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WO2025190252A1 - Procédé de communication et appareil associé - Google Patents

Procédé de communication et appareil associé

Info

Publication number
WO2025190252A1
WO2025190252A1 PCT/CN2025/081743 CN2025081743W WO2025190252A1 WO 2025190252 A1 WO2025190252 A1 WO 2025190252A1 CN 2025081743 W CN2025081743 W CN 2025081743W WO 2025190252 A1 WO2025190252 A1 WO 2025190252A1
Authority
WO
WIPO (PCT)
Prior art keywords
information
time information
radio
processing result
communication
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
PCT/CN2025/081743
Other languages
English (en)
Chinese (zh)
Inventor
王坚
李梦圆
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Huawei Technologies Co Ltd
Original Assignee
Huawei Technologies Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Huawei Technologies Co Ltd filed Critical Huawei Technologies Co Ltd
Publication of WO2025190252A1 publication Critical patent/WO2025190252A1/fr
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition

Definitions

  • the present application relates to the field of communications, and in particular to a communication method and related devices.
  • radio map models are widely used in various radio network tasks, including but not limited to network planning, interference control, path loss prediction, signal strength prediction, power control, resource allocation, handover management, multi-hop routing, dynamic spectrum access and cognition.
  • the input of a radio map model may include information about a specific location, and the radio information output by the radio map model may include the path loss at that location.
  • the input of a radio map model may include information about a specific communication environment, and the radio signal strength of the user in that communication environment is determined.
  • the present application provides a communication method and related devices for improving the accuracy of radio information.
  • the present application provides a communication method, which is performed by a first communication device.
  • the first communication device may be a communication device (such as a terminal device or a network device), or the first communication device may be a component of the communication device (such as a processor, a chip, or a chip system, etc.), or the first communication device may also be a logic module or software that can implement all or part of the functions of the communication device.
  • the first communication device sends first information, where the first information includes first time information; the first communication device receives radio information corresponding to the first time information, where the radio information corresponding to the first time information is determined based on the first information.
  • the first communication device can receive the radio information corresponding to the first time information.
  • the first communication device as the requester of the radio information, can specify the time information through the first information to obtain the radio information corresponding to the time information. Since the communication status at different times may be different (for example, different communication interference, different communication configuration parameters, etc.), the radio information corresponding to different times may also be different.
  • the way in which the first communication device obtains the radio information corresponding to the time information expected (or indicated, or specified) by the first communication device through the radio map model can enable the radio information obtained by the first communication device to correspond to the time information, so as to improve the accuracy of the radio information.
  • the radio map model can be a mathematical model, an artificial intelligence (AI) model, a neural network, a neural network model, an AI neural network model, a machine learning model, an AI processing model, etc.
  • AI artificial intelligence
  • the time indicated by the first time information may include historical time, current time, future time, etc.
  • the first time information corresponds to the radio information, which may include radio information of historical time (which can be used for historical status query), real-time radio information (which can be used for real-time status access), and radio information of future time (which can be used for future status prediction).
  • the first information includes communication status information corresponding to the first time information, second time information, and communication status information corresponding to the second time information; the first time information is different from the second time information; wherein the first time information, the communication status information corresponding to the first time information, the second time information, and the communication status information corresponding to the second time information are used to determine a first processing result, and the first processing result is used to determine the radio information corresponding to the first time information.
  • the first information sent by the first communication device can also be used to determine a first processing result, where the first processing result can be determined based on the first time information, the communication status information corresponding to the first time information, the second time information, and the communication status information corresponding to the second time information.
  • the first processing result can include a time-related processing result obtained by processing one or more time information and the communication status information corresponding to at least one time information.
  • the radio information corresponding to the first time information can be determined based on the time-related processing result, so that the radio information can be obtained based on the time-related processing result.
  • the communication state information corresponding to the first time information is used to determine a second processing result, and the second processing result is used to determine the radio information corresponding to the first time information.
  • the communication status information corresponding to the first time information contained in the first information sent by the first communication device can be used to determine the second processing result, that is, the recipient of the first information can determine the second processing result based on the communication status information corresponding to the first time information, and determine the radio information corresponding to the first time information based on the second processing result.
  • the second processing result may include a basic processing result (or a processing result that is not related to time) obtained by processing based on the communication status information corresponding to the first time information.
  • the radio information corresponding to the first time information can be determined by the time-related processing result and the basic processing result, so that the radio information can be obtained through the time-related processing result and the basic processing result.
  • the first information further includes a second processing result determined based on the communication state information corresponding to the first time information, and the second processing result is used to determine the radio information corresponding to the first time information.
  • the first information sent by the first communication device includes a second processing result.
  • the basis for determining the radio information corresponding to the first time information may include, in addition to the first processing result, a second processing result determined based on the communication status information corresponding to the first time information.
  • the second processing result may include a basic processing result obtained by processing the communication status information corresponding to the first time information.
  • the first information further includes radio information corresponding to the second time information, and the radio information corresponding to the second time information is used to determine the first processing result.
  • the first information may further include radio information corresponding to the second time information, so that the receiver of the first information can determine the first processing result based on the radio information corresponding to the second time information. In this way, the implementation complexity of the receiver of the first information can be reduced.
  • the radio information corresponding to the second time information can be used as tag information, which can improve the performance of the radio information determined by the receiver of the first information based on the first information.
  • the first information includes a first processing result; wherein the first processing result is determined based on the first time information, the communication status information corresponding to the first time information, the second time information, and the communication status information corresponding to the second time information.
  • the first information sent by the first communication device may further include a first processing result, where the first processing result may include a time-related processing result obtained by processing one or more time information and communication state information corresponding to at least one time information.
  • the radio information corresponding to the first time information can be determined based on the time-related processing result, thereby obtaining the radio information based on the time-related processing result, and reducing the implementation complexity of the receiver of the first information.
  • the first information also includes communication status information corresponding to the first time information; wherein the communication status information corresponding to the first time information is used to determine the second processing result, and the second processing result is used to determine the radio information corresponding to the first time information.
  • the communication status information corresponding to the first time information included in the first information sent by the first communication device can be used to determine the second processing result. That is, the recipient of the first information can determine the second processing result based on the communication status information corresponding to the first time information, and determine the radio information corresponding to the first time information based on the second processing result. In this way, the radio information corresponding to the first time information can be determined using the time-related processing result and the basic processing result, so that the radio information can be obtained using the time-related processing result and the basic processing result.
  • the first information further includes a second processing result determined based on the communication state information corresponding to the first time information, and the second processing result is used to determine the radio information corresponding to the first time information.
  • the first information sent by the first communication device includes a second processing result.
  • the basis for determining the radio information corresponding to the first time information may include, in addition to the first processing result, a second processing result determined based on the communication status information corresponding to the first time information.
  • the second processing result may include a basic processing result obtained by processing the communication status information corresponding to the first time information.
  • a second aspect of the present application provides a communication method, which is performed by a second communication device, which may be a communication device (e.g., a terminal device or a network device), or a component of a communication device (e.g., a processor, a chip, or a chip system), or a logic module or software that can implement all or part of the functions of the communication device.
  • the second communication device receives first information, which includes first time information; the second communication device sends radio information corresponding to the first time information, wherein the radio information corresponding to the first time information is determined based on the first information.
  • the second communication device can send the radio information corresponding to the first time information to the first communication device.
  • the first communication device acts as the requestor of the radio information, and the first communication device can specify the time information through the first information to obtain the radio information corresponding to the time information. Since the communication status at different times may be different (for example, different communication interference, different communication configuration parameters, etc.), the radio information corresponding to different times may also be different.
  • the second communication device obtains and provides the radio information corresponding to the time information expected (or indicated, or specified) by the first communication device through the radio map model, so that the radio information obtained by the first communication device can correspond to the time information, so as to improve the accuracy of the radio information.
  • the first information received by the second communication device can also be used to determine a first processing result, wherein the first processing result can be determined based on the first time information, the communication status information corresponding to the first time information, the second time information, and the communication status information corresponding to the second time information.
  • the first processing result can include a time-related processing result obtained by processing one or more time information and the communication status information corresponding to at least one time information.
  • the radio information corresponding to the first time information can be determined based on the time-related processing result, so that the radio information can be obtained based on the time-related processing result.
  • the communication state information corresponding to the first time information is used to determine a second processing result
  • the second processing result is used to determine the radio information corresponding to the first time information.
  • the first information further includes a second processing result determined based on the communication state information corresponding to the first time information, and the second processing result is used to determine the radio information corresponding to the first time information.
  • the first information received by the second communication device includes a second processing result.
  • the basis for determining the radio information corresponding to the first time information may include, in addition to the first processing result, a second processing result determined based on the communication status information corresponding to the first time information.
  • the second processing result may include a basic processing result obtained by processing the communication status information corresponding to the first time information.
  • the first information further includes radio information corresponding to the second time information, and the radio information corresponding to the second time information is used to determine the first processing result.
  • the first information may further include radio information corresponding to the second time information, so that the second communication device can determine the first processing result based on the radio information corresponding to the second time information. In this way, the implementation complexity of the second communication device can be reduced.
  • the radio information corresponding to the second time information can be used as tag information, which can improve the performance of the radio information determined by the second communication device based on the first information.
  • the first information includes a first processing result; wherein the first processing result is determined based on the first time information, the communication status information corresponding to the first time information, the second time information, and the communication status information corresponding to the second time information.
  • the first information received by the second communication device may further include a first processing result, where the first processing result may include a time-related processing result obtained by processing one or more time information and communication state information corresponding to at least one time information.
  • the radio information corresponding to the first time information can be determined based on the time-related processing result, thereby obtaining the radio information based on the time-related processing result and reducing the implementation complexity of the second communication device.
  • the first information also includes communication status information corresponding to the first time information; wherein the communication status information corresponding to the first time information is used to determine the second processing result, and the second processing result is used to determine the radio information corresponding to the first time information.
  • the communication status information corresponding to the first time information included in the first information received by the second communication device can be used to determine the second processing result. That is, the second communication device can determine the second processing result based on the communication status information corresponding to the first time information, and determine the radio information corresponding to the first time information based on the second processing result. In this way, the radio information corresponding to the first time information can be determined using the time-related processing result and the basic processing result, so that the radio information can be obtained using the time-related processing result and the basic processing result.
  • the first information further includes a second processing result determined based on the communication state information corresponding to the first time information, and the second processing result is used to determine the radio information corresponding to the first time information.
  • the first information received by the second communication device includes a second processing result.
  • the basis for determining the radio information corresponding to the first time information may include, in addition to the first processing result, a second processing result determined based on the communication status information corresponding to the first time information.
  • the second processing result may include a basic processing result obtained by processing the communication status information corresponding to the first time information.
  • the third aspect of the present application provides a communication device, which is a first communication device, and includes a transceiver unit and a processing unit; the processing unit is used to determine first information; the transceiver unit is used to send first information, and the first information includes first time information; the transceiver unit is also used to receive radio information corresponding to the first time information, wherein the radio information corresponding to the first time information is determined based on the first information.
  • the constituent modules of the communication device can also be used to execute the steps performed in each possible implementation method of the first aspect and achieve corresponding technical effects.
  • the constituent modules of the communication device can also be used to execute the steps performed in each possible implementation method of the first aspect and achieve corresponding technical effects.
  • the fourth aspect of the present application provides a communication device, which is a second communication device, and includes a transceiver unit and a processing unit.
  • the transceiver unit is used to receive first information, and the first information includes first time information; the processing unit is used to determine the radio information corresponding to the first time information; the transceiver unit is also used to send the radio information corresponding to the first time information, wherein the radio information corresponding to the first time information is determined based on the first information.
  • the constituent modules of the communication device can also be used to execute the steps performed in each possible implementation method of the second aspect and achieve corresponding technical effects.
  • the constituent modules of the communication device can also be used to execute the steps performed in each possible implementation method of the second aspect and achieve corresponding technical effects.
  • the present application provides a communication device, comprising at least one processor coupled to a memory; the memory is configured to store programs or instructions; the at least one processor is configured to execute the programs or instructions, so that the device implements the method described in any possible implementation of any one of the first to second aspects.
  • the communication device may include the memory.
  • the present application provides a communication device comprising at least one logic circuit and an input/output interface; the logic circuit is used to execute the method described in any possible implementation of any one of the first to second aspects.
  • the present application provides a communication system, which includes the above-mentioned first communication device and second communication device.
  • the present application provides a computer-readable storage medium for storing one or more computer-executable instructions.
  • the processor executes the method described in any possible implementation of any one of the first to second aspects above.
  • the present application provides a computer program product (or computer program).
  • the processor executes the method described in any possible implementation of any one of the first to second aspects above.
  • the present application provides a chip or chip system, the chip or chip system including at least one processor configured to support a communication device in implementing the method described in any possible implementation of any one of the first to second aspects.
  • the chip may be a baseband chip, a modem chip, a system-on-chip (SoC) chip including a modem core, a system-in-package (SIP) chip, or a communication module.
  • SoC system-on-chip
  • SIP system-in-package
  • the chip or chip system may further include a memory for storing program instructions and data necessary for the communication device.
  • the chip system may be composed of a chip or may include a chip and other discrete components.
  • the chip system also includes an interface circuit that provides program instructions and/or data to the at least one processor.
  • the technical effects brought about by any design method in the third to tenth aspects can refer to the technical effects brought about by the different design methods in the above-mentioned first to second aspects, and will not be repeated here.
  • FIGS. 1a to 1c are schematic diagrams of a communication system provided by this application.
  • FIGS 1d, 1e, and 2a to 2e are schematic diagrams of the AI processing process involved in this application;
  • FIG2 f is a schematic diagram of a radio map model involved in this application.
  • FIG3 is an interactive schematic diagram of the communication method provided by this application.
  • FIGS 4 and 5 are some schematic diagrams of the radio map model provided by this application.
  • FIGS. 6a to 6c are some schematic diagrams of the radio map model provided by this application.
  • Terminal device It can be a wireless terminal device that can receive network device scheduling and instruction information.
  • the wireless terminal device can be a device that provides voice and/or data connectivity to the user, or a handheld device with wireless connection function, or other processing device connected to a wireless modem.
  • Terminal devices can communicate with one or more core networks or the Internet via a radio access network (RAN).
  • Terminal devices can be mobile terminal devices, such as mobile phones (also known as "cellular" phones, mobile phones), computers, and data cards.
  • mobile phones also known as "cellular" phones, mobile phones
  • computers and data cards.
  • they can be portable, pocket-sized, handheld, computer-built-in, or vehicle-mounted mobile devices that exchange voice and/or data with the radio access network.
  • PCS personal communication service
  • SIP Session Initiation Protocol
  • WLL wireless local loop
  • PDAs personal digital assistants
  • tablet computers computers with wireless transceiver capabilities, and other devices.
  • Wireless terminal equipment can also be called system, subscriber unit, subscriber station, mobile station, mobile station (MS), remote station, access point (AP), remote terminal equipment (remote terminal), access terminal equipment (access terminal), user terminal equipment (user terminal), user agent (user agent), subscriber station (SS), customer premises equipment (CPE), terminal, user equipment (UE), mobile terminal (MT), etc.
  • wearable smart devices include those that are fully functional, large in size, and can achieve complete or partial functions without relying on smartphones, such as smart watches or smart glasses, etc., as well as those that only focus on a certain type of application function and need to be used in conjunction with other devices such as smartphones, such as various smart bracelets, smart helmets, and smart jewelry for vital sign monitoring.
  • the terminal can also be a drone, a robot, a terminal in device-to-device (D2D) communication, a terminal in vehicle to everything (V2X), a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal in industrial control, a wireless terminal in self-driving, a wireless terminal in remote medical, a wireless terminal in smart grid, a wireless terminal in transportation safety, a wireless terminal in a smart city, a wireless terminal in a smart home, etc.
  • D2D device-to-device
  • V2X vehicle to everything
  • VR virtual reality
  • AR augmented reality
  • the terminal device may also be a terminal device in a communication system that evolves beyond the fifth-generation (5G) communication system (e.g., a sixth-generation (6G) communication system) or a terminal device in a future-evolved public land mobile network (PLMN).
  • 5G fifth-generation
  • 6G sixth-generation
  • PLMN public land mobile network
  • a 6G network may further extend the form and functionality of 5G communication terminals.
  • 6G terminals include, but are not limited to, vehicles, cellular network terminals (with integrated satellite terminal functionality), drones, and Internet of Things (IoT) devices.
  • IoT Internet of Things
  • the terminal device may also obtain AI services provided by the network device.
  • the terminal device may also have AI processing capabilities.
  • a network device can be a RAN node (or device) that connects a terminal device to a wireless network, which can also be called a base station.
  • RAN equipment are: base station, evolved NodeB (eNodeB), gNB (gNodeB) in a 5G communication system, transmission reception point (TRP), evolved NodeB (eNB), radio network controller (RNC), NodeB (NB), home base station (e.g., home evolved NodeB, or home NodeB, HNB), baseband unit (BBU), or wireless fidelity (Wi-Fi) access point AP, etc.
  • the network equipment can include a centralized unit (CU) node, a distributed unit (DU) node, or a RAN device including a CU node and a DU node.
  • CU centralized unit
  • DU distributed unit
  • RAN device including a CU node and a DU node.
  • CU or CU-CP and CU-UP
  • DU or RU may have different names, but those skilled in the art can understand their meanings.
  • O-CU open CU
  • DU may also be called O-DU
  • CU-CP may also be called O-CU-CP
  • CU-UP may also be called O-CU-UP
  • RU may also be called O-RU.
  • this application uses CU, CU-CP, CU-UP, DU and RU as examples for description.
  • Any unit among the CU (or CU-CP, CU-UP), DU and RU in this application can be implemented by a software module, a hardware module, or a combination of a software module and a hardware module.
  • This protocol layer may include a control plane protocol layer and a user plane protocol layer.
  • the control plane protocol layer may include at least one of the following: radio resource control (RRC) layer, packet data convergence protocol (PDCP) layer, radio link control (RLC) layer, media access control (MAC) layer, or physical (PHY) layer.
  • the user plane protocol layer may include at least one of the following: service data adaptation protocol (SDAP) layer, PDCP layer, RLC layer, MAC layer, or physical layer.
  • SDAP service data adaptation protocol
  • the network device may be any other device that provides wireless communication functionality to the terminal device.
  • the embodiments of this application do not limit the specific technology and device form used by the network device. For ease of description, the embodiments of this application do not limit this.
  • the network equipment may also include core network equipment, such as the mobility management entity (MME), home subscriber server (HSS), serving gateway (S-GW), policy and charging rules function (PCRF), and public data network gateway (PDN gateway, P-GW) in the fourth generation (4G) network; and the access and mobility management function (AMF), user plane function (UPF), or session management function (SMF) in the 5G network.
  • MME mobility management entity
  • HSS home subscriber server
  • S-GW serving gateway
  • PDN gateway, P-GW public data network gateway
  • the core network equipment may also include other core network equipment in the 5G network and the next generation network of the 5G network.
  • the above-mentioned network device may also have a network node with AI capabilities, which can provide AI services for terminals or other network devices.
  • a network node with AI capabilities can be an AI node on the network side (access network or core network), a computing power node, a RAN node with AI capabilities, a core network element with AI capabilities, etc.
  • the apparatus for implementing the function of the network device may be the network device, or may be a device capable of supporting the network device in implementing the function, such as a chip system, which may be installed in the network device.
  • the technical solutions provided in the embodiments of the present application are described by taking the network device as an example.
  • Configuration and pre-configuration are used at the same time.
  • Configuration refers to the network device and/or server sending some parameter configuration information or parameter values to the terminal through messages or signaling, so that the terminal can determine the communication parameters or resources during transmission based on these values or information.
  • Pre-configuration is similar to configuration, and can be parameter information or parameter values that the network device and/or server have pre-negotiated with the terminal device, or parameter information or parameter values used by the base station/network device or terminal device as specified in the standard protocol, or parameter information or parameter values pre-stored in the base station and/or server or terminal device. This application does not limit this.
  • “Sending” and “receiving” in the embodiments of the present application indicate the direction of signal transmission.
  • sending information to XX can be understood as the destination of the information being XX, which can include direct sending through the air interface, as well as indirect sending through the air interface by other units or modules.
  • Receiviving information from YY can be understood as the source of the information being YY, which can include direct receiving from YY through the air interface, as well as indirect receiving from YY through the air interface from other units or modules.
  • “Sending” can also be understood as the “output” of the chip interface, and “receiving” can also be understood as the “input” of the chip interface.
  • sending and receiving can be performed between devices, for example, between a network device and a terminal device, or can be performed within a device, for example, sending or receiving between components, modules, chips, software modules or hardware modules within the device through a bus, wiring or interface.
  • information may be processed between the source and destination of information transmission, such as coding, modulation, etc., but the destination can understand the valid information from the source. Similar expressions in this application can be understood similarly and will not be repeated.
  • indication may include direct indication and indirect indication, and may also include explicit indication and implicit indication.
  • the information indicated by a certain information is called information to be indicated.
  • information to be indicated In the specific implementation process, there are many ways to indicate the information to be indicated, such as but not limited to, directly indicating the information to be indicated, such as the information to be indicated itself or the index of the information to be indicated.
  • the information to be indicated may also be indirectly indicated by indicating other information, wherein the other information is associated with the information to be indicated; or only a part of the information to be indicated may be indicated, while the other part of the information to be indicated is known or agreed in advance.
  • the indication of specific information may be achieved by means of the arrangement order of each information agreed in advance (such as predefined by the protocol), thereby reducing the indication overhead to a certain extent.
  • the present application does not limit the specific method of indication. It is understandable that for the sender of the indication information, the indication information can be used to indicate the information to be indicated, and for the receiver of the indication information, the indication information can be used to determine the information to be indicated.
  • the communication system includes at least one network device and/or at least one terminal device.
  • Figure 1a is a schematic diagram of a communication system in this application.
  • Figure 1a exemplarily illustrates a network device and six terminal devices, namely terminal device 1, terminal device 2, terminal device 3, terminal device 4, terminal device 5, and terminal device 6.
  • terminal device 1 is a smart teacup
  • terminal device 2 is a smart air conditioner
  • terminal device 3 is a smart gas pump
  • terminal device 4 is a vehicle
  • terminal device 5 is a mobile phone
  • terminal device 6 is a printer.
  • the AI configuration information sending entity can be a network device.
  • the AI configuration information receiving entity can be terminal devices 1-6.
  • the network device and terminal devices 1-6 form a communication system.
  • terminal devices 1-6 can send data to the network device, and the network device needs to receive data sent by terminal devices 1-6.
  • the network device can send configuration information to terminal devices 1-6.
  • terminal devices 4 and 6 can also form a communication system.
  • Terminal device 5 serves as a network device, i.e., the AI configuration information sending entity;
  • terminal devices 4 and 6 serve as terminal devices, i.e., the AI configuration information receiving entities.
  • terminal device 5 sends AI configuration information to terminal devices 4 and 6, respectively, and receives data from them.
  • terminal devices 4 and 6 receive AI configuration information from terminal device 5 and send data to terminal device 5.
  • different devices may also execute AI-related services.
  • the base station can perform communication-related services and AI-related services with one or more terminal devices, and different terminal devices can also perform communication-related services and AI-related services.
  • an AI network element can be introduced into the communication system provided in this application to implement some or all AI-related operations.
  • the AI network element can also be called an AI node, AI device, AI entity, AI module, AI model, or AI unit, etc.
  • the AI network element can be a network element built into the communication system.
  • the AI network element can be an AI module built into: an access network device, a core network device, a cloud server, or a network management (OAM) to implement AI-related functions.
  • the OAM can be a network management for a core network device and/or a network management for an access network device.
  • the AI network element can also be an independently set network element in the communication system.
  • the terminal or the chip built into the terminal can also include an AI entity to implement AI-related functions.
  • AI artificial intelligence
  • AI Artificial intelligence
  • Machine learning methods can be used to implement AI.
  • a machine uses training data to learn (or train) a model. This model represents the mapping from input to output.
  • the learned model can be used for inference (or prediction), meaning that the model can be used to predict the output corresponding to a given input. This output can also be called an inference result (or prediction result).
  • Machine learning can include supervised learning, unsupervised learning, and reinforcement learning. Among them, unsupervised learning can also be called unsupervised learning.
  • Supervised learning uses machine learning algorithms to learn the mapping relationship between sample values and sample labels based on collected sample values and sample labels, and then expresses this learned mapping relationship using an AI model.
  • the process of training a machine learning model is the process of learning this mapping relationship.
  • sample values are input into the model to obtain the model's predicted values.
  • the model parameters are optimized by calculating the error between the model's predicted values and the sample labels (ideal values).
  • the learned mapping can be used to predict new sample labels.
  • the mapping relationship learned by supervised learning can include linear mappings or nonlinear mappings. Based on the type of label, the learning task can be divided into classification tasks and regression tasks.
  • Unsupervised learning uses algorithms to discover inherent patterns in collected sample values.
  • One type of unsupervised learning algorithm uses the samples themselves as supervisory signals, meaning the model learns the mapping from one sample to another. This is called self-supervised learning.
  • the model parameters are optimized by calculating the error between the model's predictions and the samples themselves.
  • Self-supervised learning can be used in signal compression and decompression recovery applications. Common algorithms include autoencoders and generative adversarial networks.
  • Reinforcement learning unlike supervised learning, is a type of algorithm that learns problem-solving strategies through interaction with the environment. Unlike supervised and unsupervised learning, reinforcement learning problems lack explicit label data for "correct" actions. Instead, the algorithm must interact with the environment to obtain reward signals from the environment, and then adjust its decision-making actions to maximize the reward signal value. For example, in downlink power control, the reinforcement learning model adjusts the downlink transmit power of each user based on the overall system throughput fed back by the wireless network, hoping to achieve higher system throughput. The goal of reinforcement learning is also to learn the mapping between environmental states and optimal (e.g., optimal) decision-making actions. However, because the labels for "correct actions" cannot be obtained in advance, network optimization cannot be achieved by calculating the error between actions and "correct actions.” Reinforcement learning training is achieved through iterative interaction with the environment.
  • NN neural network
  • Traditional communication systems require extensive expert knowledge to design communication modules.
  • deep learning communication systems based on neural networks can automatically discover implicit patterns in massive data sets and establish mapping relationships between data, achieving performance superior to traditional modeling methods.
  • each neuron performs a weighted sum operation on its input values and outputs the result through an activation function.
  • FIG. 1d it is a schematic diagram of the neuron structure.
  • w i is used as the weight of xi to weight xi .
  • the bias for weighted summation of input values according to the weights is, for example, b.
  • the activation function can take many forms.
  • the output of the neuron is:
  • b can be a decimal, an integer (eg, 0, a positive integer, or a negative integer), or a complex number, etc.
  • the activation functions of different neurons in a neural network can be the same or different.
  • neural networks generally include multiple layers, each of which may include one or more neurons. Increasing the depth and/or width of a neural network can improve its expressive power, providing more powerful information extraction and abstract modeling capabilities for complex systems.
  • the depth of a neural network can refer to the number of layers it comprises, and the number of neurons in each layer can be referred to as the width of that layer.
  • a neural network includes an input layer and an output layer. The input layer processes the input information received by the neural network through neurons, passing the processing results to the output layer, which then obtains the output of the neural network.
  • a neural network includes an input layer, a hidden layer, and an output layer. The input layer processes the input information received by the neural network through neurons, passing the processing results to an intermediate hidden layer. The hidden layer performs calculations on the received processing results to obtain a calculation result, which is then passed to the output layer or the next adjacent hidden layer, which ultimately obtains the output of the neural network.
  • a neural network can include one hidden layer or multiple hidden layers connected in sequence, without limitation.
  • DNN deep neural network
  • FNNs feedforward neural networks
  • CNNs convolutional neural networks
  • RNNs recurrent neural networks
  • Figure 1e is a schematic diagram of a FNN network.
  • a characteristic of FNN networks is that neurons in adjacent layers are fully connected. This characteristic typically requires a large amount of storage space and results in high computational complexity.
  • CNN is a neural network specifically designed to process data with a grid-like structure. For example, time series data (discrete sampling along the time axis) and image data (discrete sampling along two dimensions) can both be considered grid-like data.
  • CNNs do not utilize all input information at once for computation. Instead, they use a fixed-size window to intercept a portion of the information for convolution operations, significantly reducing the computational complexity of model parameters.
  • each window can use a different convolution kernel, enabling CNNs to better extract features from the input data.
  • RNNs are a type of DNN that utilizes feedback time series information. Their input consists of a new input value at the current moment and their own output value at the previous moment. RNNs are suitable for capturing temporally correlated sequence features and are particularly well-suited for applications such as speech recognition and channel coding.
  • a loss function can be defined. This function describes the gap or discrepancy between the model's output and the ideal target value. Loss functions can be expressed in various forms, and there are no restrictions on their specific form. The model training process can be viewed as adjusting some or all of the model's parameters to keep the loss function below a threshold or meet the target.
  • a model may also be referred to as an AI model, rule, or other name.
  • An AI model can be considered a specific method for implementing an AI function.
  • An AI model represents a mapping relationship or function between the input and output of a model.
  • AI functions may include one or more of the following: data collection, model training (or model learning), model information release, model inference (or model reasoning, inference, or prediction, etc.), model monitoring or model verification, or inference result release, etc.
  • AI functions may also be referred to as AI (related) operations, or AI-related functions.
  • Fully connected neural network also called multilayer perceptron (MLP).
  • an MLP consists of an input layer (left), an output layer (right), and multiple hidden layers (center).
  • Each layer of the MLP contains several nodes, called neurons. Neurons in adjacent layers are connected to each other.
  • w is the weight matrix
  • b is the bias vector
  • f is the activation function
  • n is the index of the neural network layer
  • a neural network can be understood as a mapping from an input data set to an output data set.
  • Neural networks are typically initialized randomly, and the process of obtaining this mapping from random w and b using existing data is called neural network training.
  • the specific training method is to use a loss function to evaluate the output results of the neural network.
  • the error can be backpropagated, and the neural network parameters (including w and b) can be iteratively optimized using gradient descent until the loss function reaches a minimum, which is the "better point (e.g., optimal point)" in Figure 2b. It is understood that the neural network parameters corresponding to the "better point (e.g., optimal point)" in Figure 2b can be used as the neural network parameters in the trained AI model information.
  • the gradient descent process can be expressed as:
  • ⁇ is the parameter to be optimized (including w and b)
  • L is the loss function
  • ⁇ is the learning rate, which controls the step size of gradient descent.
  • the backpropagation process utilizes the chain rule for partial derivatives.
  • the gradient of the previous layer parameters can be recursively calculated from the gradient of the next layer parameters, which can be expressed as:
  • wij is the weight of node j connecting to node i
  • si is the weighted sum of the inputs on node i.
  • the FL architecture is the most widely used training architecture in the current FL field.
  • the FedAvg algorithm is the basic algorithm of FL. Its algorithm flow is roughly as follows:
  • the center initializes the model to be trained And broadcast it to all client devices.
  • the central node aggregates and collects the local training results from all (or some) clients. Assume that the client set that uploads the local model in round t is The center will use the number of samples of the corresponding client as the weight to perform weighted averaging to obtain a new global model. The specific update rule is: The center then sends the latest version of the global model Broadcast to all client devices for a new round of training.
  • the central node In addition to reporting local models You can also use the local gradient of training After reporting, the central node averages the local gradients and updates the global model according to the direction of the average gradient.
  • Distributed nodes collect local datasets, perform local training, and report the local training results (models or gradients) to the central node.
  • the central node itself does not have a dataset; it is only responsible for fusing the training results of distributed nodes to obtain a global model and send it to the distributed nodes.
  • decentralized learning Different from federated learning, decentralized learning is another distributed learning architecture.
  • the design goal f(x) of a decentralized learning system is generally the mean of the goals fi (x) of each node, that is, Where n is the number of distributed nodes, x is the parameter to be optimized. In machine learning, x is the parameter of the machine learning (such as neural network) model.
  • Each node uses local data and local target fi (x) to calculate the local gradient Then it is sent to the neighboring nodes that can be communicated with. After any node receives the gradient information sent by its neighbor, it can update the parameter x of the local model according to the following formula:
  • wireless communication systems e.g., the systems shown in Figures 1a and 1b.
  • communication nodes generally have both signal transceiver capabilities and computing capabilities.
  • network devices with computing capabilities primarily provide computing power to support signal transceiver capabilities (e.g., performing signal transmission and reception processing) to enable communication between the network device and other communication nodes.
  • Radio map models can be widely applied to various communication tasks, including but not limited to network planning, interference control, path loss prediction, signal strength prediction, power control, resource allocation, handover management, multi-hop routing, or dynamic spectrum access.
  • a radio map module can obtain radio information based on input information.
  • the current radio map model is generally a single-function radio map model (the radio map model is denoted as "RF map” in the figure), that is, the input is the state information of a specific user (such as location coordinates, environmental information, etc., the input is denoted as "(x, y)” in the figure), and the output is the radio-related information of the user in that state (such as location, state) (the output is denoted as "(z)" in the figure).
  • the input of the radio map model is the location information of user 1, and the output is the path loss of user 1 at that location.
  • this radio map model can also be called a path loss map model, that is, the function of the radio map model is a path loss prediction model.
  • the input of the radio map model is the location information of user 2, and the output is the radio signal strength of user 2 at that location.
  • this radio map model can also be called a signal strength map model, that is, the function of the radio map model is a signal strength prediction model.
  • the radio map model focuses on user status information and their radio-related information, without considering the impact of time. This affects the accuracy of the radio information obtained by the above solution. Therefore, improving the accuracy of radio information is a pressing technical issue.
  • FIG3 is a schematic diagram of an implementation of the communication method provided in this application.
  • the method includes the following steps.
  • the method is illustrated by taking the first communication device and the second communication device as the execution subjects of the interaction diagram as an example, but the present application does not limit the execution subjects of the interaction diagram.
  • the execution subject of the method can be replaced by a chip, a chip system, a processor, a logic module or software in the communication device.
  • the first communication device can be a terminal device and the second communication device can be a network device, or the first communication device and the second communication device are both network devices, or the first communication device and the second communication device are both terminal devices.
  • a first communication device sends first information, and correspondingly, a second communication device receives the first information, wherein the first information includes first time information.
  • the second communication device sends radio information corresponding to the first time information, and the first communication device receives the radio information corresponding to the first time information, wherein the radio information corresponding to the first time information is determined based on the first information.
  • the radio map model can be a mathematical model, an artificial intelligence (AI) model, a neural network, a neural network model, an AI neural network model, a machine learning model, an AI processing model, etc.
  • AI artificial intelligence
  • the time indicated by the first time information may include historical time, current time, future time, etc.
  • the first time information corresponding to the radio information may include radio information of historical time (which can be used for historical status review), real-time radio information (which can be used for real-time status access), and radio information of future time (which can be used for future status prediction).
  • the input of the radio map model may also include the communication status information of the communication device.
  • the communication status information may include real-time information (or dynamic information) such as the transmission power, modulation and coding scheme (MCS) level, number of retransmissions, or data cache status information; that is, the radio information can be determined by the real-time communication status of the communication device, so that the determination process of the radio information can take into account the influence of the real-time communication status, and the accuracy of the radio information can be improved.
  • MCS modulation and coding scheme
  • the communication status information may include non-real-time information (or static information) such as location coordinate information, environmental information, or antenna configuration information; that is, the radio information can be determined by the non-real-time communication status of the communication device, so that the determination process of the radio information can take into account the influence of the non-real-time communication status, and the accuracy of the radio information can be further improved.
  • non-real-time information or static information
  • static information such as location coordinate information, environmental information, or antenna configuration information
  • the first communication device can receive the radio information corresponding to the first time information in step S302.
  • the first communication device as the requester of the radio information, can specify the time information through the first information to obtain the radio information corresponding to the time information. Since the communication status at different times may be different (for example, different communication interference, different communication configuration parameters, etc.), the radio information corresponding to different times may also be different.
  • the way in which the first communication device obtains the radio information corresponding to the time information expected (or indicated, or specified) by the first communication device through the radio map model can enable the radio information obtained by the first communication device to correspond to the time information, so as to improve the accuracy of the radio information.
  • the first communication device may be the requester of the radio information
  • the second communication device may be the provider of the radio information
  • the first communication device may be called a radio map user (or map user, or radio map model user, etc.)
  • the second communication device may be a radio map server (or map server, or radio map model server, etc.).
  • the second communication device may determine radio information through a radio map model (denoted as “RF map” in the figure).
  • the input of the model may include first time information (denoted as t in the figure) and communication status information (denoted as (x, y) in the figure); after being processed by the model, radio information (denoted as (z) in the figure) is obtained.
  • the basis for determining the radio information of the communication device may include the communication status information and the time information, so that the radio information obtained through the model can correspond to the time information to improve the accuracy of the radio information.
  • the second communication device can determine the radio information through a radio map model (denoted as “RF map” in the figure).
  • the input of the model may also include one or more other time information and corresponding communication status information (taking the number greater than 2 as an example in the figure, denoted as (x1, y1, t1), (x2, y2, t2)...); after being processed by the model, the radio information (denoted as (z) in the figure) is obtained.
  • the basis for determining the radio information of the communication device may include the communication status information of the first communication device, the first time information, and other time information and its corresponding communication status information, so that the model can obtain more features through other time and its corresponding communication status information to further improve the accuracy of the radio information.
  • the input of the model includes one or more other time information and corresponding communication status information (represented as (x1, y1, t1), (x2, y2, t2)... in the figure), where the number of time information in the "other one or more time information" can be equal to or unequal to the number of "communication status information".
  • the input of the model may include, in addition to one or more other time information and corresponding communication status information, radio information of the one or more time information, which can be recorded as (x1, y1, t1, z1), (x2, y2, t2, z2)...
  • the second communication device can obtain the communication status information of the first communication device (i.e., (x, y) in Figure 4 or Figure 5) in a variety of ways.
  • the second communication device can obtain the communication status information of the first communication device through the first information received in step S301, that is, the first information may include the communication status information of the first communication device.
  • the second communication device can obtain the communication status information of the first communication device through other communication processes between the second communication device and the first communication device.
  • the second communication device can obtain other time information and corresponding communication status information (i.e., (x1, y1, t1), (x2, y2, t2), ... in FIG. 5 ) through various methods.
  • the second communication device can obtain this information through communication with other communication devices or a network management entity (see the implementation above).
  • the second communication device can generate this information through generative AI.
  • the radio map module shown in FIG5 may include the following modules shown in FIG6 a .
  • the radio prediction map (RF prediction map) module may include time-related information as input, namely, first time information and status information of the communication device (denoted as (x, y, t) in the figure), as well as one or more other time information and corresponding communication status information (taking the number greater than 2 as an example in the figure, denoted as (x1, y1, t1), (x2, y2, t2)...); and the first processing result output by the module can serve as the input of the information fusion module.
  • the input may also include radio information of the one or more time information, which can be recorded as (x1, y1, t1, z1), (x2, y2, t2, z2)...
  • the radio fundamental map (RF fundamental map) module may include time-independent information, namely the status information of the communication device (denoted as (x, y) in the figure); and the second processing result output by this module can be used as the input of the information fusion module.
  • An information fusion module the input of which includes the first processing result and the second processing result, and the output of which includes radio information (denoted as (z) in the figure).
  • the radio prediction map module in FIG6a can be implemented by a neural network that processes time series, such as a long short-term memory (LSTM) network or a gated recurrent unit (GRU) network (or subnetwork).
  • LSTM long short-term memory
  • GRU gated recurrent unit
  • the other one or more time information, the corresponding communication state information, and the radio information corresponding to the one or more time information are input into the LSTM or GRU to obtain the query output u at the current time t or the predicted output u' at the future time t'.
  • u and u' can represent the first processing result and/or the second processing result.
  • the radio prediction map module may further include a radio history map (RF history map).
  • RF history map radio history map
  • the one or more time information and corresponding communication status information are input into the RF history map, and the radio information corresponding to the one or more time information is obtained as input to the LSTM/GRU in the predicted radio map to obtain the query output u at the current time t or the predicted output u' at the future time t'.
  • a module can be replaced with other descriptions, such as submodule, submodel, subnetwork, etc.
  • each module/sub-module shown in Figures 6a, 6b and 6c can be deployed in multiple ways, which will be explained below with reference to some implementation examples.
  • the radio prediction map module shown in FIG. 6 a , FIG. 6 b and FIG. 6 c is deployed in another communication device (eg, a second communication device) other than the first communication device.
  • another communication device eg, a second communication device
  • the first information sent by the first communication device in step S301 includes communication status information corresponding to the first time information, second time information, and communication status information corresponding to the second time information; the first time information is different from the second time information; wherein, the first time information, the communication status information corresponding to the first time information, the second time information, and the communication status information corresponding to the second time information are used to determine a first processing result, and the first processing result is used to determine the radio information corresponding to the first time information.
  • the first information sent by the first communication device can also be used to determine a first processing result, where the first processing result can be determined based on the first time information, the communication status information corresponding to the first time information, the second time information, and the communication status information corresponding to the second time information.
  • the first processing result can include a time-related processing result obtained by processing one or more time information and the communication status information corresponding to at least one time information.
  • the radio information corresponding to the first time information can be determined based on the time-related processing result, so that the radio information can be obtained based on the time-related processing result.
  • the radio base map module can be deployed in other communication devices (such as a second communication device) other than the first communication device.
  • the communication status information corresponding to the first time information is used to determine the second processing result
  • the second processing result is used to determine the radio information corresponding to the first time information.
  • the communication status information corresponding to the first time information contained in the first information sent by the first communication device can be used to determine the second processing result, that is, the recipient of the first information can determine the second processing result based on the communication status information corresponding to the first time information, and determine the radio information corresponding to the first time information based on the second processing result.
  • the radio information corresponding to the first time information can be determined by the time-related processing result and the basic processing result, so as to obtain the radio information through the time-related processing result and the basic processing result.
  • the radio base map module can be deployed on the first communication device.
  • the first information also includes a second processing result determined based on the communication status information corresponding to the first time information, and the second processing result is used to determine the radio information corresponding to the first time information.
  • the first information sent by the first communication device includes the second processing result.
  • the basis for determining the radio information corresponding to the first time information may include, in addition to the first processing result, a second processing result determined based on the communication status information corresponding to the first time information.
  • the second processing result may include a basic processing result obtained by processing the communication status information corresponding to the first time information.
  • the radio information corresponding to the first time information can be determined by the time-related processing result and the basic processing result, so that the radio information can be obtained through the time-related processing result and the basic processing result, and the implementation complexity of the recipient of the first information can be reduced.
  • the first information sent by the first communication device in step S301 also includes radio information corresponding to the second time information (such as z1, z2, etc. described above), and the radio information corresponding to the second time information is used to determine the first processing result.
  • the first information may also include radio information corresponding to the second time information, so that the recipient of the first information can determine the first processing result based on the radio information corresponding to the second time information. In this way, the implementation complexity of the recipient of the first information can be reduced.
  • the radio information corresponding to the second time information can be used as tag information, which can improve the performance of the radio information determined by the recipient of the first information based on the first information.
  • the radio prediction map module shown in FIG. 6 a , FIG. 6 b and FIG. 6 c is deployed in the first communication device.
  • the first information sent by the first communication device in step S301 includes a first processing result; wherein the first processing result is determined based on the first time information, the communication status information corresponding to the first time information, the second time information, and the communication status information corresponding to the second time information.
  • the first information sent by the first communication device may further include a first processing result, where the first processing result may include a time-related processing result obtained by processing one or more pieces of time information and communication state information corresponding to the one or more pieces of time information.
  • the radio information corresponding to the first time information may be determined based on the time-related processing result, thereby obtaining the radio information based on the time-related processing result and reducing the implementation complexity of the receiver of the first information.
  • the radio base map module can be deployed in other communication devices (such as a second communication device) other than the first communication device.
  • the first information also includes communication status information corresponding to the first time information; wherein the communication status information corresponding to the first time information is used to determine the second processing result, and the second processing result is used to determine the radio information corresponding to the first time information.
  • the communication status information corresponding to the first time information contained in the first information sent by the first communication device can be used to determine the second processing result, that is, the recipient of the first information can determine the second processing result based on the communication status information corresponding to the first time information, and determine the radio information corresponding to the first time information based on the second processing result.
  • the radio information corresponding to the first time information can be determined by the time-related processing result and the basic processing result, so as to obtain the radio information through the time-related processing result and the basic processing result.
  • the radio base map module can be deployed on the first communication device.
  • the first information also includes a second processing result determined based on the communication status information corresponding to the first time information, and the second processing result is used to determine the radio information corresponding to the first time information.
  • the first information sent by the first communication device includes the second processing result.
  • the basis for determining the radio information corresponding to the first time information may include, in addition to the first processing result, a second processing result determined based on the communication status information corresponding to the first time information.
  • the second processing result may include a basic processing result obtained by processing the communication status information corresponding to the first time information.
  • the radio information corresponding to the first time information can be determined by the time-related processing result and the basic processing result, so that the radio information can be obtained through the time-related processing result and the basic processing result, and the implementation complexity of the recipient of the first information can be reduced.
  • the transceiver unit 702 may include a sending unit and a receiving unit, which are respectively used to perform sending and receiving.
  • the device 700 when the device 700 is used to execute the method executed by the first communication device in the aforementioned embodiment, the device 700 includes a processing unit 701 and a transceiver unit 702; the processing unit 701 is used to determine the first information; the transceiver unit 702 is used to send the first information, and the first information includes first time information; the transceiver unit 702 is also used to receive radio information corresponding to the first time information, wherein the radio information corresponding to the first time information is determined based on the first information.
  • the device 700 when the device 700 is used to execute the method executed by the second communication device in the aforementioned embodiment, the device 700 includes a processing unit 701 and a transceiver unit 702; the transceiver unit 702 is used to receive first information, which includes first time information; the processing unit 701 is used to determine the radio information corresponding to the first time information; the transceiver unit 702 is also used to send the radio information corresponding to the first time information, wherein the radio information corresponding to the first time information is determined based on the first information.
  • Fig. 8 is another schematic structural diagram of a communication device 800 provided in this application.
  • the communication device 800 includes a logic circuit 801 and an input/output interface 802.
  • the communication device 800 may be a chip or an integrated circuit.
  • the transceiver unit 702 shown in FIG7 may be a communication interface, which may be the input/output interface 802 in FIG8 , which may include an input interface and an output interface.
  • the communication interface may be a transceiver circuit, which may include an input interface circuit and an output interface circuit.
  • the logic circuit 801 is used to determine the first information; the input-output interface 802 is used to send the first information, which includes the first time information; the input-output interface 802 is also used to receive the radio information corresponding to the first time information, wherein the radio information corresponding to the first time information is determined based on the first information.
  • the input-output interface 802 is used to receive first information, which includes first time information; the logic circuit 801 is used to determine the radio information corresponding to the first time information; the input-output interface 802 is also used to send the radio information corresponding to the first time information, wherein the radio information corresponding to the first time information is determined based on the first information.
  • the logic circuit 801 and the input/output interface 802 may also execute other steps executed by the first communication device or the second communication device in any embodiment and achieve corresponding beneficial effects, which will not be described in detail here.
  • the processing unit 701 shown in FIG. 7 may be the logic circuit 801 in FIG. 8 .
  • the logic circuit 801 may be a processing device, and the functions of the processing device may be partially or entirely implemented by software.
  • the functions of the processing device may be partially or entirely implemented by software.
  • the processing device may include a memory and a processor, wherein the memory is used to store a computer program, and the processor reads and executes the computer program stored in the memory to perform corresponding processing and/or steps in any one of the method embodiments.
  • the processing device may include only a processor.
  • a memory for storing the computer program is located outside the processing device, and the processor is connected to the memory via circuits/wires to read and execute the computer program stored in the memory.
  • the memory and processor may be integrated or physically separate.
  • the processing device may be one or more chips, or one or more integrated circuits.
  • the processing device may be one or more field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), system-on-chips (SoCs), central processing units (CPUs), network processors (NPs), digital signal processing circuits (DSPs), microcontrollers (MCUs), programmable logic devices (PLDs), or other integrated chips, or any combination of the above chips or processors.
  • FPGAs field-programmable gate arrays
  • ASICs application-specific integrated circuits
  • SoCs system-on-chips
  • CPUs central processing units
  • NPs network processors
  • DSPs digital signal processing circuits
  • MCUs microcontrollers
  • PLDs programmable logic devices
  • FIG 9 shows a communication device 900 involved in the above-mentioned embodiments provided in an embodiment of the present application.
  • the communication device 900 can specifically be a communication device serving as a terminal device in the above-mentioned embodiments.
  • the example shown in Figure 9 is that the terminal device is implemented through the terminal device (or a component in the terminal device).
  • the communication device 900 may include but is not limited to at least one processor 901 and a communication port 902 .
  • the transceiver unit 702 shown in FIG7 may be a communication interface, which may be the communication port 902 in FIG9 , which may include an input interface and an output interface.
  • the communication port 902 may be a transceiver circuit, which may include an input interface circuit and an output interface circuit.
  • the device may also include at least one of a memory 903 and a bus 904.
  • the at least one processor 901 is used to control and process the actions of the communication device 900.
  • the processor 901 can be a central processing unit, a general-purpose processor, a digital signal processor, an application-specific integrated circuit, a field programmable gate array or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application.
  • the processor can also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a digital signal processor and a microprocessor, and so on.
  • the communication device 900 shown in Figure 9 can be specifically used to implement the steps implemented by the terminal device in the aforementioned method embodiment and achieve the corresponding technical effects of the terminal device.
  • the specific implementation methods of the communication device shown in Figure 9 can refer to the description in the aforementioned method embodiment and will not be repeated here.
  • FIG 10 is a structural diagram of the communication device 1000 involved in the above-mentioned embodiments provided in an embodiment of the present application.
  • the communication device 1000 can specifically be a communication device as a network device in the above-mentioned embodiments.
  • the example shown in Figure 10 is that the network device is implemented through the network device (or a component in the network device), wherein the structure of the communication device can refer to the structure shown in Figure 10.
  • the communication device 1000 includes at least one processor 1011 and at least one network interface 1014. Further optionally, the communication device also includes at least one memory 1012, at least one transceiver 1013 and one or more antennas 1015.
  • the processor 1011, the memory 1012, the transceiver 1013 and the network interface 1014 are connected, for example, via a bus. In an embodiment of the present application, the connection may include various interfaces, transmission lines or buses, etc., which are not limited in this embodiment.
  • the antenna 1015 is connected to the transceiver 1013.
  • the network interface 1014 is used to enable the communication device to communicate with other communication devices through a communication link.
  • the network interface 1014 may include a network interface between the communication device and the core network device, such as an S1 interface, and the network interface may include a network interface between the communication device and other communication devices (such as other network devices or core network devices), such as an X2 or Xn interface.
  • the transceiver unit 702 shown in FIG7 may be a communication interface, which may be the network interface 1014 in FIG10 , which may include an input interface and an output interface.
  • the network interface 1014 may be a transceiver circuit, which may include an input interface circuit and an output interface circuit.
  • Processor 1011 is primarily used to process communication protocols and communication data, control the entire communication device, execute software programs, and process software program data, for example, to support the communication device in performing the actions described in the embodiments.
  • the communication device may include a baseband processor and a central processing unit.
  • the baseband processor is primarily used to process communication protocols and communication data, while the central processing unit is primarily used to control the entire terminal device, execute software programs, and process software program data.
  • Processor 1011 in Figure 10 may integrate the functions of both a baseband processor and a central processing unit. Those skilled in the art will appreciate that the baseband processor and the central processing unit may also be independent processors interconnected via a bus or other technology.
  • a terminal device may include multiple baseband processors to accommodate different network standards, multiple central processing units to enhance its processing capabilities, and various components of the terminal device may be connected via various buses.
  • the baseband processor may also be referred to as a baseband processing circuit or a baseband processing chip.
  • the central processing unit may also be referred to as a central processing circuit or a central processing chip.
  • the functionality for processing communication protocols and communication data may be built into the processor or stored in memory as a software program, which is executed by the processor to implement the baseband processing functionality.
  • the memory is primarily used to store software programs and data.
  • Memory 1012 can exist independently and be connected to processor 1011. Alternatively, memory 1012 and processor 1011 can be integrated together, for example, within a single chip.
  • Memory 1012 can store program code for executing the technical solutions of the embodiments of the present application, and execution is controlled by processor 1011. The various computer program codes executed can also be considered drivers for processor 1011.
  • Figure 10 shows only one memory and one processor. In an actual terminal device, there may be multiple processors and multiple memories.
  • the memory may also be referred to as a storage medium or a storage device.
  • the memory may be a storage element on the same chip as the processor, i.e., an on-chip storage element, or an independent storage element, which is not limited in the present embodiment.
  • the transceiver 1013 can be used to support the reception or transmission of radio frequency signals between the communication device and the terminal.
  • the transceiver 1013 can be connected to the antenna 1015.
  • the transceiver 1013 includes a transmitter Tx and a receiver Rx. Specifically, one or more antennas 1015 can receive radio frequency signals.
  • the receiver Rx of the transceiver 1013 is used to receive the radio frequency signal from the antenna, convert the radio frequency signal into a digital baseband signal or a digital intermediate frequency signal, and provide the digital baseband signal or digital intermediate frequency signal to the processor 1011 so that the processor 1011 can further process the digital baseband signal or digital intermediate frequency signal, such as demodulation and decoding.
  • the transmitter Tx in the transceiver 1013 is also used to receive a modulated digital baseband signal or digital intermediate frequency signal from the processor 1011, convert the modulated digital baseband signal or digital intermediate frequency signal into a radio frequency signal, and transmit the radio frequency signal through one or more antennas 1015.
  • the receiver Rx can selectively perform one or more stages of down-mixing and analog-to-digital conversion on the RF signal to obtain a digital baseband signal or a digital intermediate frequency signal.
  • the order of the down-mixing and analog-to-digital conversion processes is adjustable.
  • the transmitter Tx can selectively perform one or more stages of up-mixing and digital-to-analog conversion on the modulated digital baseband signal or digital intermediate frequency signal to obtain a RF signal.
  • the order of the up-mixing and digital-to-analog conversion processes is adjustable.
  • the digital baseband signal and the digital intermediate frequency signal may be collectively referred to as digital signals.
  • the transceiver 1013 may also be referred to as a transceiver unit, a transceiver, a transceiver device, etc.
  • a device in the transceiver unit that implements a receiving function may be referred to as a receiving unit
  • a device in the transceiver unit that implements a transmitting function may be referred to as a transmitting unit. That is, the transceiver unit includes a receiving unit and a transmitting unit.
  • the receiving unit may also be referred to as a receiver, an input port, a receiving circuit, etc.
  • the transmitting unit may be referred to as a transmitter, a transmitter, or a transmitting circuit, etc.
  • the communication device 1000 shown in Figure 10 can be specifically used to implement the steps implemented by the network device in the aforementioned method embodiment, and to achieve the corresponding technical effects of the network device.
  • the specific implementation methods of the communication device 1000 shown in Figure 10 can refer to the description in the aforementioned method embodiment, and will not be repeated here one by one.
  • FIG11 is a schematic structural diagram of the communication device involved in the above-mentioned embodiment provided in an embodiment of the present application.
  • the communication device 110 includes, for example, modules, units, elements, circuits, or interfaces, which are appropriately configured together to implement the technical solutions provided in this application.
  • the communication device 110 can be the terminal device or network device described above, or a component (such as a chip) in these devices, used to implement the method described in the following method embodiment.
  • the communication device 110 includes one or more processors 111.
  • the processor 111 can be a general-purpose processor or a dedicated processor. For example, it can be a baseband processor or a central processing unit.
  • the baseband processor can be used to process communication protocols and communication data
  • the central processing unit can be used to control the communication device (such as a RAN node, terminal, or chip, etc.), execute software programs, and process data of software programs.
  • the processor 111 may include a program 113 (sometimes also referred to as code or instructions), which may be executed on the processor 111 to cause the communication device 110 to perform the methods described in the following embodiments.
  • the communication device 110 includes circuitry (not shown in FIG11 ).
  • the communication device 110 may include one or more memories 112 on which a program 114 (sometimes also referred to as code or instructions) is stored.
  • the program 114 can be run on the processor 111, so that the communication device 110 executes the method described in the above method embodiment.
  • the processor 111 and/or the memory 112 may include AI modules 117 and 118, which are used to implement AI-related functions.
  • the AI module can be implemented through software, hardware, or a combination of software and hardware.
  • the AI module may include a wireless intelligent control (RIC) module.
  • the AI module may be a near-real-time RIC or a non-real-time RIC.
  • data may be stored in the processor 111 and/or the memory 112.
  • the processor and the memory may be provided separately or integrated together.
  • the communication device 110 may further include a transceiver 115 and/or an antenna 116.
  • the processor 111 may also be referred to as a processing unit, and controls the communication device (e.g., a RAN node or terminal).
  • the transceiver 115 may also be referred to as a transceiver unit, a transceiver, a transceiver circuit, or a transceiver, and is configured to implement the transceiver functions of the communication device through the antenna 116.
  • the processing unit 701 shown in FIG7 may be the processor 111.
  • the transceiver unit 702 shown in FIG7 may be a communication interface, which may be the transceiver 115 shown in FIG11 .
  • the transceiver 115 may include an input interface and an output interface.
  • the transceiver 115 may be a transceiver circuit, which may include an input interface circuit and an output interface circuit.
  • An embodiment of the present application further provides a computer-readable storage medium, which is used to store one or more computer-executable instructions.
  • the processor executes the method described in the possible implementation methods of the first communication device or the second communication device in the aforementioned embodiment.
  • An embodiment of the present application also provides a computer program product (or computer program).
  • the processor executes the method that may be implemented by the above-mentioned first communication device or second communication device.
  • An embodiment of the present application also provides a chip system, which includes at least one processor for supporting a communication device to implement the functions involved in the possible implementation methods of the above-mentioned communication device.
  • the chip system also includes an interface circuit, which provides program instructions and/or data to the at least one processor.
  • the chip system may also include a memory, which is used to store the necessary program instructions and data for the communication device.
  • the chip system can be composed of chips, or it can include chips and other discrete devices, wherein the communication device can specifically be the first communication device or the second communication device in the aforementioned method embodiment.
  • An embodiment of the present application further provides a communication system, wherein the network system architecture includes the first communication device and the second communication device in any of the above embodiments.
  • the disclosed systems, devices and methods can be implemented in other ways.
  • the device embodiments described above are merely schematic.
  • the division of the units is merely a logical function division.
  • Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.
  • the units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.
  • the functional units in the various embodiments of the present application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.
  • the above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium.
  • the technical solution of the present application is essentially or the contributing part or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the various embodiments of the present application.
  • the aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program code.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

L'invention concerne un procédé de communication et un appareil associé. Dans le procédé, après qu'un premier appareil de communication envoie des premières informations qui comprennent des premières informations temporelles, le premier appareil de communication peut recevoir des informations radio correspondant aux premières informations temporelles. En d'autres termes, le premier appareil de communication, en tant que demandeur d'informations radio, peut spécifier des informations temporelles au moyen des premières informations, de façon à obtenir des informations radio correspondant aux informations temporelles. De cette manière, le premier appareil de communication peut obtenir, au moyen d'un modèle de carte radio, des informations radio correspondant à des informations temporelles souhaitées (ou indiquées ou spécifiées) par le premier appareil de communication, de telle sorte que la flexibilité de l'utilisation du modèle de carte radio est améliorée.
PCT/CN2025/081743 2024-03-14 2025-03-11 Procédé de communication et appareil associé Pending WO2025190252A1 (fr)

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CN202410311516.1 2024-03-14
CN202410311516.1A CN120659067A (zh) 2024-03-14 2024-03-14 一种通信方法及相关装置

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016001473A1 (fr) * 2014-06-30 2016-01-07 Nokia Technologies Oy Systeme et procede pour l'estimation de parametres radio et d'autres parametres sur la base de cartes
US20190373413A1 (en) * 2018-06-01 2019-12-05 Apple Inc. Feature-based slam with z-axis location
CN112152948A (zh) * 2019-06-28 2020-12-29 华为技术有限公司 一种无线通信处理的方法和装置
WO2023065060A1 (fr) * 2021-10-18 2023-04-27 Qualcomm Incorporated Apprentissage automatique à capacité réduite avec assistance
US20230209586A1 (en) * 2020-05-26 2023-06-29 Telefonaktiebolaget Lm Ericsson (Publ) Location aware radio resource management in co-existing public and non-public communication networks using predictions

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016001473A1 (fr) * 2014-06-30 2016-01-07 Nokia Technologies Oy Systeme et procede pour l'estimation de parametres radio et d'autres parametres sur la base de cartes
US20190373413A1 (en) * 2018-06-01 2019-12-05 Apple Inc. Feature-based slam with z-axis location
CN112152948A (zh) * 2019-06-28 2020-12-29 华为技术有限公司 一种无线通信处理的方法和装置
US20230209586A1 (en) * 2020-05-26 2023-06-29 Telefonaktiebolaget Lm Ericsson (Publ) Location aware radio resource management in co-existing public and non-public communication networks using predictions
WO2023065060A1 (fr) * 2021-10-18 2023-04-27 Qualcomm Incorporated Apprentissage automatique à capacité réduite avec assistance

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