WO2025208452A1 - Communication method and apparatus, and storage medium - Google Patents

Abstract

The present application relates to a communication method and apparatus, and a storage medium. The method comprises: a terminal determining that a first state parameter meets a first condition, and sending first information to a network device, wherein the first information is used for adjusting an AI model or an AI function, and the first state parameter is determined by means of the current state of the terminal or the network device. The above embodiment solves the problem of it being not possible to adjust an AI model or an AI function. In the embodiments of the present disclosure, a terminal determines whether the state of the terminal or a network device meets a condition, so as to report, to the network device, information for adjusting an AI model or an AI function, such that the accuracy of the information sent by the terminal device is ensured, thereby ensuring the accuracy of adjusting the AI model or the AI function on the basis of the information.

Description

Communication method, device and storage medium Technical Field

The present disclosure relates to the field of communication technologies, and in particular to a communication method, device, and storage medium.

Background Art

With the rapid development of mobile communication technology, machine learning algorithms have been introduced into mobile communication technology. Machine learning obtains models through a large amount of training data, and events can be predicted through the models. Wireless communication networks can use models for prediction and reasoning to improve system performance.

Summary of the Invention

The solution provided by the present disclosure solves the problem of being unable to adjust the AI (Artificial Intelligence) model or AI function. In the embodiment of the present disclosure, the terminal reports information on adjusting the AI model or AI function to the network device based on whether the status of itself or the network device meets the conditions, thereby ensuring the accuracy of the information sent by the terminal, and further ensuring the accuracy of the adjustment of the AI model or AI function based on the information.

The embodiments of the present disclosure provide a communication method, an apparatus, and a storage medium.

According to a first aspect of an embodiment of the present disclosure, a communication method is provided, where the method is executed by a terminal and includes:

The terminal determines that a first state parameter satisfies a first condition and sends first information to a network device, where the first information is used to adjust an AI model or an AI function, and the first state parameter is determined by a current state of the terminal or the network device.

According to a second aspect of an embodiment of the present disclosure, a communication method is provided, where the method is performed by a network device and includes:

The first information is sent by the receiving terminal, where the first information is sent when the terminal determines that the first state parameter meets the first condition, the first information is used to adjust the AI model or AI function, and the first state parameter is determined by the current state of the terminal or the network device.

According to a third aspect of an embodiment of the present disclosure, a communication method is proposed, the method including:

The terminal determines that the first state parameter meets the first condition and sends first information to the network device, where the first information is used to adjust the AI model or AI function, and the first state parameter is determined by the current state of the terminal or the network device.

The network device receives first information sent by the terminal;

According to a fourth aspect of an embodiment of the present disclosure, a communication device is provided, including:

A transceiver module is used for the terminal to determine that a first state parameter meets a first condition and send first information to a network device, where the first information is used to adjust the AI model or AI function, and the first state parameter is determined by the current state of the terminal or the network device.

According to a fifth aspect of an embodiment of the present disclosure, a communication device is provided, including:

A transceiver module is used to receive first information sent by a terminal, where the first information is sent when the terminal determines that the first state parameter meets a first condition, and the first information is used to adjust the AI model or AI function, where the first state parameter is determined by the current state of the terminal or the network device.

According to a sixth aspect of an embodiment of the present disclosure, a terminal is provided, including:

one or more processors;

The terminal is used to execute any one of the methods described in the first aspect.

According to a seventh aspect of an embodiment of the present disclosure, a network device is provided, including:

one or more processors;

The network device is used to execute any method described in the second aspect.

According to an eighth aspect of an embodiment of the present disclosure, a communication system is provided, including:

A terminal and an access network device, wherein the terminal is configured to implement the communication method described in the first aspect, and the access network device is configured to implement the communication method described in the second aspect.

According to a ninth aspect of an embodiment of the present disclosure, a storage medium is proposed, wherein the storage medium stores instructions. When the instructions are executed on a communication device, the communication device executes a method as described in any one of the first aspect or the second aspect.

BRIEF DESCRIPTION OF THE DRAWINGS

The drawings described herein are used to provide a further understanding of the embodiments of the present disclosure and constitute a part of the present disclosure. The illustrative embodiments of the embodiments of the present disclosure and their descriptions are used to explain the embodiments of the present disclosure and do not constitute an improper limitation on the embodiments of the present disclosure. In the drawings:

FIG1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure;

FIG2 is an interactive schematic diagram of a communication method according to an embodiment of the present disclosure;

FIG3A is a flow chart illustrating a communication method according to an embodiment of the present disclosure;

FIG3B is a flow chart illustrating a communication method according to an embodiment of the present disclosure;

FIG4A is a flow chart illustrating a communication method according to an embodiment of the present disclosure;

FIG4B is a flow chart illustrating a communication method according to an embodiment of the present disclosure;

FIG5 is a flow chart of a communication method according to an embodiment of the present disclosure;

FIG6 is a flow chart showing a communication method according to an embodiment of the present disclosure;

FIG7A is a schematic structural diagram of a communication device proposed in an embodiment of the present disclosure;

FIG7B is a schematic structural diagram of a communication device proposed in an embodiment of the present disclosure;

FIG8A is a schematic structural diagram of a communication device proposed in an embodiment of the present disclosure;

FIG8B is a schematic diagram of the structure of the chip proposed in an embodiment of the present disclosure.

DETAILED DESCRIPTION

The present disclosure provides a communication method, device, and storage medium.

According to a first aspect of an embodiment of the present disclosure, a communication method is provided, where the method is executed by a terminal and includes:

The terminal determines that the first state parameter meets the first condition, sends first information to the network device, and the first information is used to Or AI function is adjusted, and the first state parameter is determined by the current state of the terminal or the network device.

In the above embodiment, the problem of being unable to adjust the AI model or AI function is solved. In the embodiment of the present disclosure, the terminal reports information on adjusting the AI model or AI function to the network device based on whether the status of itself or the network device meets the conditions, thereby ensuring the accuracy of the information sent by the terminal, and further ensuring the accuracy of the adjustment of the AI model or AI function based on the information.

In conjunction with some embodiments of the first aspect, in some embodiments, the first condition includes at least one of the following:

The first state parameter changes;

The first state parameter is different from the second condition.

The first state parameter is the same as the third condition.

In the above embodiment, the type of the first condition is expanded to ensure that the terminal can determine whether to send the first information based on different first conditions, ensure the accuracy of determining whether to send the first information, and further ensure the accuracy of adjusting the AI model or AI function based on the information.

In conjunction with some embodiments of the first aspect, in some embodiments, the second condition includes at least one of the following:

a condition indicated by the network device;

The conditions corresponding to the AI model being used;

The conditions corresponding to the AI function being used.

In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

Receive second information sent by the network device, where the second information is used to indicate the AI model used or the AI function used; or, the second information is used to indicate whether to start or shut down the AI function.

In the above embodiment, the network device instructs the terminal to use an AI model or AI function, thereby ensuring the accuracy of the AI model or AI function used by the terminal.

In conjunction with some embodiments of the first aspect, in some embodiments, the third condition includes at least one of the following:

a condition indicated by the network device;

Conditions corresponding to unused AI models;

Conditions corresponding to unused AI functions.

In conjunction with some embodiments of the first aspect, in some embodiments, the condition corresponding to the AI function includes a condition corresponding to at least one AI model associated with the AI function; or,

The conditions corresponding to the AI function include conditions corresponding to all AI models associated with the AI function.

In the above embodiment, the condition of the AI function corresponds to the conditions of one AI model or all associated AI models, ensuring the accuracy of determining the condition of the AI function, and further ensuring the accuracy of determining the first condition.

In conjunction with some embodiments of the first aspect, in some embodiments, the terminal determines that the first status parameter satisfies the first condition, and sends the first information to the network device, including:

The terminal determines that the first state parameter meets the first condition, and the duration for which the first state parameter meets the first condition is greater than or equal to the first duration, and sends the first information to the network device.

In the above embodiment, after determining that the first state parameter meets the first condition and the duration of meeting the first condition is greater than the first duration, the terminal sends the first information to the network device to ensure the accuracy of the terminal's determination to send the first information.

In conjunction with some embodiments of the first aspect, in some embodiments, the first information includes at least one of the following:

the first state parameter;

The AI model corresponding to the first state parameter;

The AI function corresponding to the first state parameter.

In conjunction with some embodiments of the first aspect, in some embodiments, the first state parameter includes at least one of the following:

the speed of the terminal;

the remaining energy of the terminal;

the transmit power or operating power of the terminal;

the computing capability of the terminal;

The location of the terminal;

The type of service executed by the terminal;

antenna configuration of the terminal;

the rotational speed of the terminal;

The storage space of the terminal.

In conjunction with some embodiments of the first aspect, in some embodiments, the first state parameter includes at least one of the following:

a cell type of the network device;

The scenario in which the network device is located;

Channel quality of the network device;

the frequency of the network equipment;

the location of the network device;

The distance between the network device and other network devices;

Antenna configuration of the network device;

The transmission power of the network device;

The wireless network configuration of the network device.

In a second aspect, an embodiment of the present disclosure provides a communication method, which is performed by a network device and includes:

The first information is sent by the receiving terminal, where the first information is sent when the terminal determines that the first state parameter meets the first condition, the first information is used to adjust the AI model or AI function, and the first state parameter is determined by the current state of the terminal or the network device.

In conjunction with some embodiments of the second aspect, in some embodiments, the first condition includes at least one of the following:

The first state parameter changes;

The first state parameter is different from the second condition.

The first state parameter is the same as the third condition.

In conjunction with some embodiments of the second aspect, in some embodiments, the second condition includes at least one of the following:

a condition indicated by the network device;

The conditions corresponding to the AI model being used;

The conditions corresponding to the AI function being used.

In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

Sending second information to the terminal, where the second information is used to indicate the AI model used or the AI function used; or, the second information is used to indicate whether to start or shut down the AI function.

In conjunction with some embodiments of the second aspect, in some embodiments, the third condition includes at least one of the following:

a condition indicated by the network device;

Conditions corresponding to unused AI models;

Conditions corresponding to unused AI functions.

In conjunction with some embodiments of the second aspect, in some embodiments, the condition corresponding to the AI function includes a condition corresponding to at least one AI model associated with the AI function; or,

The conditions corresponding to the AI function include conditions corresponding to all AI models associated with the AI function.

In conjunction with some embodiments of the second aspect, in some embodiments, the first information includes at least one of the following:

the first state parameter;

A model corresponding to the first state parameter;

The AI function corresponding to the first state parameter.

In conjunction with some embodiments of the second aspect, in some embodiments, the first state parameter includes at least one of the following:

the speed of the terminal;

the remaining energy of the terminal;

the transmit power or operating power of the terminal;

the computing capability of the terminal;

the location of the terminal;

The type of service executed by the terminal;

antenna configuration of the terminal;

the rotational speed of the terminal;

The storage space of the terminal.

In conjunction with some embodiments of the second aspect, in some embodiments, the first state parameter includes at least one of the following:

a cell type of the network device;

The scenario in which the network device is located;

Channel quality of the network device;

the frequency of the network equipment;

the location of the network device;

The distance between the network device and other network devices;

Antenna configuration of the network device;

The transmission power of the network device;

The wireless network configuration of the network device.

In a third aspect, an embodiment of the present disclosure provides a communication method, the method comprising:

The terminal determines that the first state parameter meets the first condition and sends first information to the network device, where the first information is used to adjust the AI model or AI function, and the first state parameter is determined by the current state of the terminal or the network device.

The network device receives first information sent by the terminal.

In a fourth aspect, an embodiment of the present disclosure provides a communication device, which includes at least one of a transceiver module and a processing module; wherein the terminal is used to execute the optional implementation method of the first aspect.

In a fifth aspect, an embodiment of the present disclosure provides a communication device, which includes at least one of a transceiver module and a processing module; wherein the terminal is used to execute the optional implementation method of the second aspect.

In a sixth aspect, an embodiment of the present disclosure provides a communication device, including:

one or more processors;

The communication device is used to execute any one of the methods in the first aspect.

In a seventh aspect, an embodiment of the present disclosure provides a communication device, including:

one or more processors;

The communication device is used to execute any one of the methods in the second aspect.

In an eighth aspect, an embodiment of the present disclosure provides a storage medium storing first information. When the first information is run on a communication device, the communication device executes a method as described in any one of the first aspect or the second aspect.

In a ninth aspect, an embodiment of the present disclosure proposes a program product. When the program product is executed by a communication device, the communication device executes the method as described in any one of the first aspect or the second aspect.

In a tenth aspect, an embodiment of the present disclosure proposes a computer program, which, when executed on a communication device, enables the communication device to execute the method described in any one of the first aspect or the second aspect.

In an eleventh aspect, an embodiment of the present disclosure provides a chip or a chip system, wherein the chip or chip system includes a processing circuit configured to execute any one of the methods described in the first aspect or the second aspect.

It is understandable that the above-mentioned terminals, 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 of the corresponding methods and will not be repeated here.

The present disclosure provides a communication method, device, and storage medium. In some embodiments, the terms "communication method" and "communication method" are interchangeable, the terms "communication device" and "information communication device" are interchangeable, and the terms "information processing system" and "communication system" are interchangeable.

The embodiments of the present disclosure are not exhaustive, but are merely illustrative of some embodiments and are not intended to limit 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 the order of the steps in an embodiment can be changed. 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.

In each embodiment of the present disclosure, unless otherwise specified or provided for by logic, the terms and/or descriptions between the embodiments are consistent and can be referenced by each other. The technical features in different embodiments can be combined to form a new embodiment based on their inherent logical relationships.

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.

In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular, such as "a", "an", "the", "above", "said", "the", "the", 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 following the article may be understood as a singular expression or a plural expression.

In the embodiments of the present disclosure, “plurality” refers to two or more.

In some embodiments, the terms "at least one of", "one or more", "a plurality of", "multiple", etc. can be used interchangeably.

In some embodiments, descriptions such as "at least one of A and B," "A and/or B," "A in one case, B in another case," or "in response to one case A, in response to another case B" may include the following technical solutions depending on 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); and in some embodiments, A and B (both A and B are executed). The above is also applicable when there are more branches such as A, B, and C.

In some embodiments, "A or B" and other descriptions may include the following technical solutions depending on 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). The above is also applicable when there are more branches such as A, B, C, etc.

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 any restriction on the position, order, priority, quantity or content of the description objects. For the statement of the description object, please refer to the description in the context of the claims or embodiments, and no unnecessary restriction should be constituted 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". "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 "first device" as an example, the number of "devices" can be one or more. In addition, the objects modified by different prefixes can be the same or different. For example, if the description object is "device", then the "first device" and the "second device" can be the same device or different devices, and their types can be the same or different; for another example, if the description object is "information", then the "first information" and the "second information" can be the same information or different information, and their contents can be the same or different.

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.

In some embodiments, terms such as "time/frequency" and "time/frequency domain" refer to the time domain and/or the frequency domain.

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.

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 less 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", "not more than", "lower than", "lower than or equal to", "not higher than", and "below" can be replaced with each other.

In some embodiments, devices and equipment can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. In some cases, they can also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject", etc.

In some embodiments, "network" can be interpreted as devices included in the network, such as access network equipment, core network equipment, etc.

In some embodiments, the "access network device (AN device)" may also be referred to as a "radio access network device (RAN device)", "base station (BS)", "radio base station (radio base station)", "fixed station (fixed station)", and in some embodiments may also be understood as a "node (node)", "access point (access point)", "transmission point (TP)", "reception point (RP)", "transmission and/or reception point (transmission/reception point, TRP)", "panel", "antenna panel", "antenna array", "cell", "macro cell", "small cell", "femto cell", "pico cell", "sector", "cell group", "serving cell", "carrier", "component carrier", "bandwidth part (BWP)", etc.

In some embodiments, "terminal" or "terminal device" may be referred to as "user equipment (terminal)", "user terminal (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, etc.

In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

In some embodiments, data, information, etc. may be obtained with the user's consent.

In addition, each element, each row, or each column in the table of the embodiment of the present disclosure can be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns can also be implemented as an independent embodiment.

FIG1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure. As shown in FIG1 , the method provided in the embodiment of the present disclosure can be applied to a communication system 100, which may include a terminal 101 and a network device 102. It should be noted that the communication system 100 may also include other devices, and the present disclosure does not limit the devices included in the communication system 100.

In some embodiments, the terminal 101 includes, for example, a mobile phone, a wearable device, an Internet of Things device, a car with communication capabilities, a smart car, a tablet computer, a computer with wireless transceiver capabilities, 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, or a wireless terminal device in industrial control. At least one of wireless terminal devices in a smart grid, wireless terminal devices in transportation safety, wireless terminal devices in a smart city, and wireless terminal devices in a smart home, but not limited thereto.

In some embodiments, the network device 102 may include at least one of an access network device and a core network device.

In some embodiments, the access network device is, 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.

In some embodiments, the technical solution of the present disclosure may be applicable to the Open RAN architecture. In this case, the interfaces between or within the 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.

In some embodiments, the access network device may be composed of a centralized unit (CU) and a distributed unit (DU), where the CU may also be called a control unit. The CU-DU structure may be used to split the protocol layers of the access network device, with some functions of the protocol layers centrally controlled by the CU, and the remaining functions of some or all of the protocol layers distributed in the DU, which is centrally controlled by the CU, but is not limited to this.

In some embodiments, a core network device may be a single device including one or more network elements, or may be multiple devices or device groups, each including all or part of the one or more network elements. A 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), or a Next Generation Core (NGC).

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 proposed in the embodiment of the present disclosure. Ordinary technicians in this field can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution proposed in 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 FIG1 , or a portion thereof, but are not limited thereto. The entities shown in FIG1 are illustrative only. The communication system may include all or part of the entities shown in FIG1 , or may include other entities outside of FIG1 . The number and form of the entities are arbitrary, and the entities may be physical or virtual. The connection relationships between the entities are illustrative only. The entities may be connected or disconnected, and the connection may be in any manner, including direct or indirect, wired or wireless.

The embodiments of the present disclosure can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, and the fourth generation mobile communication system. communication system (4G), 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 (FX), 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) Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X) systems, systems using other CSI switching methods, and next-generation systems based on these methods. In addition, multiple systems can also be combined (for example, a combination of LTE or LTE-A and 5G).

FIG2 is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG2 , the embodiment of the present disclosure relates to a communication method, and the method includes:

Step S2101: The terminal determines a first state parameter based on the current state of the terminal or the network device.

In some embodiments, the first status parameter is used to indicate the status of a terminal or a network device. In some embodiments, the name of the first status parameter is not limited, and it can be, for example, a first parameter, a status parameter, a first status, etc.

In some embodiments, the terminal may determine the state of the terminal or the network device and thereby obtain the first state parameter. Optionally, if the first state parameter is used to indicate the current state of the network device, the network device may send information to the terminal, the information including the state parameter of the network device at the current moment.

In some embodiments, the first state parameter includes at least one of the following:

(1) Terminal speed.

In some embodiments, the speed of the terminal refers to the moving speed of the terminal. Optionally, when the terminal is in a moving state, the terminal can obtain its own speed and then determine the first state parameter of the terminal.

(2) The remaining energy of the terminal.

In some embodiments, the remaining energy of the terminal can be understood as the remaining power of the terminal. That is, the terminal determines that the first state parameter includes the remaining power of the terminal.

(3) The terminal's transmit power or operating power.

In some embodiments, the transmit power may also be understood as the transmit power of the terminal. In some embodiments, the operating power of the terminal refers to the power of the terminal when it is working.

(4) The computing power of the terminal.

In some embodiments, the computing power is expressed in FLOPs (floating point operations per second).

(5) The location of the terminal.

In some embodiments, the location of the terminal refers to the current geographical location of the terminal. It can be understood as a GPS (Global Positioning System) positioning position, or a position in a current cell, or a relative position with respect to a network device, etc., which is not limited in the embodiments of the present disclosure.

(6) The type of business performed by the terminal.

In some embodiments, the service type includes any one of audio, video, multimedia, and voice.

(7) Antenna configuration of the terminal.

In some embodiments, the antenna configuration includes the number of antenna ports of the terminal.

(8) The rotation speed of the terminal.

(9) Storage space of the terminal.

In some embodiments, the storage space is represented by bits.

In some embodiments, the first state parameter includes at least one of the following:

(1) Cell type of network equipment.

In some embodiments, the cell type includes at least one of a macro cell (Macro), a micro cell (Micro), and a dense urban cell (Dense Urban).

(2) The scenario where the network equipment is located.

In some embodiments, the network device is located indoors or outdoors.

(3) Channel quality of network equipment.

In some embodiments, the channel quality includes at least one of RSRP (Reference Signal Receiving Power), RSRQ (Reference Signal Receiving Quality), or SINR (Signal to Interference plus Noise Ratio).

(4) Frequency of network equipment.

(5) The location of network equipment.

(6) The distance between network devices and other network devices.

(7) Antenna configuration of network equipment.

In some embodiments, the antenna configuration includes any one of the number of ports and the number of MIMO (Multiple In Multiple Out) layers.

(8) Transmitting power of network equipment.

(9) Wireless network configuration of network devices.

Step S2102: The terminal determines that the first state parameter meets the first condition and sends first information to the network device.

In some embodiments, the first information is used to adjust an AI model or AI function. In some embodiments, AI model training requires collecting a large amount of data, and different application scenarios require different data. Application scenarios may include mobile communication system processes such as beam management, CSI (Channel State Information) reporting, CSI compression, positioning, handover, mobility management, and radio resource management.

In some embodiments, during the beam management process, the terminal can reduce the number of measured beams, and the terminal or base station obtains the optimal beam through AI reasoning. Beam prediction includes spatial domain beam prediction and time domain beam prediction. In spatial domain beam prediction, the terminal measures less beams. In time-domain beam prediction, the terminal predicts future beam measurement results based on historical beam measurement results.

In some embodiments, during the CSI reporting process, the terminal can compress the CSI measurement results using AI and report the compressed CSI measurement results to the base station. Upon receiving the compressed CSI measurement results, the base station can restore the original CSI measurement results using AI. This reduces the number of signaling bits required during the reporting process. The base station can also predict future CSI based on the historical CSI measurement results reported by the terminal.

In some embodiments, during the positioning process, the terminal may predict an accurate position based on limited measurement results.

In some embodiments, during mobility, a terminal can predict cell measurement results, handover target cells, or mobility events. Predicting future cell measurement results is called time-domain prediction. Alternatively, predicting measurement results for unmeasured cells is called spatial-domain prediction. Mobility events include measurement reporting condition satisfaction, handover failure, cell dwell time, and radio link failure.

In some embodiments, during the use and reasoning of AI, multiple AI models or AI functions may be required for reasoning and prediction. An AI function implements a specific function and may include one or more AI models.

In some embodiments, management of an AI model or AI function includes activation, deactivation, and switching of the AI model or function.

In some embodiments, the first state parameter is determined by the current state of the terminal or network device.

In some embodiments, the first condition includes at least one of the following:

(1) The first state parameter changes.

In the embodiment of the present disclosure, for the first state parameter obtained by the terminal, the state parameter may change at different times. If the terminal determines that the obtained first state parameter has changed, it means that the first condition is met.

(2) The first state parameter is different from the second condition.

In the embodiment of the present disclosure, the first state parameter may be compared with the second condition, and when it is determined that the first state parameter is different from the second condition, it is determined that the first condition is satisfied.

In some embodiments, the second condition refers to the condition corresponding to the AI model or AI function being used. Alternatively, the second condition refers to the condition of the network device configuration. The parameters included in the second condition are similar to the description of the first state parameter in the above embodiment. In some embodiments, the second condition is a numerical range. If the first state parameter is not within the numerical range corresponding to the second condition, it means that the first state parameter is different from the second condition. In some embodiments, the second condition is a numerical value. If the numerical value corresponding to the first state parameter is different from the numerical value corresponding to the second condition, it means that the first state parameter is different from the second condition.

For example, the second condition includes at least one of the terminal-side parameters:

(1) Terminal speed.

(2) The remaining energy of the terminal.

(3) The terminal's transmit power or operating power.

(4) The computing power of the terminal.

(5) The location of the terminal.

(6) The type of business performed by the terminal.

(7) Antenna configuration of the terminal.

(8) The rotation speed of the terminal.

(9) Storage space of the terminal.

For example, the third condition includes at least one of the parameters on the network device side:

(1) Cell type of network equipment.

(2) The scenario where the network equipment is located.

(3) Channel quality of network equipment.

(4) Frequency of network equipment.

(5) The location of network equipment.

(6) The distance between network devices and other network devices.

(7) Antenna configuration of network equipment.

(8) Transmitting power of network equipment.

(9) Wireless network configuration of network devices.

Below, an example is given to illustrate how to determine whether the second condition is met based on the first state parameter. For example, the first state parameter includes the speed of the terminal. If the speed of the terminal is different from the speed of the terminal included in the second condition, it means that the first state parameter meets the first condition. Alternatively, the first state parameter includes the speed of the terminal and the storage space of the terminal. If the speed of the terminal is different from the speed of the terminal included in the second condition, and the storage space of the terminal is different from the storage space of the terminal included in the second condition, it means that the first state parameter meets the first condition. If the first state parameter includes the transmission power of the network device, if the transmission power of the network device is different from the transmission power of the network device included in the second condition, it means that the first state parameter meets the first condition. It should be noted that the above is only an example, and the embodiments of the present disclosure do not limit the parameters included in the first state parameter or the second condition.

In some embodiments, the second condition includes at least one of the following:

1. Conditions indicated by network equipment.

In the embodiment of the present disclosure, the network device configures the second condition for the terminal, and the terminal can subsequently determine whether the first state parameter meets the first condition based on the configured second condition.

2. The conditions corresponding to the AI model being used.

In an embodiment of the present disclosure, the terminal currently uses an AI model, and the AI model corresponds to a second condition, and the condition corresponding to the AI model being used is determined as the second condition.

In some embodiments, the AI model and the second condition have a corresponding relationship. Alternatively, it can be understood that the AI model and the second condition have a one-to-one correspondence. For example, AI model A corresponds to condition 1, AI model B corresponds to condition 2, and AI model C corresponds to condition 3. If the AI model in use is AI model B, then the second condition corresponding to AI model B is determined to be condition 2.

In some embodiments, the AI model in use may also be referred to as an activated AI model.

3. Conditions corresponding to the AI function being used.

In the embodiment of the present disclosure, the terminal currently has an AI function in use, and the AI function corresponds to a second condition, and the condition corresponding to the AI function in use is determined as the second condition.

In some embodiments, the AI function being used may also be referred to as an activated AI function.

In some embodiments, AI functions and conditions have a corresponding relationship, and based on this correspondence, the condition corresponding to the AI function in use can be determined. In some embodiments, the AI function has a corresponding relationship with the second condition. Alternatively, it can be understood that the AI functions and the second conditions have a one-to-one correspondence. For example, AI function A corresponds to condition 1, AI function B corresponds to condition 2, and AI function C corresponds to condition 3. If the AI function in use is AI function B, then the second condition corresponding to AI function B is determined to be condition 2.

In some embodiments, if multiple AI models exist in a terminal and all have the same AI function, it can be understood that one AI function corresponds to multiple AI models. Therefore, when determining the conditions corresponding to the AI function, the conditions corresponding to the AI function can be determined based on the multiple AI models corresponding to the AI function. For example, AI function A1 corresponds to AI model 1, AI model 2, and AI model 3, and AI function A2 corresponds to AI model 4 and AI model 5. To determine the conditions corresponding to AI function A1, it is necessary to determine based on the conditions corresponding to AI model 1, AI model 2, and AI model 3. To determine the conditions corresponding to AI function A2, it is necessary to determine based on the conditions corresponding to AI model 4 and AI model 5.

In some embodiments, the conditions corresponding to the AI function include the conditions corresponding to at least one AI model associated with the AI function. For example, if the conditions corresponding to AI function A1 are determined, it is necessary to determine based on the conditions corresponding to AI model 1, AI model 2, and AI model 3, for example, the conditions corresponding to AI model 1 are determined as the conditions corresponding to AI function A1, or the conditions corresponding to AI model 1 and AI model 2 are determined as the conditions corresponding to AI function A1. In some embodiments, the conditions corresponding to the AI function include the conditions corresponding to all AI models associated with the AI function. For example, if the conditions corresponding to AI function A1 are determined, it is necessary to determine based on the conditions corresponding to AI model 1, AI model 2, and AI model 3, for example, the conditions corresponding to AI model 1, AI model 2, and AI model 3 are determined as the conditions corresponding to AI function A1.

It should be noted that in embodiments of the present disclosure, a network device may indicate an AI model or AI function to be used by a terminal. In some embodiments, the network device sends a second message to the terminal, and the terminal receives the second message sent by the network device. The second message indicates the AI model or AI function to be used; or the second message indicates whether to enable or disable an AI function.

(3) The first state parameter is the same as the third condition.

In some embodiments, the third condition is a numerical range. If the first state parameter is within the numerical range corresponding to the third condition, it indicates that the first state parameter is the same as the third condition. In some embodiments, the third condition is a numerical value. If the numerical value corresponding to the first state parameter is the same as the numerical value corresponding to the third condition, it indicates that the first state parameter is the same as the third condition.

For example, the third condition includes at least one of the terminal-side parameters:

(1) Terminal speed.

(2) The remaining energy of the terminal.

(3) The terminal's transmit power or operating power.

(4) The computing power of the terminal.

(5) The location of the terminal.

(6) The type of business performed by the terminal.

(7) Antenna configuration of the terminal.

(8) The rotation speed of the terminal.

(9) Storage space of the terminal.

For example, the third condition includes at least one of the parameters on the network device side:

(1) Cell type of network equipment.

(2) The scenario where the network equipment is located.

(3) Channel quality of network equipment.

(4) Frequency of network equipment.

(5) The location of network equipment.

(6) The distance between network devices and other network devices.

(7) Antenna configuration of network equipment.

(8) Transmitting power of network equipment.

(9) Wireless network configuration of network devices.

Below, an example is given to illustrate how to determine whether the third condition is met based on the first state parameter. For example, the first state parameter includes the speed of the terminal. If the speed of the terminal is the same as the speed of the terminal included in the third condition, then the first state parameter satisfies the first condition. Alternatively, the first state parameter includes the speed of the terminal and the storage space of the terminal. If the speed of the terminal is the same as the speed of the terminal included in the third condition, and the storage space of the terminal is the same as the storage space of the terminal included in the third condition, then the first state parameter satisfies the first condition. If the first state parameter includes the transmit power of the network device, if the transmit power of the network device is the same as the transmit power of the network device included in the third condition, then the first state parameter satisfies the first condition. It should be noted that the above is only an example, and the embodiments of the present disclosure do not limit the first state parameter or the parameters included in the third condition.

In some embodiments, the third condition includes at least one of the following:

1. Conditions indicated by network equipment.

2. Conditions corresponding to unused AI models.

In an embodiment of the present disclosure, an unused AI model currently exists in the terminal, and the AI model corresponds to the second condition, and the condition corresponding to the unused AI model is determined as the third condition.

In some embodiments, an unused AI model may also be referred to as an inactivated AI model.

3. Conditions corresponding to unused AI functions.

In the embodiment of the present disclosure, the terminal currently has an unused AI function, and the AI function corresponds to a third condition, and the condition corresponding to the unused AI function is determined as the third condition.

In some embodiments, unused AI functions may also be referred to as inactivated AI functions.

In some embodiments, AI functions correspond to conditions, and based on this correspondence, the corresponding conditions for unused AI functions can be determined. In some embodiments, AI functions correspond to the second condition. Alternatively, it can be understood that there is a one-to-one correspondence between AI functions and second conditions. For example, AI function A corresponds to condition 1, AI function B corresponds to condition 2, and AI function C corresponds to condition 3. If the AI function in use is AI function B, then the second condition corresponding to AI function B is determined to be condition 2.

In some embodiments, there are multiple AI models in the terminal that have the same AI function. It can be understood that one AI function corresponds to multiple AI models. When determining the conditions corresponding to the AI function, the conditions corresponding to the AI function can be determined based on the multiple AI models corresponding to the AI function. For example, AI function A1 corresponds to AI model 1, AI model 2, and AI model 3, and AI function A2 corresponds to AI model 4 and AI model 5. If the conditions corresponding to AI function A1 are determined, it is necessary to determine the corresponding conditions based on AI model 1, AI model 2, and AI model 3. If the conditions corresponding to AI function A2 are determined, they need to be determined based on the conditions corresponding to AI model 4 and AI model 5.

In some embodiments, the conditions corresponding to the AI function include the conditions corresponding to at least one AI model associated with the AI function. For example, if the conditions corresponding to AI function A1 are determined, it is necessary to determine based on the conditions corresponding to AI model 1, AI model 2, and AI model 3, for example, the conditions corresponding to AI model 1 are determined as the conditions corresponding to AI function A1, or the conditions corresponding to AI model 1 and AI model 2 are determined as the conditions corresponding to AI function A1. In some embodiments, the conditions corresponding to the AI function include the conditions corresponding to all AI models associated with the AI function. For example, if the conditions corresponding to AI function A1 are determined, it is necessary to determine based on the conditions corresponding to AI model 1, AI model 2, and AI model 3, for example, the conditions corresponding to AI model 1, AI model 2, and AI model 3 are determined as the conditions corresponding to AI function A1.

It should be noted that in embodiments of the present disclosure, a network device may indicate an AI model or AI function to be used by a terminal. In some embodiments, the network device sends a second message to the terminal, and the terminal receives the second message sent by the network device. The second message indicates the AI model or AI function to be used; or the second message indicates whether to enable or disable an AI function.

In the embodiment of the present disclosure, the second information is used to indicate the AI model or AI function in use, and can also be understood as the network device instructing the terminal through the second information to adjust the AI model or AI function in use to the AI model or AI function indicated by the second information. Alternatively, the second information can also be understood as the network device instructing the terminal through the second information to switch to the AI model or AI function to be used in the future. For example, after receiving the second information, the terminal switches the AI model or AI function in use to the AI model or AI function indicated by the second information. Alternatively, after receiving the second information, the terminal deactivates the AI model or AI function in use and sets the AI model or AI function indicated by the second information to be enabled.

In some embodiments, the terminal determines that the first state parameter satisfies the first condition and sends the first information to the network device, including: the terminal determines that the first state parameter satisfies the first condition, and the duration for which the first state parameter satisfies the first condition is greater than or equal to the first duration, and sends the first information to the network device.

In some embodiments, the first information includes at least one of the following:

(1) First state parameter.

In an embodiment of the present disclosure, the terminal may report the first state parameter to the network device. After obtaining the first state parameter, the network device may adjust the AI model or AI function based on the first state parameter.

In some embodiments, adjusting the AI model or AI function can be understood as turning the AI model or AI function on or off, or switching the AI model or AI function, etc., which is not limited in the embodiments of the present disclosure.

(2) AI model corresponding to the first state parameter.

In the embodiment of the present disclosure, the first state parameter also corresponds to an AI model, so the corresponding AI model can be determined through the first state parameter, and the AI model can be reported subsequently.

(3) AI function corresponding to the first state parameter.

In the embodiment of the present disclosure, the first state parameter also corresponds to an AI function, so the corresponding AI function can be determined through the first state parameter, and the AI function can be reported subsequently.

Step S2103: The network device receives the first information sent by the terminal.

In the embodiment of the present disclosure, after the network device receives the first information sent by the terminal, it can determine the AI model based on the first information. or the operation of the AI function, and subsequently adjust the AI model or AI function based on the operation of the AI model or AI function.

Step S2104: The network device adjusts the AI model or AI function based on the first information.

In some embodiments, if the first information includes an AI model corresponding to the first state parameter, it indicates that the AI model satisfies the first condition and is suitable for the current state, and the network device can instruct the use of the AI model. Optionally, the network device instructs the deactivation of the AI model currently in use and the activation of the AI model corresponding to the first state parameter.

In some embodiments, if the first information includes an AI function corresponding to the first state parameter, it indicates that the AI function is a model that meets the first condition, indicating that the AI function is in compliance with the current state, and the network device can instruct the use of the AI function. Optionally, the network device instructs the deactivation of the AI function in use and the activation of the AI function corresponding to the first state parameter.

In some embodiments, if the first information includes a first state parameter, it indicates that the first state parameter satisfies the first condition, and the network device may instruct the use of the AI model or AI function corresponding to the first state parameter. Optionally, the network device instructs the deactivation of the AI model or AI function currently in use and the activation of the AI model or AI function corresponding to the first state parameter.

The communication method involved in the embodiments of the present disclosure may include at least one of steps S2101 to S2104. For example, step S2101 can be implemented as an independent embodiment, step S2102 can be implemented as an independent embodiment, step S2103 can be implemented as an independent embodiment, step S2104 can be implemented as an independent embodiment, steps S2101 and S2102 can be implemented as independent embodiments, steps S2101 and S2103 can be implemented as independent embodiments, steps S2101 and S2104 can be implemented as independent embodiments, steps S2102 and S2103 can be implemented as independent embodiments, steps S2102 and S2104 can be implemented as independent embodiments, and steps S2103 and S2104 can be implemented as independent embodiments, but the present invention is not limited thereto.

In some embodiments, step S2101 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

In some embodiments, step S2102 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

In some embodiments, step S2103 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

In some embodiments, step S2104 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 2 .

In some embodiments, the names of information, etc. are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codeword", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

In some embodiments, the terms "uplink", "uplink", "physical uplink" and the like can be used interchangeably, and "downlink", "downlink" and the like can be used interchangeably. The terms "physical downlink" and "sidelink" can be used interchangeably, and the terms "side", "sidelink", "side communication", "sidelink communication", "direct connection", "direct link", "direct communication", and "direct link communication" can be used interchangeably.

In some embodiments, "obtain", "get", "get", "receive", "transmit", "bidirectional transmission", "send and/or receive" can be interchangeable, and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining by self-processing, autonomous implementation, etc.

In some embodiments, terms such as "send", "transmit", "report", "download", "transmit", "bidirectional transmission", "send and/or receive" can be used interchangeably.

In some embodiments, terms such as "moment", "time point", "time", and "time position" can be replaced with each other, and terms such as "duration", "period", "time window", "window", and "time" can be replaced with each other.

In some embodiments, terms such as "certain", "preset", "preset", "setting", "indicated", "a certain", "any", and "first" can be interchangeable. "Specific A", "preset A", "preset A", "setting A", "indicated A", "a certain A", "any A", and "first A" can be interpreted as A pre-specified in a protocol, etc., or as A obtained through setting, configuration, or indication, etc., or as specific A, a certain A, any A, or first A, etc., but not limited to this.

FIG3A is a flow chart of a communication method according to an embodiment of the present disclosure, which is applied to an IoT device. As shown in FIG3A , the embodiment of the present disclosure relates to a communication method, which includes:

Step S3101: The terminal determines a first state parameter based on the current state of the terminal or the network device.

The optional implementation of step S3101 can refer to the optional implementation of step S2101 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

Step S3102: The terminal determines that the first state parameter meets the first condition and sends first information to the network device.

The optional implementation of step S3102 can refer to the optional implementation of step S2102 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

The communication method involved in the embodiment of the present disclosure may include at least one of steps S3101 to S3102. For example, step S3101 may be implemented as an independent embodiment, and step S3102 may be implemented as an independent embodiment.

FIG3B is a flow chart of a communication method according to an embodiment of the present disclosure, which is applied to an IoT device. As shown in FIG3B , the embodiment of the present disclosure relates to a communication method, which includes:

Step S3201: The terminal determines that a first state parameter satisfies a first condition and sends first information to a network device.

The optional implementation of step S3201 can refer to the optional implementation of step S2102 in Figure 2 and other related parts in the embodiment involved in Figure 2, which will not be repeated here.

FIG4A is a flow chart of a communication method according to an embodiment of the present disclosure, which is applied to a network device. As shown in FIG4A , the embodiment of the present disclosure relates to a communication method, which includes:

Step S4101: The network device receives first information sent by the terminal.

Optional implementations of step S4101 may refer to step S2103 of FIG. 2 and other related parts of the embodiment involved in FIG. 2 . I will not go into details here.

Step S4102: The network device adjusts the AI model or AI function based on the first information.

The optional implementation of step S4102 can be found in step S2104 of FIG. 2 and other related parts of the embodiment involved in FIG. 2 , which will not be described in detail here.

The communication method involved in the embodiment of the present disclosure may include at least one of steps S4101 to S4102. For example, step S4101 may be implemented as an independent embodiment, and step S4102 may be implemented as an independent embodiment.

FIG4B is a flow chart of a communication method according to an embodiment of the present disclosure, which is applied to a network device. As shown in FIG4B , the embodiment of the present disclosure relates to a communication method, which includes:

Step S4201: The network device receives first information sent by the terminal.

The optional implementation of step S4201 can be found in step S2103 of FIG. 2 and other related parts of the embodiment involved in FIG. 2 , which will not be described in detail here.

In some embodiments, the first condition includes at least one of the following:

The first state parameter changes;

The first state parameter is different from the second condition.

The first state parameter is the same as the third condition.

In some embodiments, the second condition includes at least one of the following:

a condition indicated by the network device;

The conditions corresponding to the AI model being used;

The conditions corresponding to the AI function being used.

In some embodiments, the method further comprises:

Sending second information to the terminal, where the second information is used to indicate the AI model used or the AI function used; or, the second information is used to indicate whether to start or shut down the AI function.

In some embodiments, the third condition includes at least one of the following:

a condition indicated by the network device;

Conditions corresponding to unused AI models;

Conditions corresponding to unused AI functions.

In some embodiments, the condition corresponding to the AI function includes a condition corresponding to at least one AI model associated with the AI function; or

The conditions corresponding to the AI function include conditions corresponding to all AI models associated with the AI function.

In some embodiments, the first information includes at least one of the following:

the first state parameter;

A model corresponding to the first state parameter;

The AI function corresponding to the first state parameter.

In some embodiments, the first state parameter includes at least one of the following:

the speed of the terminal;

the remaining energy of the terminal;

the transmit power or operating power of the terminal;

the computing capability of the terminal;

the location of the terminal;

The type of service executed by the terminal;

antenna configuration of the terminal;

the rotational speed of the terminal;

The storage space of the terminal.

In some embodiments, the first state parameter includes at least one of the following:

a cell type of the network device;

The scenario in which the network device is located;

Channel quality of the network device;

the frequency of the network device;

the location of the network device;

The distance between the network device and other network devices;

Antenna configuration of the network device;

The transmission power of the network device;

The wireless network configuration of the network device.

FIG5 is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG5 , the embodiment of the present disclosure relates to a communication method, and the method includes:

Step S5101: The terminal determines that the first state parameter meets the first condition and sends first information to the network device.

In some embodiments, the first information is used to adjust the AI model or AI function, and the first state parameter is determined by the current state of the terminal or the network device.

The optional implementation of step S5101 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 S5102: The network device receives the first information sent by the terminal.

The optional implementation of step S5102 can be found in step S2103 of FIG. 2A and other related parts of the embodiment involved in FIG. 2A , which will not be described in detail here.

In some embodiments, the above method may include the methods of the above embodiments of the communication system side, terminal side, network device side, etc., which will not be repeated here.

FIG6 is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG6 , the embodiment of the present disclosure relates to a communication method, and the method includes:

Step S6101: The terminal determines that the application condition meets a specific condition and sends first information to the network.

In some embodiments, the application condition may be a terminal side condition or a network side condition.

In some embodiments, the application condition can be a threshold (speed, battery level, power, computing capability, storage space, wireless channel quality, transmission power, etc.), a range (location, distance between base stations, etc.), or a type (service type, antenna configuration, Numerology, etc.).

In some embodiments, the specific conditions include at least one of the following:

-Current application conditions have changed

- The current application condition is different from the first application condition

-The current application condition is the same as the second application condition

In some embodiments, when the specific condition is continuously satisfied for a certain period of time, it is determined that the specific condition is satisfied.

Optionally, the duration may be specified by network configuration or protocol.

In some embodiments, the first application condition may be at least one of the following:

- Determined based on the first indication sent by the network

-Application conditions corresponding to the AI model being used

-Application conditions corresponding to the AI functions being used

Optionally, the set of application models of all AI models in the AI function serves as the application condition of the AI function

In some embodiments, the second application condition may be at least one of the following:

- Determined based on the second indication sent by the network

-Application conditions corresponding to unused candidate AI models

-Application conditions corresponding to unused candidate AI functions

Optionally, the set of application models of all AI models in the AI function serves as the application condition of the AI function

Optionally, the terminal may be configured with multiple AI models or functions, and in addition to the currently used AI model or function, other AI models or functions are candidate AI models or functions.

In some embodiments, the first information includes at least one of the following:

-Currently satisfied application conditions

-AI models corresponding to current application conditions

- AI functions corresponding to current application conditions

As an example, the AI model and function may be indicated by an identifier.

In some embodiments, the terminal receives a third indication sent by the network, indicating at least one of the following information:

-The AI model or AI function used.

- Enable or disable AI function.

In the embodiments of the present disclosure, some or all of the steps and their optional implementations may be arbitrarily combined with some or all of the steps in other embodiments, or may be arbitrarily combined with the optional implementations of other embodiments.

The present disclosure also provides an apparatus for implementing any of the above methods. For example, a device is provided, the device comprising: For example, another device is proposed, comprising units or modules for implementing the steps executed by a network device (e.g., access network device, core network function node, core network device, etc.) in any of the above methods.

It should be understood that the division of the various units or modules in the above device is only a division of logical functions. In actual implementation, they can be fully or partially integrated into one physical entity, or they can be physically separated. 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 various 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 within 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 above-mentioned hardware circuits may be understood as one or more processors. For example, in one implementation, the above-mentioned hardware circuit is an application-specific integrated circuit (ASIC), and the functions of some or all of the above-mentioned units or modules may be implemented by designing the logical relationship between the components in the circuit. For another example, in another implementation, the above-mentioned hardware circuit may be implemented by a programmable logic device (PLD). Taking a field programmable gate array (FPGA) as an example, it may include a large number of logic gate circuits, and the connection relationship between the logic gate circuits may be configured through a configuration file, thereby implementing the functions of some or all of the above-mentioned units or modules. All units or modules of the above-mentioned devices may be implemented entirely by the processor calling software, or entirely by hardware circuits, or partially by the processor calling software, and the remaining part by hardware circuits.

In the embodiments of the present disclosure, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction reading and execution capabilities, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationship of a hardware circuit. The logical relationship of the above-mentioned hardware circuit is fixed or reconfigurable. For example, the processor is 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 can 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 the Neural Network Processing Unit (NPU), the Tensor Processing Unit (TPU), the Deep Learning Processing Unit (DPU), etc.

Figure 7A is a structural diagram of a communication device proposed in an embodiment of the present disclosure. As shown in Figure 7A, the communication device 7100 may include: at least one of a transceiver module 7101, a processing module 7102, etc. In some embodiments, the transceiver module 7101 is used for the terminal to determine that a first state parameter satisfies a first condition and to send a first information to a network device, wherein the first information is used to adjust the AI model or AI function, and the first state parameter is determined by the current state of the terminal or the network device. Optionally, the transceiver module 7101 is used to execute at least one of the communication steps such as sending and/or receiving executed by the terminal in any of the above methods (for example, step S2101 but not limited thereto), which will not be repeated here. Optionally, the processing module is used to execute at least one of the other steps executed by the terminal in any of the above methods, which will not be repeated here.

Optionally, the processing module 7102 is used to execute at least one of the communication steps such as processing performed by the terminal in any of the above methods, which will not be repeated here.

Figure 7B is a structural diagram of the communication device proposed in an embodiment of the present disclosure. As shown in Figure 7B, the communication 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 a first message sent by a terminal, and the first message is sent when the terminal determines that the first state parameter meets the first condition, and the first information is used to adjust the AI model or AI function, and the first state parameter is determined by the current state of the terminal or the network device. Optionally, the above-mentioned transceiver module is used to execute at least one of the communication steps such as sending and/or receiving performed by the network device in any of the above methods (such as step S2102 but not limited thereto), which will not be repeated here.

Optionally, the processing module 7202 is used to execute at least one of the communication steps such as processing performed by the network device in any of the above methods, which will not be repeated here.

In some embodiments, the transceiver module may include a transmitting module and/or a receiving module, and the transmitting module and the receiving module may be separate or integrated. Optionally, the transceiver module may be interchangeable with the transceiver.

In some embodiments, the processing module can be a single module or can include multiple submodules. Optionally, the multiple submodules respectively execute all or part of the steps required to be executed by the processing module. Optionally, the processing module can be interchangeable with the processor.

Figure 8A is a schematic diagram of the structure of a communication device 8100 proposed in an embodiment of the present disclosure. Communication device 8100 can be a network device (e.g., an access network device, a core network device, etc.), a terminal, a chip, a chip system, or a processor that supports a network device to implement any of the above methods, or a chip, a chip system, or a processor that supports a terminal to implement any of the above methods. Communication device 8100 can be used to implement the methods described in the above method embodiments. For details, please refer to the description of the above method embodiments.

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 communication protocols and communication data, and the central processing unit can be used to control the communication device (such as a base station, baseband chip, terminal, terminal chip, DU or CU, etc.), execute programs, and process program data. The communication device 8100 is used to perform any of the above methods.

In some embodiments, the communication device 8100 further includes one or more memories 8102 for storing instructions. Optionally, all or part of the memories 8102 may be located outside the communication device 8100.

In some embodiments, the communication device 8100 further includes one or more transceivers 8103. When the communication device 8100 includes one or more transceivers 8103, the transceiver 8103 performs at least one of the communication steps such as sending and/or receiving in the above method (for example, step S2101, step S2102, step S2103, step S2104, but not limited thereto).

In some embodiments, a transceiver may include a receiver and/or a transmitter. The receiver and transmitter may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, and transceiver circuit may be used interchangeably; the terms transmitter, transmitting unit, transmitter, and transmitting circuit may be used interchangeably; and the terms receiver, receiving unit, receiver, and receiving circuit may be used interchangeably.

In some embodiments, the communication device 8100 may include one or more interface circuits 8104. Optionally, the interface circuit 8104 is connected to the memory 8102. The interface circuit 8104 may be used to receive signals from the memory 8102 or other devices, and may be used to send signals to the memory 8102 or other devices. For example, the interface circuit 8104 may read instructions stored in the memory 8102 and send the instructions to the memory 8102. Processor 8101.

The communication device 8100 described in the above embodiment 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 or programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal, an intelligent terminal, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

FIG8B is a schematic diagram of the structure of a chip 8200 according to an embodiment of the present disclosure. If the communication device 8100 can be a chip or a chip system, please refer to the schematic diagram of the structure of the chip 8200 shown in FIG8B , but the present disclosure is not limited thereto.

The chip 8200 includes one or more processors 8201 , and the chip 8200 is configured to execute any of the above methods.

In some embodiments, the chip 8200 further includes one or more interface circuits 8202. Optionally, the interface circuit 8202 is connected to the memory 8203. The interface circuit 8202 can be used to receive signals from the memory 8203 or other devices, and can be used to send signals to the memory 8203 or other devices. For example, the interface circuit 8202 can read instructions stored in the memory 8203 and send the instructions to the processor 8201.

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, and the processor 8201 performs at least one of the other steps.

In some embodiments, terms such as interface circuit, interface, transceiver pin, and transceiver may be used interchangeably.

In some embodiments, the chip 8200 further includes one or more memories 8203 for storing instructions. Alternatively, all or part of the memories 8203 may be outside the chip 8200.

The present disclosure also proposes a storage medium having instructions stored thereon, which, when executed on the communication device 8100, causes the communication device 8100 to execute 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.

The present disclosure also provides a program product, which, when executed by the communication device 8100, enables the communication device 8100 to perform any of the above methods. Optionally, 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 perform any one of the above methods.

Claims (25)

A communication method, characterized in that the method is executed by a terminal, and the method includes: Determine that a first state parameter meets a first condition, and send first information to the network device, where the first information is used to adjust the AI model or AI function, and the first state parameter is determined by the current state of the terminal or the network device. The method according to claim 1, wherein the first condition includes at least one of the following: The first state parameter changes; The first state parameter is different from the second condition. The first state parameter is the same as the third condition. The method according to claim 2, wherein the second condition includes at least one of the following: a condition indicated by the network device; The conditions corresponding to the AI model being used; The conditions corresponding to the AI function being used. The method according to claim 3, further comprising: Receive second information sent by the network device, where the second information is used to indicate the AI model used or the AI function used; or, the second information is used to indicate whether to start or shut down the AI function. The method according to claim 2, wherein the third condition includes at least one of the following: a condition indicated by the network device; Conditions corresponding to unused AI models; Conditions corresponding to unused AI functions. The method according to any one of claims 3 to 5, wherein the condition corresponding to the AI function includes a condition corresponding to at least one AI model associated with the AI function; or The conditions corresponding to the AI function include conditions corresponding to all AI models associated with the AI function. The method according to any one of claims 1 to 6, wherein the terminal determines that the first state parameter satisfies the first condition, and sends the first information to the network device, comprising: The terminal determines that the first state parameter meets the first condition, and the duration for which the first state parameter meets the first condition is greater than or equal to the first duration, and sends the first information to the network device. The method according to any one of claims 1 to 7, wherein the first information includes at least one of the following: the first state parameter; The AI model corresponding to the first state parameter; The AI function corresponding to the first state parameter. The method according to any one of claims 1 to 8, wherein the first state parameter includes at least one of the following: the speed of the terminal; the remaining energy of the terminal; the transmit power or operating power of the terminal; the computing capability of the terminal; the location of the terminal; The type of service executed by the terminal; antenna configuration of the terminal; the rotational speed of the terminal; The storage space of the terminal. The method according to any one of claims 1 to 8, wherein the first state parameter includes at least one of the following: a cell type of the network device; The scenario in which the network device is located; Channel quality of the network device; the frequency of the network equipment; the location of the network device; The distance between the network device and other network devices; Antenna configuration of the network device; The transmission power of the network device; The wireless network configuration of the network device. A communication method, characterized in that the method is performed by a network device, and the method comprises: The first information is sent by the receiving terminal, where the first information is sent when the terminal determines that the first state parameter meets the first condition, the first information is used to adjust the AI model or AI function, and the first state parameter is determined by the current state of the terminal or the network device. The method according to claim 11, wherein the first condition includes at least one of the following: The first state parameter changes; The first state parameter is different from the second condition. The first state parameter is the same as the third condition. The method according to claim 12, wherein the second condition includes at least one of the following: a condition indicated by the network device; The conditions corresponding to the AI model being used; The conditions corresponding to the AI function being used. The method according to claim 13, further comprising: Sending second information to the terminal, where the second information is used to indicate the AI model used or the AI function used; or, the second information is used to indicate whether to start or shut down the AI function. The method according to claim 12, wherein the third condition includes at least one of the following: a condition indicated by the network device; Conditions corresponding to unused AI models; Conditions corresponding to unused AI functions. The method according to any one of claims 13 to 15, wherein the condition corresponding to the AI function includes a condition corresponding to at least one AI model associated with the AI function; or The conditions corresponding to the AI function include conditions corresponding to all AI models associated with the AI function. The method according to any one of claims 11 to 16, wherein the first information includes at least one of the following: the first state parameter; A model corresponding to the first state parameter; The AI function corresponding to the first state parameter. The method according to any one of claims 11 to 17, wherein the first state parameter includes at least one of the following: the speed of the terminal; the remaining energy of the terminal; the transmit power or operating power of the terminal; the computing capability of the terminal; the location of the terminal; The type of service executed by the terminal; antenna configuration of the terminal; the rotational speed of the terminal; The storage space of the terminal. The method according to any one of claims 11 to 17, wherein the first state parameter includes at least one of the following: a cell type of the network device; The scenario in which the network device is located; Channel quality of the network device; the frequency of the network equipment; the location of the network device; The distance between the network device and other network devices; Antenna configuration of the network device; The transmission power of the network device; The wireless network configuration of the network device. A communication device, characterized in that the communication device comprises: A transceiver module is used for the terminal to determine that a first state parameter meets a first condition and send first information to a network device, where the first information is used to adjust the AI model or AI function, and the first state parameter is determined by the current state of the terminal or the network device. A communication device, characterized in that the communication device comprises: A transceiver module is used to receive first information sent by a terminal, where the first information is sent when the terminal determines that the first state parameter meets a first condition, and the first information is used to adjust the AI model or AI function, where the first state parameter is determined by the current state of the terminal or the network device. A terminal, characterized in that the terminal comprises: one or more processors; The processor is configured to execute the communication method according to any one of claims 1 to 10. A network device, characterized in that the network device comprises: one or more processors; The processor is configured to execute the communication method according to any one of claims 11 to 19. A storage medium storing instructions, characterized in that when the instructions are executed on a communication device, the communication device executes the communication method according to any one of claims 1 to 19. A computer program product, characterized in that when the computer program product is run on a communication device, the communication device is caused to execute the communication method according to any one of claims 1 to 19.