WO2025179920A1 - Communication method and related apparatus - Google Patents

Abstract

The present application provides a communication method and a related apparatus. In the method, after a first communication apparatus sends first information for requesting first wireless data, the first communication apparatus can receive second information comprising the first wireless data. In this way, acquisition of the first wireless data can be achieved between the first communication apparatus and another communication apparatus (such as a second communication apparatus) by means of an interaction process of the first information and the second information. In addition, different communication apparatuses can obtain wireless data by means of N sets of wireless data in a same data format, so that the reusability of the wireless data can be improved while reducing the complexity of wireless data storage.

Description

A communication method and related device

This application claims priority to the Chinese patent application filed with the State Intellectual Property Office on February 29, 2024, with application number 202410231639.4 and application name “A communication method and related device”, the entire contents of which are incorporated by reference into this application.

Technical Field

The present application relates to the field of communications, and in particular to a communication method and related devices.

Background Art

Wireless communication can be the transmission communication between two or more communication devices without propagation through conductors or cables. The communication devices generally include network devices and terminal devices.

Currently, in wireless communication systems, communication equipment can process signals carried by wireless resources (for example, calculating, estimating or predicting channels of signals carried by time domain resources or frequency domain resources, performing positioning or perception based on wireless signals, etc.), and may also take into account the processing of wireless resource management tasks (such as beam management, resource scheduling, etc.).

In the above implementation process, the communication device may need to optimize the above processing based on the wireless data. However, for the communication device, how to obtain the wireless data is a technical problem that needs to be solved urgently.

Summary of the Invention

The present application provides a communication method and related devices for acquiring wireless data and improving the multiplexing of wireless data.

In a first aspect, the present application provides a communication method, which is performed by a first communication device, which may be a communication device (such as a terminal device or a network device), or the first communication device may be a component of a 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. In this method, the first communication device sends a first message, which is used to request a first wireless data; the first wireless data is included in a first wireless data set among N wireless data sets, each of the N wireless data sets includes wireless data and configuration information corresponding to the wireless data, where N is an integer greater than 1; the first communication device receives a second message, which includes the first wireless data.

Based on the above solution, after the first communication device sends the first message requesting the first wireless data, the first communication device can receive the second message containing the first wireless data. In this way, the first communication device and another communication device (e.g., the second communication device) can acquire the first wireless data through the interaction of the first message and the second message.

Furthermore, the first wireless data obtained by the first communication device is included in the first wireless data set of the N wireless data sets, and each of the N wireless data sets includes wireless data and configuration information corresponding to the wireless data. That is, the data content contained in different wireless data sets in the N wireless data sets is in the same format. In this way, different communication devices can obtain wireless data through the N wireless data sets in the same data format, which can improve the reusability of wireless data while reducing the complexity of wireless data storage.

It should be understood that wireless data may be data involved in wireless communication and may be replaced by other terms, such as wireless data list, wireless status data, wireless status data list, etc.

It should be understood that the configuration information corresponding to the wireless data is used to configure one or more of the acquisition, generation, and collection of the wireless data. The configuration information can be expressed in other terms, such as collection information, configuration information, meta-information, meta-information of wireless data, or meta-information of wireless data collection, etc.

In a possible implementation of the first aspect, the first wireless data includes at least one of the following: the acquisition time of one or more data samples contained in the first wireless data, the coordinates of the communication device corresponding to the first wireless data, channel data, decision data, or performance data.

Based on the above solution, the first wireless data may include one or more data samples, and the first wireless data may include at least one of the above items to enhance the flexibility of the solution implementation.

In a possible implementation manner of the first aspect, the second information further includes first configuration information corresponding to the first wireless data.

Based on the above scheme, the first communication device can obtain the configuration information corresponding to the first wireless data through the received second information, so as to clearly obtain the configuration information of the first wireless data, and also facilitate the first communication device to subsequently use the first wireless data to process corresponding communication tasks based on the configuration information.

In a possible implementation of the first aspect, the first configuration information corresponding to the first wireless data includes at least one of the following: time information of the first wireless data, type information of the data source of the first wireless data, environmental information of the first wireless data, an identifier of the communication device corresponding to the first wireless data, wireless configuration information of the first wireless data, the number of data samples contained in the first wireless data, or type information of the data content of the first wireless data.

Based on the above solution, the first configuration information corresponding to the first wireless data may include at least one of the above items to improve the flexibility of implementing the solution.

In a possible implementation of the first aspect, the method further includes: the first communication device sends second wireless data and second configuration information corresponding to the second wireless data, and the second wireless data is obtained by performing one or more of data collection, data acquisition, and data generation based on the second configuration information.

Based on the above scheme, the first communication device can also perform one or more of data collection, data acquisition, and data generation locally based on the second configuration information to obtain second wireless data, and send the second wireless data and the second configuration information, so that the recipient can realize wireless data collection based on the second wireless data and the second configuration information.

Optionally, the second wireless data is used to determine or update the N wireless data sets.

In a possible implementation manner of the first aspect, the method further includes: the first communication device receiving request information for requesting the second wireless data.

Based on the above solution, the first communication device can locally perform one or more of data collection, data acquisition, and data generation based on the received request information to obtain second wireless data, and send the second wireless data to implement a request-based data collection process.

In a possible implementation of the first aspect, the first information includes at least one of an index of the first wireless data, an index of the first wireless data set, data filtering condition information of the first wireless data, and first configuration information corresponding to the first wireless data.

Based on the above solution, the first information for requesting the first wireless data may include at least one of the above items, that is, the first communication device may implement the request for wireless data in multiple ways to improve the flexibility of the solution implementation.

In a possible implementation of the first aspect, the N wireless data sets correspond to M versions, where M is an integer greater than or equal to 1; the method also includes: the first communication device receives third information, where the third information is used to indicate version information of the M versions.

Based on the above solution, before sending the first message, the first communication device can receive the third information and, based on the third information, determine the version information of the M versions corresponding to the N wireless data sets. In this way, the first communication device can determine the version information of the wireless data stored by the second communication device based on the third information, and further generate the first message based on the obtained version information to request the corresponding first wireless data.

It should be understood that N wireless data sets correspond to M versions. It can be understood that the N wireless data sets belong to the M versions, that is, the data in each version includes one or more wireless data sets in the N wireless data sets.

Optionally, different versions contain different sets of wireless data.

Optionally, in the version information of M versions, the version information of each version is used to indicate the relevant information of the wireless data in each version, and the version information of different versions is different. Exemplarily, the version information of each version may include the configuration information of the wireless data contained in each version, that is, the version information of each version may refer to the implementation method of at least one item corresponding to the above-mentioned first configuration information. For example, the version information of each version may include one or more of the version number or version index of each version, the time information of the wireless data in each version (such as the collection time, the collection time period, etc.), the data type information of the wireless data of each version, and the environmental information of the wireless data of each version.

Optionally, the third information satisfies at least one of the following:

The third information is carried in a broadcast message or a paging message;

The third information is received through an access network element;

The source address of the third information is the second communication device.

In a possible implementation manner of the first aspect, the method further includes: the first communication device sending fourth information, where the fourth information is used to request or subscribe to the M versions of version information.

Based on the above solution, the first communication device can request or subscribe to M versions of version information through the fourth information, so as to obtain the M versions of version information through the fourth information.

The second aspect of the present application provides a communication method, which is performed by a second communication device, which may be a communication device (such as a terminal device or a network device), or a component of a communication device (such as a processor, a chip or a chip system, etc.), or a logic module or software that can realize all or part of the functions of the communication device. For example, the communication device may be a device that provides wireless data services (or data services). In this method, the second communication device receives the first A first message is used to request first wireless data; the first wireless data is included in a first wireless data set among N wireless data sets, each wireless data set in the N wireless data sets includes wireless data and configuration information of the wireless data, and N is an integer greater than 1; the second communication device sends a second message, and the second message includes the first wireless data.

Based on the above solution, after receiving the first message requesting the first wireless data, the second communication device can send the second message containing the first wireless data. In this way, the second communication device can acquire the first wireless data through the interaction of the first message and the second message with another communication device (e.g., the first communication device).

Furthermore, the first wireless data transmitted by the second communication device is included in a first wireless data set among the N wireless data sets, and each of the N wireless data sets includes wireless data and configuration information corresponding to the wireless data. That is, the data content contained in different wireless data sets among the N wireless data sets is in the same format. In this manner, different communication devices can obtain wireless data from the N wireless data sets in the same data format, thereby improving the reusability of wireless data while reducing the complexity of wireless data storage.

In a possible implementation of the second aspect, the first wireless data includes at least one of the following: the acquisition time of one or more data samples contained in the first wireless data, the coordinates of the communication device corresponding to the first wireless data, channel data, decision data, or performance data.

Based on the above solution, the first wireless data may include one or more data samples, and the first wireless data may include at least one of the above items to enhance the flexibility of the solution implementation.

In a possible implementation manner of the second aspect, the second information further includes first configuration information corresponding to the first wireless data.

Based on the above scheme, the second communication device can carry the configuration information corresponding to the first wireless data through the second information sent, so that the recipient of the second information can clearly obtain the configuration information corresponding to the first wireless data, and it is also convenient for the recipient to subsequently use the first wireless data to process the corresponding communication task based on the configuration information.

In a possible implementation of the second aspect, the first configuration information corresponding to the first wireless data includes at least one of the following: time information of the first wireless data, type information of the data source of the first wireless data, environmental information of the first wireless data, an identifier of the communication device corresponding to the first wireless data, wireless configuration information of the first wireless data, the number of data samples contained in the first wireless data, or type information of the data content of the first wireless data.

Based on the above solution, the first configuration information corresponding to the first wireless data may include at least one of the above items to improve the flexibility of the solution implementation.

In a possible implementation of the second aspect, the method further includes: the second communication device receives second wireless data and second configuration information corresponding to the second wireless data, and the second wireless data is obtained by performing one or more of data collection, data acquisition, and data generation based on the second configuration information.

Based on the above solution, the second communication device can also receive second wireless data obtained by other communication devices performing one or more of data collection, data acquisition, and data generation locally, so that the second communication device can realize wireless data collection.

Optionally, the second wireless data is used to determine or update the N wireless data sets.

In a possible implementation manner of the second aspect, the method further includes: the second communication device sending request information for requesting the second wireless data.

Based on the above solution, the second communication device can send request information for requesting wireless data, so that the first communication device can perform data collection locally based on the received request information to obtain second wireless data and send the second wireless data to implement a request-based data collection process.

In a possible implementation of the second aspect, the first information includes at least one of an index of the first wireless data, an index of the first wireless data set, data filtering condition information of the first wireless data, and first configuration information corresponding to the first wireless data.

Based on the above solution, the first information received by the second communication device for requesting the first wireless data may include at least one of the above items, that is, the first communication device can implement the request for wireless data in multiple ways to improve the flexibility of the solution implementation.

In a possible implementation of the second aspect, the N wireless data sets correspond to M versions, where M is an integer greater than or equal to 1; the method also includes: the second communication device sends third information, where the third information is used to indicate version information of the M versions.

Based on the above solution, before receiving the first information, the second communication device can send third information, allowing the recipient of the third information (e.g., the first communication device) to determine the version information of the M versions corresponding to the N wireless data sets based on the third information. In this way, the first communication device can determine the version information of the wireless data stored by the second communication device based on the third information, and further generate the first information based on the obtained version information to request the corresponding first wireless data.

It should be understood that N wireless data sets correspond to M versions. It can be understood that the N wireless data sets belong to the M versions, that is, the data in each version includes one or more wireless data sets in the N wireless data sets.

Optionally, different versions contain different sets of wireless data.

Optionally, in the version information of M versions, the version information of each version is used to indicate the relevant information of the wireless data in each version, and the version information of different versions is different. Exemplarily, the version information of each version may include the configuration information of the wireless data contained in each version, that is, the version information of each version may refer to the implementation method of at least one item corresponding to the above-mentioned first configuration information. For example, the version information of each version may include one or more of the version number or version index of each version, the time information of the wireless data in each version (such as the collection time, the collection time period, etc.), the data type information of the wireless data of each version, and the environmental information of the wireless data of each version.

Optionally, the third information satisfies at least one of the following:

The third information is carried in a broadcast message or a paging message;

The third information is received through an access network element;

The source address of the third information is the second communication device.

In a possible implementation manner of the second aspect, the method further includes: the second communication device receiving fourth information, where the fourth information is used to request or subscribe to the M versions of version information.

Based on the above solution, the first communication device can request or subscribe to M versions of version information through the fourth information, so as to obtain the M versions of version information through the fourth 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 is used to request first wireless data; the first wireless data is included in a first wireless data set among N wireless data sets, and each wireless data set in the N wireless data sets includes wireless data and configuration information corresponding to the wireless data, and N is an integer greater than 1; the transceiver unit is also used to receive second information, and the second information includes the first wireless data.

In the third aspect of the present application, 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. For details, please refer to the first aspect and will not be repeated here.

In a fourth aspect, 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 is used to request first wireless data; the first wireless data is included in a first wireless data set among N wireless data sets, and each wireless data set in the N wireless data sets includes wireless data and configuration information of the wireless data, where N is an integer greater than 1; the processing unit is used to determine the first wireless data based on the first information; the transceiver unit is also used to send second information, and the second information includes the first wireless data.

In the fourth aspect of the present application, 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. For details, please refer to the second aspect and will not be repeated here.

In a fifth aspect, 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. Optionally, the communication device may include the memory.

In a sixth aspect, 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.

In a seventh aspect, the present application provides a communication system, which includes the above-mentioned first communication device and second communication device.

In an eighth aspect, the present application provides a computer-readable storage medium for storing one or more computer-executable instructions. When the computer-executable instructions are executed by a processor, the processor executes the method described in any possible implementation of any one of the first to second aspects above.

In a ninth aspect, the present application provides a computer program product (or computer program). When the computer program in the computer program product is executed by the processor, the processor executes the method described in any possible implementation of any one of the first to second aspects above.

In a tenth aspect, the present application provides a chip system comprising at least one processor for supporting a communication device to implement the method described in any possible implementation of any one of the first to second aspects.

In one possible design, the chip system may also 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 devices. Optionally, the chip system may also include a memory for storing program instructions and data necessary for the communication device. An interface circuit is included that provides program instructions and/or data to the at least one processor.

Among them, 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.

BRIEF DESCRIPTION OF THE DRAWINGS

Figures 1a to 1c are schematic diagrams of a communication system provided by this application;

Figures 1d, 1e, and 2a to 2e are schematic diagrams of the artificial intelligence (AI) processing process involved in this application;

FIG3 is an interactive schematic diagram of the communication method provided by this application;

Figures 4a to 4e are interactive schematic diagrams of the communication method provided by this application;

5 to 9 are schematic diagrams of the communication device provided in this application.

DETAILED DESCRIPTION

First, some of the terms used in the embodiments of the present application are explained to facilitate understanding by those skilled in the art.

(1) 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. For example, 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. For example, personal communication service (PCS) phones, cordless phones, Session Initiation Protocol (SIP) phones, wireless local loop (WLL) stations, personal digital assistants (PDAs), 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.

As an example and not a limitation, in the embodiments of the present application, the terminal device may also be a wearable device. Wearable devices may also be referred to as wearable smart devices or smart wearable devices, etc., which are a general term for wearable devices that are intelligently designed and developed using wearable technology for daily wear, such as glasses, gloves, watches, clothing, and shoes. A wearable device is a portable device that is worn directly on the body or integrated into the user's clothes or accessories. Wearable devices are not only hardware devices, but also achieve powerful functions through software support, data interaction, and cloud interaction. Broadly speaking, 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.

In addition, the terminal device may also be a terminal device in a communication system that has evolved after the fifth generation (5G) communication system (e.g., a sixth generation (6G) communication system) or a terminal device in a future public land mobile network (PLMN). For example, the 6G network can further expand the form and function of 5G communication terminals. 6G terminals include but are not limited to vehicles, cellular network terminals (with integrated satellite terminal functions), drones, and Internet of Things (IoT) devices.

In an embodiment of the present application, the terminal device may also obtain AI services provided by the network device. Optionally, the terminal device may also have AI processing capabilities.

(2) Network equipment: It can be a device in a wireless network. For example, 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. Currently, some examples of 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. In addition, in a network structure, 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.

Alternatively, a RAN node can be a macro base station, micro base station, indoor base station, relay node, donor node, or wireless controller in a cloud radio access network (CRAN) scenario. A RAN node can also be a server, wearable device, vehicle, or onboard device. For example, the access network device in vehicle-to-everything (V2X) technology can be a roadside unit (RSU).

In another possible scenario, multiple RAN nodes collaborate to assist terminals in achieving wireless access, with different RAN nodes implementing portions of the base station's functionality. For example, a RAN node can be a centralized unit (CU), a distributed unit (DU), a CU-control plane (CP), a CU-user plane (UP), or a radio unit (RU). The CU and DU can be separate or included in the same network element, such as a baseband unit (BBU). The RU can be included in a radio frequency device or radio unit, such as a remote radio unit (RRU), an active antenna unit (AAU), or a remote radio head (RRH).

In different systems, CU (or CU-CP and CU-UP), DU or RU may have different names, but those skilled in the art can understand their meanings. For example, in an open access network (open RAN, O-RAN or ORAN) system, CU may also be called 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, and RU may also be called O-RU. For the convenience of description, 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.

Communication between access network equipment and terminal devices follows a specific protocol layer structure. 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.

For the correspondence between network elements in the ORAN system and their achievable protocol layer functions, please refer to Table 1 below.

Table 1

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), public data network gateway (PDN gateway, P-GW) in the fourth generation (4G) network; access and mobility management function (AMF), user plane function (user In addition, the core network equipment may also include other core network equipment in the 5G network and the next generation network of the 5G network.

In an embodiment of the present application, 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. For example, it 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.

In the embodiments of the present application, 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. In the technical solutions provided in the embodiments of the present application, the technical solutions provided in the embodiments of the present application are described by taking the network device as an example.

(3) Configuration and pre-configuration: In this application, 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.

Furthermore, these values and parameters can be changed or updated.

(4) The terms "system" and "network" in the embodiments of the present application can be used interchangeably. "Multiple" refers to two or more. "And/or" describes the association relationship of associated objects, indicating that three relationships can exist. For example, A and/or B can mean: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The character "/" generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, "at least one of A, B and C" includes A, B, C, AB, AC, BC or ABC. In addition, unless otherwise specified, the ordinal numbers such as "first" and "second" mentioned in the embodiments of the present application are used to distinguish multiple objects, and are not used to limit the order, timing, priority or importance of multiple objects.

(5) “Sending” and “receiving” in the embodiments of the present application indicate the direction of signal transmission. For example, “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. “Receiving 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.

In other words, 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.

It is understandable that 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.

(6) In the embodiments of the present application, "indication" may include direct indication and indirect indication, and may also include explicit indication and implicit indication. The information indicated by a certain information (such as the indication information described below) is called 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. For example, 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.

In this application, unless otherwise specified, the same or similar parts between the various embodiments can refer to each other. In the various embodiments of this application, and the various methods/designs/implementations in each embodiment, if there is no special explanation and logical conflict, the terms and/or descriptions between different embodiments and the various methods/designs/implementations in each embodiment are consistent and can be referenced to each other. The technical features in different embodiments and the various methods/designs/implementations in each embodiment can be combined to form new embodiments, methods, or implementations according to their inherent logical relationships. The following description of the implementation methods of this application does not constitute a limitation on the scope of protection of this application.

The present application can be applied to a long term evolution (LTE) system, a new radio (NR) system, or a communication system evolved after 5G (such as 6G, etc.). The communication system includes at least one network device and/or at least one terminal device.

Please refer to Figure 1a, which 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. In the example shown in Figure 1a, 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, and terminal device 6 is a printer.

As shown in Figure 1a, the AI configuration information sending entity can be a network device. The AI configuration information receiving entity can be terminal devices 1-6. In this case, the network device and terminal devices 1-6 form a communication system. In this 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. At the same time, the network device can send configuration information to terminal devices 1-6.

For example, in Figure 1a, 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. For example, in a connected vehicle system, terminal device 5 sends AI configuration information to terminal devices 4 and 6, respectively, and receives data from them. Correspondingly, terminal devices 4 and 6 receive AI configuration information from terminal device 5 and send data to terminal device 5.

Taking the communication system shown in Figure 1a as an example, in addition to executing communication-related services, different devices (including between network devices, between network devices and terminal devices, and/or between terminal devices) may also execute AI-related services.

As shown in Figure 1b, taking the network device as a base station as an example, 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.

As shown in Figure 1c, taking the terminal devices including a TV and a mobile phone as an example, communication-related services and AI-related services can also be performed between the TV and the mobile phone.

The technical solution provided in this application can be applied to wireless communication systems (such as the systems shown in Figures 1a, 1b, or 1c). For example, 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. For example, 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. Alternatively, the AI network element can also be an independently set network element in the communication system. Optionally, the terminal or the chip built into the terminal can also include an AI entity to implement AI-related functions.

The following is a brief introduction to artificial intelligence (AI) that may be involved in this application.

Artificial intelligence (AI) can imbue machines with human intelligence. For example, it can enable machines to simulate certain intelligent human behaviors using computer hardware and software. Machine learning methods can be used to implement AI. In machine learning, 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. During training, 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). Once the mapping relationship is learned, 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. During training, 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 is different from supervised learning. It is a type of algorithm that learns problem-solving strategies by interacting with the environment. Unlike supervised and unsupervised learning, reinforcement learning problems do not have clear "correct" action label data. The algorithm needs to interact with the environment to obtain reward signals from environmental feedback, and then adjust the decision-making actions to obtain larger reward signal values. For example, in downlink power control, the reinforcement learning model adjusts the downlink transmission power of each user based on the total system throughput fed back by the wireless network, hoping to achieve a higher system throughput. The goal of reinforcement learning is also to learn the mapping relationship between the state of the environment and the better (such as optimal) decision action. However, because the label of the "correct action" cannot be obtained in advance, the network cannot be optimized by calculating the error between the action and the "correct action". Reinforcement learning training This is achieved through iterative interaction with the environment.

A neural network (NN) is a specific model in machine learning technology. According to the universal approximation theorem, NNs can theoretically approximate any continuous function, enabling them to learn arbitrary mappings. Traditional communication systems require extensive expert knowledge to design communication modules. However, 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.

The idea of a neural network is derived from the neuron structure of the brain. For example, each neuron performs a weighted sum operation on its input values and outputs the result through an activation function.

As shown in Figure 1d, it is a schematic diagram of the neuron structure. Assume that the input of the neuron is x = [x ₀ , x ₁ ,…, x _n ], and the weights corresponding to each input are w = [w, w ₁ ,…, w _n ], where n is a positive integer, and w _i and _xi can be various possible types such as decimals, integers (such as 0, positive integers or negative integers, etc.), or complex numbers. 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. Assuming that the activation function of a neuron is: y = f(z) = max(0,z), the output of the neuron is: For another example, if the activation function of a neuron is: y = f(z) = z, then 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.

Furthermore, 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. In one implementation, 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. In another implementation, 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.

An example of a neural network is a deep neural network (DNN). Depending on how the network is constructed, DNNs can include feedforward neural networks (FNNs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs).

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. Furthermore, depending on the type of information intercepted by the window (e.g., people and objects in an image represent different types of information), 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.

During the machine learning model training process, 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.

The following is an illustrative description of the implementation process of the neural network with reference to the accompanying drawings.

1. Fully connected neural network, also known as multilayer perceptron (MLP).

As shown in Figure 2a, 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.

Alternatively, considering neurons in two adjacent layers, the output h of the neurons in the next layer is the weighted sum of all neurons x in the previous layer connected to it and passes through the activation function, which can be expressed as:
h＝f(wx+b).

Among them, w is the weight matrix, b is the bias vector, and f is the activation function.

Alternatively, the output of the neural network can be recursively expressed as:
y=f _n (w _n f _n-1 (…)+b _n ).

Where n is the index of the neural network layer, 1<=n<=N, where N is the total number of neural network layers.

In other words, 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.

Optionally, the specific training method is to use a loss function to evaluate the output results of the neural network.

As shown in Figure 2b, 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.

Alternatively, the gradient descent process can be expressed as:

Among them, θ is the parameter to be optimized (including w and b), L is the loss function, and η is the learning rate, which controls the step size of gradient descent. represents the derivative operation, represents the derivative of θ with respect to L.

Optionally, the backpropagation process utilizes the chain rule for partial derivatives.

As shown in Figure 2c, the gradient of the previous layer parameters can be recursively calculated from the gradient of the next layer parameters, which can be expressed as:

Among them, _wij is the weight of node j connecting to node i, and _si is the weighted sum of the inputs on node i.

2. Federated Learning (FL).

The concept of federated learning effectively solves the current difficulties faced by the development of artificial intelligence. On the premise of fully protecting user data privacy and security, it efficiently completes the model learning task by promoting the collaboration between various edge devices and central servers.

As shown in Figure 2d, 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:

(1) The center initializes the model to be trained And broadcast it to all client devices.

(2) In the round t∈[1,T], client k∈[1,K] based on the local dataset For the received global model Perform E epochs of training to obtain local training results Report it to the central node.

(3) 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.

(4) Repeat steps (2) and (3) until the model finally converges or the number of training rounds reaches the upper limit.

In addition to reporting local models You can also use the local gradient of training Report, the central node averages the local gradient and calculates the The direction of this average gradient updates the global model.

As you can see, in the FL framework, datasets exist on distributed nodes. 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.

3. Decentralized learning: Different from federated learning, decentralized learning is another distributed learning architecture.

As shown in Figure 2e, consider a fully distributed system without a central node. 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:

in, represents the parameters of the local model after the k+1th (k is a natural number) update in the i-th node, Represents the parameters of the local model after the kth update in the i-th node (if k is 0, it means (where αk is the parameter of the local model of node i that is not updated), _αk represents the tuning coefficient, N _i is the set of neighboring nodes of node i, and |N _i | represents the number of elements in the set of neighboring nodes of node i, that is, the number of neighboring nodes of node i. Through information exchange between nodes, the decentralized learning system will eventually learn a unified model.

The technical solution provided in this application can be applied to wireless communication systems (such as the system shown in Figure 1a or Figure 1b). In wireless communication systems, communication nodes generally have signal transceiver capabilities and computing capabilities. Taking network devices with computing capabilities as an example, the computing capabilities of network devices are mainly to provide computing power support for signal transceiver capabilities (for example, sending and receiving signals) to achieve communication tasks between network devices and other communication nodes. In addition to processing communication signals in the communication network, communication devices may also take into account the processing of other communication tasks (such as channel prediction, beam management, resource scheduling, etc.).

For example, a communication node can serve as a participating node in an AI learning system, applying its computing power to a specific part of the AI learning system (e.g., the AI learning system described in FIG2d or FIG2e ). With the advent of the era of large models, deep learning models with massive parameters, such as bidirectional encoder representations from transformers (BERT) and generative pre-trained transformers (GPT), can accomplish increasingly complex tasks and achieve superior performance.

In the above implementation process, the communication device may need to optimize the processing based on the wireless data. However, for the communication device, how to obtain the wireless data is a technical problem that needs to be solved urgently.

In order to solve the above problems, the present application provides a communication method and related devices, which will be described in detail below with reference to the accompanying drawings.

Please refer to FIG3 , which is a schematic diagram of an implementation of the communication method provided in this application. The method includes the following steps.

It should be noted that, in FIG3 , the method is illustrated by taking the first communication device and the second communication device as the execution entities of the interaction diagram as an example, but this application does not limit the execution entities of the interaction diagram. For example, in FIG3 , the execution entity of the method can be replaced by a chip, chip system, processor, logic module, or software in the communication device.

It should be understood that the first communication device may be a terminal device, or the first communication device may be a network device (eg, an access network device).

It should be understood that the second communication device may be a network element/device/unit/module that provides wireless data services, the second communication device may be an internal unit/module of a certain network device (such as an access network device or a core network device), and the second communication device may also be a network element/device independent of the network device (such as an access network device or a core network device), which is not limited here.

S301. A first communication device sends first information, and a second communication device receives the first information. The first information is used to request first wireless data; the first wireless data is included in a first wireless data set among N wireless data sets, each of the N wireless data sets including wireless data and configuration information corresponding to the wireless data, where N is an integer greater than 1.

S302: The second communication device sends second information, and correspondingly, the first communication device receives the second information, wherein the second information includes the first wireless data.

It should be understood that wireless data may be data involved in wireless communication and may be replaced by other terms, such as wireless data list, wireless status data, wireless status data list, etc.

It should be understood that the configuration information corresponding to the wireless data is used to configure one or more of the acquisition, generation, and collection of the wireless data. The configuration information can be expressed in other terms, such as configuration information, collection information, meta-information, meta-information of wireless data, or meta-information of wireless data collection, etc.

In one possible implementation, the wireless data included in each of the N wireless data sets stored by the second communication device may include one or more types of data content. The following description will be made using the first wireless data as an example. Exemplarily, the first wireless data in the second information received by the first communication device in step S302 may include at least one of the following information A to E:

Information A: Acquisition time (or collection time, etc.) of one or more data samples included in the first wireless data. For example, the time in Information A may include the time (e.g., frame number, time slot number, absolute time, etc.) when the node storing the one or more data samples (e.g., the second communication device) acquires the one or more data samples.

Information B. Coordinates of the communication device corresponding to the first wireless data. For example, the coordinates in Information B may include the longitude and latitude coordinates of the communication device corresponding to one or more data samples contained in the first wireless data, relative coordinates with respect to the communication peer, and the like. The communication device corresponding to the first wireless data (or any data sample contained in the first wireless data) may be understood as a communication device that communicates based on the first wireless data (or any data sample contained in the first wireless data), or a communication device that generates the first wireless data (or any data sample contained in the first wireless data).

Information C: Channel data: For example, when a data sample is channel data, the channel data in the information C may include uplink channel information, downlink channel information, or sidelink channel information.

Information D. Decision data. For example, when a data sample is decision data, the decision data in information D may include power parameters, modulation and coding scheme (MCS), number of beams, or beam direction.

Information E. Performance data. For example, if a data sample is performance data, the performance data in information D may include throughput, block error rate (BLER), number of acknowledgment/non-acknowledgment (ACK/NACK) messages, and frequency of ACK/NACK messages.

In one possible implementation of the solution shown in FIG3 , the method further includes: the first communication device sending second wireless data (optionally, further sending second configuration information corresponding to the second wireless data, the second wireless data being obtained based on the second configuration information). Specifically, the first communication device may further locally perform one or more of data acquisition, data collection, and data generation based on the second configuration information to obtain the second wireless data, and send the second wireless data (optionally, further sending the second configuration information), so that the second communication device can obtain and/or store wireless data based on the second wireless data.

Optionally, before the first communication device sends the second wireless data, the method further includes: the first communication device receiving request information for requesting the second wireless data. Specifically, the first communication device may locally perform one or more of data collection, data acquisition, and data generation based on the received request information to obtain the second wireless data, and transmit the second wireless data, thereby implementing one or more of the request-based data collection, data acquisition, and data generation processes.

It should be noted that the locally collected data (e.g., the second wireless data, or the second wireless data and the second configuration information) sent by the first communication device is used to determine or update the N wireless data sets. In other words, for the second communication device, the second communication device can communicate with other communication devices and, through this communication process, receive the wireless data collected locally by the other communication devices. Furthermore, the second communication device can store and/or update the received wireless data to obtain one or more wireless data sets stored by the second communication device.

Optionally, the first wireless data may be data from N wireless data sets, where the wireless data contained in the N wireless data sets may include not only wireless data collected locally by receiving other communication devices, but also other wireless data (e.g., wireless data generated based on a generative AI model, wireless data simulated by a wireless simulator, etc.). In other words, the first wireless data received by the first communication device in step S302 may be wireless data collected locally by a certain communication device, or may be the other wireless data.

In one possible implementation, the configuration information included in each of the N wireless data sets stored by the second communication device may include one or more types of information. The following description will be made using the first configuration information corresponding to the first wireless data as an example. Exemplarily, the first configuration information corresponding to the first wireless data includes at least one of the following information 1 to 7:

Information 1. Time information of the first wireless data. For example, the time information in Information 1 may include the time (eg, frame number, time slot number, absolute time, etc.) when the second communication device acquires the first wireless data, or may include the generation time information of the first wireless data.

Information 2. Type information of the data source of the first wireless data. For example, the type information in Information 2 may indicate that the data source of the first wireless data is acquired over the air interface, obtained through simulation, obtained through ray tracing, generated through an AI model, or obtained from other sources.

Information 3. Environmental information of the first wireless data. For example, the environmental information in Information 3 may indicate whether the communication environment corresponding to the first wireless data is an indoor environment, an outdoor environment, or a dense urban area. For another example, the environmental information in Information 3 may indicate the collection and/or generation of the first wireless data. 1. Wireless data environment perception information, map information, material properties, etc.

Information 4. Identification of the communication device of the first wireless data. For example, the identification in Information 4 may include a device identification of the communication device, a generic public subscription identifier (GPSI), a subscriber user permanent identifier (SUPI), etc.

Information 5. Wireless configuration information of the first wireless data. For example, the wireless configuration information may include at least one of carrier frequency, subcarrier spacing, bandwidth, sampling rate, antenna information, etc.

Information 6. The number of data samples included in the first wireless data.

Information 7. Type information of the data content of the first wireless data. For example, the type information in Information 7 may indicate that the type of the data content of the first wireless data includes channel data, decision data, or performance data.

Optionally, in addition to the above information 1 to information 7, the first configuration information may also be implemented in other ways. For example, the first configuration information may include statistical information of the wireless data, including the mean, variance or distribution of the data.

Optionally, the second information received by the first communication device in step S302 also includes first configuration information corresponding to the first wireless data. In other words, the first communication device can obtain the configuration information corresponding to the first wireless data through the received second information, thereby clearly obtaining the configuration information of the first wireless data, and also facilitating the first communication device to subsequently use the first wireless data to process corresponding communication tasks based on the configuration information.

It can be understood that when the second information also includes the first configuration information corresponding to the first wireless data, the first information sent by the first communication device in step S301 can be used to request the first wireless data and the first configuration information corresponding to the first wireless data (or, the first information can be used to request the first wireless data set).

Based on the solution shown in Figure 3, after the first communication device sends the first information for requesting the first wireless data in step S301, the first communication device can receive the second information including the first wireless data in step S302. In this way, the first communication device and another communication device (e.g., the second communication device) can acquire the first wireless data through the exchange of the first information and the second information.

Furthermore, the first wireless data obtained by the first communication device (i.e., the first wireless data stored by the second communication device) is included in the first wireless data set of the N wireless data sets, and each of the N wireless data sets includes wireless data and configuration information corresponding to the wireless data. That is, the data content contained in different wireless data sets in the N wireless data sets is in the same format. In this way, different communication devices can obtain wireless data through the N wireless data sets in the same data format, which can improve the reusability of wireless data while reducing the complexity of wireless data storage.

In one possible implementation of the solution shown in FIG3 , the first information sent by the first communication device in step S301 may include an index of the first wireless data, an index of the first wireless data set, data filtering condition information for the first wireless data (e.g., the conditions indicated by the data filtering condition information may include one or more of the aforementioned information A through information E), and at least one item of the first configuration information corresponding to the first wireless data. Thus, the first communication device can implement a request for wireless data in a variety of ways. Accordingly, the second communication device can also provide services such as storage, retrieval, and filtering of various types of wireless data.

Optionally, the first communication device can also send a processing request for wireless data to the second communication device (for example, the processing request can be used to indicate a request to delete wireless data, a request to filter wireless data, a request to clean wireless data, etc.). Accordingly, the second communication device can also provide services corresponding to other processing requests for wireless data (for example, wireless data deletion service, wireless data filtering service, wireless data cleaning service, etc.).

Optionally, the first communication device can obtain the index of some or all of the wireless data sets in N wireless data sets through the information published by the second communication device, so that the first communication device can determine the index of the first wireless data and/or the index of the first wireless data set contained in the first information based on the index of some or all of the wireless data sets.

In one possible implementation of the solution shown in FIG3 , the N wireless data sets correspond to M versions, where M is an integer greater than or equal to 1. The method further includes: the first communication device receiving third information, where the third information is used to indicate the version information of the M versions. Specifically, before sending the first information, the first communication device may receive the third information and, based on the third information, determine the version information of the M versions corresponding to the N wireless data sets. In this manner, the first communication device can clarify the version information of the wireless data stored by the second communication device based on the third information, and further generate the first information based on the obtained version information to request the corresponding first wireless data.

It should be understood that N wireless data sets correspond to M versions. It can be understood that the N wireless data sets belong to the M versions, that is, the data in each version includes one or more wireless data sets in the N wireless data sets.

Optionally, different versions contain different sets of wireless data.

Optionally, the third information satisfies at least one of the following:

The third information is carried in a broadcast message or a paging message;

The third information is received through an access network element;

The source address of the third information is the second communication device (ie, the second communication device).

Optionally, before the first communication device receives the third information, the method further includes: the first communication device sending fourth information, where the fourth information is used to request or subscribe to the version information of the M versions. Specifically, the first communication device can request or subscribe to the version information of the M versions through the fourth information, so as to obtain the version information of the M versions through the fourth information.

As an example, as shown in Figure 4a, the N wireless data sets stored in the second communication device may correspond to the M versions in Figure 4a (i.e., version 1...version M, where M is greater than 1 as an example), that is, the data in each version in Figure 4a includes one or more wireless data sets among the N wireless data sets.

As another example, as shown in FIG4b , a certain version among M versions (for example, version m, where m ranges from 1 to M) is taken as an example. In version m, one or more wireless data sets may be included. In this example, the number of wireless data sets included in version m is greater than 3. FIG4b shows three wireless data sets, including a wireless data set indexed as “ID1”, a wireless data set indexed as “ID2”, and a wireless data set indexed as “ID3”. As described above, each wireless data set may include wireless data and configuration information corresponding to the wireless data, that is, the wireless data set indexed as “ID1” includes wireless data indexed as “ID1” and configuration information indexed as “ID1”, the wireless data set indexed as “ID2” includes wireless data indexed as “ID2” and configuration information indexed as “ID2”, and the wireless data set indexed as “ID3” includes wireless data indexed as “ID3” and configuration information indexed as “ID3”.

As another example, in M versions, each version can also store various wireless data sets by means of segment storage. As shown in FIG4c , version m may include P (P is a positive integer) segments, and each segment includes one or more wireless data sets. In this example, segment 1 of the P segments includes a wireless data set indexed as “ID1” and a wireless data set indexed as “ID2”, and segment 2 of the P segments includes a wireless data set indexed as “ID3”. Segment storage is convenient for retrieval and transmission, and transmission in segments is easier to adapt to the size of data transmission supported by the protocol/standard. In addition, retrieval in segments can reduce retrieval complexity and latency.

It is understandable that, in conjunction with the examples shown in Figures 4a to 4c, the first information may include other implementations in addition to the aforementioned implementations. For example, the first information may include at least one of a version index and a segment index.

Optionally, in the M versions of version information, the version information of each version is used to indicate the relevant information of the wireless data in each version, and the version information of different versions is different. Exemplarily, the version information of each version may include configuration information of the wireless data included in each version, that is, the version information of each version may refer to the implementation method of at least one item corresponding to the first configuration information.

For example, the version information of each version may include a version number or a version index of each version.

For another example, the version information of each version may include time information (eg, collection time, collection time period, etc.) of the wireless data in each version, that is, the time of the wireless data of different versions may not be exactly the same.

For example, the version information of each version may include the data type information of the wireless data of each version, that is, the data types of wireless data of different versions (including the data source type of the previous information 2, the data content type in the previous information 7, etc.) may be different.

For another example, the version information of each version may include one or more items of the environment information of the wireless data of each version, that is, the environments of the wireless data of different versions may be different.

As an example, the aforementioned solution can also be applied to a distributed storage scenario, that is, the second communication device may include one or more, different second communication devices can synchronize/transmit/share version information of locally stored wireless data, and/or, different second communication devices can synchronize/transmit/share locally stored wireless data sets.

As shown in Figure 4d, three second communication devices (i.e., second communication device 1, second communication device 2, and second communication device 3) are used as an example. For example, assuming that second communication device 1 is the second communication device in the embodiment shown in Figure 3 above, the second communication device 1 can receive first information requesting first wireless data in step S301, and if the second communication device 1 determines that the locally stored data cannot meet the request, the second communication device 1 can obtain the wireless data (or wireless data set) corresponding to the request from other second communication devices (e.g., second communication device 2 and second communication device 3) based on the request of the first communication device, and send the wireless data (or wireless data set) to the first communication device in step S302.

Optionally, before the second communication device 1 obtains the wireless data (or wireless data set) corresponding to the request from other second communication devices (such as the second communication device 2 and the second communication device 3) based on the request of the first communication device, different second communication devices can synchronize/transmit/share the version information of the locally stored wireless data. In this way, each second communication device can clearly understand the version information of the other second communication devices. The second communication device stores relevant information of the wireless data, so that the solution can be applicable to the scenario of distributed storage of wireless data and reduce storage overhead.

It should be noted that, for any second communication device, the second communication device can obtain wireless data collected and/or generated by other communication devices (e.g., the first communication device) through interaction with the other communication device and store the wireless data. For example, the wireless data stored by the second communication device may include the N wireless data sets described above. Exemplarily, a second communication device may send a wireless data collection instruction to another communication device, so that the other communication device obtains and sends wireless data of one or more locations in the current wireless environment to the second communication device.

Optionally, in the above implementation process, the wireless data collection instruction may instruct one or more communication devices (including terminal devices and/or network devices) to perform wireless data collection. For example, the wireless data collection instruction may instruct communication devices within a specific scenario or a specific geographic area to perform data collection. For another example, the communication devices indicated by the wireless data collection instruction may be randomly selected. For another example, the wireless data collection instruction may instruct communication devices with data collection capabilities to perform data collection.

Optionally, in the above implementation, the wireless data collection instruction may instruct one or more communication devices to continuously collect data over a period of time to obtain wireless data with temporal correlation. For example, among the N wireless data sets stored by the second communication device, some or all of the wireless data sets may be temporally correlated (e.g., the collection times corresponding to different wireless data sets may be partially or completely the same).

Optionally, in the above implementation process, the wireless data collection instruction may instruct to collect wireless data based on time information. For example, the time information may indicate periodic collection, timed collection, etc.

Optionally, in the above implementation process, after one or more communication devices collect data based on the wireless data collection instruction, they can send the collected wireless data to the second communication device (for example, as described above - the first communication device can send the second wireless data to the second communication device). Accordingly, the second communication device can generate an index of the wireless data snapshot for the received wireless data based on time information (for example, the start time, the end time, etc.). Taking Figure 4e as an example, it is an implementation example of the wireless data snapshot. Different graphics can represent different communication devices within a certain geographical location (or within a geographical area). For example, a triangle can represent an access network device within the geographical location (or within a geographical area), an unfilled rectangular box can represent a terminal device within the geographical location (or within a geographical area) that performs data collection based on the wireless data collection instruction, and a filled rectangular box can represent a terminal device within the geographical location (or within a geographical area) that does not perform data collection. In other words, in the example shown in Figure 4e, the second communication device can implement the wireless data collection process of the access network device and/or the terminal device through the wireless data collection instruction.

Referring to Figure 5 , an embodiment of the present application provides a communication device 500. This communication device 500 can implement the functions of the second communication device or the first communication device in the above-described method embodiment, thereby also achieving the beneficial effects of the above-described method embodiment. In this embodiment of the present application, the communication device 500 can be the first communication device (or second communication device), or it can be an integrated circuit or component, such as a chip, within the first communication device (or second communication device).

It should be noted that the transceiver unit 502 may include a sending unit and a receiving unit, which are respectively used to perform sending and receiving.

In one possible implementation, when the device 500 is used to execute the method executed by the first communication device in the aforementioned embodiment, the device 500 includes a processing unit 501 and a transceiver unit 502; the processing unit 501 is used to determine the first information; the transceiver unit 502 is used to send the first information, and the first information is used to request the first wireless data; the first wireless data is included in the first wireless data set of N wireless data sets, and each wireless data set of the N wireless data sets includes wireless data and configuration information corresponding to the wireless data, and N is an integer greater than 1; the transceiver unit 502 is also used to receive second information, and the second information includes the first wireless data.

In one possible implementation, when the device 500 is used to execute the method executed by the second communication device in the aforementioned embodiment, the device 500 includes a processing unit 501 and a transceiver unit 502; the transceiver unit 502 is used to receive first information, and the first information is used to request first wireless data; the first wireless data is included in the first wireless data set of N wireless data sets, each wireless data set of the N wireless data sets includes wireless data and configuration information of the wireless data, and N is an integer greater than 1; the processing unit 501 is used to determine the first wireless data based on the first information; the transceiver unit 502 is also used to send second information, and the second information includes the first wireless data.

It should be noted that, for details of the information execution process and other contents of the units of the above-mentioned communication device 500, please refer to the description in the method embodiment shown above in this application, and will not be repeated here.

Please refer to Fig. 6, which is another schematic structural diagram of a communication device 600 provided in this application. The communication device 600 includes a logic circuit 601 and an input/output interface 602. The communication device 600 may be a chip or an integrated circuit.

5 can be a communication interface, which can be the input/output interface 602 in FIG. 6. The input/output interface 602 may include an input interface and an output interface. Alternatively, the communication interface may also be a transceiver circuit, which may include an input interface circuit and an output interface circuit.

Optionally, the logic circuit 601 is used to determine first information; the input-output interface 602 is used to send first information, the first information is used to request first wireless data; the first wireless data is included in a first wireless data set among N wireless data sets, each wireless data set in the N wireless data sets includes wireless data and configuration information corresponding to the wireless data, and N is an integer greater than 1; the input-output interface 602 is also used to receive second information, the second information includes the first wireless data.

Optionally, the input-output interface 602 is used to receive first information, which is used to request first wireless data; the first wireless data is included in a first wireless data set among N wireless data sets, each wireless data set in the N wireless data sets includes wireless data and configuration information of the wireless data, and N is an integer greater than 1; the logic circuit 601 is used to determine the first wireless data based on the first information; the input-output interface 602 is also used to send second information, which includes the first wireless data.

The logic circuit 601 and the input/output interface 602 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.

In a possible implementation, the processing unit 501 shown in FIG5 may be the logic circuit 601 in FIG6 .

Optionally, the logic circuit 601 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.

Optionally, 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.

Alternatively, 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 and/or wires to read and execute the computer program stored in the memory. The memory and processor may be integrated or physically separate.

Optionally, the processing device may be one or more chips, or one or more integrated circuits. For example, 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.

Please refer to Figure 7, which shows a communication device 700 involved in the above-mentioned embodiments provided in an embodiment of the present application. The communication device 700 can specifically be a communication device serving as a terminal device in the above-mentioned embodiments. The example shown in Figure 7 is that the terminal device is implemented through the terminal device (or a component in the terminal device).

Here, a possible logical structure diagram of the communication device 700 is shown. The communication device 700 may include but is not limited to at least one processor 701 and a communication port 702 .

The transceiver unit 502 shown in FIG5 may be a communication interface, which may be the communication port 702 in FIG7 , which may include an input interface and an output interface. Alternatively, the communication port 702 may be a transceiver circuit, which may include an input interface circuit and an output interface circuit.

Further optionally, the device may also include at least one of a memory 703 and a bus 704. In an embodiment of the present application, the at least one processor 701 is used to control and process the actions of the communication device 700.

In addition, the processor 701 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. Those skilled in the art will clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

It should be noted that the communication device 700 shown in Figure 7 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 7 can refer to the description in the aforementioned method embodiment and will not be repeated here.

Please refer to Figure 8, which is a structural diagram of the communication device 800 involved in the above-mentioned embodiments provided in an embodiment of the present application. The communication device 800 can specifically be a communication device as a network device in the above-mentioned embodiments. The example shown in Figure 8 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 8.

The communication device 800 includes at least one processor 811 and at least one network interface 814. Further optionally, the communication device also includes at least one memory 812, at least one transceiver 813 and one or more antennas 815. The processor 811, the memory 812, the transceiver 813 and the network interface 814 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 815 is connected to the transceiver 813. The network interface 814 is used to enable the communication device to communicate with other communication devices through a communication link. For example, the network interface 814 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 502 shown in FIG5 may be a communication interface, which may be the network interface 814 in FIG8 , which may include an input interface and an output interface. Alternatively, the network interface 814 may be a transceiver circuit, which may include an input interface circuit and an output interface circuit.

Processor 811 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 811 in Figure 8 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. Those skilled in the art will appreciate that 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 812 can exist independently and be connected to processor 811. Alternatively, memory 812 and processor 811 can be integrated together, for example, within a single chip. Memory 812 can store program code for executing the technical solutions of the embodiments of the present application, and execution is controlled by processor 811. The various computer program codes executed can also be considered drivers for processor 811.

Figure 8 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 813 can be used to support the reception or transmission of radio frequency signals between the communication device and the terminal, and the transceiver 813 can be connected to the antenna 815. The transceiver 813 includes a transmitter Tx and a receiver Rx. Specifically, one or more antennas 815 can receive radio frequency signals. The receiver Rx of the transceiver 813 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 811 so that the processor 811 can further process the digital baseband signal or digital intermediate frequency signal, such as demodulation and decoding. In addition, the transmitter Tx in the transceiver 813 is also used to receive a modulated digital baseband signal or digital intermediate frequency signal from the processor 811, 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 815. Specifically, 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 813 may also be referred to as a transceiver unit, a transceiver, a transceiver device, etc. Optionally, a device in the transceiver unit that implements a receiving function may be referred to as a receiving unit, and 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., and the transmitting unit may be referred to as a transmitter, a transmitter, or a transmitting circuit, etc.

It should be noted that the communication device 800 shown in Figure 8 can be specifically used to implement the steps implemented by the network device in the aforementioned method embodiment and achieve the corresponding technical effects of the network device. The specific implementation methods of the communication device 800 shown in Figure 8 can refer to the description in the aforementioned method embodiment and will not be repeated here.

Please refer to FIG9 , which is a schematic structural diagram of the communication device involved in the above-mentioned embodiment provided in an embodiment of the present application.

It is understood that the communication device 900 includes, for example, modules, units, elements, circuits, or interfaces, which are appropriately configured together to implement the technical solutions provided by this application. The communication device 900 may be the terminal device or network device described above, or it may be a terminal device or network device as described above. The components (e.g., chips) in these devices are used to implement the methods described in the following method embodiments. Communication device 900 includes one or more processors 901. Processor 901 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, while the central processing unit can be used to control the communication device (e.g., a RAN node, terminal, or chip), execute software programs, and process software program data.

Optionally, in one design, the processor 901 may include a program 903 (sometimes also referred to as code or instructions), which may be executed on the processor 901 to cause the communication device 900 to perform the methods described in the following embodiments. In yet another possible design, the communication device 900 includes circuitry (not shown in FIG9 ).

Optionally, the communication device 900 may include one or more memories 902 on which a program 904 (sometimes also referred to as code or instructions) is stored. The program 904 can be run on the processor 901, so that the communication device 900 executes the method described in the above method embodiment.

Optionally, the processor 901 and/or the memory 902 may include AI modules 907 and 908, which are used to implement AI-related functions. The AI module may be implemented through software, hardware, or a combination of software and hardware. For example, the AI module may include a wireless intelligent control (RIC) module. For example, the AI module may be a near-real-time RIC or a non-real-time RIC.

Optionally, data may be stored in the processor 901 and/or the memory 902. The processor and the memory may be provided separately or integrated together.

Optionally, the communication device 900 may further include a transceiver 905 and/or an antenna 906. The processor 901 may also be sometimes referred to as a processing unit, and controls the communication device (e.g., a RAN node or terminal). The transceiver 905 may also be sometimes 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 906.

The processing unit 501 shown in FIG5 may be the processor 901. The transceiver unit 502 shown in FIG5 may be a communication interface, which may be the transceiver 905 shown in FIG9 . The transceiver 905 may include an input interface and an output interface. Alternatively, the transceiver 905 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. When the computer-executable instructions are executed by a processor, 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). When the computer program product is executed by the processor, 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. Optionally, the chip system also includes an interface circuit, which provides program instructions and/or data to the at least one processor. In one possible design, 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.

In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. 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.

In addition, the functional units in the various embodiments of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may 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 may be stored in a computer-readable storage medium. Based on this understanding, 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 a number of instructions for a computer device (which may 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 media include: U disk, mobile Various media that can store program code, such as hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk, etc.

Claims (25)

A communication method, comprising: Sending first information, where the first information is used to request first wireless data; the first wireless data is included in a first wireless data set among N wireless data sets, each of the N wireless data sets including wireless data and configuration information corresponding to the wireless data, where N is an integer greater than 1; Second information is received, where the second information includes the first wireless data. The method according to claim 1, wherein the first wireless data includes at least one of the following: The first wireless data includes acquisition time of one or more data samples, coordinates of a communication device of the first wireless data, channel data, decision data, or performance data. The method according to claim 1 or 2 is characterized in that the second information also includes first configuration information corresponding to the first wireless data. The method according to any one of claims 1 to 3, wherein the first configuration information corresponding to the first wireless data includes at least one of the following: time information of the first wireless data, type information of the data source of the first wireless data, environmental information of the first wireless data, identification of the communication device of the first wireless data, wireless configuration information of the first wireless data, number of data samples contained in the first wireless data, or type information of the data content of the first wireless data. The method according to any one of claims 1 to 4, characterized in that the method further comprises: Second wireless data and second configuration information corresponding to the second wireless data are sent, where the second wireless data is obtained based on the second configuration information. The method according to claim 5, further comprising: Request information for requesting the second wireless data is received. The method according to any one of claims 1 to 6 is characterized in that the first information includes at least one of an index of the first wireless data, an index of the first wireless data set, data filtering condition information of the first wireless data, and first configuration information corresponding to the first wireless data. The method according to any one of claims 1 to 7, wherein the N wireless data sets correspond to M versions, where M is an integer greater than or equal to 1; The method further comprises: Receive third information, where the third information is used to indicate version information of the M versions. The method according to claim 8, wherein the third information satisfies at least one of the following: The third information is carried in a broadcast message or a paging message; The third information is received through an access network element; The source address of the third information is the second communication device. The method according to claim 8 or 9, characterized in that the method further comprises: Send fourth information, where the fourth information is used to request or subscribe to the version information of the M versions. A communication method, comprising: Receive first information, the first information is used to request first wireless data; the first wireless data is included in a first wireless data set in N wireless data sets, each wireless data set in the N wireless data sets includes wireless data and the wireless data Configuration information, N is an integer greater than 1; Second information is sent, where the second information includes the first wireless data. The method according to claim 11, wherein the first wireless data includes at least one of the following: The first wireless data includes acquisition time of one or more data samples, coordinates of a communication device of the first wireless data, channel data, decision data, or performance data. The method according to claim 11 or 12 is characterized in that the second information also includes first configuration information corresponding to the first wireless data. The method according to any one of claims 11 to 13, wherein the first configuration information corresponding to the first wireless data includes at least one of the following: time information of the first wireless data, type information of the data source of the first wireless data, environmental information of the first wireless data, identification of the communication device of the first wireless data, wireless configuration information of the first wireless data, number of data samples contained in the first wireless data, or type information of the data content of the first wireless data. The method according to any one of claims 11 to 14, further comprising: Second wireless data and second configuration information corresponding to the second wireless data are received, where the second wireless data is obtained based on the second configuration information. The method according to claim 15, further comprising: Sending request information for requesting the second wireless data. The method according to any one of claims 11 to 16 is characterized in that the first information includes at least one of an index of the first wireless data, an index of the first wireless data set, data filtering condition information of the first wireless data, and first configuration information corresponding to the first wireless data. The method according to any one of claims 11 to 17, wherein the N wireless data sets correspond to M versions, where M is an integer greater than or equal to 1; The method further comprises: Send third information, where the third information is used to indicate version information of the M versions. The method according to claim 18, wherein the third information satisfies at least one of the following: The third information is carried in a broadcast message or a paging message; The third information is received through an access network element; The source address of the third information is the second communication device. The method according to claim 18 or 19, characterized in that the method further comprises: Fourth information is received, where the fourth information is used to request or subscribe to the version information of the M versions. A communication device, characterized by comprising a module for executing the method according to any one of claims 1 to 20. A communication device, characterized by comprising at least one processor, wherein the at least one processor is coupled to a memory; the at least one processor is used to execute the method according to any one of claims 1 to 20. The communication device according to claim 22 is characterized in that the communication device is a chip or a chip system. A readable storage medium, characterized in that the storage medium stores a computer program or instruction. When the communication device executes the command or instruction, the method according to any one of claims 1 to 20 is implemented. A computer program product, characterized by comprising instructions, which, when the instructions are executed on a computer, cause the computer to perform the method according to any one of claims 1 to 20.