型,相当于同时确定了第一模型。In some embodiments, the terminal determining the candidate model may include at least one of the following: the terminal determining the first model; the terminal determining the second model; the terminal determining the first model and the second model. The terminal determining the first model is equivalent to determining the second model at the same time. The terminal determining the second model is equivalent to determining the first model at the same time.

在一些实施例中,第二信息可以用于指示候选模型需要满足的条件。In some embodiments, the second information may be used to indicate conditions that the candidate model needs to satisfy.

在一些实施例中,所述第二信息包括以下至少一项:In some embodiments, the second information includes at least one of the following:

候选模型参数的指示信息;Indicative information of candidate model parameters;

用于确定候选模型的辅助信息; Auxiliary information used to determine candidate models;

所述终端当前状态的指示信。An indication of the current status of the terminal.

在一些实施例中,辅助信息可以是预先存储在终端内的,也可以是网络设备发送给终端的。In some embodiments, the auxiliary information may be pre-stored in the terminal, or may be sent to the terminal by the network device.

在一些实施例中,辅助信息用于指示以下至少一项:In some embodiments, the auxiliary information is used to indicate at least one of the following:

需求的候选模型的输入信息;The input information of the candidate models required;

需求的候选模型的输出信息;Output information of candidate models required;

数据业务类型;Data service type;

数据业务场景;Data business scenarios;

终端的能力信息,用于确定终端能采用的候选模型。The capability information of the terminal is used to determine the candidate models that the terminal can adopt.

示例性的,终端可以从M个模型中确定符合当前数据业务场景的N个候选模型。例如,终端可以从M个模型中确定符合户外场景的N个候选模型。Exemplarily, the terminal may determine N candidate models that meet the current data service scenario from the M models. For example, the terminal may determine N candidate models that meet the outdoor scenario from the M models.

在一些实施例中,网络设备也可以从M个模型中确定N个候选模型。具体实施方式与终端侧相似,在此不再赘述。In some embodiments, the network device may also determine N candidate models from the M models. The specific implementation is similar to that of the terminal side and will not be described in detail here.

步骤S2502:终端发送第一信息。Step S2502: The terminal sends the first information.

在一些实施例中,终端向网络设备发送第一信息。In some embodiments, the terminal sends first information to the network device.

在一些实施例中,第一信息用于指示N个候选模型。In some embodiments, the first information is used to indicate N candidate models.

在一些实施例中,目标模型是从N个候选模型中确定的。In some embodiments, the target model is determined from N candidate models.

在一些实施例中,第一信息用于指示供网络设备确定目标模型的N个候选模型。In some embodiments, the first information is used to indicate N candidate models for the network device to determine the target model.

在一些实施例中,N个候选模型可以是图2a实施例中确定的N个候选模型,也可以是图2b实施例中确定的K个候选模型。本实施例以N个候选模型为例。In some embodiments, the N candidate models may be the N candidate models determined in the embodiment of Fig. 2a, or the K candidate models determined in the embodiment of Fig. 2b. This embodiment takes N candidate models as an example.

在一些实施例中,指示目标模型的第一信息和指示N个候选模型的第一信息可以是同一个信息,也可以是不同信息。In some embodiments, the first information indicating the target model and the first information indicating the N candidate models may be the same information or different information.

在一些实施例中,第一信息可以采用位图等方式指示N个候选模型。In some embodiments, the first information may indicate the N candidate models in a bitmap or other manner.

可选的,第一信息可以大小为M个比特位的位图,用于指示从M个模型中选择的N个候选模型。Optionally, the first information may be a bitmap of M bits, used to indicate N candidate models selected from M models.

在一些实施例中,终端通过个比特位指示选择的N个候选模型,其中个比特位用于确定N的值,个比特位是用于指示从M中选择的N个模型。In some embodiments, the terminal bits indicate the selected N candidate models, where bits are used to determine the value of N, bits are used to indicate the N models selected from M.

步骤S2503:网络设备确定目标模型。Step S2503: The network device determines the target model.

在一些实施例中,网络设备可以基于选择规则从N个候选模型确定目标模型。In some embodiments, the network device may determine a target model from N candidate models based on a selection rule.

基于选择规则从N个候选模型确定目标模型包括以下至少一项:Determining a target model from N candidate models based on a selection rule includes at least one of the following:

基于候选模型的优先级从N个候选模型确定目标模型;Determine a target model from N candidate models based on the priorities of the candidate models;

基于候选模型与第二信息的匹配程度,从N个候选模型确定目标模型;Determine a target model from the N candidate models based on a degree of match between the candidate models and the second information;

基于候选模型的性能,从N个候选模型确定目标模型;Based on the performance of the candidate models, determine the target model from N candidate models;

基于候选模型的输出,从N个候选模型确定目标模型。Based on the outputs of the candidate models, a target model is determined from the N candidate models.

步骤S2504:网络设备发送第五信息。Step S2504: The network device sends the fifth information.

在一些实施例中,网络设备向终端发送第五信息。In some embodiments, the network device sends fifth information to the terminal.

在一些实施例中,第五信息用于指示目标模型。In some embodiments, the fifth information is used to indicate a target model.

在一些实施例中,第五信息用于指示目标模型的模型标识。In some embodiments, the fifth information is used to indicate a model identifier of the target model.

在一些实施例中,第五信息用于指示目标模型在N个候选模型中的位置。In some embodiments, the fifth information is used to indicate the position of the target model among the N candidate models.

在一些实施例中,终端通过个比特位指示从N个候选模型中的目标模型。In some embodiments, the terminal bits indicate the target model from N candidate models.

在一些实施例中,如果网络设备未能确定目标模型,第五信息指示所述终端发送CSI的方式。In some embodiments, if the network device fails to determine the target model, the fifth information indicates a manner in which the terminal sends the CSI.

在一些实施例中,第五信息指示所述终端发送CSI的方式,不同于通过模型对CSI进行压缩的方式。In some embodiments, the fifth information indicates a manner in which the terminal sends the CSI, which is different from a manner in which the CSI is compressed by a model.

在一些实施例中,第五信息指示所述终端发送CSI的方式可以是传统non-AI的CSI反馈。In some embodiments, the fifth information indicates that the terminal may send CSI in a traditional non-AI CSI feedback manner.

在一些实施例中,终端基于第五信息指示的目标模型进行CSI的压缩。In some embodiments, the terminal compresses the CSI based on the target model indicated by the fifth information.

在一些实施例中,终端基于第五信息指示的发送CSI的方式进行CSI的发送。In some embodiments, the terminal sends CSI based on the manner of sending CSI indicated by the fifth information.

在一些实施例中,术语“信息”可以与“消息(message)”、“信号(signal)”、“信令(signaling)”、“报告(report)”、“配置(configuration)”、“指示(indication)”、“指令(instruction)”、“命令(command)”、“信道”、“参数(parameter)”、“字段”、“数据(data)”等术语可以相互替换。In some embodiments, the term "information" can be interchangeably with terms such as "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "field", and "data".

在一些实施例中,术语“发送”可以与“发射”、“上报”、“传输”等术语相互替换。In some embodiments, the term "send" can be interchangeable with terms such as "transmit", "report", and "transmit".

本公开实施例所涉及的信息传输方法可以包括步骤S2501至步骤S2505中的至少一者。例如, 步骤S2501可以作为独立实施例来实施,步骤S2502可以作为独立实施例来实施,步骤S2503可以作为独立实施例来实施,步骤S2504可以作为独立实施例来实施,步骤S2505可以作为独立实施例来实施,步骤S2501至步骤2505可以结合作为独立实施例来实施,步骤S2501结合步骤2504,步骤2505作为独立实施例来实施但不止于此。The information transmission method involved in the embodiment of the present disclosure may include at least one of steps S2501 to S2505. For example, Step S2501 can be implemented as an independent embodiment, step S2502 can be implemented as an independent embodiment, step S2503 can be implemented as an independent embodiment, step S2504 can be implemented as an independent embodiment, step S2505 can be implemented as an independent embodiment, steps S2501 to 2505 can be implemented in combination as independent embodiments, step S2501 is combined with step 2504, and step 2505 is implemented as an independent embodiment, but not limited to this.

图3a是根据本公开实施例示出的一种信息传输方法的流程示意图。如图3a所示,本公开实施例涉及信息传输方法,由终端101执行,上述方法包括:FIG3a is a flow chart of an information transmission method according to an embodiment of the present disclosure. As shown in FIG3a, the present disclosure embodiment relates to an information transmission method, which is executed by a terminal 101, and the method includes:

步骤S3101:确定候选模型。Step S3101: Determine candidate models.

在一些实施例中,步骤S3101的可选实现方式可以参见图2a的步骤S2101的可选实现方式、及图2a所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S3101 can refer to the optional implementation of step S2101 in Figure 2a and other related parts of the embodiment involved in Figure 2a, which will not be repeated here.

步骤S3102:确定目标模型。Step S3102: Determine the target model.

在一些实施例中,步骤S3102的可选实现方式可以参见图2a的步骤S2102的可选实现方式、及图2a所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S3102 can refer to the optional implementation of step S2102 in Figure 2a and other related parts of the embodiment involved in Figure 2a, which will not be repeated here.

步骤S3103:发送第一信息。Step S3103: Send the first information.

在一些实施例中,步骤S3103的可选实现方式可以参见图2a的步骤S2103的可选实现方式、及图2a所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S3103 can refer to the optional implementation of step S2103 in Figure 2a and other related parts of the embodiment involved in Figure 2a, which will not be repeated here.

本公开实施例所涉及的信息传输方法可以包括步骤S3101至步骤S3103中的至少一者。例如,步骤S3101可以作为独立实施例来实施,步骤S3102可以作为独立实施例来实施,步骤S3103可以作为独立实施例来实施但不限于此。The information transmission method involved in the embodiment of the present disclosure may include at least one of step S3101 to step S3103. For example, step S3101 may be implemented as an independent embodiment, step S3102 may be implemented as an independent embodiment, and step S3103 may be implemented as an independent embodiment but is not limited thereto.

图3b是根据本公开实施例示出的一种信息传输方法的流程示意图。如图3b所示,本公开实施例涉及信息传输方法,由终端101执行,上述方法包括:FIG3b is a flow chart of an information transmission method according to an embodiment of the present disclosure. As shown in FIG3b, the present disclosure embodiment relates to an information transmission method, which is executed by a terminal 101, and the method includes:

步骤S3201:确定候选模型。Step S3201: Determine candidate models.

在一些实施例中,步骤S3201的可选实现方式可以参见图2b的步骤S2201的可选实现方式、及图2b所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S3201 can refer to the optional implementation of step S2201 in Figure 2b and other related parts of the embodiment involved in Figure 2b, which will not be repeated here.

步骤S3202:发送第三信息。Step S3202: Send the third information.

在一些实施例中,步骤S3202的可选实现方式可以参见图2b的步骤S2202的可选实现方式、及图2b所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S3202 can refer to the optional implementation of step S2202 in Figure 2b and other related parts of the embodiment involved in Figure 2b, which will not be repeated here.

步骤S3203:获取第四信息。Step S3203: Obtain the fourth information.

在一些实施例中,步骤S3202的可选实现方式可以参见图2b的步骤S2202的可选实现方式、及图2b所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S3202 can refer to the optional implementation of step S2202 in Figure 2b and other related parts of the embodiment involved in Figure 2b, which will not be repeated here.

在一些实施例中,终端101接收由网络设备102发送的第一信息,但不限于此,也可以接收由其他主体发送的第一信息。In some embodiments, the terminal 101 receives the first information sent by the network device 102, but is not limited thereto and may also receive the first information sent by other entities.

在一些实施例中,终端101获取由协议规定的第一信息。In some embodiments, terminal 101 obtains first information specified by a protocol.

在一些实施例中,终端101从高层(upper layer(s))获取第一信息。In some embodiments, terminal 101 obtains first information from an upper layer(s).

在一些实施例中,终端101进行处理从而得到第一信息。In some embodiments, terminal 101 performs processing to obtain the first information.

在一些实施例中,步骤S3203被省略,终端101自主实现第一信息所指示的功能,或上述功能为缺省或默认。In some embodiments, step S3203 is omitted, and the terminal 101 autonomously implements the function indicated by the first information, or the above function is default or default.

步骤S3204:确定目标模型。Step S3204: Determine the target model.

在一些实施例中,步骤S3204的可选实现方式可以参见图2b的步骤S2204的可选实现方式、及图2b所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S3204 can refer to the optional implementation of step S2204 in Figure 2b and other related parts of the embodiment involved in Figure 2b, which will not be repeated here.

步骤S3205:发送第一信息。Step S3205: Send the first information.

在一些实施例中,步骤S3205的可选实现方式可以参见图2b的步骤S2205的可选实现方式、及图2b所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S3205 can refer to the optional implementation of step S2205 in Figure 2b and other related parts of the embodiment involved in Figure 2b, which will not be repeated here.

本公开实施例所涉及的信息传输方法可以包括步骤S3201至步骤S3205中的至少一者。例如,步骤S3201可以作为独立实施例来实施,步骤S3202可以作为独立实施例来实施,步骤S3203可以作为独立实施例来实施,步骤S3204可以作为独立实施例来实施,步骤S3205可以作为独立实施例来实施,步骤S3201至步骤3205可以结合作为独立实施例来实施,步骤S3201结合步骤3204,步骤3205作为独立实施例来实施但不止于此。The information transmission method involved in the embodiments of the present disclosure may include at least one of steps S3201 to S3205. For example, step S3201 may be implemented as an independent embodiment, step S3202 may be implemented as an independent embodiment, step S3203 may be implemented as an independent embodiment, step S3204 may be implemented as an independent embodiment, step S3205 may be implemented as an independent embodiment, steps S3201 to 3205 may be implemented in combination as independent embodiments, step S3201 may be combined with step 3204, and step 3205 may be implemented as independent embodiments, but not limited thereto.

图3c是根据本公开实施例示出的一种信息传输方法的流程示意图。如图3c所示,本公开实施 例涉及信息传输方法,由终端101执行,上述方法包括:FIG3c is a flow chart of an information transmission method according to an embodiment of the present disclosure. The example relates to an information transmission method, which is executed by the terminal 101, and the method includes:

步骤S3301:发送第一信息。Step S3301: Send the first information.

在一些实施例中,步骤S3301的可选实现方式可以参见图2c的步骤S2301的可选实现方式、及图2c所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S3301 can refer to the optional implementation of step S2301 in Figure 2c and other related parts of the embodiment involved in Figure 2c, which will not be repeated here.

步骤S3302:获取第六信息。Step S3302: Obtain sixth information.

在一些实施例中,步骤S3302的可选实现方式可以参见图2c的步骤S2303的可选实现方式、及图2c所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S3302 can refer to the optional implementation of step S2303 in Figure 2c and other related parts of the embodiment involved in Figure 2c, which will not be repeated here.

在一些实施例中,终端101接收由网络设备102发送的第六信息,但不限于此,也可以接收由其他主体发送的第一信息。In some embodiments, the terminal 101 receives the sixth information sent by the network device 102, but is not limited thereto, and may also receive the first information sent by other entities.

在一些实施例中,终端101获取由协议规定的第六信息。In some embodiments, terminal 101 obtains sixth information specified by the protocol.

在一些实施例中,终端101从高层(upper layer(s))获取第六信息。在一些实施例中,终端101进行处理从而得到第六信息。In some embodiments, terminal 101 obtains the sixth information from an upper layer (upper layer(s)). In some embodiments, terminal 101 performs processing to obtain the sixth information.

在一些实施例中,步骤S3302被省略,终端101自主实现第六信息所指示的功能,或上述功能为缺省或默认。In some embodiments, step S3302 is omitted, and the terminal 101 autonomously implements the function indicated by the sixth information, or the above function is default or default.

本公开实施例所涉及的信息传输方法可以包括步骤S3301至步骤S3302中的至少一者。例如,步骤S3301可以作为独立实施例来实施,步骤S3302可以作为独立实施例来实施但不限于此。The information transmission method involved in the embodiment of the present disclosure may include at least one of step S3301 to step S3302. For example, step S3301 may be implemented as an independent embodiment, and step S3302 may be implemented as an independent embodiment but is not limited thereto.

图3d是根据本公开实施例示出的一种信息传输方法的流程示意图。如图3d所示,本公开实施例涉及信息传输方法,由终端101执行,上述方法包括:FIG3d is a flow chart of an information transmission method according to an embodiment of the present disclosure. As shown in FIG3d, the present disclosure embodiment relates to an information transmission method, which is executed by the terminal 101, and the method includes:

步骤S3401:获取第六信息。Step S3401: Obtain sixth information.

在一些实施例中,步骤S3401的可选实现方式可以参见图2d的步骤S2402的可选实现方式、及图2d所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S3401 can refer to the optional implementation of step S2402 in Figure 2d and other related parts of the embodiment involved in Figure 2d, which will not be repeated here.

在一些实施例中,终端101接收由网络设备102发送的第六信息,但不限于此,也可以接收由其他主体发送的第六信息。In some embodiments, the terminal 101 receives the sixth information sent by the network device 102, but is not limited thereto, and may also receive the sixth information sent by other entities.

在一些实施例中,终端101获取由协议规定的第六信息。In some embodiments, terminal 101 obtains sixth information specified by the protocol.

在一些实施例中,终端101从高层(upper layer(s))获取第六信息。In some embodiments, terminal 101 obtains sixth information from upper layer(s).

在一些实施例中,终端101进行处理从而得到第六信息。In some embodiments, terminal 101 performs processing to obtain sixth information.

在一些实施例中,步骤S3401被省略,终端101自主实现第六信息所指示的功能,或上述功能为缺省或默认。In some embodiments, step S3401 is omitted, and the terminal 101 autonomously implements the function indicated by the sixth information, or the above function is default or default.

步骤S3402:发送第一信息。Step S3402: Send the first information.

在一些实施例中,步骤S3402的可选实现方式可以参见图2d的步骤S2403的可选实现方式、及图2d所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S3402 can refer to the optional implementation of step S2403 in Figure 2d and other related parts of the embodiment involved in Figure 2d, which will not be repeated here.

步骤S3403:获取第七信息。Step S3403: Obtain the seventh information.

在一些实施例中,步骤S3403的可选实现方式可以参见图2d的步骤S2405的可选实现方式、及图2d所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S3403 can refer to the optional implementation of step S2405 in Figure 2d and other related parts of the embodiment involved in Figure 2d, which will not be repeated here.

在一些实施例中,终端101接收由网络设备102发送的第七信息,但不限于此,也可以接收由其他主体发送的第七信息。In some embodiments, the terminal 101 receives the seventh information sent by the network device 102, but is not limited thereto, and may also receive the seventh information sent by other entities.

在一些实施例中,终端101获取由协议规定的第七信息。In some embodiments, terminal 101 obtains seventh information specified by the protocol.

在一些实施例中,终端101从高层(upper layer(s))获取第七信息。In some embodiments, terminal 101 obtains the seventh information from an upper layer(s).

在一些实施例中,终端101进行处理从而得到第七信息。In some embodiments, terminal 101 performs processing to obtain the seventh information.

在一些实施例中,步骤S3403被省略,终端101自主实现第七信息所指示的功能,或上述功能为缺省或默认。In some embodiments, step S3403 is omitted, and the terminal 101 autonomously implements the function indicated by the seventh information, or the above function is default or by default.

本公开实施例所涉及的信息传输方法可以包括步骤S3401至步骤S3403中的至少一者。例如,步骤S3401可以作为独立实施例来实施,步骤S3402可以作为独立实施例来实施,步骤S3403可以作为独立实施例来实施,步骤S3401结合步骤3403作为独立实施例来实施但不止于此。The information transmission method involved in the embodiments of the present disclosure may include at least one of steps S3401 to S3403. For example, step S3401 may be implemented as an independent embodiment, step S3402 may be implemented as an independent embodiment, step S3403 may be implemented as an independent embodiment, and step S3401 may be implemented in combination with step 3403 as an independent embodiment, but not limited thereto.

图3e是根据本公开实施例示出的一种信息传输方法的流程示意图。如图3e所示,本公开实施例涉及信息传输方法,由终端101执行,上述方法包括:FIG3e is a flow chart of an information transmission method according to an embodiment of the present disclosure. As shown in FIG3e, the present disclosure embodiment relates to an information transmission method, which is executed by terminal 101, and the method includes:

步骤S3501:确定候选模型。Step S3501: Determine candidate models.

在一些实施例中,步骤S3501的可选实现方式可以参见图2e的步骤S2501的可选实现方式、及图2e所涉及的实施例中其他关联部分,此处不再赘述。 In some embodiments, the optional implementation of step S3501 can refer to the optional implementation of step S2501 in Figure 2e and other related parts of the embodiment involved in Figure 2e, which will not be repeated here.

步骤S3502:发送第一信息。Step S3502: Send the first information.

在一些实施例中,步骤S3502的可选实现方式可以参见图2e的步骤S2502的可选实现方式、及图2e所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S3502 can refer to the optional implementation of step S2502 in Figure 2e and other related parts of the embodiment involved in Figure 2e, which will not be repeated here.

步骤S3503:获取第五信息。Step S3503: Obtain the fifth information.

在一些实施例中,步骤S3503的可选实现方式可以参见图2e的步骤S2504的可选实现方式、及图2e所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S3503 can refer to the optional implementation of step S2504 in Figure 2e and other related parts of the embodiment involved in Figure 2e, which will not be repeated here.

在一些实施例中,终端101接收由网络设备102发送的第五信息,但不限于此,也可以接收由其他主体发送的第五信息。In some embodiments, the terminal 101 receives the fifth information sent by the network device 102, but is not limited thereto, and may also receive the fifth information sent by other entities.

在一些实施例中,终端101获取由协议规定的第五信息。In some embodiments, terminal 101 obtains fifth information specified by the protocol.

在一些实施例中,终端101从高层(upper layer(s))获取第五信息。In some embodiments, terminal 101 obtains the fifth information from an upper layer(s).

在一些实施例中,终端101进行处理从而得到第五信息。In some embodiments, terminal 101 performs processing to obtain the fifth information.

在一些实施例中,步骤S3503被省略,终端101自主实现第五信息所指示的功能,或上述功能为缺省或默认。In some embodiments, step S3503 is omitted, and the terminal 101 autonomously implements the function indicated by the fifth information, or the above function is default or acquiescent.

本公开实施例所涉及的信息传输方法可以包括步骤S3501至步骤S3503中的至少一者。例如,步骤S3501可以作为独立实施例来实施,步骤S3502可以作为独立实施例来实施,步骤S3503可以作为独立实施例来实施,步骤S3501至步骤3503可以结合作为独立实施例来实施但不止于此。The information transmission method involved in the embodiment of the present disclosure may include at least one of step S3501 to step S3503. For example, step S3501 can be implemented as an independent embodiment, step S3502 can be implemented as an independent embodiment, step S3503 can be implemented as an independent embodiment, and steps S3501 to 3503 can be implemented in combination as independent embodiments, but not limited thereto.

图3f是根据本公开实施例示出的一种信息传输方法的流程示意图。如图3f所示,本公开实施例涉及信息传输方法,由终端101执行,上述方法包括:FIG3f is a flow chart of an information transmission method according to an embodiment of the present disclosure. As shown in FIG3f, the present disclosure embodiment relates to an information transmission method, which is executed by the terminal 101, and the method includes:

步骤S3601:发送第一信息。Step S3601: Send the first information.

在一些实施例中,所述第一信息用于确定对信道状态信息CSI进行压缩传输的目标模型,所述模型包括第一模型和第二模型中至少之一。In some embodiments, the first information is used to determine a target model for compressing and transmitting channel state information CSI, and the model includes at least one of a first model and a second model.

在一些实施例中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于所述网络设备端并用于对压缩的CSI进行解压缩。In some embodiments, the first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device and is used to decompress the compressed CSI.

在一些实施例中,所述第一模型对应于所述第二模型。In some embodiments, the first model corresponds to the second model.

在一些实施例中,所述方法还包括:In some embodiments, the method further comprises:

根据第二信息,根据第二信息,从M个模型中确定N个候选模型,其中,所述N个候选模型用于确定所述目标模型,且N为正整数,且1≤N≤M。According to the second information, N candidate models are determined from the M models, wherein the N candidate models are used to determine the target model, and N is a positive integer, and 1≤N≤M.

在一些实施例中,所述第二信息包括以下至少一项:In some embodiments, the second information includes at least one of the following:

候选模型参数的指示信息;Indicative information of candidate model parameters;

用于确定候选模型的辅助信息,所述辅助信息用于指示所述第二模型的输出信息;Auxiliary information for determining a candidate model, wherein the auxiliary information is used to indicate output information of the second model;

所述终端当前状态的指示信息。Indicative information of the current status of the terminal.

在一些实施例中,所述方法还包括:In some embodiments, the method further comprises:

从所述N个候选模型中确定所述目标模型;其中,所述第一信息用于指示所述终端确定的所述目标模型。Determine the target model from the N candidate models; wherein the first information is used to indicate the target model determined by the terminal.

在一些实施例中,所述方法还包括:In some embodiments, the method further comprises:

发送指示所述终端当前状态的第三信息,所述第三信息用于所述网络设备确定是否允许所述终端从所述N个候选模型中确定目标模型;Sending third information indicating a current state of the terminal, wherein the third information is used by the network device to determine whether to allow the terminal to determine a target model from the N candidate models;

接收所述网络设备发送的第四信息,所述第四信息用于指示是否允许所述终端从所述N个候选模型中确定目标模型。Receive fourth information sent by the network device, where the fourth information is used to indicate whether the terminal is allowed to determine a target model from the N candidate models.

在一些实施例中,所述第一信息用于指示所述N个候选模型,其中,所述目标模型是从所述N个候选模型中确定的。In some embodiments, the first information is used to indicate the N candidate models, wherein the target model is determined from the N candidate models.

在一些实施例中,所述第一信息用于所述网络设备从所述N个候选模型确定所述目标模型。In some embodiments, the first information is used by the network device to determine the target model from the N candidate models.

在一些实施例中,所述方法还包括:In some embodiments, the method further comprises:

接收第五信息,其中,所述第五信息用于指示以下一项:Receive fifth information, where the fifth information is used to indicate one of the following:

所述网络设备从所述N个候选模型确定的所述目标模型;The target model determined by the network device from the N candidate models;

所述终端发送CSI的方式,其中,所述第五信息是所述网络设备未确定所述目标模型发送的。The terminal sends CSI in a manner, wherein the fifth information is sent by the network device without determining the target model.

在一些实施例中,所述第一信息用于所述网络设备从M个模型中确定所述目标模型;或者In some embodiments, the first information is used by the network device to determine the target model from M models; or

所述第一信息为第一值时,指示由所述网络设备确定所述目标模型。When the first information is a first value, it indicates that the target model is determined by the network device.

在一些实施例中,所述第一信息为第二值时,指示不允许所述网络设备确定所述目标模型。In some embodiments, when the first information is a second value, it indicates that the network device is not allowed to determine the target model.

在一些实施例中,所述方法还包括: In some embodiments, the method further comprises:

接收所述网络设备发送的第六信息,其中,receiving sixth information sent by the network device, wherein:

所述第一信息用于所述网络设备从M个模型中确定所述目标模型,所述第六信息用于指示所述目标模型;或者The first information is used by the network device to determine the target model from M models, and the sixth information is used to indicate the target model; or

所述第一信息为所述第一值时,所述第六信息用于指示所述网络设备从所述M个模型中确定的N个候选模型。When the first information is the first value, the sixth information is used to indicate the N candidate models determined by the network device from the M models.

在一些实施例中,所述方法还包括:In some embodiments, the method further comprises:

所述第一信息为所述第一值时,接收所述网络设备发送的第七信息,其中,所述第七信息用于指示以下一项:When the first information is the first value, seventh information sent by the network device is received, wherein the seventh information is used to indicate one of the following:

所述网络设备从所述N个候选模型确定的目标模型;The network device determines a target model from the N candidate models;

所述终端进行回退操作,其中,所述第七信息是所述网络设备确定不具有所述候选模型、或者所述网络设备不被允许从所述N个候选模型确定目标模型时发送的。The terminal performs a fallback operation, wherein the seventh information is sent when the network device determines that it does not have the candidate model, or the network device is not allowed to determine the target model from the N candidate models.

在一些实施例中,所述第一信息指示所述网络设备从M个模型中确定所述目标模型采用的模型参数,其中,所述模型参数包括以下至少一项:In some embodiments, the first information instructs the network device to determine a model parameter used by the target model from the M models, wherein the model parameter includes at least one of the following:

所述终端确定的信道特征向量;A channel feature vector determined by the terminal;

所述M个模型对所述特征向量进行压缩后得到的压缩的CSI;A compressed CSI obtained by compressing the feature vector by the M models;

所述M个模型分别对应的模型标识。The M models respectively correspond to model identifiers.

图4a是根据本公开实施例示出的一种信息传输方法的流程示意图。如图4a所示,本公开实施例涉及信息传输方法,由网络设备102执行,上述方法包括:FIG4a is a flow chart of an information transmission method according to an embodiment of the present disclosure. As shown in FIG4a, the present disclosure embodiment relates to an information transmission method, which is executed by a network device 102, and the method includes:

步骤S4101:获取第一信息。Step S4101: Obtain first information.

在一些实施例中,步骤S4101的可选实现方式可以参见图2a的步骤S2103的可选实现方式、及图2a所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S4101 can refer to the optional implementation of step S2103 in Figure 2a and other related parts of the embodiment involved in Figure 2a, which will not be repeated here.

在一些实施例中,网络设备102接收由终端101发送的第一信息,但不限于此,也可以接收由其他主体发送的第一信息。In some embodiments, the network device 102 receives the first information sent by the terminal 101, but is not limited thereto and may also receive the first information sent by other entities.

在一些实施例中,网络设备102获取由协议规定的第一信息。In some embodiments, the network device 102 obtains first information specified by the protocol.

在一些实施例中,网络设备102从高层(upper layer(s))获取第一信息。In some embodiments, the network device 102 obtains the first information from an upper layer(s).

在一些实施例中,网络设备102进行处理从而得到第一信息。In some embodiments, the network device 102 performs processing to obtain the first information.

在一些实施例中,步骤S4101被省略,网络设备102自主实现第一信息所指示的功能,或上述功能为缺省或默认。In some embodiments, step S4101 is omitted, and the network device 102 autonomously implements the function indicated by the first information, or the above function is default or acquiescent.

图4b是根据本公开实施例示出的一种信息传输方法的流程示意图。如图4b所示,本公开实施例涉及信息传输方法,由网络设备102执行,上述方法包括:FIG4b is a flow chart of an information transmission method according to an embodiment of the present disclosure. As shown in FIG4b, the present disclosure embodiment relates to an information transmission method, which is executed by the network device 102, and the method includes:

步骤S4201:获取第三信息。Step S4201: Obtain third information.

在一些实施例中,步骤S4201的可选实现方式可以参见图2b的步骤S2202的可选实现方式、及图2b所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S4201 can refer to the optional implementation of step S2202 in Figure 2b and other related parts of the embodiment involved in Figure 2b, which will not be repeated here.

在一些实施例中,网络设备102接收由终端101发送的第三信息,但不限于此,也可以接收由其他主体发送的第三信息。In some embodiments, the network device 102 receives the third information sent by the terminal 101, but is not limited thereto and may also receive the third information sent by other entities.

在一些实施例中,网络设备102获取由协议规定的第三信息。In some embodiments, the network device 102 obtains third information specified by the protocol.

在一些实施例中,网络设备102从高层(upper layer(s))获取第三信息。In some embodiments, the network device 102 obtains the third information from an upper layer(s).

在一些实施例中,网络设备102进行处理从而得到第三信息。In some embodiments, the network device 102 performs processing to obtain the third information.

在一些实施例中,步骤S4201被省略,网络设备102自主实现第三信息所指示的功能,或上述功能为缺省或默认。In some embodiments, step S4201 is omitted, and the network device 102 autonomously implements the function indicated by the third information, or the above function is default or default.

步骤S4202:发送第四信息。Step S4202: Send the fourth information.

在一些实施例中,步骤S4202的可选实现方式可以参见图2b的步骤S2203的可选实现方式、及图2b所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S4202 can refer to the optional implementation of step S2203 in Figure 2b and other related parts of the embodiment involved in Figure 2b, which will not be repeated here.

步骤S4203:获取第一信息。Step S4203: Obtain first information.

在一些实施例中,步骤S4203的可选实现方式可以参见图2b的步骤S2205的可选实现方式、及图2b所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S4203 can refer to the optional implementation of step S2205 in Figure 2b and other related parts of the embodiment involved in Figure 2b, which will not be repeated here.

在一些实施例中,网络设备102接收由终端101发送的第一信息,但不限于此,也可以接收由其他主体发送的第一信息。In some embodiments, the network device 102 receives the first information sent by the terminal 101, but is not limited thereto and may also receive the first information sent by other entities.

在一些实施例中,网络设备102获取由协议规定的第一信息。 In some embodiments, the network device 102 obtains first information specified by the protocol.

在一些实施例中,网络设备102从高层(upper layer(s))获取第一信息。In some embodiments, the network device 102 obtains the first information from an upper layer(s).

在一些实施例中,网络设备102进行处理从而得到第一信息。In some embodiments, the network device 102 performs processing to obtain the first information.

在一些实施例中,步骤S4203被省略,网络设备102自主实现第一信息所指示的功能,或上述功能为缺省或默认。In some embodiments, step S4203 is omitted, and the network device 102 autonomously implements the function indicated by the first information, or the above function is default or acquiescent.

本公开实施例所涉及的信息传输方法可以包括步骤S4201至步骤S4203中的至少一者。例如,步骤S4201可以作为独立实施例来实施,步骤S4202可以作为独立实施例来实施,步骤S4203可以作为独立实施例来实施,步骤4201至步骤4203可以结合作为独立实施例来实施但不止于此。The information transmission method involved in the embodiments of the present disclosure may include at least one of step S4201 to step S4203. For example, step S4201 may be implemented as an independent embodiment, step S4202 may be implemented as an independent embodiment, step S4203 may be implemented as an independent embodiment, and steps 4201 to 4203 may be implemented in combination as independent embodiments, but not limited thereto.

图4c是根据本公开实施例示出的一种信息传输方法的流程示意图。如图4c所示,本公开实施例涉及信息传输方法,由网络设备102执行,上述方法包括:FIG4c is a flow chart of an information transmission method according to an embodiment of the present disclosure. As shown in FIG4c, the present disclosure embodiment relates to an information transmission method, which is executed by the network device 102, and the method includes:

步骤S4301:获取第一信息。Step S4301: Obtain first information.

在一些实施例中,步骤S4301的可选实现方式可以参见图2c的步骤S2301的可选实现方式、及图2c所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S4301 can refer to the optional implementation of step S2301 in Figure 2c and other related parts of the embodiment involved in Figure 2c, which will not be repeated here.

在一些实施例中,网络设备102接收由终端101发送的第一信息,但不限于此,也可以接收由其他主体发送的第一信息。In some embodiments, the network device 102 receives the first information sent by the terminal 101, but is not limited thereto and may also receive the first information sent by other entities.

在一些实施例中,网络设备102获取由协议规定的第一信息。In some embodiments, the network device 102 obtains first information specified by the protocol.

在一些实施例中,网络设备102从高层(upper layer(s))获取第一信息。在一些实施例中,网络设备102进行处理从而得到第一信息。In some embodiments, the network device 102 obtains the first information from an upper layer(s). In some embodiments, the network device 102 performs processing to obtain the first information.

在一些实施例中,步骤S4301被省略,网络设备102自主实现第一信息所指示的功能,或上述功能为缺省或默认。In some embodiments, step S4301 is omitted, and the network device 102 autonomously implements the function indicated by the first information, or the above function is default or acquiescent.

步骤S4302:确定目标模型。Step S4302: Determine the target model.

在一些实施例中,步骤S4302的可选实现方式可以参见图2c的步骤S2302的可选实现方式、及图2c所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S4302 can refer to the optional implementation of step S2302 in Figure 2c and other related parts of the embodiment involved in Figure 2c, which will not be repeated here.

步骤S4303:发送第六信息。Step S4303: Send the sixth information.

在一些实施例中,步骤S43032的可选实现方式可以参见图2c的步骤S2303的可选实现方式、及图2c所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S43032 can refer to the optional implementation of step S2303 in Figure 2c and other related parts of the embodiment involved in Figure 2c, which will not be repeated here.

本公开实施例所涉及的信息传输方法可以包括步骤S4301至步骤S4303中的至少一者。例如,步骤S4301可以作为独立实施例来实施,步骤S4302可以作为独立实施例来实施,步骤S4303可以作为独立实施例来实施但不限于此。The information transmission method involved in the embodiment of the present disclosure may include at least one of step S4301 to step S4303. For example, step S4301 may be implemented as an independent embodiment, step S4302 may be implemented as an independent embodiment, and step S4303 may be implemented as an independent embodiment but is not limited thereto.

图4d是根据本公开实施例示出的一种信息传输方法的流程示意图。如图4d所示,本公开实施例涉及信息传输方法,由网络设备102执行,上述方法包括:FIG4d is a flow chart of an information transmission method according to an embodiment of the present disclosure. As shown in FIG4d, the present disclosure embodiment relates to an information transmission method, which is executed by the network device 102, and the method includes:

步骤S4401:确定候选模型。Step S4401: Determine candidate models.

在一些实施例中,步骤S4401的可选实现方式可以参见图2d的步骤S2401的可选实现方式、及图2d所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S4401 can refer to the optional implementation of step S2401 in Figure 2d and other related parts of the embodiment involved in Figure 2d, which will not be repeated here.

步骤S4402:发送第六信息。Step S4402: Send the sixth message.

在一些实施例中,步骤S4402的可选实现方式可以参见图2d的步骤S2402的可选实现方式、及图2d所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S4402 can refer to the optional implementation of step S2402 in Figure 2d and other related parts of the embodiment involved in Figure 2d, which will not be repeated here.

步骤S4403:获取第一信息。Step S4403: Obtain first information.

在一些实施例中,步骤S4403的可选实现方式可以参见图2d的步骤S2403的可选实现方式、及图2d所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S4403 can refer to the optional implementation of step S2403 in Figure 2d and other related parts of the embodiment involved in Figure 2d, which will not be repeated here.

在一些实施例中,网络设备102接收由终端101发送的第一信息,但不限于此,也可以接收由其他主体发送的第一信息。In some embodiments, the network device 102 receives the first information sent by the terminal 101, but is not limited thereto and may also receive the first information sent by other entities.

在一些实施例中,网络设备102获取由协议规定的第一信息。In some embodiments, the network device 102 obtains first information specified by the protocol.

在一些实施例中,网络设备102从高层(upper layer(s))获取第一信息。In some embodiments, the network device 102 obtains the first information from an upper layer(s).

在一些实施例中,网络设备102进行处理从而得到第一信息。In some embodiments, the network device 102 performs processing to obtain the first information.

在一些实施例中,步骤S4403被省略,网络设备102自主实现第一信息所指示的功能,或上述功能为缺省或默认。In some embodiments, step S4403 is omitted, and the network device 102 autonomously implements the function indicated by the first information, or the above function is default or acquiescent.

步骤S4404:确定目标模型。Step S4404: Determine the target model.

在一些实施例中,步骤S4404的可选实现方式可以参见图2d的步骤S2404的可选实现方式、及图2d所涉及的实施例中其他关联部分,此处不再赘述。 In some embodiments, the optional implementation of step S4404 can refer to the optional implementation of step S2404 in Figure 2d and other related parts of the embodiment involved in Figure 2d, which will not be repeated here.

步骤S4405:发送第七信息。Step S4405: Send the seventh message.

在一些实施例中,步骤S4405的可选实现方式可以参见图2d的步骤S2405的可选实现方式、及图2d所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S4405 can refer to the optional implementation of step S2405 in Figure 2d and other related parts of the embodiment involved in Figure 2d, which will not be repeated here.

本公开实施例所涉及的信息传输方法可以包括步骤S4401至步骤S4405中的至少一者。例如,步骤S4401可以作为独立实施例来实施,步骤S4402可以作为独立实施例来实施,步骤S4403可以作为独立实施例来实施,步骤S4404可以作为独立实施例来实施,步骤S4405可以作为独立实施例来实施,步骤S4401结合步骤4405作为独立实施例来实施,步骤S4401结合步骤4405作为独立实施例来实施,步骤S4401、步骤S4402、步骤S4404和步骤4405可以结合作为独立实施例来实施但不止于此。The information transmission method involved in the embodiments of the present disclosure may include at least one of steps S4401 to S4405. For example, step S4401 may be implemented as an independent embodiment, step S4402 may be implemented as an independent embodiment, step S4403 may be implemented as an independent embodiment, step S4404 may be implemented as an independent embodiment, step S4405 may be implemented as an independent embodiment, step S4401 may be implemented in combination with step 4405 as an independent embodiment, step S4401 may be implemented in combination with step 4405 as an independent embodiment, and step S4401, step S4402, step S4404 and step 4405 may be implemented in combination as independent embodiments, but not limited thereto.

图4e是根据本公开实施例示出的一种信息传输方法的流程示意图。如图4e所示,本公开实施例涉及信息传输方法,由网络设备102执行,上述方法包括:FIG4e is a flow chart of an information transmission method according to an embodiment of the present disclosure. As shown in FIG4e, the present disclosure embodiment relates to an information transmission method, which is executed by the network device 102, and the method includes:

步骤S4501:获取第一信息。Step S4501: Obtain first information.

在一些实施例中,步骤S4501的可选实现方式可以参见图2e的步骤S2502的可选实现方式、及图2e所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S4501 can refer to the optional implementation of step S2502 in Figure 2e and other related parts of the embodiment involved in Figure 2e, which will not be repeated here.

在一些实施例中,网络设备102接收由终端101发送的第一信息,但不限于此,也可以接收由其他主体发送的第一信息。In some embodiments, the network device 102 receives the first information sent by the terminal 101, but is not limited thereto and may also receive the first information sent by other entities.

在一些实施例中,网络设备102获取由协议规定的第一信息。In some embodiments, the network device 102 obtains first information specified by the protocol.

在一些实施例中,网络设备102从高层(upper layer(s))获取第一信息。In some embodiments, the network device 102 obtains the first information from an upper layer(s).

在一些实施例中,网络设备102进行处理从而得到第一信息。In some embodiments, the network device 102 performs processing to obtain the first information.

在一些实施例中,步骤S4501被省略,网络设备102自主实现第一信息所指示的功能,或上述功能为缺省或默认。In some embodiments, step S4501 is omitted, and the network device 102 autonomously implements the function indicated by the first information, or the above function is default or acquiescent.

步骤S4502:确定目标模型。Step S4502: Determine the target model.

在一些实施例中,步骤S4502的可选实现方式可以参见图2e的步骤S2503的可选实现方式、及图2e所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S4502 can refer to the optional implementation of step S2503 in Figure 2e and other related parts of the embodiment involved in Figure 2e, which will not be repeated here.

步骤S4503:发送第五信息。Step S4503: Send the fifth information.

在一些实施例中,步骤S4503的可选实现方式可以参见图2e的步骤S2504的可选实现方式、及图2e所涉及的实施例中其他关联部分,此处不再赘述。In some embodiments, the optional implementation of step S4503 can refer to the optional implementation of step S2504 in Figure 2e and other related parts of the embodiment involved in Figure 2e, which will not be repeated here.

本公开实施例所涉及的信息传输方法可以包括步骤S4501至步骤S4503中的至少一者。例如,步骤S4501可以作为独立实施例来实施,步骤S4502可以作为独立实施例来实施,步骤S4503可以作为独立实施例来实施,步骤S4501至步骤4503可以结合作为独立实施例来实施但不止于此。The information transmission method involved in the embodiments of the present disclosure may include at least one of step S4501 to step S4503. For example, step S4501 may be implemented as an independent embodiment, step S4502 may be implemented as an independent embodiment, step S4503 may be implemented as an independent embodiment, and steps S4501 to 4503 may be implemented in combination as independent embodiments, but not limited thereto.

图5是根据本公开实施例示出的一种信息传输方法的流程示意图。如图5所示,本公开实施例涉及信息传输方法,由网络设备102执行,上述方法包括:FIG5 is a flow chart of an information transmission method according to an embodiment of the present disclosure. As shown in FIG5, the present disclosure embodiment relates to an information transmission method, which is executed by a network device 102, and the method includes:

步骤S5101:接收第一信息。Step S5101: Receive first information.

在一些实施例中,所述第一信息用于确定对信道状态信息CSI进行压缩传输的目标模型,所述模型包括第一模型和第二模型中至少之一。In some embodiments, the first information is used to determine a target model for compressing and transmitting channel state information CSI, and the model includes at least one of a first model and a second model.

在一些实施例中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于所述网络设备端并用于对压缩的CSI进行解压缩。In some embodiments, the first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device and is used to decompress the compressed CSI.

在一些实施例中,所述第一模型对应于所述第二模型。In some embodiments, the first model corresponds to the second model.

在一些实施例中,所述方法还包括:In some embodiments, the method further comprises:

发送第二信息,其中,所述第二信息用于所述终端从M个模型中确定N个候选模型,其中,所述N个候选模型用于确定所述目标模型,且N为正整数,且1≤N≤M。Sending second information, wherein the second information is used by the terminal to determine N candidate models from M models, wherein the N candidate models are used to determine the target model, and N is a positive integer, and 1≤N≤M.

在一些实施例中,所述第二信息包括以下至少一项:In some embodiments, the second information includes at least one of the following:

候选模型参数的指示信息;Indicative information of candidate model parameters;

用于确定候选模型的辅助信息,所述辅助信息用于指示所述第二模型的输出信息。Auxiliary information used to determine the candidate model, where the auxiliary information is used to indicate output information of the second model.

在一些实施例中,所述N个候选模型用于所述终端确定所述目标模型;其中,所述第一信息用于指示所述终端确定的所述目标模型。In some embodiments, the N candidate models are used by the terminal to determine the target model; wherein the first information is used to indicate the target model determined by the terminal.

在一些实施例中,所述方法还包括:In some embodiments, the method further comprises:

接收指示所述终端当前状态的第三信息,所述第三信息用于所述网络设备确定是否允许所述终端从所述N个候选模型中确定目标模型; receiving third information indicating a current state of the terminal, wherein the third information is used by the network device to determine whether to allow the terminal to determine a target model from the N candidate models;

发送第四信息,所述第四信息用于指示是否允许所述终端从所述N个候选模型中确定目标模型。Send fourth information, where the fourth information is used to indicate whether the terminal is allowed to determine the target model from the N candidate models.

在一些实施例中,所述第一信息用于指示所述N个候选模型,其中,所述目标模型是从所述N个候选模型中确定的。In some embodiments, the first information is used to indicate the N candidate models, wherein the target model is determined from the N candidate models.

在一些实施例中,所述方法还包括:In some embodiments, the method further comprises:

从所述N个候选模型确定所述目标模型。The target model is determined from the N candidate models.

在一些实施例中,所述方法还包括:In some embodiments, the method further comprises:

发送第五信息,其中,所述第五信息用于指示以下一项:Sending fifth information, wherein the fifth information is used to indicate one of the following:

所述网络设备从所述N个候选模型确定的所述目标模型;The target model determined by the network device from the N candidate models;

所述终端发送CSI的方式,其中,所述第五信息是所述网络设备未确定所述目标模型发送的。The terminal sends CSI in a manner, wherein the fifth information is sent by the network device without determining the target model.

在一些实施例中,所述第一信息用于所述网络设备从M个模型中确定所述目标模型;或者In some embodiments, the first information is used by the network device to determine the target model from M models; or

所述第一信息为第一值时,指示由所述网络设备确定所述目标模型。When the first information is a first value, it indicates that the target model is determined by the network device.

在一些实施例中,所述第一信息为第二值时,指示不允许所述网络设备确定所述目标模型。In some embodiments, when the first information is a second value, it indicates that the network device is not allowed to determine the target model.

在一些实施例中,所述方法还包括:In some embodiments, the method further comprises:

发送第六信息,其中,Sending a sixth message, wherein

所述第一信息用于所述网络设备从M个模型中确定所述目标模型,所述第六信息用于指示所述目标模型;或者The first information is used by the network device to determine the target model from M models, and the sixth information is used to indicate the target model; or

所述第一信息为所述第一值时,所述第六信息用于指示所述网络设备从所述M个模型中确定的N个候选模型。When the first information is the first value, the sixth information is used to indicate the N candidate models determined by the network device from the M models.

在一些实施例中,所述方法还包括:In some embodiments, the method further comprises:

所述第一信息为所述第一值时,发送第七信息,其中,所述第七信息用于指示以下一项:When the first information is the first value, seventh information is sent, where the seventh information is used to indicate one of the following:

所述网络设备从所述N个候选模型确定的所述目标模型;The target model determined by the network device from the N candidate models;

所述终端进行回退操作,其中,所述第七信息是所述网络设备确定不具有所述候选模型、或者所述网络设备不被允许从所述N个候选模型确定目标模型时发送的。The terminal performs a fallback operation, wherein the seventh information is sent when the network device determines that it does not have the candidate model, or the network device is not allowed to determine the target model from the N candidate models.

在一些实施例中,所述第一信息指示所述网络设备从M个模型中确定所述目标模型采用的模型参数,其中,所述模型参数包括以下至少一项:In some embodiments, the first information instructs the network device to determine a model parameter used by the target model from the M models, wherein the model parameter includes at least one of the following:

所述终端确定的信道特征向量;A channel feature vector determined by the terminal;

所述M个模型对所述特征向量进行压缩后得到的压缩的CSI;A compressed CSI obtained by compressing the feature vector by the M models;

所述M个模型分别对应的模型标识。The M models respectively correspond to model identifiers.

图6是根据本公开实施例示出的一种信息传输方法的交互示意图。如图6所示,本公开实施例涉及信息传输方法,用于通信系统100,方法包括以下步骤之一:FIG6 is an interactive schematic diagram of an information transmission method according to an embodiment of the present disclosure. As shown in FIG6 , the present disclosure embodiment relates to an information transmission method, which is used in a communication system 100, and the method includes one of the following steps:

步骤S6101:终端向网络设备发送第一信息。Step S6101: The terminal sends first information to the network device.

在一些实施例中,所述第一信息用于确定对信道状态信息CSI进行压缩传输的目标模型,所述模型包括第一模型和第二模型中至少之一;In some embodiments, the first information is used to determine a target model for compressing and transmitting the channel state information CSI, the model comprising at least one of a first model and a second model;

其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于所述网络设备端并用于对压缩的CSI进行解压缩;The first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device and is used to decompress the compressed CSI;

所述第一模型对应于所述第二模型。The first model corresponds to the second model.

步骤S6101的可选实现方式可以参见图2a的步骤S2103、图2b的步骤S2205、图2c的步骤S2301、图2d的步骤S2403、图2e的步骤S2502、图3a的步骤S3103、图3b的步骤S3205、图3c的步骤S3301、图3d的步骤S3401、图3e的步骤S3502、图3f的步骤S3601、图4a的步骤S4101、图4b的步骤S4203、图4c的步骤S4301、图4d的步骤S4403、图4e的步骤S4501、图5的步骤S5101、图6的步骤S6101,及图2a、图2b、图2c、图2d、图2e、图3a、图3b、图3c、图3d、图3e、图3f、图4a、图4b、图4c、图4d、图4e、图5、图6所涉及的实施例中其他关联部分,此处不再赘述。For optional implementations of step S6101, see step S2103 of FIG. 2a, step S2205 of FIG. 2b, step S2301 of FIG. 2c, step S2403 of FIG. 2d, step S2502 of FIG. 2e, step S3103 of FIG. 3a, step S3205 of FIG. 3b, step S3301 of FIG. 3c, step S3401 of FIG. 3d, step S3502 of FIG. 3e, step S3601 of FIG. 3f, step S4101 of FIG. 4a, Step S4203 of Figure 4b, step S4301 of Figure 4c, step S4403 of Figure 4d, step S4501 of Figure 4e, step S5101 of Figure 5, step S6101 of Figure 6, and other related parts of the embodiments involved in Figures 2a, 2b, 2c, 2d, 2e, 3a, 3b, 3c, 3d, 3e, 3f, 4a, 4b, 4c, 4d, 4e, 5, and 6 will not be repeated here.

在一些实施例中,上述方法可以包括上述通信系统侧、终端侧、网络设备侧等实施例的方法,此处不再赘述。In some embodiments, the above method may include the methods of the above-mentioned communication system side, terminal side, network device side, etc., which will not be repeated here.

以下结合上述任意实施例提供些具体示例:The following provides some specific examples in combination with any of the above embodiments:

假设在UE或网络部署了M>1个能用于CSI压缩的模型,UE通过能力上报指示可支持的用于CSI压缩的AI模型。下述中所述的AI模型可以UE(如终端)侧或NW(如网络设备)侧的部分模型,也可以是一个UE侧和NW侧的部分模型对。下述给出了选择模型的实施方式:Assuming that M>1 models that can be used for CSI compression are deployed in the UE or the network, the UE indicates the supported AI models for CSI compression through capability reporting. The AI model described below can be a partial model on the UE (such as a terminal) side or the NW (such as a network device) side, or a partial model pair on the UE side and the NW side. The following gives an implementation method for selecting a model:

实施方式1:UE侧选择模型。 Implementation method 1: UE side selects the model.

方案1:(UE在初始接入网络后,首次进行基于M个模型进行选择):Solution 1: (After the UE initially accesses the network, it makes the first selection based on M models):

步骤1:UE侧根据网络配置的参数信息或其它辅助信息从M个模型中确定1≤N≤M个模型。如根据网络配置的场景信息确定该场景下的N个模型。确定N个模型的方式:Step 1: The UE side determines 1≤N≤M models from M models according to the parameter information or other auxiliary information configured by the network. For example, the N models in the scenario are determined according to the scenario information configured by the network. The method for determining the N models is as follows:

方式1:根据NW配置参数或辅助信息,UE和NW均可确定N个模型,如确定某一户外(outdoor)场景下只有这N个模型。Method 1: According to NW configuration parameters or auxiliary information, both the UE and the NW can determine N models, such as determining that there are only these N models in a certain outdoor scene.

方式2:UE通过上报或一个大小为M的bitmap指示UE支持或可用的N个模型。Method 2: UE reports Or a bitmap of size M indicates N models supported or available by the UE.

步骤2:UE再从N个模型中选择1个模型,并把所选的模型指示信息发送给NW,或者UE直接把所选模型的ID发送给。指示所选的模型开销为或者可选地,NW向UE发送这N个模型中NW part模型的输出信息。Step 2: UE selects one model from N models and sends the selected model indication information to NW, or UE directly sends the ID of the selected model to NW. The overhead of indicating the selected model is or Optionally, the NW sends output information of the NW part model in the N models to the UE.

方案2:(在UE运行模型一段时间后,因UE电量等硬件条件限制,复杂度高的模型不再支持相应地所有N个模型,N是方案1中步骤1所述确定的N个模型。):Solution 2: (After the UE runs the model for a period of time, due to hardware conditions such as UE power, the model with high complexity no longer supports all N models accordingly, where N is the N models determined in step 1 of solution 1.)

Alt1-1:UE主动向NW发送信令通知可用的模型个数K和从K个模型中选择1个模型的指示信息。或者,UE根据接收的1个或N个NW part模型输出的信息确定从K个模型中选择1个模型。UE可通过或者大小为N的bitmap指示候选可用的K个模型,其中用于确定K的值,是用于指示从N中选择了哪K个模型,然后UE再通过指示从K个模型中选择的其中1个model,或者UE直接把所选模型的ID指示给NW。Alt1-1: The UE actively sends a signaling to the NW to notify the number of available models K and the indication information of selecting one model from the K models. Alternatively, the UE determines to select one model from the K models based on the information output by one or N NW part models received. The UE can Or a bitmap of size N indicates K candidate models, where To determine the value of K, It is used to indicate which K models are selected from N, and then the UE passes Indicate one model selected from K models, or the UE directly indicates the ID of the selected model to the NW.

可选地,UE向NW发送信令指示当前所用的模型已不可用,让NW对当前的模型去激活,执行fallback操作或者NW再重新指示UE选择模型。Optionally, the UE sends a signaling to the NW to indicate that the currently used model is no longer available, so that the NW deactivates the current model and performs a fallback operation, or the NW re-instructs the UE to select a model.

Alt1-2:UE向NW发送UE的状态信息,让NW确定是否允许进行模型选择,并向UE发送模型选择的指示信息。则UE根据NW发送的指示信息确定是否从K个模型中再选择一个模型。若允许UE再选择模型,UE基于Alt1-1方法从K个模型中选择的其中1个model。若接收的信令为指示UE进行fallback操作,则UE不需要再执行model选择。Alt1-2: The UE sends the UE status information to the NW, allowing the NW to determine whether to allow model selection, and sends the model selection indication information to the UE. The UE then determines whether to select another model from the K models based on the indication information sent by the NW. If the UE is allowed to select a model again, the UE selects one of the K models based on the Alt1-1 method. If the received signaling indicates that the UE performs a fallback operation, the UE does not need to perform model selection again.

实施方式2:NW侧选择模型。Implementation method 2: NW side selection model.

实施方式2-1:单步执行模型的选择。Implementation 2-1: Selection of single-step execution model.

NW直接根据接收的UE发送的第一信息从M个模型中选择1个模型。其中所述UE发送的第一信息可以为UE侧根据下行导频确定的信道信息的特征向量、采用M个UE侧的部分模型分别对特征向量进行压缩后的CSI和模型ID相关信息。UE发送的第一信息是UE再接收到NW发送的NW侧选择模型的信令后,向NW发送M个模型的信息。发送第一信息中包含的各内容可以通过一次信令发送,也可通过多次信令发送。一次信令发送时,各模型对应的压缩信息由model ID区分,或按照预定义规则分别发送各模型的压缩信息。NW directly selects one model from M models based on the first information received from the UE. The first information sent by the UE can be the characteristic vector of the channel information determined by the UE side based on the downlink pilot, the CSI and model ID related information after the characteristic vector is compressed using some models of M UE sides. The first information sent by the UE is the information of M models sent to the NW after the UE receives the signaling sent by the NW to select the model on the NW side. The contents contained in the first information can be sent through one signaling or multiple signaling. When the signaling is sent once, the compressed information corresponding to each model is distinguished by the model ID, or the compressed information of each model is sent separately according to predefined rules.

实施方式2-2:分两步选择模型。Implementation method 2-2: Select the model in two steps.

步骤1:NW通过第一信令向UE发送N个候选模型的指示信息,NW可通过一个大小为M的bitmap指示或者指示。Step 1: NW sends indication information of N candidate models to UE through the first signaling. NW can indicate or instruct.

步骤2:NW接收UE发送的模型选择指示信息确定是否选择模型,若UE允许NW选择模型,NW根据接收的UE发送信息从N<M个模型中选择1个模型。若UE不允许NW选择模型,如当前配置下没有可用的模型,NW不做模型选择。Step 2: NW receives the model selection indication information sent by UE to determine whether to select a model. If UE allows NW to select a model, NW selects one model from N<M models according to the received information sent by UE. If UE does not allow NW to select a model, such as there is no available model under the current configuration, NW does not select a model.

步骤3:NW向UE发送第二信令指示NW所选的模型,或者指示UE执行fall back操作。第二信令可以包含为NW所选模型ID信息,或者指示的NW所选模型。Step 3: The NW sends a second signaling to the UE to indicate the model selected by the NW, or to instruct the UE to perform a fall back operation. The second signaling may include the model ID information selected by the NW, or Indicates the NW selected model.

实施方式3:NW和UE侧联合选择模型。Implementation method 3: NW and UE side joint selection model.

步骤1:UE接收网络配置参数信息或其它辅助信息和进行模型选择的指示信息,并根据接收网络配置的参数信息或其它辅助信息从M(N)个模型中确定1≤N(K)≤M(N)个可用模型。如根据网络配置的场景信息确定该场景下的N(K)个模型,或者根据UE的运行状态确定可用的K个模型。UE通过Alt1的方法把确定的N或K个模型指示给NW。Step 1: The UE receives network configuration parameter information or other auxiliary information and indication information for model selection, and determines 1≤N(K)≤M(N) available models from M(N) models according to the received network configuration parameter information or other auxiliary information. For example, the N(K) models in the scenario are determined according to the scenario information of the network configuration, or the available K models are determined according to the operating status of the UE. The UE indicates the determined N or K models to the NW through the method of Alt1.

步骤2:NW接收UE选择N或K个模型的指示信息,以及接收的UE发送信息从N或K个模型中选择1个模型。NW把所选的模型信息或选择模型结果的指示信息发送给UE,所述指示信息与Alt2-2中step3所述类似,即为指示所选的模型或把所选模型ID发送给UE,或者指示信息为NW没有选择到满足要求条件的模型,指示UE执行其它操作,如 采用传统non-AI的CSI反馈。Step 2: NW receives the indication information of UE selecting N or K models, and receives the information sent by UE to select one model from N or K models. NW sends the selected model information or the indication information of the selected model result to UE, and the indication information is similar to that described in step 3 of Alt2-2, that is, or Indicate the selected model or send the selected model ID to the UE, or indicate that the NW has not selected a model that meets the requirements, and instruct the UE to perform other operations, such as Use traditional non-AI CSI feedback.

步骤3:UE根据接收的NW所选模型指示信息确定NW所选的模型或UE的反馈方式。Step 3: The UE determines the model selected by the NW or the feedback mode of the UE according to the received NW selected model indication information.

上述实施例中,模型管理包含基于模型ID的管理和基于功能ID的管理。上述的通过模型ID指示所选择的模型,也可以通过功能ID指示的方式指示所选的模型。即模型ID可以用功能ID替代。In the above embodiment, model management includes management based on model ID and management based on function ID. The above-mentioned indication of the selected model by model ID can also be indicated by function ID indication. That is, model ID can be replaced by function ID.

实施例1(实施方式1):Embodiment 1 (implementation method 1):

在UE和gNB分别部署了M=6个CSI生成部分模型和CSI恢复部分模型。UE和gNB经过模型识别或功能识别后,gNB给UE配置了小区标识用于指示UE当前所处的场景为outdoor场景。根据模型识别结果可知,在该场景下UE和gNB可确定的有N=2个CSI生成部分模型和CSI恢复部分模型。即UE和gNB将经过第一步骤确定候选可用的模型个数N=2。M=6 CSI generation partial models and CSI recovery partial models are deployed on the UE and gNB respectively. After the UE and gNB have undergone model identification or function identification, the gNB configures the UE with a cell identifier to indicate that the UE is currently in an outdoor scenario. According to the model identification results, the UE and gNB can determine N=2 CSI generation partial models and CSI recovery partial models in this scenario. That is, the UE and gNB will determine the number of candidate available models N=2 through the first step.

gNB向UE发送信令指示UE从N=2个模型中选择1个模型,或者UE直接根据下行导频信号所测量的信道进行模型选择。可选地,UE再选择模型时,gNB向UE发送这两个CSI恢复部分模型输出的信息,用于UE对模型的选择。UE将选择的模型通过指示UE所选的模型,或者UE把所选模型的ID发送给gNB。最后gNB再向UE发送信令指示给UE是否允许UE采用所选的模型。若不允许UE采用所选的模型,UE可采用传统non-AI的方法实现CSI反馈,或者UE仍采用原来所用的CSI生成部分模型。The gNB sends a signaling to the UE to instruct the UE to select one model from N=2 models, or the UE directly selects the model based on the channel measured by the downlink pilot signal. Optionally, when the UE selects a model, the gNB sends the information output by the two CSI recovery models to the UE for the UE to select the model. The UE selects the model through Indicate the model selected by the UE, or the UE sends the ID of the selected model to the gNB. Finally, the gNB sends a signaling to the UE to indicate whether the UE is allowed to adopt the selected model. If the UE is not allowed to adopt the selected model, the UE can use the traditional non-AI method to implement CSI feedback, or the UE still uses the original CSI generation model.

UE在采用所选的模型运行一段时间后,因UE电量限制,UE可允许的模型个数减少到K个,或者可运行的模型已不可再使用。UE主动向gNB发送请求信令,指示原来的运行的模型不可用,或者可用的模型个数只剩K=1个。UE可直接选择一个模型并所选模型的指示信息发送向gNB。或者UE再接收到gNB发送的指示信令后再确定是否选择模型。UE通过一个大小为N=2bit指示可用的模型个数,然后再通过指示从K个模型中中选择一个模型。由于K=1,所以不需要额外的bit再指示,gNB可根据接收的N=2bits确定UE所选的模型。After the UE runs for a period of time using the selected model, due to the UE power limit, the number of models allowed by the UE is reduced to K, or the runnable model is no longer available. The UE actively sends a request signaling to the gNB, indicating that the original running model is not available, or the number of available models is only K = 1. The UE can directly select a model and send the indication information of the selected model to the gNB. Or the UE determines whether to select a model after receiving the indication signaling sent by the gNB. The UE indicates the number of available models through a size of N = 2 bits, and then Indicates the selection of a model from K models. Since K = 1, no additional bit is required for indication, and the gNB can determine the model selected by the UE based on the received N = 2 bits.

特别地,当UE监测到没有一个模型可用时,即K=0。UE把K的值指示上报给gNB后,由gNB向UE发送信令指示信息确定是否让UE采用non-AI的CSI反馈。In particular, when the UE detects that no model is available, that is, K = 0. After the UE reports the value of K to the gNB, the gNB sends a signaling indication message to the UE to determine whether to let the UE use non-AI CSI feedback.

实施例2(实施方式2):Embodiment 2 (implementation method 2):

假设M和N的参数仍同实施例1。gNB向UE发送模型选择的指示信息,指示UE向gNB发送M或N个CSI生成部分模型压缩后的信息和根据下行导频如CSI-RS确定的各子带的信道信息的特征向量信息,然后gNB根据接收的这些信息从M或N个模型中选择1个模型。gNB把所选的模型信息直接通过模型ID或功能ID指示给UE,或者gNB通过指示所选的模型。Assume that the parameters of M and N are still the same as those in Embodiment 1. The gNB sends the indication information of model selection to the UE, indicating that the UE sends the compressed information of M or N CSI generation partial models and the characteristic vector information of the channel information of each subband determined according to the downlink pilot such as CSI-RS to the gNB, and then the gNB selects one model from the M or N models according to the received information. The gNB indicates the selected model information to the UE directly through the model ID or function ID, or the gNB indicates the selected model information to the UE directly through the model ID or function ID, or the gNB sends ... and Indicates the selected model.

若N的值不能根据gNB配置的参数确定,而是由gNB指示。gNB通过一个大小为M=6bits或指示所选的N个模型,其中分别表示gNB选择N个模型和从M个模型中选择N个模型。然后再通过指示选择的是哪一个模型,或者gNB直接把所选模型ID或功能ID指示给UE。特别地,若gNB没能选择满足性能要求的模型,gNB向UE发送一个指示信息指示UE执行传统non-AI的CSI反馈。If the value of N cannot be determined by the parameters configured by the gNB, but is indicated by the gNB, the gNB uses a size of M = 6 bits or Indicates the selected N models, where and Respectively, it means gNB selects N models and selects N models from M models. Then, Indicates which model is selected, or the gNB directly indicates the selected model ID or function ID to the UE. In particular, if the gNB fails to select a model that meets the performance requirements, the gNB sends an indication message to the UE to instruct the UE to perform traditional non-AI CSI feedback.

实施例3(实施方式3):Embodiment 3 (implementation method 3):

同实施例1,当UE接收到gNB发送的模型选择指示信息后,首先从M个模型中选择N个模型,或者从N个模型中选择K个可用的模型。UE把它所选的N个或K个模型的指示信息发送给gNB。As in Embodiment 1, after the UE receives the model selection indication information sent by the gNB, it first selects N models from the M models, or selects K available models from the N models. The UE sends the indication information of the N or K models selected by it to the gNB.

gNB根据接收的UE所选的模型指示信息和UE发送N个或K个模型的输入信息和输出信息,从N个或K个选择1个最优模型。其中N个或K个模型的输入信息可以相同或不同。UE选择周期、半持续、非周期上报或通过事件触发中的一种方式,把这些模型的输入信息和输出信息通过一次或多次上报给gNB。然后gNB把所选的1个模型信息通过指示给UE,或者直接通过把选择模型ID或功能ID信息发送给UE。The gNB selects an optimal model from N or K models according to the received model indication information selected by the UE and the input information and output information of N or K models sent by the UE. The input information of the N or K models can be the same or different. The UE selects a periodic, semi-continuous, aperiodic reporting method or an event trigger method to report the input information and output information of these models to the gNB once or multiple times. Then the gNB reports the selected model information to the gNB through or Indicate to the UE, or directly send the selected model ID or function ID information to the UE.

UE根据接收gNB发送的指示信息确定UE所采用的CSI生成部分模型,或者确定是否采用传统non-AI方法反馈CSI。The UE determines the CSI generation model adopted by the UE based on the indication information sent by the gNB, or determines whether to use the traditional non-AI method to feedback the CSI.

本公开实施例还提出用于实现以上任一方法的装置,例如,提出一装置,上述装置包括用以实现以上任一方法中终端所执行的各步骤的单元或模块。再如,还提出另一装置,包括用以实现以上任一方法中网络设备(例如接入网设备、核心网功能节点、核心网设备等)所执行的 各步骤的单元或模块。The embodiments of the present disclosure also provide a device for implementing any of the above methods. For example, a device is provided, and the above device includes a unit or module for implementing each step performed by the terminal in any of the above methods. For another example, another device is provided, including a unit or module for implementing each step performed by a network device (such as an access network device, a core network function node, a core network device, etc.) in any of the above methods. Units or modules of each step.

应理解以上装置中各单元或模块的划分仅是一种逻辑功能的划分,在实际实现时可以全部或部分集成到一个物理实体上,也可以物理上分开。此外,装置中的单元或模块可以以处理器调用软件的形式实现:例如装置包括处理器,处理器与存储器连接,存储器中存储有指令,处理器调用存储器中存储的指令,以实现以上任一方法或实现上述装置各单元或模块的功能,其中处理器例如为通用处理器,例如中央处理单元(Central Processing Unit,CPU)或微处理器,存储器为装置内的存储器或装置外的存储器。或者,装置中的单元或模块可以以硬件电路的形式实现,可以通过对硬件电路的设计实现部分或全部单元或模块的功能,上述硬件电路可以理解为一个或多个处理器;例如,在一种实现中,上述硬件电路为专用集成电路(application-specific integrated circuit,ASIC),通过对电路内元件逻辑关系的设计,实现以上部分或全部单元或模块的功能;再如,在另一种实现中,上述硬件电路为可以通过可编程逻辑器件(programmable logic device,PLD)实现,以现场可编程门阵列(Field Programmable Gate Array,FPGA)为例,其可以包括大量逻辑门电路,通过配置文件来配置逻辑门电路之间的连接关系,从而实现以上部分或全部单元或模块的功能。以上装置的所有单元或模块可以全部通过处理器调用软件的形式实现,或全部通过硬件电路的形式实现,或部分通过处理器调用软件的形式实现,剩余部分通过硬件电路的形式实现。It should be understood that the division of the units or modules in the above device is only a division of logical functions, which can be fully or partially integrated into one physical entity or physically separated in actual implementation. In addition, the units or modules in the device can be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, and instructions are stored in the memory. The processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the units or modules of the above device, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory inside the device or a memory outside the device. Alternatively, the units or modules in the device may be implemented in the form of hardware circuits, and the functions of some or all of the units or modules may be implemented by designing the hardware circuits. The hardware circuits may be understood as one or more processors; for example, in one implementation, the hardware circuits are application-specific integrated circuits (ASICs), and the functions of some or all of the above units or modules may be implemented by designing the logical relationship of the components in the circuits; for another example, in another implementation, the hardware circuits may be implemented by programmable logic devices (PLDs), and Field Programmable Gate Arrays (FPGAs) may be used as an example, which may include a large number of logic gate circuits, and the connection relationship between the logic gate circuits may be configured by configuring the configuration files, thereby implementing the functions of some or all of the above units or modules. All units or modules of the above devices may be implemented in the form of software called by the processor, or in the form of hardware circuits, or in the form of software called by the processor, and the remaining part may be implemented in the form of hardware circuits.

在本公开实施例中,处理器是具有信号处理能力的电路,在一种实现中,处理器可以是具有指令读取与运行能力的电路,例如中央处理单元(Central Processing Unit,CPU)、微处理器、图形处理器(graphics processing unit,GPU)(可以理解为微处理器)、或数字信号处理器(digital signal processor,DSP)等;在另一种实现中,处理器可以通过硬件电路的逻辑关系实现一定功能,上述硬件电路的逻辑关系是固定的或可以重构的,例如处理器为专用集成电路(application-specific integrated circuit,ASIC)或可编程逻辑器件(programmable logic device,PLD)实现的硬件电路,例如FPGA。在可重构的硬件电路中,处理器加载配置文档,实现硬件电路配置的过程,可以理解为处理器加载指令,以实现以上部分或全部单元或模块的功能的过程。此外,还可以是针对人工智能设计的硬件电路,其可以理解为ASIC,例如神经网络处理单元(Neural Network Processing Unit,NPU)、张量处理单元(Tensor Processing Unit,TPU)、深度学习处理单元(Deep learning Processing Unit,DPU)等。In the disclosed embodiments, the processor is a circuit with signal processing capability. In one implementation, the processor may be a circuit with instruction reading and execution capability, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which may be understood as a microprocessor), or a digital signal processor (DSP); in another implementation, the processor may implement certain functions through the logical relationship of a hardware circuit, and the logical relationship of the above hardware circuit may be fixed or reconfigurable, such as a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document to implement the hardware circuit configuration may be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. In addition, it can also be a hardware circuit designed for artificial intelligence, which can be understood as ASIC, such as Neural Network Processing Unit (NPU), Tensor Processing Unit (TPU), Deep Learning Processing Unit (DPU), etc.

图7a是本公开实施例提出的终端的结构示意图。如图7a所示,终端7100可以包括:收发模块7101、处理模块7102等中的至少一者。在一些实施例中,上述发模块7101模块用于发送第一信息,所述第一信息用于确定对信道状态信息CSI进行压缩传输的目标模型,所述模型包括第一模型和第二模型中至少之一;其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于所述网络设备端并用于对压缩的CSI进行解压缩;所述第一模型对应于所述第二模型。可选地,上述收发模块用于执行以上任一方法中终端101执行的发送和/或接收等通信步骤(例如步骤S2103、步骤S2201、步骤S2202、步骤S2203、步骤S2205、步骤S2301、步骤S2303、步骤S2402、步骤S2403、步骤S2405、步骤S2502、步骤S2504,但不限于此)中的至少一者,此处不再赘述。可选地,上述处理模块用于执行以上任一方法中终端101执行的其他步骤(例如步骤S2101、步骤S2102、步骤S2201、步骤S2204、步骤S2501,但不限于此)中的至少一者,此处不再赘述。FIG7a is a schematic diagram of the structure of the terminal proposed in an embodiment of the present disclosure. As shown in FIG7a, the terminal 7100 may include: at least one of a transceiver module 7101, a processing module 7102, etc. In some embodiments, the above-mentioned transceiver module 7101 is used to send a first information, and the first information is used to determine a target model for compressing and transmitting the channel state information CSI, and the model includes at least one of a first model and a second model; wherein the first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device end and is used to decompress the compressed CSI; the first model corresponds to the second model. Optionally, the transceiver module is used to execute at least one of the communication steps such as sending and/or receiving executed by the terminal 101 in any of the above methods (for example, step S2103, step S2201, step S2202, step S2203, step S2205, step S2301, step S2303, step S2402, step S2403, step S2405, step S2502, step S2504, but not limited to this), which will not be repeated here. Optionally, the processing module is used to execute at least one of the other steps (for example, step S2101, step S2102, step S2201, step S2204, step S2501, but not limited to this) executed by the terminal 101 in any of the above methods, which will not be repeated here.

图7b是本公开实施例提出的网络设备的结构示意图。如图7b所示,网络设备7200可以包括:收发模块7201、处理模块7202等中的至少一者。在一些实施例中,上述收发模块7201模块用于接收第一信息,所述第一信息用于确定对信道状态信息CSI进行压缩传输的目标模型,所述模型包括第一模型和第二模型中至少之一;其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于所述网络设备端并用于对压缩的CSI进行解压缩;所述第一模型对应于所述第二模型。可选地,上述收发模块用于执行以上任一方法中终端101执行的发送和/或接收等通信步骤(例如步骤S2103、步骤S2201、步骤S2202、步骤S2203、步骤S2205、步骤S2301、步骤S2303、步骤S2402、步骤S2403、步骤S2405、步骤S2502、步骤S2504,但不限于此)中的至少一者,此处不再赘述。可选地,上述处理模块用于执行以上任一方法中网络设备102执行的其他步骤(例如步骤S2302、步骤S2401、步骤S2404、步骤S2503但不限于此)中的至少一者,此处不再赘述。FIG7b is a schematic diagram of the structure of a network device proposed in an embodiment of the present disclosure. As shown in FIG7b, the network device 7200 may include: at least one of a transceiver module 7201, a processing module 7202, etc. In some embodiments, the transceiver module 7201 is used to receive first information, and the first information is used to determine a target model for compressing and transmitting channel state information CSI, and the model includes at least one of a first model and a second model; wherein the first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device end and is used to decompress the compressed CSI; the first model corresponds to the second model. Optionally, the transceiver module is used to execute at least one of the communication steps such as sending and/or receiving performed by the terminal 101 in any of the above methods (for example, step S2103, step S2201, step S2202, step S2203, step S2205, step S2301, step S2303, step S2402, step S2403, step S2405, step S2502, step S2504, but not limited to this), which will not be repeated here. Optionally, the processing module is used to execute at least one of the other steps (for example, step S2302, step S2401, step S2404, step S2503 but not limited to this) performed by the network device 102 in any of the above methods, which will not be repeated here.

图8a是本公开实施例提出的通信设备8100的结构示意图。通信设备8100可以是网络设备(例如接入网设备、核心网设备等),也可以是终端(例如用户设备等),也可以是支持网络 设备实现以上任一方法的芯片、芯片系统、或处理器等,还可以是支持终端实现以上任一方法的芯片、芯片系统、或处理器等。通信设备8100可用于实现上述方法实施例中描述的方法,具体可以参见上述方法实施例中的说明。FIG8a is a schematic diagram of the structure of a communication device 8100 proposed in an embodiment of the present disclosure. The communication device 8100 may be a network device (such as an access network device, a core network device, etc.), a terminal (such as a user device, etc.), or a network supporting The chip, chip system, or processor that implements any of the above methods may also be a chip, chip system, or processor that supports a terminal to implement any of the above methods. The communication device 8100 may be used to implement the method described in the above method embodiment, and the details may refer to the description in the above method embodiment.

如图8a所示,通信设备8100包括一个或多个处理器8101。处理器8101可以是通用处理器或者专用处理器等,例如可以是基带处理器或中央处理器。基带处理器可以用于对通信协议以及通信数据进行处理,中央处理器可以用于对通信装置(如,基站、基带芯片,终端设备、终端设备芯片,DU或CU等)进行控制,执行程序,处理程序的数据。可选地,通信设备8100用于执行以上任一方法。可选地,一个或多个处理器8101用于调用指令以使得通信设备8100执行以上任一方法。As shown in Figure 8a, the communication device 8100 includes one or more processors 8101. The processor 8101 can be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process the communication protocol and communication data, and the central processing unit can be used to control the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute a program, and process program data. Optionally, the communication device 8100 is used to execute any of the above methods. Optionally, one or more processors 8101 are used to call instructions so that the communication device 8100 executes any of the above methods.

在一些实施例中,通信设备8100还包括一个或多个收发器8102。在通信设备8100包括一个或多个收发器8102时,收发器8102执行上述方法中的发送和/或接收等通信步骤(例如步骤S2103、步骤S2201、步骤S2202、步骤S2203、步骤S2205、步骤S2301、步骤S2303、步骤S2402、步骤S2403、步骤S2405、步骤S2502、步骤S2504,但不限于此)中的至少一者,处理器8101执行其他步骤(例如步骤S2101、步骤S2102、步骤S2201、步骤S2204、步骤S2501、步骤S2302、步骤S2401、步骤S2404、步骤S2503,但不限于此)中的至少一者。在可选的实施例中,收发器可以包括接收器和/或发送器,接收器和发送器可以是分离的,也可以集成在一起。可选地,收发器、收发单元、收发机、收发电路、接口电路、接口等术语可以相互替换,发送器、发送单元、发送机、发送电路等术语可以相互替换,接收器、接收单元、接收机、接收电路等术语可以相互替换。In some embodiments, the communication device 8100 further includes one or more transceivers 8102. When the communication device 8100 includes one or more transceivers 8102, the transceiver 8102 performs at least one of the communication steps such as sending and/or receiving in the above method (for example, step S2103, step S2201, step S2202, step S2203, step S2205, step S2301, step S2303, step S2402, step S2403, step S2405, step S2502, step S2504, but not limited thereto), and the processor 8101 performs at least one of the other steps (for example, step S2101, step S2102, step S2201, step S2204, step S2501, step S2302, step S2401, step S2404, step S2503, but not limited thereto). In an optional embodiment, the transceiver may include a receiver and/or a transmitter, and the receiver and the transmitter may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, interface, etc. may be replaced with each other, the terms transmitter, transmission unit, transmitter, transmission circuit, etc. may be replaced with each other, and the terms receiver, receiving unit, receiver, receiving circuit, etc. may be replaced with each other.

在一些实施例中,通信设备8100还包括用于存储数据的一个或多个存储器8103。可选地,全部或部分存储器8103也可以处于通信设备8100之外。在可选的实施例中,通信设备8100可以包括一个或多个接口电路8104。可选地,接口电路8104与存储器8102连接,接口电路8104可用于从存储器8102或其他装置接收数据,可用于向存储器8102或其他装置发送数据。例如,接口电路8104可读取存储器8102中存储的数据,并将该数据发送给处理器8101。In some embodiments, the communication device 8100 further includes one or more memories 8103 for storing data. Optionally, all or part of the memories 8103 may also be outside the communication device 8100. In an optional embodiment, the communication device 8100 may include one or more interface circuits 8104. Optionally, the interface circuit 8104 is connected to the memory 8102, and the interface circuit 8104 may be used to receive data from the memory 8102 or other devices, and may be used to send data to the memory 8102 or other devices. For example, the interface circuit 8104 may read the data stored in the memory 8102 and send the data to the processor 8101.

以上实施例描述中的通信设备8100可以是网络设备或者终端,但本公开中描述的通信设备8100的范围并不限于此,通信设备8100的结构可以不受图8a的限制。通信设备可以是独立的设备或者可以是较大设备的一部分。例如所述通信设备可以是:1)独立的集成电路IC,或芯片,或,芯片系统或子系统;(2)具有一个或多个IC的集合,可选地,上述IC集合也可以包括用于存储数据,程序的存储部件;(3)ASIC,例如调制解调器(Modem);(4)可嵌入在其他设备内的模块;(5)接收机、终端设备、智能终端设备、蜂窝电话、无线设备、手持机、移动单元、车载设备、网络设备、云设备、人工智能设备等等;(6)其他等等。The communication device 8100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 8100 described in the present disclosure is not limited thereto, and the structure of the communication device 8100 may not be limited by FIG. 8a. The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: 1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data and programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, a vehicle-mounted device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

图8b是本公开实施例提出的芯片8200的结构示意图。对于通信设备8100可以是芯片或芯片系统的情况,可以参见图8b所示的芯片8200的结构示意图,但不限于此。Fig. 8b is a schematic diagram of the structure of a chip 8200 provided in an embodiment of the present disclosure. In the case where the communication device 8100 may be a chip or a chip system, reference may be made to the schematic diagram of the structure of the chip 8200 shown in Fig. 8b, but the present invention is not limited thereto.

芯片8200包括一个或多个处理器8201。芯片8200用于执行以上任一方法。The chip 8200 includes one or more processors 8201. The chip 8200 is configured to execute any of the above methods.

在一些实施例中,芯片8200还包括一个或多个接口电路8202。可选地,接口电路、接口、收发管脚等术语可以相互替换。在一些实施例中,芯片8200还包括用于存储数据的一个或多个存储器8203。可选地,全部或部分存储器8203可以处于芯片8200之外。可选地,接口电路8202与存储器8203连接,接口电路8202可以用于从存储器8203或其他装置接收数据,接口电路8202可用于向存储器8203或其他装置发送数据。例如,接口电路8202可读取存储器8203中存储的数据,并将该数据发送给处理器8201。In some embodiments, the chip 8200 further includes one or more interface circuits 8202. Optionally, the terms interface circuit, interface, transceiver pin, etc. can be interchangeable. In some embodiments, the chip 8200 further includes one or more memories 8203 for storing data. Optionally, all or part of the memory 8203 can be outside the chip 8200. Optionally, the interface circuit 8202 is connected to the memory 8203, and the interface circuit 8202 can be used to receive data from the memory 8203 or other devices, and the interface circuit 8202 can be used to send data to the memory 8203 or other devices. For example, the interface circuit 8202 can read the data stored in the memory 8203 and send the data to the processor 8201.

在一些实施例中,接口电路8202执行上述方法中的发送和/或接收等通信步骤(例如步骤S2103、步骤S2201、步骤S2202、步骤S2203、步骤S2205、步骤S2301、步骤S2303、步骤S2402、步骤S2403、步骤S2405、步骤S2502、步骤S2504,但不限于此)中的至少一者。接口电路8202执行上述方法中的发送和/或接收等通信步骤例如是指:接口电路8202执行处理器8201、芯片8200、存储器8203或收发器件之间的数据交互。在一些实施例中,处理器8201执行其他步骤(例如步骤S2101、步骤S2102、步骤S2201、步骤S2204、步骤S2501、步骤S2302、步骤S2401、步骤S2404、步骤S2503,但不限于此)中的至少一者。In some embodiments, the interface circuit 8202 performs at least one of the communication steps such as sending and/or receiving in the above method (for example, step S2103, step S2201, step S2202, step S2203, step S2205, step S2301, step S2303, step S2402, step S2403, step S2405, step S2502, step S2504, but not limited thereto). The interface circuit 8202 performs the communication steps such as sending and/or receiving in the above method, for example, means that the interface circuit 8202 performs data interaction between the processor 8201, the chip 8200, the memory 8203 or the transceiver device. In some embodiments, processor 8201 executes at least one of the other steps (for example, step S2101, step S2102, step S2201, step S2204, step S2501, step S2302, step S2401, step S2404, step S2503, but not limited to these).

本公开还提出存储介质,上述存储介质上存储有指令,当上述指令在通信设备8100上运行时,使得通信设备8100执行以上任一方法。可选地,上述存储介质是电子存储介质。可选地,上述存储介质是计算机可读存储介质,但不限于此,其也可以是其他装置可读的存储介质。可选地,上述存储介质可以是非暂时性(non-transitory)存储介质,但不限于此,其也可以是 暂时性存储介质。The present disclosure also provides a storage medium, on which instructions are stored. When the instructions are executed on the communication device 8100, the communication device 8100 executes any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but is not limited thereto, and may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but is not limited thereto, and may also be a Temporary storage medium.

本公开还提出程序产品,上述程序产品被通信设备8100执行时,使得通信设备8100执行以上任一方法。可选地,上述程序产品是计算机程序产品。The present disclosure also proposes a program product, which, when executed by the communication device 8100, enables the communication device 8100 to execute any of the above methods. Optionally, the program product is a computer program product.

本公开还提出计算机程序,当其在计算机上运行时,使得计算机执行以上任一方法。 The present disclosure also proposes a computer program, which, when executed on a computer, causes the computer to execute any one of the above methods.

Claims (32)

一种信息传输方法,其特征在于,方法包括:An information transmission method, characterized in that the method comprises: 终端发送第一信息,所述第一信息用于确定对信道状态信息CSI进行压缩传输的目标模型,所述模型包括第一模型和第二模型中至少之一;The terminal sends first information, where the first information is used to determine a target model for compressing and transmitting channel state information CSI, where the model includes at least one of a first model and a second model; 其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于网络设备端,并用于对压缩的CSI进行解压缩;The first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device end and is used to decompress the compressed CSI; 所述第一模型对应于所述第二模型。The first model corresponds to the second model. 根据权利要求1所述的方法,其特征在于,所述方法还包括:The method according to claim 1, characterized in that the method further comprises: 根据第二信息,从M个模型中确定N个候选模型,其中,所述N个候选模型用于确定所述目标模型,且N为正整数,且1≤N≤M。According to the second information, N candidate models are determined from the M models, wherein the N candidate models are used to determine the target model, and N is a positive integer, and 1≤N≤M. 根据权利要求2所述的方法,其特征在于,所述第二信息包括以下至少一项:The method according to claim 2, wherein the second information includes at least one of the following: 候选模型参数的指示信息;Indicative information of candidate model parameters; 用于确定候选模型的辅助信息,所述辅助信息用于指示所述第二模型的输出信息;Auxiliary information for determining a candidate model, wherein the auxiliary information is used to indicate output information of the second model; 所述终端当前状态的指示信息。Indicative information of the current status of the terminal. 根据权利要求2所述的方法,其特征在于,所述方法还包括:The method according to claim 2, characterized in that the method further comprises: 从所述N个候选模型中确定所述目标模型;其中,所述第一信息用于指示所述终端确定的所述目标模型。Determine the target model from the N candidate models; wherein the first information is used to indicate the target model determined by the terminal. 根据权利要求2至4任一项所述的方法,其特征在于,所述方法还包括:The method according to any one of claims 2 to 4, characterized in that the method further comprises: 发送指示所述终端当前状态的第三信息,所述第三信息用于所述网络设备确定是否允许所述终端从所述N个候选模型中确定目标模型;Sending third information indicating a current state of the terminal, wherein the third information is used by the network device to determine whether to allow the terminal to determine a target model from the N candidate models; 接收所述网络设备发送的第四信息,所述第四信息用于指示是否允许所述终端从所述N个候选模型中确定目标模型。Receive fourth information sent by the network device, where the fourth information is used to indicate whether the terminal is allowed to determine a target model from the N candidate models. 根据权利要求2所述的方法,其特征在于,The method according to claim 2, characterized in that 所述第一信息用于指示所述N个候选模型,其中,所述目标模型是从所述N个候选模型中确定的。The first information is used to indicate the N candidate models, wherein the target model is determined from the N candidate models. 根据权利要求6所述的方法,其特征在于,The method according to claim 6, characterized in that 所述第一信息用于所述网络设备从所述N个候选模型确定所述目标模型。The first information is used by the network device to determine the target model from the N candidate models. 根据权利要求7所述的方法,其特征在于,所述方法还包括:The method according to claim 7, characterized in that the method further comprises: 接收第五信息,其中,所述第五信息用于指示以下一项:Receive fifth information, where the fifth information is used to indicate one of the following: 所述网络设备从所述N个候选模型确定的所述目标模型;The target model determined by the network device from the N candidate models; 所述终端发送CSI的方式,其中,所述第五信息是所述网络设备未确定所述目标模型发送的。The terminal sends CSI in a manner, wherein the fifth information is sent by the network device without determining the target model. 根据权利要求1所述的方法,其特征在于,The method according to claim 1, characterized in that 所述第一信息用于所述网络设备从M个模型中确定所述目标模型;或者The first information is used by the network device to determine the target model from M models; or 所述第一信息为第一值时,指示由所述网络设备确定所述目标模型。When the first information is a first value, it indicates that the target model is determined by the network device. 根据权利要求9所述的方法,其特征在于,The method according to claim 9, characterized in that 所述第一信息为第二值时,指示不允许所述网络设备确定所述目标模型。When the first information is a second value, it indicates that the network device is not allowed to determine the target model. 根据权利要求9所述的方法,其特征在于,所述方法还包括:The method according to claim 9, characterized in that the method further comprises: 接收所述网络设备发送的第六信息,其中,receiving sixth information sent by the network device, wherein: 所述第一信息用于所述网络设备从M个模型中确定所述目标模型,所述第六信息用于指示所述目标模型;或者The first information is used by the network device to determine the target model from M models, and the sixth information is used to indicate the target model; or 所述第一信息为所述第一值时,所述第六信息用于指示所述网络设备从所述M个模型中确定的N个候选模型。When the first information is the first value, the sixth information is used to indicate the N candidate models determined by the network device from the M models. 根据权利要求11所述的方法,其特征在于,所述方法还包括:The method according to claim 11, characterized in that the method further comprises: 所述第一信息为所述第一值时,接收所述网络设备发送的第七信息,其中,所述第七信息用于指示以下一项:When the first information is the first value, seventh information sent by the network device is received, wherein the seventh information is used to indicate one of the following: 所述网络设备从所述N个候选模型确定的目标模型;The network device determines a target model from the N candidate models; 所述终端进行回退操作,其中,所述第七信息是所述网络设备确定不具有所述候选模型、或者所述网络设备不被允许从所述N个候选模型确定目标模型时发送的。The terminal performs a fallback operation, wherein the seventh information is sent when the network device determines that it does not have the candidate model, or the network device is not allowed to determine the target model from the N candidate models. 根据权利要求9至12任一项所述的方法,其特征在于,所述第一信息指示所述网络设备从M个模型中确定所述目标模型采用的模型参数,其中,所述模型参数包括以下至少一项:The method according to any one of claims 9 to 12, characterized in that the first information instructs the network device to determine a model parameter adopted by the target model from M models, wherein the model parameter includes at least one of the following: 所述终端确定的信道特征向量; A channel feature vector determined by the terminal; 所述M个模型对所述特征向量进行压缩后得到的压缩的CSI;所述M个模型分别对应的模型标识。The compressed CSI obtained after the M models compress the feature vector; and the model identifiers corresponding to the M models respectively. 一种信息传输方法,其特征在于,所述方法包括:An information transmission method, characterized in that the method comprises: 网络设备接收第一信息,所述第一信息用于确定对信道状态信息CSI进行压缩传输的目标模型,所述模型包括第一模型和第二模型中至少之一;The network device receives first information, where the first information is used to determine a target model for compressing and transmitting channel state information CSI, where the model includes at least one of a first model and a second model; 其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于所述网络设备端并用于对压缩的CSI进行解压缩;The first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device and is used to decompress the compressed CSI; 所述第一模型对应于所述第二模型。The first model corresponds to the second model. 根据权利要求14所述的方法,其特征在于,所述方法还包括:The method according to claim 14, characterized in that the method further comprises: 发送第二信息,其中,所述第二信息用于所述终端从M个模型中确定N个候选模型,其中,所述N个候选模型用于确定所述目标模型,且N为正整数,且1≤N≤M。Sending second information, wherein the second information is used by the terminal to determine N candidate models from M models, wherein the N candidate models are used to determine the target model, and N is a positive integer, and 1≤N≤M. 根据权利要求15所述的方法,其特征在于,所述第二信息包括以下至少一项:The method according to claim 15, characterized in that the second information includes at least one of the following: 候选模型参数的指示信息;Indicative information of candidate model parameters; 用于确定候选模型的辅助信息,所述辅助信息用于指示所述第二模型的输出信息。Auxiliary information used to determine the candidate model, where the auxiliary information is used to indicate output information of the second model. 根据权利要求15所述的方法,其特征在于,The method according to claim 15, characterized in that 所述N个候选模型用于所述终端确定所述目标模型;其中,所述第一信息用于指示所述终端确定的所述目标模型。The N candidate models are used by the terminal to determine the target model; wherein the first information is used to indicate the target model determined by the terminal. 根据权利要求15至17任一项所述的方法,其特征在于,所述方法还包括:The method according to any one of claims 15 to 17, characterized in that the method further comprises: 接收指示所述终端当前状态的第三信息,所述第三信息用于所述网络设备确定是否允许所述终端从所述N个候选模型中确定目标模型;receiving third information indicating a current state of the terminal, wherein the third information is used by the network device to determine whether to allow the terminal to determine a target model from the N candidate models; 发送第四信息,所述第四信息用于指示是否允许所述终端从所述N个候选模型中确定目标模型。Send fourth information, where the fourth information is used to indicate whether the terminal is allowed to determine the target model from the N candidate models. 根据权利要求15所述的方法,其特征在于,The method according to claim 15, characterized in that 所述第一信息用于指示所述N个候选模型,其中,所述目标模型是从所述N个候选模型中确定的。The first information is used to indicate the N candidate models, wherein the target model is determined from the N candidate models. 根据权利要求19所述的方法,其特征在于,所述方法还包括:The method according to claim 19, characterized in that the method further comprises: 从所述N个候选模型确定所述目标模型。The target model is determined from the N candidate models. 根据权利要求20所述的方法,其特征在于,所述方法还包括:The method according to claim 20, characterized in that the method further comprises: 发送第五信息,其中,所述第五信息用于指示以下一项:Sending fifth information, wherein the fifth information is used to indicate one of the following: 所述网络设备从所述N个候选模型确定的所述目标模型;The target model determined by the network device from the N candidate models; 所述终端发送CSI的方式,其中,所述第五信息是所述网络设备未确定所述目标模型发送的。The terminal sends CSI in a manner, wherein the fifth information is sent by the network device without determining the target model. 根据权利要求14所述的方法,其特征在于,The method according to claim 14, characterized in that 所述第一信息用于所述网络设备从M个模型中确定所述目标模型;或者The first information is used by the network device to determine the target model from M models; or 所述第一信息为第一值时,指示由所述网络设备确定所述目标模型。When the first information is a first value, it indicates that the target model is determined by the network device. 根据权利要求22所述的方法,其特征在于,The method according to claim 22, characterized in that 所述第一信息为第二值时,指示不允许所述网络设备确定所述目标模型。When the first information is a second value, it indicates that the network device is not allowed to determine the target model. 根据权利要求22所述的方法,其特征在于,所述方法还包括:The method according to claim 22, characterized in that the method further comprises: 发送第六信息,其中,Sending a sixth message, wherein 所述第一信息用于所述网络设备从M个模型中确定所述目标模型,所述第六信息用于指示所述目标模型;或者The first information is used by the network device to determine the target model from M models, and the sixth information is used to indicate the target model; or 所述第一信息为所述第一值时,所述第六信息用于指示所述网络设备从所述M个模型中确定的N个候选模型。When the first information is the first value, the sixth information is used to indicate the N candidate models determined by the network device from the M models. 根据权利要求24所述的方法,其特征在于,所述方法还包括:The method according to claim 24, characterized in that the method further comprises: 所述第一信息为所述第一值时,发送第七信息,其中,所述第七信息用于指示以下一项:When the first information is the first value, seventh information is sent, where the seventh information is used to indicate one of the following: 所述网络设备从所述N个候选模型确定的所述目标模型;The target model determined by the network device from the N candidate models; 所述终端进行回退操作,其中,所述第七信息是所述网络设备确定不具有所述候选模型、或者所述网络设备不被允许从所述N个候选模型确定目标模型时发送的。The terminal performs a fallback operation, wherein the seventh information is sent when the network device determines that it does not have the candidate model or the network device is not allowed to determine the target model from the N candidate models. 根据权利要求22至25任一项所述的方法,其特征在于,所述第一信息指示所述网络设备从M个模型中确定所述目标模型采用的模型参数,其中,所述模型参数包括以下至少一项:The method according to any one of claims 22 to 25, characterized in that the first information instructs the network device to determine a model parameter adopted by the target model from M models, wherein the model parameter includes at least one of the following: 所述终端确定的信道特征向量;A channel feature vector determined by the terminal; 所述M个模型对所述特征向量进行压缩后得到的压缩的CSI;A compressed CSI obtained by compressing the feature vector by the M models; 所述M个模型分别对应的模型标识。 The M models respectively correspond to model identifiers. 一种信息传输方法,由通信系统执行,其特征在于,所述方法包括:An information transmission method, performed by a communication system, characterized in that the method comprises: 终端向网络设备发送第一信息,所述第一信息用于确定对信道状态信息CSI进行压缩传输的目标模型,所述模型包括第一模型和第二模型中至少之一;The terminal sends first information to the network device, where the first information is used to determine a target model for compressing and transmitting the channel state information CSI, where the model includes at least one of a first model and a second model; 其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于所述网络设备端并用于对压缩的CSI进行解压缩;The first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device and is used to decompress the compressed CSI; 所述第一模型对应于所述第二模型。The first model corresponds to the second model. 一种终端,其特征在于,所述终端包括:A terminal, characterized in that the terminal comprises: 收发模块,配置为发送第一信息,所述第一信息用于确定对信道状态信息CSI进行压缩传输的目标模型,所述模型包括第一模型和第二模型中至少之一;A transceiver module, configured to send first information, where the first information is used to determine a target model for compressing and transmitting channel state information CSI, where the model includes at least one of a first model and a second model; 其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于网络设备端,并用于对压缩的CSI进行解压缩;The first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device end and is used to decompress the compressed CSI; 所述第一模型对应于所述第二模型。The first model corresponds to the second model. 一种网络设备,其特征在于,所述网络设备包括:A network device, characterized in that the network device comprises: 收发模块,配置为接收第一信息,所述第一信息用于确定对信道状态信息CSI进行压缩传输的目标模型,所述模型包括第一模型和第二模型中至少之一;A transceiver module, configured to receive first information, where the first information is used to determine a target model for compressing and transmitting channel state information CSI, where the model includes at least one of a first model and a second model; 其中,所述第一模型位于终端并用于对CSI进行压缩,所述第二模型位于所述网络设备端并用于对压缩的CSI进行解压缩;The first model is located at the terminal and is used to compress the CSI, and the second model is located at the network device and is used to decompress the compressed CSI; 所述第一模型对应于所述第二模型。The first model corresponds to the second model. 一种通信系统,其特征在于,所述通信系统包括:终端和网络设备;其中,A communication system, characterized in that the communication system comprises: a terminal and a network device; wherein: 所述终端被配置为实现权利要求1至13中任一项所述的信息传输方法;The terminal is configured to implement the information transmission method according to any one of claims 1 to 13; 所述网络设备被配置为实现权利要求14至26中任一项所述的信息传输方法。The network device is configured to implement the information transmission method according to any one of claims 14 to 26. 一种通信设备,其特征在于,所述通信设备包括:A communication device, characterized in that the communication device comprises: 一个或多个处理器;one or more processors; 其中,所述处理器用于调用指令以使得所述通信设备执行权利要求1至13、权利要求14至26中任一项所述的信息传输方法。The processor is used to call instructions so that the communication device executes the information transmission method according to any one of claims 1 to 13 and claims 14 to 26. 一种存储介质,其特征在于,所述存储介质存储有指令,当所述指令在通信设备上运行时,使得所述通信设备执行权利要求1至13、权利要求14至26中任一项所述的信息传输方法。 A storage medium, characterized in that the storage medium stores instructions, and when the instructions are executed on a communication device, the communication device executes the information transmission method described in any one of claims 1 to 13 and claims 14 to 26.
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