WO2025118759A1 - Communication method and related device - Google Patents

Abstract

A communication method and a related device. In the method, a first communication apparatus located on a terminal side generates first information used for indicating a mapping relationship between a position point of a first region and modulation coding scheme (MCS) information. A process of executing MCS map (first information) construction is assigned to the apparatus on the terminal side. The computing power of a terminal-side device is utilized, thereby reducing the computing power overhead of a network device.

Description

A communication method and related equipment

This application claims the priority of the Chinese patent application filed with the State Intellectual Property Office on December 8, 2023, with application number 202311690963.4 and application name “A communication method and related equipment”, all contents of which are incorporated by reference in this application.

Technical Field

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

Background Art

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

Radio maps can reflect the parameter values of various locations in a wireless network. Common radio maps include channel gain maps, received signal strength maps, power spectrum density maps, modulation coding scheme (MCS) maps, etc. Radio maps have been widely used in wireless communications and networking, including network planning, interference control, power control, resource allocation, switching management, multi-hop routing, dynamic spectrum access, and cognitive radio network tasks.

The MCS map is defined as the mapping relationship between each location point in the network and the MCS index ranking, where the MCS index ranking reflects the priority of different MCS indexes. When constructing the MCS map, the construction of the MCS map can be completed on the network side in a centralized manner. However, there may be excess computing power in the communication network. Therefore, how to use this computing power is a technical problem that needs to be solved urgently.

Summary of the invention

The present application provides a communication method and related equipment for delegating the execution process of constructing an MCS map (first information) to a device on the terminal side, utilizing the computing power of the terminal side device, thereby reducing the computing power overhead of the network device.

The first aspect of 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 the first communication device may be a partial component in 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, a first communication device located on the terminal side generates first information for indicating a mapping relationship between a location point of a first area and modulation coding mode MCS information. The execution process of constructing the MCS map (first information) is delegated to the device on the terminal side, which utilizes the computing power of the terminal side device, thereby reducing the computing power overhead of the network device.

It should be understood that the location point may be a location point in a physical sense, or may be a location point in a logical or virtual sense, such as a region set.

It should be understood that the MCS information can be used to indicate the sorting method of multiple MCS indexes, and the sequence number of each MCS index is used to describe the order of the corresponding MCS index in the sorting method, and different sequence numbers correspond to different priorities.

In a possible implementation, the first communication device may be a device on a terminal side in the first area. The first area may be a sub-area after dividing the area served by the network device (eg, the second communication device described in the embodiment of the present application).

In a possible implementation, the first communication device may generate the first information according to the second information; the second information is used to indicate information of a location point within the first area.

For example, the information of the location point may include, but is not limited to, location information of the location point.

For example, the second information may also indicate location information of the network device in the first area, or network environment information of the network device in the first area.

In a possible implementation, the first communication device may send the first information to the second communication device, where the second communication device is a device located on the network side.

In a possible implementation, the information of the location point is obtained based on information collected by the first communication device at the location point; or, the information of the location point is obtained based on information collected by at least one user-side device in the first area at the location point.

In a possible implementation, the first communication device may also obtain a normalization parameter, where the normalization parameter is determined based on information collected at a location point in the first area; and normalize the information of the location point based on the normalization parameter.

In a possible implementation, the first communication device may also obtain a normalization parameter, where the normalization parameter is determined based on information collected from location points in multiple areas including the first area; and normalize the information of the location point based on the normalization parameter.

In a possible implementation, before sending the first information, the method also includes: receiving first indication information from a third communication device; the first indication information indicates a request to obtain a mapping relationship between the location point and MCS information of the first area; the third communication device is a device located on the terminal side; sending the first information includes: sending the first information to the third communication device.

In a possible implementation, before sending the first information, the method also includes: receiving second indication information from a second communication device; the second indication information indicates a mapping relationship between a location point of the first area and MCS information to be sent to a third communication device; the third communication device is a device located on the terminal side; sending the first information includes: sending the first information to the third communication device.

In a possible implementation, after sending the first information, the method also includes: receiving third information; the third information is obtained by aggregating multiple information including the first information; the multiple information includes information for indicating a mapping relationship between the location point of the second area and the MCS information.

In one possible implementation, each of the multiple information is a machine learning model; and the third information is a machine learning model obtained by integrating the model processing capabilities of the multiple information.

Through the above method, since the MCS maps of different areas are generated by the terminal-side device in the area, the MCS map generation processes of different areas are independent of each other (or mostly independent, except that the aggregation and normalization parameter determination of the network-side device will be coupled to each other to a certain extent), so that different areas are calculated independently and more personalized. Such an implementation is especially effective when the MCS map is a machine learning model, because the training samples constructed based on the information in the small area are easier to converge during model training than the model training process based on the training samples constructed based on the information in the large area. In addition, compared with the model training based on the training samples constructed based on the information in the large area, the model training in the small area and the fusion of model capabilities will make the fused model have better processing capabilities for each area, thereby ensuring the performance of the MCS map.

In a possible implementation, the method further includes: performing model training on the third information according to the training samples obtained from the fourth information to obtain fifth information, wherein the fourth information is the updated information of the location point in the first area; and sending the fifth information.

The "updated information of the location points in the first area" here can be understood as an update of the location points in the first area, and then the information of the location points is also updated, or the location points in the first area have not changed (for example, the position has not changed), but the information of the location points has been updated.

It should be understood that the information of the location points in the first area after the update may be completely different from the information of the location points in the first area before the update, or may be partially the same and partially different, which is not limited here.

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 network device), or the second communication device may be a partial component in the communication device (such as a processor, a chip or a chip system, etc.), or the second 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 second communication device may receive first information; the first information is generated by the first communication device; the first communication device is a device located on the terminal side; the first information is used to indicate the mapping relationship between the location point of the first area and the modulation coding mode MCS information.

In a possible implementation, the first communication device communicates with a second communication device, the second communication device is a device on the network side, the first area is a partial area of a target area, and the target area is an area served by the second communication device.

In a possible implementation, the MCS information is used to indicate a sorting method of the MCS indexes.

In a possible implementation, after receiving the first information, the method further includes:

Receiving first indication information from a third communication device; the first indication information is used to indicate a request to obtain a mapping relationship between a location point and MCS information of the first area; the third communication device is a device located at the terminal side;

The first information is sent to the third communication device.

In a possible implementation, the method further includes:

Receiving first indication information from a third communication device; the first indication information is used to indicate a request to obtain a mapping relationship between a location point and MCS information of the first area; the third communication device is a device located at the terminal side;

A second indication message is sent to a device on the terminal side storing the MCS information of the first area, where the second indication message indicates a mapping relationship between a location point and the MCS information of the first area to be sent to a third communication device.

In a possible implementation, the method further includes:

Send third information, where the third information is an aggregation result of multiple information including the first information, and the multiple information includes information for indicating a mapping relationship between a location point of the second area and the MCS information.

In a possible implementation, each of the multiple pieces of information is a machine learning model;

The third information is a machine learning model obtained by integrating the model processing capabilities of the multiple information.

In a possible implementation, after sending the third information, the method further includes:

Fourth information is received, where the fourth information is obtained by performing model training on the third information.

In a possible implementation, the sending of the third information includes:

Based on the third information satisfying the model training objective, the third information is broadcast to the device on the terminal side of the first area.

The third aspect of the present application provides a communication method, which is performed by a third communication device, which may be a communication device (such as a terminal device), or the third communication device may be a partial component in the communication device (such as a processor, a chip or a chip system, etc.), or the third 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 third communication device sends a first indication message; the first indication message indicates a request to obtain a mapping relationship between the location point of the first area and the MCS information; receives the first information; the first information is generated by the first communication device; the first communication device is a device located on the terminal side; the first information is used to indicate the mapping relationship between the location point of the first area and the modulation coding method MCS information.

In a possible implementation, the sending the first indication information includes:

The first communication device communicates with a second communication device, the second communication device is a device on the network side, the first area is a partial area of a target area, and the target area is an area served by the second communication device.

In a possible implementation, the sending the first indication information includes: sending the first indication information to a second communication device; the second communication device is a device located on a network side;

The receiving first information includes:

Receive first information sent by a device on the terminal side within the first area.

In a possible implementation, the sending the first indication information includes:

Sending the first indication information to a device on the terminal side within the first area;

The receiving first information includes:

Receive first information sent by a device on the terminal side within the first area.

In a possible implementation, the sending the first indication information includes: sending the first indication information to a second communication device; the second communication device is a device located on a network side;

The receiving first information includes:

The first information sent from the second communication device is received.

The fourth aspect of the present application provides a communication method, which is performed by a third communication device, which may be a communication device (such as a terminal device), or the third communication device may be a partial component in the communication device (such as a processor, a chip or a chip system, etc.), or the third 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 third communication device receives third information, which is obtained by aggregating multiple information including the first information; the first information is generated by the first communication device; the first communication device is a device located on the terminal side; the first information is used to indicate the mapping relationship between the location point of the first area and the modulation coding mode MCS information.

In a possible implementation, the first communication device communicates with a second communication device, the second communication device is a device on the network side, the first area is a partial area of a target area, and the target area is an area served by the second communication device.

In a fifth aspect, 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 generate first information; the first communication device is a device located on the terminal side; the first information is used to indicate the mapping relationship between the location point of the first area and the modulation coding method MCS information; the transceiver unit is used to send the first information.

In the fifth 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 the sixth aspect of the present application, a communication device is provided, which is a second communication device, and the device includes a transceiver unit and a processing unit, the transceiver unit is used to receive first information; the first information is generated by the second information of the first communication device; the first communication device is a device located on the terminal side; the first information is used to indicate the mapping relationship between the location point of the first area and the modulation coding method MCS information.

In the sixth 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.

The seventh aspect of the present application provides a communication device, which is a third communication device, and the device includes a transceiver unit and a processing unit; the transceiver unit is used to send a first indication information; the first indication information indicates a request to obtain a mapping relationship between the location point and the MCS information of the first area; receive first information; the first information is generated by a first communication device; the first communication device is a device located on the terminal side; the first information is used to indicate the mapping relationship between the location point of the first area and the modulation coding method MCS information.

In the seventh 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 third aspect and the fourth aspect, and achieve corresponding technical effects. For details, please refer to the third aspect and the fourth aspect, which will not be repeated here.

In an eighth aspect, the present application provides a communication device, including at least one processor, wherein the at least one processor is coupled to a memory; The memory is used to store programs or instructions; the at least one processor is used to execute the program or instructions so that the device can implement any possible implementation method of any aspect of the first to fourth aspects mentioned above.

A ninth aspect of 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 as any possible implementation method in any one of the first to fourth aspects mentioned above.

The tenth aspect of the present application provides a communication system, which includes the above-mentioned first communication device and second communication device, or the first communication device and third communication device, or the second communication device and third communication device.

In the eleventh aspect of the present application, a computer-readable storage medium is provided, 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 in any possible implementation manner of any aspect of the first to fourth aspects mentioned above.

The twelfth aspect of 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 any possible implementation method of any aspect of the first to fourth aspects above.

A thirteenth aspect of the present application provides a chip system, which includes at least one processor, and is used to support a communication device to implement any possible implementation method of any aspect of the first to fourth aspects above.

In a 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 also includes an interface circuit, which provides program instructions and/or data for the at least one processor.

BRIEF DESCRIPTION OF THE DRAWINGS

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

FIG. 1d, FIG. 1e and FIG. 2a to FIG. 2e are schematic diagrams of the processing process involved in the present application;

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

4 to 12 are interactive schematic diagrams of the communication method provided by the present application;

13 to 17 are schematic diagrams of the communication device provided in the present application.

DETAILED DESCRIPTION

First, some terms 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 users, or a handheld device with wireless connection function, or other processing devices connected to a wireless modem.

The terminal equipment can communicate with one or more core networks or the Internet via the radio access network (RAN). The terminal equipment can be a mobile terminal equipment, such as a mobile phone (or "cellular" phone, mobile phone), a computer and a data card. For example, it can be a portable, pocket-sized, handheld, computer-built-in or vehicle-mounted mobile device that exchanges 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 (PDA), tablet computers (Pad), computers with wireless transceiver functions 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, terminal equipment (user equipment, UE), mobile terminal (mobile terminal, MT), etc.

As an example but not 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 the use of wearable technology to intelligently design and develop wearable devices 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 realize powerful functions through software support, data interaction, and cloud interaction. Broadly speaking, wearable smart devices include devices with full functions, large size, and can be fully or independently realized on smartphones. Some functions, such as smart watches or smart glasses, and some only focus on a certain type of application function and need to be used in conjunction with other devices such as smart phones, such as various smart bracelets, smart helmets, 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 evolves after the fifth generation (5th generation, 5G) communication system (e.g., a sixth generation (6th generation, 6G) communication system, etc.) or a terminal device in a public land mobile network (PLMN) that evolves in the future, etc. Exemplarily, the 6G network can further expand the form and function of the 5G communication terminal, and the 6G terminal includes but is not limited to a car, a cellular network terminal (with integrated satellite terminal function), a drone, and an Internet of Things (IoT) device.

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 equipment in a wireless network. For example, the network equipment can be a RAN node (or device) that connects a terminal device to a wireless network, which can also be called a base station. At present, some examples of RAN equipment are: base station, evolved NodeB (eNodeB), gNB (gNodeB) in a 5G communication system, transmission reception point (TRP), evolved Node B (eNB), radio network controller (RNC), Node B (NB), home base station (e.g., home evolved Node B, or home Node B, HNB), baseband unit (BBU), or wireless fidelity (Wi-Fi) access point AP, etc. In addition, in a network structure, the network equipment may include a centralized unit (CU) node, a distributed unit (DU) node, or a RAN device including a CU node and a DU node.

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

In another possible scenario, multiple RAN nodes collaborate to assist the terminal in achieving wireless access, and different RAN nodes implement part of the functions of the base station respectively. For example, the RAN node can be a central 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 set separately, or can also be included in the same network element, such as a baseband unit (BBU). The RU can be included in a radio frequency device or a radio frequency 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 also 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, CU, CU-CP, CU-UP, DU and RU are used as examples for description in this application. Any unit of CU (or CU-CP, CU-UP), DU and RU in this application may be implemented by a software module, a hardware module, or a combination of a software module and a hardware module.

The communication between the access network equipment and the terminal equipment follows a certain protocol layer structure. The 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: a radio resource control (RRC) layer, a packet data convergence protocol (PDCP) layer, a radio link control (RLC) layer, a media access control (MAC) layer, or a physical (PHY) layer. The user plane protocol layer may include at least one of the following: a service data adaptation protocol (SDAP) layer, a PDCP layer, an RLC layer, a MAC layer, or a physical layer.

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

Table 1

The network device may be any other device that provides wireless communication functions for the device at the terminal side. The embodiments of the present application do not limit the specific technology and specific device form used by the network device. For the convenience of description, the embodiments of the present application do not limit.

The network equipment may also include core network equipment, such as 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 (UPF) or session management function (SMF) in the 5G network. 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 may be an AI node on the network side (access network or core network), a computing node, a RAN node with AI capabilities, a core network element with AI capabilities, etc.

In the embodiment of the present application, the device for realizing the function of the network device may be a network device, or may be a device capable of supporting the network device to realize the function, such as a chip system, which may be installed in the network device. In the technical solution provided in the embodiment of the present application, the technical solution provided in the embodiment of the present application is described by taking the device for realizing the function of the network device as an example that the network device is used as the device.

(3) Configuration and pre-configuration: In this application, configuration and pre-configuration are used at the same time. Configuration refers to the network device/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 pre-negotiated between the network device/server and the terminal device, or parameter information or parameter values used by the base station/network device or terminal device specified by the standard protocol, or parameter information or parameter values pre-stored in the base station/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 may exist. For example, A and/or B can represent: 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 objects associated with each other 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 items or plural items. For example, "at least one of A, B and C" includes A, B, C, AB, AC, BC or ABC. And, 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) "Send" and "receive" in the embodiments of the present application indicate the direction of signal transmission. For example, "send information to XX" can be understood as the destination of the information is XX, which can include direct sending through the air interface, and also include indirect sending through the air interface by other units or modules. "Receive information from YY" can be understood as the source of the information is YY, which can include direct receiving from YY through the air interface, and also include indirect receiving from YY through the air interface from other units or modules. "Send" can also be understood as the "output" of the chip interface, and "receive" 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 referred to as 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 information to be indicated. The index of the indication information, etc. 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; it may also be possible to indicate only a part of the information to 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 with the aid of the arrangement order of each piece of information agreed in advance (for example, 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.

(7) Modulation and coding scheme table. In this article, the modulation and coding scheme can be referred to as MCS. In this article, the modulation and coding scheme table can be referred to as MCS table. However, this article does not limit the modulation and coding scheme to other translation methods. The MCS table includes at least one of the following contents: modulation mode, coding rate, and spectral efficiency. An MCS table may include at least one modulation and coding scheme information. Each modulation and coding scheme information has a corresponding index (i.e., modulation and coding scheme index (index)), and corresponds to at least one of the following contents: modulation mode, coding rate, and spectral efficiency. Similarly, since this article refers to the modulation and coding scheme as MCS, the modulation and coding scheme information can also be referred to as MCS information.

In this application, unless otherwise specified, the same or similar parts between the various embodiments can refer to each other. In the various embodiments in this application, and the various methods/designs/implementations in each embodiment, if there is no special description 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 implementation methods of this application do 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.), wherein the communication system includes at least one network device and/or at least one terminal device.

Please refer to FIG. 1a, which is a schematic diagram of a communication system in the present application. FIG. 1a shows a network device and six terminal devices, which are respectively a device 1 located on the terminal side, a terminal device 2, a terminal device 3, a terminal device 4, a terminal device 5, and a terminal device 6. In the example shown in FIG. 1a, the terminal device 1 is a smart tea cup, the terminal device 2 is a smart air conditioner, the terminal device 3 is a smart gas station, the terminal device 4 is a means of transportation, the terminal device 5 is a mobile phone, and the terminal device 6 is a printer.

As shown in FIG. 1a, the AI configuration information sending entity may be a device located on the network side. The AI configuration information receiving entity may be a device 1-terminal device 6 located on the terminal side. At this time, the network device and the terminal devices 1-terminal devices 6 form a communication system. In this communication system, the terminal devices 1-terminal devices 6 may send data to the network device, and the network device needs to receive the data sent by the terminal devices 1-terminal devices 6. At the same time, the network device may send configuration information to the terminal devices 1-terminal devices 6.

Exemplarily, in FIG. 1a, terminal device 4-terminal device 6 can also form a communication system. Among them, terminal device 5 is a device located on the network side, that is, an AI configuration information sending entity; terminal device 4 and terminal device 6 are devices located on the terminal side, that is, AI configuration information receiving entities. For example, in a vehicle networking system, terminal device 5 sends AI configuration information to terminal device 4 and terminal device 6 respectively, and receives data sent by terminal device 4 and terminal device 6; correspondingly, terminal device 4 and terminal device 6 receive AI configuration information sent by 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 and network devices, between network devices and terminal devices, and/or between terminal devices and 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 communication-related services and AI-related services can also be performed between different terminal devices.

As shown in FIG. 1c , taking a terminal device 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 the present application can be applied to a wireless communication system (e.g., the system shown in FIG. 1a, FIG. 1b, or FIG. 1c). For example, an AI network element can be introduced into the communication system provided in the present application to implement some or all AI-related operations. The AI network element may also be referred to as an AI node, an AI device, an AI entity, an AI module, an AI model, or an AI unit, etc. The AI network element may be a network element built into a communication system. For example, the AI network element may be an AI module built into: an access network device, a core network device, a cloud server, or a network management (operation, administration and maintenance, OAM) to implement AI-related functions. The OAM may be a network management device for a core network device and/or a network management device for an access network device. Alternatively, the AI network element may also be an independently set network element in the communication system. Optionally, the terminal or the chip built into the terminal may 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 give machines human intelligence, such as allowing machines to use computers The hardware and software of a computer are used to simulate certain intelligent behaviors of humans. In order to realize artificial intelligence, machine learning methods can be used. In machine learning methods, a machine uses training data to learn (or train) a model. The model represents the mapping from input to output. The learned model can be used for reasoning (or prediction), that is, the model can be used to predict the output corresponding to a given input. Among them, the output can also be called the reasoning 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 from sample values to sample labels based on the collected sample values and sample labels, and uses AI models to express the learned mapping relationship. The process of training a machine learning model is the process of learning this mapping relationship. During the training process, the sample values are input into the model to obtain the model's predicted values, and the model parameters are optimized by calculating the error between the model's predicted values and the sample labels (ideal values). After 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 mapping or nonlinear mapping. According to the type of label, the learning task can be divided into classification task and regression task.

Unsupervised learning uses algorithms to discover the inherent patterns of samples based on the collected sample values. One type of algorithm in unsupervised learning uses the samples themselves as supervisory signals, that is, the model learns the mapping relationship from sample to sample, which is called self-supervised learning. During training, the model parameters are optimized by calculating the error between the model's predicted value and the sample itself. Self-supervised learning can be used in applications such as signal compression and decompression recovery. Common algorithms include autoencoders and adversarial generative 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 the environment, and then adjust the decision-making actions to obtain a larger reward signal value. For example, in downlink power control, the reinforcement learning model adjusts the downlink transmission power of each user according to the total system throughput fed back by the wireless network, and then expects to obtain 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 (e.g., 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 is achieved through iterative interaction with the environment.

Neural network (NN) is a specific model in machine learning technology. According to the universal approximation theorem, neural network can theoretically approximate any continuous function, so that neural network has the ability to learn any mapping. Traditional communication systems require rich expert knowledge to design communication modules, while deep learning communication systems based on neural networks can automatically discover implicit pattern structures from a large number of data sets, establish mapping relationships between data, and obtain performance that is superior to traditional modeling methods.

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

As shown in Figure 1d, it is a schematic diagram of a neuron structure. Assume that the input of the neuron is x = [ _x0 , _x1 , ..., _xn ], and the weights corresponding to each input are w = [w, _w1 , ..., _wn ], 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, 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.

In addition, a neural network generally includes multiple layers, each of which may include one or more neurons. By increasing the depth and/or width of a neural network, the expressive power of the neural network can be improved, providing a more powerful information extraction and abstract modeling capability for complex systems. Among them, the depth of a neural network may refer to the number of layers included in the neural network, and the number of neurons included in each layer may be referred to as the width of the layer. In one implementation, the neural network includes an input layer and an output layer. The input layer of the neural network processes the received input information through neurons, passes the processing results to the output layer, and the output layer obtains the output result of the neural network. In another implementation, the neural network includes an input layer, a hidden layer, and an output layer. The input layer of the neural network processes the received input information through neurons, passes the processing results to the middle hidden layer, the hidden layer calculates the received processing results, obtains the calculation results, and the hidden layer passes the calculation results to the output layer or the next adjacent hidden layer, and finally the output layer obtains the output result of the neural network. Among them, a neural network may include one hidden layer, or include multiple hidden layers connected in sequence, without limitation.

The neural network is, for example, a deep neural network (DNN). Depending on how the network is constructed, DNN can include a feedforward neural network (FNN), a convolutional neural network (FNN), or a CNN) and recurrent neural network (RNN).

Figure 1e is a schematic diagram of a FNN network. The characteristic of the FNN network is that the neurons in adjacent layers are fully connected to each other. This characteristic makes FNN usually require a large amount of storage space and leads to high computational complexity.

CNN is a neural network that is specifically designed to process data with a grid-like structure. For example, time series data (discrete sampling on the time axis) and image data (discrete sampling on two dimensions) can be considered to be data with a grid-like structure. CNN does not use all the input information for calculations at once, but uses a fixed-size window to intercept part of the information for convolution operations, which greatly reduces the amount of calculation of model parameters. In addition, depending on the type of information intercepted by the window (for example, people and objects in a picture are different types of information), each window can use different convolution kernel operations, which enables CNN to better extract the features of the input data.

RNN is a type of DNN network that uses feedback time series information. Its input includes the new input value at the current moment and its own output value at the previous moment. RNN is suitable for obtaining sequence features that are correlated in time, and is particularly suitable for applications such as speech recognition and channel coding.

In the above machine learning model training process, a loss function can be defined. The loss function describes the gap or difference between the output value of the model and the ideal target value. The loss function can be expressed in many forms, and there is no restriction on the specific form of the loss function. The model training process can be regarded as the following process: by adjusting some or all parameters of the model, the value of the loss function is less than the threshold value or meets the target requirements.

Models can also be referred to as AI models, rules or other names. AI models can be considered as specific methods for implementing AI functions. AI models characterize the 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 publishing, model inference (or model reasoning, inference, or prediction, etc.), model monitoring or model verification, or reasoning result publishing, etc. AI functions can also be referred to as AI (related) operations, or AI-related functions.

The implementation process of the neural network will be described exemplarily below with reference to the accompanying drawings.

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

As shown in Figure 2a, an MLP consists of an input layer (left), an output layer (right), and multiple hidden layers (middle). Each layer of the MLP contains several nodes, called neurons. The neurons in two adjacent layers are connected to each other.

Optionally, considering the neurons of two adjacent layers, the output h of the neurons in the next layer is the weighted sum of all the 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 ).

Among them, 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 relationship from an input data set to an output data set. Usually, neural networks are randomly initialized, and the process of obtaining this mapping relationship from random w and b using existing data is called neural network training.

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

As shown in FIG2b, the error can be back-propagated, and the neural network parameters (including w and b) can be iteratively optimized by the gradient descent method until the loss function reaches a minimum value, that is, the "better point (e.g., optimal point)" in FIG2b. It can be understood that the neural network parameters corresponding to the "better point (e.g., optimal point)" in FIG2b 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, η is the learning rate, which controls the step size of gradient descent. represents the derivative operation, It means taking the derivative of θ with respect to L.

Optionally, the back-propagation 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, w _ij is the weight of node j connecting node i, and _si is the weighted sum of 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 tasks by promoting the collaboration of 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 as follows:

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

(2) In 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 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 After reporting, the central node averages the local gradients and updates the global model according to the direction of the average gradient.

As you can see, in the FL framework, the data set exists in the distributed nodes, that is, the distributed nodes collect local data sets, perform local training, and report the local results (models or gradients) obtained from the training to the central node. The central node itself does not have a data set, and is only responsible for fusing the training results of the distributed nodes to obtain the global model and send it to the distributed nodes.

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

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 is the parameter of the local model of the i-th node that does not participate in the update), represents the parameters of the local model after the kth update in the jth node, _αk represents the tuning coefficient, _Ni is the set of neighbor nodes of node i, and | _Ni | represents the number of elements in the set of neighbor nodes of node i, that is, the number of neighbor nodes of node i. Through information interaction between nodes, the decentralized learning system will eventually learn a unified model.

Radio maps can reflect the parameter values of various locations in a wireless network. Common radio maps include channel gain maps, received signal strength maps, power spectrum density maps, modulation coding scheme (MCS) maps, etc. Radio maps have been widely used in wireless communications and networking, including network planning, interference control, power control, resource allocation, switching management, multi-hop routing, dynamic spectrum access, and cognitive radio network tasks.

The MCS map is defined as the mapping relationship between each location point in the network and the MCS index ranking, where the MCS index ranking reflects the priority of different MCS indexes. When constructing the MCS map, the construction of the MCS map can be completed on the network side in a centralized manner. However, there may be excess computing power in the communication network. Therefore, how to use this computing power 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 equipment, which are used to enable the computing power of communication nodes to be applied to artificial intelligence (AI) processing of neural networks while also improving the flexibility of neural network deployment. The following will be described in detail with reference to the accompanying drawings.

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 subject of the interaction diagram as an example, but the present application does not limit the execution subject of the interaction diagram. For example, in the embodiments corresponding to FIG3 to FIG12, the execution subject of the method can be replaced by a chip, a chip system, a processor, a logic module or software in a communication device. Among them, the first communication device can be a device located on the terminal side, the second communication device can be a device located on the network side, and the second communication device can be a distributed multi-device deployment or a centralized deployment.

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

S301. A first communication device generates first information; the first communication device is a device located at a terminal side; the first information is used to indicate a mapping relationship between a location point of a first area and modulation coding scheme MCS information.

In a possible implementation, the first communication device may execute a process of generating the first information. The first communication device may be a device on the terminal side within the first area.

Next, the first area, the selection process of the first communication device, the first information, and the generation process of the first information are respectively introduced.

About the first area:

In a possible implementation, the first communication device may be a device on a terminal side in the first area. The first area may be a sub-area after dividing the area served by the network device (eg, the second communication device described in the embodiment of the present application).

When dividing the region, the large region may be divided into multiple sub-regions based on, but not limited to, geographic location, manufacturer information, operator information, environmental information, etc. The multiple sub-regions may include the first region and, optionally, the second region described in the subsequent embodiments.

For example, the area served by the network device can be evenly divided based on the geographical location. For example, reference can be made to FIG4 , which is a schematic diagram of area division, and FIG4 evenly divides the area served by the network device into four sub-areas, and the first area can be one of the four sub-areas after division.

For example, the locations of the terminal devices produced by the same manufacturer can be used as the location points of the same sub-region, and the locations of the terminal devices produced by different manufacturers can be used as the location points of different sub-regions, thereby realizing the division of regions.

For example, the locations of the terminal side devices of the same operator can be used as the location points of the same sub-area, and the locations of the terminal side devices of different operators can be used as the location points of different sub-areas, thereby realizing the division of regions.

In a possible implementation, the first communication device may be a device on the terminal side in the first area for generating the first information.

Regarding how to select a device on the terminal side for calculating the first information from within the first region:

For the first area, one (or multiple distributed) terminal-side devices can be selected as the first communication device (also referred to as a central user device) for generating the first information. For example, during the selection process, the network device can select a device capable of generating the first information as the first communication device based on the computing power and storage size of the terminal-side device. After determining the device for generating the first information, the network device can use indication information to enable the first communication device to perceive itself as the executor of the generation of the first information.

It should be understood that the selection of the first communication device may not be performed by the network device, but by other devices, such as mutual negotiation between devices on the terminal side in the first area, and this application is not limited to this.

How to generate the first information:

In a possible implementation, the first communication device may obtain the MCS information corresponding to the location point based at least on the information of the location point. The location point may be a location point in a physical sense, or a location point in a logical or virtual sense, such as an area set.

The information of the location point may include location information of the location point, and the location information may include but is not limited to one or more of the following information:

a. The location point itself is described by its coordinates, longitude and latitude, etc.

b. The relative position between the location point and a reference position in the first area, where the reference position may be the position of a preset device on the network side. Exemplarily, the relative position information may include direction information and/or distance information between the device on the network side and the location point.

The direction information can be described by the angle information between the device on the network side and the location point and possible deformation (such as the sine and cosine values of the angle value); the distance information can be described by the distance information between the device on the network side and the location point and possible deformation (such as the logarithm of the distance).

In a possible implementation, the first communication device may be based at least on the information of the location point and the network-side device in the first area. Information is used to obtain the MCS information corresponding to the location point.

The information of the network-side device may include the location information of the network device, network environment information, etc. The location information may include but is not limited to one or more of the following information:

a) The coordinates, longitude and latitude of the device on the network side.

b) The relative position between the location point and a reference position in the first area, where the reference position may be the position of a preset device on the network side. Exemplarily, the relative position information may include direction information and/or distance information between the device on the network side and the location point.

Exemplarily, the network environment information may be described based on, for example, an environment map (eg, a satellite map, a topological map, etc.), an environment elevation map, and the like.

The above-mentioned location point information, network device location information, and network device network environment information can be referred to as feature information. Feature information can form a data pair with the corresponding location point. Each data pair can include a location point and feature information corresponding to the location point (e.g., the above-mentioned location point information, network device location information, and network device network environment information). The data pair can be obtained by collecting information based on the device on the end side.

For example, the information collected by the device on the end side may be signal strength, signal propagation direction, time, etc. The information collected by the device on the end side may be mapped to the characteristic information introduced above through certain operations.

When collecting the above-mentioned data pairs, information can be collected at multiple locations through multiple terminal-side devices in the first area, and the collected information can be transmitted to the first communication device, so that the first communication device can determine the second information based on the collected information, and then generate the first information based on the second information. Alternatively, the first communication device can move in the first area and collect information, determine the second information based on the collected information, and then generate the first information based on the second information.

Refer to Figure 5, which is a flowchart of a first communication device acquiring information collected by devices on other ends at corresponding locations, wherein the devices on the terminal side of the first area can collect information at the location and transmit the collected information to the first communication device through the network, and the first communication device can generate second information based on the collected information.

It should be understood that when collecting the above-mentioned multiple sets of data pairs, in order to make the data pairs reflect the network situation more comprehensively, the location points involved in the multiple sets of data pairs can cover the entire area as much as possible.

In addition, abnormal data can be deleted from multiple sets of data pairs (for example, data pairs with missing features can be deleted), features can be normalized, etc., to obtain multiple sets of processed data pairs as the data basis for constructing the MCS map.

Among them, after the first communication device generates the second information based on the information collected by the device on the terminal side, it can normalize the characteristic information in the second information (such as information of the location point, location information of the network device, network environment information of the network device, etc.).

There are two exemplary ways in which normalization can be performed.

The first is intra-regional normalization, which means that each region normalizes the data in the region, and the normalization parameters in different regions may be different. The second is global normalization, which requires the central processing user of each region to upload the normalization parameters of the region to the network side device, and then the network side device calculates the global normalization parameters (such as the mean) and sends them to the central processing user of each region, and then each region uses the same normalization parameters to complete the normalization operation.

Refer to Figure 6, which is a flow chart of the above-mentioned global normalization, wherein the first communication device, as a central processing user in the first area, can transmit the characteristic information in the second information (such as information of the location point, location information of the network device, network environment information of the network device, etc.) to the second communication device on the network side (or other devices on the network side). In addition, the central processing users in other areas can also transmit the characteristic information of the location points in the corresponding areas to the second communication device on the network side. The second communication device on the network side can calculate the normalization parameters based on the characteristic information of multiple areas (including the first area) and send the normalization parameters to the central processing users in each area.

After obtaining the second information (for example, the second information after normalization as mentioned above), the first communication device can generate first information based on the second information, wherein the first information is an MCS map corresponding to the first area. Specifically, the first information may include MCS information corresponding to location points (for example, multiple location points) within the first area.

About the first information.

In a possible implementation, the first information may be used to indicate a mapping relationship between location points and MCS information in the first area. The first information may also be referred to as an MCS map.

The location points in the MCS map may be physical location points or logical or virtual location points, such as area sets, etc. MCS information may be used to indicate the sorting method of multiple MCS indexes, and the sequence number of each MCS index is used to describe the order of the corresponding MCS index in the sorting method, and different sequence numbers correspond to different priorities.

The MCS information may directly or indirectly indicate the order of the MCS index. For example, when generating the MCS information corresponding to each location point When performing the above operations, some intermediate results may be generated, such as but not limited to spectrum efficiency, coding rate, etc. After obtaining the intermediate results, the intermediate results may be mapped to MCS information.

In a possible implementation, the MCS information is used to describe multiple MCS indexes arranged in a preset order, and the sequence number of any MCS index among the multiple MCS indexes is used to describe the order of the MCS index in the preset order, and different sequence numbers correspond to different priorities. In other words, the MCS information reflects the respective priorities of different MCS indexes.

In the embodiment of the present application, the MCS map may be in various specific forms, which are not limited here. Exemplarily, the storage form of the MCS map includes but is not limited to a graph, a list, a machine learning model, etc.

Optionally, the MCS index may correspond to at least one of the following: modulation mode, coding rate (also referred to as coding rate for short) and spectrum efficiency.

There are many ways to construct an MCS map, which are not limited here.

In one example, statistics can be performed on multiple groups of data pairs to obtain at least one MCS information for each location point. MCS indexes with different serial numbers in the MCS information can reflect different priorities. That is to say, based on the multiple groups of data pairs, the most suitable (for example, the most commonly used) MCS index for each location point can be determined in a statistical manner as the corresponding MCS index with a higher priority, and the inappropriate (for example, infrequently used or unavailable) MCS index for each location point can be determined as the corresponding MCS index with a lower priority.

In another example, an MCS map may be constructed based on multiple data pairs by machine learning, so as to learn the relationship between feature information such as location information of the second communication device and the probability of the MCS index being adopted by machine learning.

When machine learning is used to construct an MCS map, there is no restriction on the type of machine learning model used.

Exemplarily, the machine learning model can be a convolutional neural network (CNN), a recurrent neural network (RNN), a graph neural network (GNN), or a combination of one or more subsequently developed machine learning models.

S302: The first communication device sends the first information.

After generating the first information, the first communication device may send the first information.

The first communication device can send first information carrying indication information of the first area (such as the ID of the first area, the identification of the first area, etc.), that is, in addition to indicating the mapping relationship between the location point and the MCS information, the first information can also indicate which area the mapping relationship belongs to.

Through the above method, the execution process of constructing the MCS map (first information) is delegated to the device on the terminal side, utilizing the computing power of the terminal side device, thereby reducing the computing power overhead of the network device.

For example, in the embodiments corresponding to Figures 7 to 11, the first communication device may send the second information to the second communication device located at the network side.

Referring to FIG. 7 , FIG. 7 is a flow chart of a communication method, wherein, compared with the embodiment corresponding to FIG. 3 , FIG. 7 refines S302 to specifically send the first information to the second communication device. Specifically, the communication method includes:

S701. A first communication device generates first information; the first communication device is a device located at a terminal side; the first information is used to indicate a mapping relationship between a location point of a first area and modulation coding scheme MCS information.

S702: The first communication device sends the first information to the second communication device, where the second communication device is a device located on the network side.

Correspondingly, the second communication device can receive the first information; the first information is generated by the first communication device; the first communication device is a device located on the terminal side; the first information is used to indicate the mapping relationship between the location point of the first area and the modulation coding method MCS information.

Referring to FIG. 8 , FIG. 8 is a flow diagram of a communication method, wherein, compared with the embodiment corresponding to FIG. 3 , after receiving the MCS maps of multiple regions, the second communication device in FIG. 8 may aggregate them and send the aggregation results. Specifically, the communication method includes:

S801. A first communication device generates first information; the second communication device is a device located at a terminal side; the first information is used to indicate a mapping relationship between the location point and modulation coding scheme MCS information.

S802: The first communication device sends the first information to the second communication device, where the second communication device is a device located on the network side;

S803, the second communication device aggregates multiple information including the first information to obtain third information;

In a possible implementation, the second communication device may receive an MCS map of the area sent by a central processing user in other areas, and the second communication device may aggregate multiple information including the first information to obtain an aggregated result.

In a possible implementation, each of the multiple information is a machine learning model; the third information is a machine learning model obtained by integrating the model processing capabilities of the multiple information. For example, multiple information can be integrated by, but not limited to, federated learning, model distillation, etc. The model processing capability of the information is integrated, and the integrated information (that is, the third information in the embodiment of the present application) can be capable of determining the corresponding MCS information according to the location points of multiple areas (including the first area).

S804: The second communication device sends third information.

It should be understood that when the first communication device generates the first information in step S801, it can be the previous iterative training process of the machine learning model, and step S803 is after obtaining the aggregation result (that is, the third information).

If the third information meets the training objectives of the model (for example, the model converges or the number of iterations reaches a preset value), the third information can be broadcast in multiple areas (or at least in the first area).

If the third information does not meet the training objectives of the model (for example, the model does not converge or the number of iterations does not reach the preset value), the third information can be sent to the terminal side device (for example, the first communication device) in each area (or at least to the first area). Taking the first communication device as an example, the first communication device can further train the third information.

For example, the first communication device can obtain the information of the location points of the updated first area (or, can also obtain other information of the updated first area), and use the information of the location points of the updated first area to construct training samples. For example, the corresponding MCS information is first determined based on the information of the location points of the updated first area, and the location points and the corresponding MCS information are used as training samples to train the third information. It should be understood that the "information of the location points of the first area after the update" here can be understood as the update of the location points in the first area, and then the information of the location points is also updated, or the location points in the first area have not changed (for example, the position has not changed), but the information of the location points has been updated.

It should be understood that the information of the location points in the first area after the update may be completely different from the information of the location points in the first area before the update, or may be partially the same and partially different, which is not limited here.

Through the above method, since the MCS maps of different areas are generated by the terminal-side device in the area, the MCS map generation processes of different areas are independent of each other (or mostly independent, except that the aggregation and normalization parameter determination of the network-side device will be coupled to each other to a certain extent), so that different areas are calculated independently and more personalized. Such an implementation is especially effective when the MCS map is a machine learning model, because the training samples constructed based on the information in the small area are easier to converge during model training than the model training process based on the training samples constructed based on the information in the large area. In addition, compared with the model training based on the training samples constructed based on the information in the large area, the model training in the small area and the fusion of model capabilities will make the fused model have better processing capabilities for each area, thereby ensuring the performance of the MCS map.

In addition, since the model parameters transmitted between the network-side devices are not information with privacy risks such as location information, the risk of privacy leakage is reduced.

Referring to FIG. 9 , FIG. 9 is a flow diagram of a communication method, wherein, compared with the embodiment corresponding to FIG. 3 , FIG. 9 describes that the second communication device can configure the MCS map on other devices on the terminal side based on the first information generated by the first communication device. Specifically, the communication method includes:

S901. A first communication device generates first information; the second communication device is a device located at a terminal side; the first information is used to indicate a mapping relationship between the location point and modulation coding scheme MCS information.

S902, the first communication device sends the first information to the second communication device, where the second communication device is a device located on the network side;

S903, the second communication device receives first indication information from the third communication device; the first indication information is used to indicate a request to obtain a mapping relationship between the location point and the MCS information of the first area; the third communication device is a device located on the terminal side.

The first indication information may also be referred to as an MCS map deployment request. The request may carry indication information of the first area.

S904: The second communication device sends the first information to the third communication device.

Specifically, the first information carrying indication information of the first area (such as the ID of the first area, the identification of the first area, etc.) can be sent. That is, in addition to indicating the mapping relationship between the location point and the MCS information, the first information can also indicate which area the mapping relationship belongs to.

After acquiring the first information, the first communication device can transmit information according to the first information.

Referring to FIG. 10a, FIG. 10a is a flow diagram of a communication method, wherein, compared with the embodiment corresponding to FIG. 9, FIG. 10a describes that the second communication device can configure the MCS map on other devices on the terminal side based on the first information generated by the first communication device, and the configuration process is not that the network device directly sends the MCS map to the device on the terminal side, but that the devices on the terminal side share information. Specifically, the communication method includes:

S1001, a first communication device generates first information; the second communication device is a device located at the terminal side; the first information is used to indicate the The mapping relationship between the location point and the modulation and coding scheme MCS information.

S1002: The first communication device sends the first information to the second communication device, where the second communication device is a device located on the network side;

S1003, the second communication device receives first indication information from the third communication device; the first indication information is used to indicate a request to obtain a mapping relationship between the location point and the MCS information of the first area; the third communication device is a device located on the terminal side.

S1004. The second communication device sends second indication information to a device on the terminal side storing the MCS information of the first area, where the second indication information indicates that a mapping relationship between the location point and the MCS information of the first area is sent to a third communication device.

The device on the terminal side storing the MCS information of the first area may be a first communication device or a device of a non-central processing user in the first area.

That is to say, the network side device can schedule users in the corresponding area to share the MCS map of the corresponding area.

S1005. The device on the terminal side storing the MCS information of the first area sends the first information to the third communication device.

Specifically, the first information carrying indication information of the first area (such as the ID of the first area, the identification of the first area, etc.) can be sent. That is, in addition to indicating the mapping relationship between the location point and the MCS information, the first information can also indicate which area the mapping relationship belongs to.

Referring to FIG. 10b, FIG. 10b is a flow diagram of a communication method, wherein, compared with the embodiment corresponding to FIG. 10a, FIG. 10b describes a process of configuring the MCS map on other devices on the terminal side by sharing information between devices on the terminal side, without requiring configuration of devices on the network side. Specifically, the communication method includes:

S1006. The first communication device generates first information; the second communication device is a device located at the terminal side; the first information is used to indicate the mapping relationship between the location point and the modulation coding scheme MCS information.

S1007: The first communication device sends the first information to the second communication device, where the second communication device is a device located on the network side;

S1008. The device on the terminal side storing the MCS information of the first area receives first indication information from a third communication device; the first indication information is used to indicate a request to obtain a mapping relationship between the location point and the MCS information of the first area; the third communication device is a device located on the terminal side.

The device on the terminal side storing the MCS information of the first area may be a first communication device or a device of a non-central processing user in the first area.

The first information can be deployed to other terminal-side devices in the first area through data sharing between terminal-side devices in the first area.

S1009. The device on the terminal side storing the MCS information of the first area sends the first information to the third communication device.

Specifically, the first information carrying indication information of the first area (such as the ID of the first area, the identification of the first area, etc.) can be sent. That is, in addition to indicating the mapping relationship between the location point and the MCS information, the first information can also indicate which area the mapping relationship belongs to.

Referring to FIG. 11 , FIG. 11 is a flow diagram of a communication method, wherein, compared with the embodiment corresponding to FIG. 3 , after generating the first information, the first communication device in FIG. 11 may not transmit the first information to the device on the network side, and on this basis, the deployment of the MCS map can still be achieved through information sharing between the end sides. Specifically, the communication method includes:

S1101. A first communication device generates first information; the second communication device is a device located at a terminal side; the first information is used to indicate a mapping relationship between the location point and modulation coding scheme MCS information.

The first information can be deployed to other terminal-side devices in the first area through data sharing between terminal-side devices in the first area.

S1102, the third communication device sends the first indication information to the device storing the MCS information of the first area in the first area; the first indication information indicates a request to obtain a mapping relationship between the location point and the MCS information of the first area; the third communication device is a device located at the terminal side;

The device storing the MCS information of the first area may be the first communication device or a device of a non-central processing user in the first area.

S1103. The third communication device receives the first information sent and storing the MCS information of the first area.

Specifically, the device on the terminal side within the first area can send first information carrying indication information of the first area (such as the ID of the first area, the identification of the first area, etc.). That is to say, in addition to indicating the mapping relationship between the location point and the MCS information, the first information can also indicate which area the mapping relationship belongs to.

That is to say, the user-side device can directly request users in the corresponding area to share the MCS map, and the requested users share the MCS map of the corresponding area.

Since the network-side device does not need to store the MCS map, the storage overhead of the network-side device can be further reduced.

Referring to FIG. 12 , FIG. 12 is a flow diagram of a communication method, wherein, compared with the embodiment corresponding to FIG. 3 , after generating the first information, the first communication device in FIG. 12 may not transmit the first information to the device on the network side, and on this basis, the network side may still regulate the information sharing between the terminal sides, thereby realizing the deployment of the MCS map. Specifically, the communication method includes:

S1201. A first communication device generates first information; the second communication device is a device located at a terminal side; the first information is used to indicate a mapping relationship between the location point and modulation coding scheme MCS information.

The first information can be deployed to other end-side devices in the first area through data sharing.

S1202, the third communication device sends the first indication information to the second communication device; the first indication information indicates a request to obtain a mapping relationship between a location point and MCS information of the first area; the third communication device is a device located at the terminal side;

S1203. The second communication device sends second indication information to a device on the terminal side (for example, may include the first communication device) that stores the MCS information of the first area. The second indication information indicates that a mapping relationship between the location point and the MCS information of the first area is sent to a third communication device.

S1204. The third communication device receives the first information sent by the device on the terminal side in the first area.

Please refer to Figure 13. The embodiment of the present application provides a communication device 1300, which can implement the functions of the second communication device, the first communication device or the third communication device in the above method embodiment, and thus can also achieve the beneficial effects of the above method embodiment. In the embodiment of the present application, the communication device 1300 can be the first communication device (or the second communication device, or the third communication device), or it can be an integrated circuit or component inside the first communication device (or the second communication device, or the third communication device), such as a chip.

It should be noted that the transceiver unit 1302 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 1300 is used to execute the method executed by the first communication device in the aforementioned embodiment, the device 1300 includes a processing unit 1301 and a transceiver unit 1302; the processing unit 1301 is used to: generate first information; the first communication device is a device located on the terminal side; the first information is used to indicate the mapping relationship between the location point of the first area and the modulation coding method MCS information; the transceiver unit 1302 is used to: send the first information.

In one possible implementation, when the device 1300 is used to execute the method executed by the second communication device in the aforementioned embodiment, the device 1300 includes a processing unit 1301 and a transceiver unit 1302; the transceiver unit 1301 is used to: receive first information; the first information is generated by the first communication device; the first communication device is a device located on the terminal side; the first information is used to indicate the mapping relationship between the location point of the first area and the modulation coding method MCS information.

In one possible implementation, when the device 1300 is used to execute the method executed by the third communication device in the aforementioned embodiment, the device 1300 includes a processing unit 1301 and a transceiver unit 1302; the transceiver unit 1301 is used to: send a first indication message; the first indication message indicates a request to obtain a mapping relationship between the location point and the MCS information of the first area; receive first information; the first information is generated by a first communication device; the first communication device is a device located on the terminal side; the first information is used to indicate a mapping relationship between the location point of the first area and the modulation coding method MCS information.

It should be noted that the information execution process and other contents of the units of the above-mentioned communication device 1300 can be specifically referred to the description in the method embodiment shown in the above-mentioned application, and will not be repeated here.

Please refer to Fig. 14, which is another schematic structural diagram of a communication device 1400 provided in the present application. The communication device 1400 includes a logic circuit 1401 and an input/output interface 1402. The communication device 1400 may be a chip or an integrated circuit.

The transceiver unit 1302 shown in Fig. 13 may be a communication interface, which may be the input/output interface 1402 in Fig. 14, which may include an input interface and an output interface. Alternatively, the communication interface may be a transceiver circuit, which may include an input interface circuit and an output interface circuit.

Optionally, the input/output interface 1402 is used to implement the function of the transceiver unit 1302 introduced in the above embodiment, and the logic circuit 1401 is used to implement the function of the processing unit 1301 introduced in the above embodiment.

Optionally, the logic circuit 1401 may be a processing device, and the functions of the processing device may be partially or completely implemented by software. The functions of the processing device may be partially or completely 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 only include a processor. The memory for storing the computer program is located outside the processing device, and the processor is usually The processor is connected to the memory through a circuit/wire to read and execute the computer program stored in the memory. The memory and the processor may be integrated together or may be physically independent of each other.

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 (FPGA), application specific integrated circuits (ASIC), system on chip (SoC), central processor unit (CPU), network processor (NP), digital signal processor (DSP), microcontroller unit (MCU), programmable logic device (PLD) or other integrated chips, or any combination of the above chips or processors.

Please refer to Figure 15, which shows a communication device 1500 involved in the above-mentioned embodiments provided in an embodiment of the present application. The communication device 1500 can specifically be a communication device as a device located on the terminal side in the above-mentioned embodiments. The example shown in Figure 15 is that the device located on the terminal side is implemented through a terminal device (or a component in the terminal device).

Herein, a possible logical structure diagram of the communication device 1500 is shown. The communication device 1500 may include but is not limited to at least one processor 1501 and a communication port 1502 .

The transceiver unit 1302 shown in Fig. 13 may be a communication interface, which may be the communication port 1502 in Fig. 15, which may include an input interface and an output interface. Alternatively, the communication port 1502 may also 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 1503 and a bus 1504 . In an embodiment of the present application, the at least one processor 1501 is used to control and process the actions of the communication device 1500 .

In addition, the processor 1501 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 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 a computing function, such as a combination of one or more microprocessors, a combination of a digital signal processor and a microprocessor, and the like. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

It should be noted that the communication device 1500 shown in Figure 15 can be specifically used to implement the steps implemented by the terminal device in the aforementioned method embodiment, and to achieve the corresponding technical effects of the terminal device. The specific implementation methods of the communication device shown in Figure 15 can refer to the description in the aforementioned method embodiment, and will not be repeated here.

Please refer to Figure 16, which is a structural diagram of the communication device 1600 involved in the above-mentioned embodiments provided in an embodiment of the present application. The communication device 1600 can specifically be the communication device as a device located on the network side in the above-mentioned embodiments. The example shown in Figure 16 is that the device located on the network side is implemented through a network device (or a component in the network device), wherein the structure of the communication device can refer to the structure shown in Figure 16.

The communication device 1600 includes at least one processor 1611 and at least one network interface 1614. Further optionally, the communication device also includes at least one memory 1612, at least one transceiver 1613 and one or more antennas 1615. The processor 1611, the memory 1612, the transceiver 1613 and the network interface 1614 are connected, for example, through 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 1615 is connected to the transceiver 1613. The network interface 1614 is used to enable the communication device to communicate with other communication devices through a communication link. For example, the network interface 1614 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 1302 shown in Fig. 13 may be a communication interface, which may be the network interface 1614 in Fig. 16, and the network interface 1614 may include an input interface and an output interface. Alternatively, the network interface 1614 may also be a transceiver circuit, and the transceiver circuit may include an input interface circuit and an output interface circuit.

Processor 1611 is mainly used to process communication protocols and communication data, and to control the entire communication device, execute software programs, and process the data of software programs, for example, to support the communication device in executing the actions described in the embodiments. The communication device may include a baseband processor and a central processing unit. The baseband processor is mainly used to process communication protocols and communication data, and the central processing unit is mainly used to control the entire terminal device, execute software programs, and process the data of software programs. Processor 1611 in Figure 16 may integrate the functions of 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 that are interconnected through technologies such as a bus. Those skilled in the art will appreciate that a terminal device may include multiple baseband processors to adapt to different network standards, and a terminal device may include multiple central processing units to enhance its processing capabilities. The various components of the terminal device may be connected through various The baseband processor may also be described as a baseband processing circuit or a baseband processing chip. The central processing unit may also be described as a central processing circuit or a central processing chip. The function of processing the communication protocol and the communication data may be built into the processor, or may be stored in the memory in the form of a software program, and the processor executes the software program to implement the baseband processing function.

The memory is mainly used to store software programs and data. The memory 1612 can be independent and connected to the processor 1611. Optionally, the memory 1612 can be integrated with the processor 1611, for example, integrated into a chip. Among them, the memory 1612 can store program codes for executing the technical solutions of the embodiments of the present application, and the execution is controlled by the processor 1611. The various types of computer program codes executed can also be regarded as drivers of the processor 1611.

FIG16 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, etc. 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 embodiments of the present application.

The transceiver 1613 can be used to support the reception or transmission of radio frequency signals between the communication device and the terminal, and the transceiver 1613 can be connected to the antenna 1615. The transceiver 1613 includes a transmitter Tx and a receiver Rx. Specifically, one or more antennas 1615 can receive radio frequency signals, and the receiver Rx of the transceiver 1613 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 the digital intermediate frequency signal to the processor 1611, so that the processor 1611 further processes the digital baseband signal or the digital intermediate frequency signal, such as demodulation and decoding. In addition, the transmitter Tx in the transceiver 1613 is also used to receive a modulated digital baseband signal or a digital intermediate frequency signal from the processor 1611, and convert the modulated digital baseband signal or the digital intermediate frequency signal into a radio frequency signal, and send the radio frequency signal through one or more antennas 1615. Specifically, the receiver Rx can selectively perform one or more stages of down-mixing and analog-to-digital conversion processing on the RF signal to obtain a digital baseband signal or a digital intermediate frequency signal, and the order of the down-mixing and analog-to-digital conversion processing is adjustable. The transmitter Tx can selectively perform one or more stages of up-mixing and digital-to-analog conversion processing on the modulated digital baseband signal or digital intermediate frequency signal to obtain a RF signal, and the order of the up-mixing and digital-to-analog conversion processing is adjustable. The digital baseband signal and the digital intermediate frequency signal can be collectively referred to as a digital signal.

The transceiver 1613 may also be referred to as a transceiver unit, a transceiver, a transceiver device, etc. Optionally, a device in the transceiver unit for implementing a receiving function may be regarded as a receiving unit, and a device in the transceiver unit for implementing a sending function may be regarded as a sending unit, that is, the transceiver unit includes a receiving unit and a sending unit, and the receiving unit may also be referred to as a receiver, an input port, a receiving circuit, etc., and the sending unit may be referred to as a transmitter, a transmitter, or a transmitting circuit, etc.

It should be noted that the communication device 1600 shown in Figure 16 can be specifically used to implement the steps implemented by the network equipment in the aforementioned method embodiment, and to achieve the corresponding technical effects of the network equipment. The specific implementation methods of the communication device 1600 shown in Figure 16 can refer to the description in the aforementioned method embodiment, and will not be repeated here.

Please refer to FIG. 17 , which is a schematic diagram of the structure of the communication device involved in the above-mentioned embodiment provided in an embodiment of the present application.

It can be understood that the communication device 170 includes, for example, modules, units, elements, circuits, or interfaces, etc., which are appropriately configured together to perform the technical solutions provided in this application. The communication device 170 may be the terminal device or network device described above, or a component (such as a chip) in these devices, to implement the method described in the following method embodiment. The communication device 170 includes one or more processors 171. The processor 171 may be a general-purpose processor or a dedicated processor, etc. For example, it may be a baseband processor or a central processing unit. The baseband processor may be used to process communication protocols and communication data, and the central processing unit may be used to control the communication device (such as a RAN node, a terminal, or a chip, etc.), execute software programs, and process data of software programs.

Optionally, in one design, the processor 171 may include a program 173 (sometimes also referred to as code or instruction), and the program 173 may be executed on the processor 171 so that the communication device 170 performs the method described in the following embodiments. In another possible design, the communication device 170 includes a circuit (not shown in FIG. 17 ).

Optionally, the communication device 170 may include one or more memories 172 on which a program 174 (sometimes also referred to as code or instructions) is stored. The program 174 can be run on the processor 171 so that the communication device 170 executes the method described in the above method embodiment.

Optionally, the processor 171 and/or the memory 172 may include an AI module 177, 178, and the AI module is used to implement AI-related functions. The AI module may be implemented by software, hardware, or a combination of software and hardware. For example, the AI module may include a wireless intelligent control (radio intelligence control, RIC) module. For example, the AI module may be a near real-time RIC or a non-real-time RIC.

Optionally, data may also be stored in the processor 171 and/or the memory 172. The processor and the memory may be provided separately or integrated together.

Optionally, the communication device 170 may further include a transceiver 175 and/or an antenna 176. The processor 171 may also be sometimes referred to as a processing unit, and controls the communication device (eg, a RAN node or a terminal). The transceiver 175 may also be sometimes referred to as a transceiver unit, A transceiver, a transceiver circuit, or a transceiver, etc., is used to implement the transceiver function of the communication device through the antenna 176.

The processing unit 1301 shown in FIG13 may be the processor 171. The transceiver unit 1302 shown in FIG13 may be a communication interface, which may be the transceiver 175 in FIG17 , and the transceiver 175 may include an input interface and an output interface. Alternatively, the transceiver 115 may also be a transceiver circuit, and the transceiver circuit may include an input interface circuit and an output interface circuit.

An embodiment of the present application also 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, the second communication device or the third communication device in the aforementioned embodiments.

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, second communication device or third 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 for 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 may be composed of chips, or may include chips and other discrete devices, wherein the communication device may specifically be the first communication device, the second communication device, or the third communication device in the aforementioned method embodiment.

An embodiment of the present application also provides a communication system, wherein the network system architecture includes a first communication device and a second communication device, or a first communication device and a third communication device, or a second communication device and a third communication device in any of the above embodiments.

In the several embodiments provided in the present 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 only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, 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 separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program code.

Claims (38)

A communication method, characterized in that the method comprises: The first communication device generates first information; the first communication device is a device located at the terminal side; the first information is used to indicate a mapping relationship between a location point of the first area and modulation coding scheme MCS information; The first information is sent. The method according to claim 1, characterized in that generating the first information comprises: The first information is generated according to the second information; the second information is used to indicate information of a location point within the first area. The method according to claim 1 or 2 is characterized in that the MCS information is used to indicate the sorting method of the MCS index. The method according to any one of claims 1 to 3 is characterized in that the first communication device communicates with the second communication device, the second communication device is a device on the network side, the first area is a partial area of the target area, and the target area is an area served by the second communication device. The method according to any one of claims 2 to 4, characterized in that the information of the location point is obtained based on information collected by the first communication device at the location point; or The information of the location point is obtained based on information collected at the location point by a device on the at least one user side of the first area. The method according to any one of claims 1 to 5, characterized in that the first information is also used to indicate the first area. The method according to any one of claims 2 to 6, characterized in that the method further comprises: Acquire a normalized parameter, where the normalized parameter is determined based on information collected at a location point in the first area; The information of the location point is normalized according to the normalization parameter. The method according to any one of claims 2 to 6, characterized in that the method further comprises: Acquire a normalized parameter, where the normalized parameter is determined based on information collected at location points in a plurality of areas including the first area; The information of the location point is normalized according to the normalization parameter. The method according to any one of claims 1 to 8, characterized in that the information of the location point includes location information of the location point; or The second information is further used to indicate location information of the network device in the first area, or network environment information of the network device in the first area. The method according to any one of claims 1 to 9, characterized in that sending the first information comprises: The first information is sent to a second communication device, where the second communication device is a device located on a network side. The method according to any one of claims 1 to 9, characterized in that before sending the first information, the method further comprises: Receiving first indication information from a third communication device; the first indication information indicates a request to obtain a mapping relationship between a location point and MCS information of the first area; the third communication device is a device located at a terminal side; The sending the first information includes: The first information is sent to the third communication device. The method according to any one of claims 1 to 11, characterized in that before sending the first information, the method further comprises: receiving second indication information from a second communication device; the second indication information instructs sending the first area to a third communication device The mapping relationship between the location point and the MCS information; the third communication device is a device located at the terminal side; The sending the first information includes: The first information is sent to the third communication device. The method according to any one of claims 1 to 12, characterized in that after sending the first information, the method further comprises: Receive third information; the third information is obtained by aggregating multiple information including the first information; the multiple information includes information for indicating a mapping relationship between a location point of the second area and MCS information. The method according to claim 13, characterized in that Each of the plurality of information is a machine learning model; The third information is a machine learning model obtained by integrating the model processing capabilities of the multiple information. The method according to claim 14, characterized in that the method further comprises: Performing model training on the third information according to the training samples obtained from the fourth information to obtain fifth information, wherein the fourth information is updated information of the location points within the first area; The fifth information is sent. A communication method, characterized in that the method comprises: Receive first information; the first information is generated by a first communication device; the first communication device is a device located on the terminal side; the first information is used to indicate the mapping relationship between the location point of the first area and the modulation coding method MCS information. The method according to claim 16, characterized in that The first communication device communicates with a second communication device, the second communication device is a device on the network side, the first area is a partial area of a target area, and the target area is an area served by the second communication device. The method according to claim 16 or 17 is characterized in that the MCS information is used to indicate the sorting method of the MCS index. The method according to any one of claims 16 to 18, characterized in that after receiving the first information, the method further comprises: receiving first indication information from a third communication device; the first indication information is used to indicate a request to obtain a mapping relationship between a location point and MCS information of the first area; the third communication device is a device located at a terminal side; The first information is sent to the third communication device. The method according to any one of claims 16 to 19, characterized in that the method further comprises: receiving first indication information from a third communication device; the first indication information is used to indicate a request to obtain a mapping relationship between a location point and MCS information of the first area; the third communication device is a device located at a terminal side; Second indication information is sent to a device on the terminal side that stores the MCS information of the first area, and the second indication information indicates a mapping relationship between a location point and the MCS information of the first area to be sent to a third communication device. The method according to any one of claims 16 to 20, characterized in that the method further comprises: Send third information, where the third information is an aggregation result of multiple information including the first information, and the multiple information includes information for indicating a mapping relationship between a location point of the second area and the MCS information. The method according to claim 21, characterized in that Each of the plurality of information is a machine learning model; The third information is a machine learning model obtained by integrating the model processing capabilities of the multiple information. The method according to claim 21 or 22, characterized in that after sending the third information, the method further comprises: Receive fourth information, where the fourth information is obtained by performing model training on the third information. The method according to claim 21 or 22, characterized in that the sending of the third information comprises: Based on the third information satisfying the model training objective, the third information is broadcast to the device on the terminal side of the first area. A communication method, characterized in that the method comprises: Sending first indication information; the first indication information indicates a request to obtain a mapping relationship between a location point and MCS information of the first area; Receive first information; the first information is generated by a first communication device; the first communication device is a device located on the terminal side; the first information is used to indicate the mapping relationship between the location point of the first area and the modulation coding method MCS information. The method according to claim 25, characterized in that the sending of the first indication information comprises: The first communication device communicates with a second communication device, the second communication device is a device on the network side, the first area is a partial area of a target area, and the target area is an area served by the second communication device. The method according to claim 25 or 26, characterized in that the sending of the first indication information comprises: sending the first indication information to a second communication device; the second communication device is a device located on the network side; The receiving of the first information comprises: Receive first information sent by a device on the terminal side within the first area. The method according to claim 25 or 26, characterized in that the sending of the first indication information comprises: Sending the first indication information to a device on the terminal side within the first area; The receiving of the first information comprises: Receive first information sent by a device on the terminal side within the first area. The method according to claim 25 or 26, characterized in that the sending of the first indication information comprises: sending the first indication information to a second communication device; the second communication device is a device located on the network side; The receiving of the first information comprises: The first information sent from the second communication device is received. A communication method, characterized in that the method comprises: Receive third information, where the third information is obtained by aggregating multiple information including the first information; the first information is generated by a first communication device; the first communication device is a device located on the terminal side; the first information is used to indicate the mapping relationship between the location point of the first area and the modulation coding method MCS information. The method according to claim 30, characterized in that The first communication device communicates with a second communication device, the second communication device is a device on the network side, the first area is a partial area of a target area, and the target area is an area served by the second communication device. A communication system, comprising: a first communication device and a second communication device; The first communication device is used to perform the method according to any one of claims 1 to 15; The second communication device is used to execute the method according to any one of claims 16 to 24. The system according to claim 32, characterized in that the system further comprises a third communication device; The third communication device is used to perform the method according to any one of claims 25 to 29. A communication device, characterized in that it comprises a module for executing the method according to any one of claims 1 to 31. A communication device, characterized in that it comprises 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 as described in any one of claims 1 to 31. The communication device according to claim 35 is characterized in that the communication device is a chip or a chip system. A readable storage medium, characterized in that a computer program or instruction is stored in the storage medium, and when the computer program or instruction is executed by a communication device, the method as described in any one of claims 1 to 31 is implemented. A computer program product, characterized in that it comprises instructions, and when the instructions are executed on a computer, the computer is caused to execute the method according to any one of claims 1 to 31.