Communication method and communication device

Abstract

The invention provides a communication method and communication equipment. The communication method comprises the following steps: a first device obtains first auxiliary information, wherein the first auxiliary information is used for indicating characteristics of a first data set; in the embodiment of the invention, the first equipment can obtain the first auxiliary information, so that the first equipment can know the characteristics of the first data set according to the first auxiliary information, and the correct and efficient utilization of the first data set can be ensured.

Description

Communication method and communication device Technical Field

[0001] The present application relates to the field of communication technology, and more particularly, to a communication method and a communication device. Background Art

[0002] With the development of communication technology, the use of wireless communication solutions based on machine learning (ML) / artificial intelligence (AI) is increasing. In such wireless communication solutions, how to correctly and efficiently utilize the acquired wireless communication datasets is a problem that needs to be solved.

[0003] Summary of the Invention

[0004] The present application provides a communication method and a communication device. The following introduces various aspects of the present application.

[0005] In a first aspect, a communication method is provided, including: a first device obtains first auxiliary information, where the first auxiliary information is used to indicate a feature of a first data set.

[0006] In a second aspect, a communication method is provided, including: a second device receiving first auxiliary information sent by a first device, where the first auxiliary information is used to indicate a feature of a first data set.

[0007] According to a third aspect, a communication device is provided. The communication device is a first device, and the first device includes: an acquisition module, configured to acquire first auxiliary information, where the first auxiliary information is used to indicate characteristics of a first data set.

[0008] In a fourth aspect, a communication device is provided, where the communication device is a second device, and the second device includes: a receiving module, configured to receive first auxiliary information sent by the first device, where the first auxiliary information is used to indicate characteristics of a first data set.

[0009] In a fifth aspect, a communication device is provided, comprising a processor, a memory, and a communication interface, wherein the memory is used to store one or more computer programs, and the processor is used to call the computer program in the memory so that the communication device executes part or all of the steps in the method of the first aspect or the second aspect.

[0010] In a sixth aspect, an embodiment of the present application provides a communication system, which includes the first device and / or the second device described above. In another possible design, the system may also include other devices that interact with the first device or the second device in the solution provided in the embodiment of the present application.

[0011] In a seventh aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program, and the computer program enables a communication device to execute part or all of the steps in the methods of the above aspects.

[0012] In an eighth aspect, embodiments of the present application provide a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, wherein the computer program is operable to cause a communication device to perform some or all of the steps of the methods described in each of the above aspects. In some implementations, the computer program product may be a software installation package.

[0013] In a ninth aspect, an embodiment of the present application provides a chip comprising a memory and a processor, wherein the processor can call and run a computer program from the memory to implement some or all of the steps described in the methods of the above aspects.

[0014] In the embodiment of the present application, the first device can obtain the first auxiliary information, which helps the first device understand the characteristics of the first data set based on the first auxiliary information, thereby facilitating the correct and efficient use of the first data set. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] FIG1 is a diagram illustrating an example of a system architecture of a wireless communication system to which an embodiment of the present application may be applied.

[0016] Figure 2 is a schematic diagram of the AI-based CSI encoding and decoding solution.

[0017] FIG3 is a schematic diagram of an AI-based channel estimation solution.

[0018] FIG4 is a schematic diagram of an AI-based positioning solution.

[0019] Figure 5 is a schematic diagram of the AI-based beam management solution.

[0020] FIG6 is a flow chart of a communication method provided in an embodiment of the present application.

[0021] FIG7 is a flow chart of a communication method provided in another embodiment of the present application.

[0022] FIG8 is a flow chart of a communication method provided in yet another embodiment of the present application.

[0023] FIG9 is a flow chart of a communication method provided in yet another embodiment of the present application.

[0024] FIG10 is a schematic structural diagram of a communication device provided in an embodiment of the present application.

[0025] FIG11 is a schematic structural diagram of a communication device provided in another embodiment of the present application.

[0026] FIG12 is a schematic structural diagram of a communication device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] Communication system architecture

[0028] FIG1 is a diagram illustrating an exemplary system architecture of a wireless communication system 100 to which embodiments of the present application may be applied. The wireless communication system 100 may include a network device 110 and a terminal device 120. The network device 110 may be a device that communicates with the terminal device 120. The network device 110 may provide communication coverage for a specific geographic area and may communicate with the terminal device 120 within the coverage area.

[0029] FIG1 exemplarily shows a network device and two terminal devices. Optionally, the wireless communication system 100 may include multiple network devices and each network device may include another number of terminal devices within its coverage area, which is not limited in this embodiment of the present application.

[0030] Optionally, the wireless communication system 100 may further include other network entities such as a network controller and a mobility management entity, which is not limited in the embodiment of the present application.

[0031] It should be understood that the technical solutions of the embodiments of the present application can be applied to various communication systems, such as: fifth generation (5G) system or new radio (NR), long term evolution (LTE) system, LTE frequency division duplex (FDD) system, LTE time division duplex (TDD), etc. The technical solutions provided in this application can also be applied to future communication systems, such as the sixth generation mobile communication system, satellite communication system, etc.

[0032] The technical solution of the embodiment of the present application can be applied to carrier aggregation (CA) scenarios, dual connectivity (DC) scenarios, and standalone (SA) networking scenarios (for example, NR independent deployment scenarios).

[0033] The terminal device in the embodiments of the present application may also be referred to as user equipment (UE), access terminal, user unit, user station, mobile station, mobile station (MS), mobile terminal (MT), remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent or user device. The terminal device in the embodiments of the present application may refer to a device that provides voice and / or data connectivity to a user and can be used to connect people, objects and machines, such as a handheld device with wireless connection function, a vehicle-mounted device, etc. The terminal device in the embodiments of the present application can be a mobile phone, a tablet computer, a laptop computer, a PDA, a mobile internet device (MID), a wearable device, a virtual reality (VR) device, an augmented reality (AR) device, a wireless terminal in industrial control, a wireless terminal in self-driving, a wireless terminal in remote medical surgery, a wireless terminal in a smart grid, a wireless terminal in transportation safety, a wireless terminal in a smart city, a wireless terminal in a smart home, etc. Optionally, the UE can be used to act as a base station. For example, the UE can act as a scheduling entity that provides sidelink signals between UEs in V2X or D2D, etc. For example, a cellular phone and a car communicate with each other using sidelink signals. The cellular phone and smart home devices communicate without relaying the communication signal through the base station.

[0034] The network device in the embodiments of the present application may be a device for communicating with a terminal device. In some embodiments, the network device may refer to an access network device or a radio access network device, such as a base station. The network device in the embodiments of the present application may refer to a radio access network (RAN) node (or device) that connects a terminal device to a wireless network. A base station can broadly cover various names as follows, or be replaced with the following names, such as: NodeB, evolved NodeB (eNB), next generation NodeB (gNB), relay station, access point, transmission point (TRP), transmission point (TP), master station MeNB, secondary station SeNB, multi-standard radio (MSR) node, home base station, network controller, access node, wireless node, access point (AP), transmission node, transceiver node, baseband unit (BBU), remote radio unit (RRU), active antenna unit (AAU), remote radio head (RRH), central unit (CU), distributed unit (DU), positioning node, etc. A base station can be a macro base station, a micro base station, a relay node, a donor node, or the like, or a combination thereof. A base station can also refer to a communication module, modem, or chip used to be provided in the aforementioned device or apparatus. The base station can also be a mobile switching center and a device that performs base station functions in device-to-device D2D, vehicle-to-everything (V2X), and machine-to-machine (M2M) communications, a network-side device in a 6G network, or a device that performs base station functions in future communication systems. The base station can support networks with the same or different access technologies. The embodiments of this application do not limit the specific technology and specific device form used by the network equipment.

[0035] Base stations can be fixed or mobile. For example, a helicopter or drone can be configured to act as a mobile base station, and one or more cells can move based on the location of the mobile base station. In other examples, a helicopter or drone can be configured to act as a device that communicates with another base station.

[0036] In some deployments, the network device in the embodiments of the present application may refer to a CU or a DU, or the network device may include a CU and a DU. The gNB may also include an AAU.

[0037] In some embodiments, the network device may refer to a core network device. For example, the network device may refer to a network element in the core network, such as an access and mobility management function (AMF) network element, a session management function (SMF) network element, a policy control function (PCF) network element, etc.

[0038] The network equipment and terminal devices can be deployed on land, including indoors or outdoors, handheld or vehicle-mounted; they can also be deployed on water; they can also be deployed in the air on aircraft, balloons, and satellites. The embodiments of this application do not limit the scenarios in which the network equipment and terminal devices are located.

[0039] It should be understood that all or part of the functions of the communication device in this application can also be implemented through software functions running on hardware, or through virtualization functions instantiated on a platform (such as a cloud platform).

[0040] Wireless communication solutions based on ML / AI

[0041] Currently, ML / AI-based wireless communication solutions are increasingly being used in communication systems.

[0042] As an example, wireless communication systems can rely on AI to address the channel state information (CSI) feedback problem. As shown in Figure 2, an AI encoder (also known as a CSI compression model) and an AI decoder (also known as a CSI recovery model) can be introduced into the wireless communication system to achieve AI-based CSI information compression and feedback.

[0043] As another example, wireless communication systems can rely on AI to solve the channel estimation problem. Referring to Figure 3, an AI channel estimator can be introduced into a wireless communication system to achieve high-performance estimation of a given channel.

[0044] As another example, wireless communication systems can rely on AI to solve positioning problems. As shown in Figure 4, an AI-based positioning algorithm can be introduced into the wireless communication system. By inputting positioning channel information into the AI-based positioning algorithm, high-precision positioning results can be obtained.

[0045] As another example, wireless communication systems can rely on AI to solve beam management problems. As shown in Figure 5, an AI-based beam management algorithm can be introduced into the wireless communication system. Combined with known beam information, this algorithm can obtain preferred or more refined beam information, or even predict beam information for future moments.

[0046] In ML / AI-based wireless communication solutions, there is a high degree of correlation between ML / AI-based wireless communication solutions and wireless communication datasets (e.g., wireless AI datasets, hereinafter referred to as datasets). For example, there is a high degree of correlation between ML / AI-based wireless communication solutions and datasets. The correlation between ML / AI-based wireless communication solutions and datasets is mainly reflected in the following aspects. First, datasets are required during the construction of ML / AI-based wireless communication solutions / models. For example, datasets are required to train ML / AI models. Second, datasets are required during the management of ML / AI-based wireless communication solutions / models. For example, datasets are required for performance evaluation, solution selection, and online updates of ML / AI-based wireless communication solutions / models. Third, datasets are required during the construction of ML / AI-based wireless communication solutions / models to match scenarios and applications. For example, datasets are required to build scenario-specific datasets or to evaluate and resolve model generalization issues.

[0047] As can be seen from the preceding description, datasets are crucial for ML / AI-based wireless communication solutions. In other words, wireless communication datasets are crucial in many areas. For example, in the construction, implementation, and management of ML / AI-based wireless communication solutions, obtaining accurate, reliable, and comprehensive wireless communication datasets is a key factor in ensuring the smooth progress of these tasks.

[0048] Current ML / AI-based wireless communication solutions generally assume that the ML / AI models are pre-trained and ready for use. In this case, the demand for datasets is relatively low. However, pre-training fully adapted ML / AI models for different problems, scenarios, and environments is difficult both in engineering and implementation. This makes it difficult to develop a single ML / AI-based wireless communication solution that solves all problems, or to pre-prepare diverse solutions for a wide range of wireless ML / AI problems. Therefore, it is crucial for ML / AI-based wireless communication solutions to be able to build, deploy, and optimize them on demand.

[0049] To ensure that ML / AI-based wireless communication solutions can be built, deployed, and optimized on demand, it is necessary to achieve on-demand acquisition of wireless communication datasets. For example, datasets for specific ML / AI problems can be effectively generated online or offline to support the construction, deployment, and optimization of ML / AI-based wireless communication solutions for specific problems.

[0050] However, even when datasets for ML / AI-based wireless communication solutions are available, in some cases, these datasets still cannot be used correctly and efficiently. For example, after a data collection node collects datasets from several base stations, it still faces the problem of being unable to build a detailed model based on the base station level. In another example, after collecting datasets, the data collection node finds that it is unable to build, select, or update ML / AI-based wireless communication solutions based on the dataset's location, time, and other characteristics.

[0051] In order to solve the above problems, the inventors found that the reason why the dataset cannot be used correctly and efficiently after it is obtained is that the dataset obtained in the above manner is only a simple data collection, and lacks description and record of the key features of the dataset and the data acquisition process. For example, after the data collection node collects the dataset in several base stations, it is unable to build a refined model based on the base station level because there is a lack of information about additional associated base stations when collecting the dataset. For another example, after the data collection node collects the dataset, it is found that it is unable to build, select, and update the ML / AI-based wireless communication solution according to the location, time and other characteristics of the dataset because there is a lack of record of location information, time information and other content associated with the data collection when collecting the dataset.

[0052] Therefore, embodiments of the present application provide a communication method and communication device that can construct auxiliary information for a wireless communication dataset to ensure that the wireless communication dataset can be correctly and efficiently used in an ML / AI-based wireless communication solution. The embodiments of the present application are described below with reference to the accompanying drawings.

[0053] Figure 6 is a flow chart of a communication method provided by an embodiment of the present application. The method shown in Figure 6 is described from the perspective of the interaction between the first device and the second device. Before introducing the method of Figure 6, the first device and the second device are first introduced.

[0054] The first device and the second device may be two communication devices in a wireless communication system. The first device may be a collector of a wireless communication dataset (i.e., the first dataset hereinafter), for example, the first device may be a data collection node. In some embodiments, after the first device acquires (e.g., collects or receives) the wireless communication dataset, it may send the wireless communication dataset to the second device. Therefore, the second device may be the receiver of the wireless communication dataset. In this case, the first device may be the sender of the wireless communication dataset.

[0055] In some implementations, the first device may be a terminal device, for example, the terminal device 120 shown in FIG1 . In this case, the second device may be a network device, for example, the network device 110 (access network device or core network device) shown in FIG1 . Alternatively, the second device may be a terminal device, for example, a terminal device different from the first device (another terminal device). Alternatively, the second device may be a third-party server, for example, a third-party organization that provides model building / management services.

[0056] Accordingly, when the first device is a terminal device and the second device is a network device, the first device may send auxiliary information of the wireless communication data set (i.e., the first auxiliary information hereinafter) to the second device in one or more of the following ways: uplink control information (UCI), radio resource control (RRC) signaling, uplink data channel, AI / ML service-dedicated transmission channel, uplink non-access stratum (NAS) message, etc. The uplink data channel mentioned above may include, for example, a physical uplink shared channel (PUSCH) or a physical uplink control channel (PUCCH), etc. When the first device and the second terminal device are both terminal devices, the first device may send auxiliary information of the wireless communication data set to the second device in one or more of the following ways: sidelink communication mode, sidelink data channel, RRC signaling, RRC reconfiguration message, AI / ML service-dedicated transmission channel, etc. The sidelink data channel mentioned above may include, for example, a physical sidelink shared channel (PSSCH) or a physical sidelink control channel (PSCCH). When the first device is a terminal device and the second device is a third-party server, the first device may, for example, send auxiliary information of a wireless communication data set to the second device via a dedicated transmission channel for AI / ML services.

[0057] In some implementations, the first device may be a network device (an access network device or a core network device), for example, the network device 110 shown in FIG1 . In this case, the second device may be a terminal device, for example, the terminal device 120 shown in FIG1 . Alternatively, the second device may be a network device, for example, a network device different from the first device (another network device). Alternatively, the second device may be a third-party server, for example, a third-party organization that provides model building / management services.

[0058] Accordingly, when the first device is a network device and the second device is a terminal device, the first device may send auxiliary information of the wireless communication data set (i.e., the first auxiliary information hereinafter) to the second device through one or more of the following methods: downlink control information (DCI), medium access control control element (MAC CE) message, RRC signaling, RRC reconfiguration message, downlink data channel, AI / ML service-dedicated transmission channel, downlink NAS message, etc. The downlink data channel mentioned above may include, for example, a physical downlink shared channel (PDSCH) or a physical downlink control channel (PDCCH). When the first device and the second device are both network devices, the first device may send auxiliary information of the wireless communication data set to the second device through one or more of the following methods: an interface between network devices, an AI / ML service-dedicated transmission channel, etc. For example, when the first device and the second device are both access network devices (e.g., base stations), the information may be transmitted through an inter-base station interface (e.g., an Xn interface); or, when the first device and the second device are an access network device and an AMF network element, respectively, the information may be transmitted through an N2 interface, etc. When the first device is a network device and the second device is a third-party server, the first device may, for example, send auxiliary information of the wireless communication data set to the second device via a dedicated transmission channel for AI / ML services.

[0059] In some implementations, the first device may be a third-party server, such as a third-party organization that provides model building / management services. In this case, the second device may be a terminal device, such as the terminal device 120 shown in FIG1 . Alternatively, the second device may be a network device, such as the network device 110 shown in FIG1 . Alternatively, the second device may be a third-party server, such as a third-party server different from the first device (another server).

[0060] Accordingly, when the first device is a third-party server, the first device can, for example, send auxiliary information of the wireless communication data set (ie, the first auxiliary information below) to the second device through a dedicated transmission channel for AI / ML services.

[0061] The method shown in Figure 6 is introduced below. The method shown in Figure 6 may include step S610.

[0062] In step S610, a first device obtains first auxiliary information. The first auxiliary information is used to indicate a feature of a first data set.

[0063] In some embodiments, the first data set may be used to train / build / update a wireless communication model, for example, to train / build / update an ML / AI-based wireless communication model.

[0064] In some embodiments, the wireless communication model may be a model deployed on the first device, or a model that the first device is about to deploy. In some embodiments, the wireless communication model may be a model deployed on the second device, or a model that the second device is about to deploy. In this case, the first device may be a data collection node that sends the collected first data set to the second device.

[0065] The embodiments of the present application do not specifically limit the type of the above-mentioned wireless communication model. Exemplarily, the above-mentioned wireless communication model can be a wireless communication model based on ML / AI, which can be applied to a wireless communication system. As a specific example, the wireless communication model can be a CSI decompression model, which can be used to solve the CSI feedback problem. As another example, the wireless communication model can be a channel estimation model, which can be used to solve the channel estimation problem. As yet another example, the wireless communication model can be an AI-based positioning model, which can be used to solve the positioning problem. As yet another example, the wireless communication model can be an AI-based beam management model, which can be used to solve the beam management problem.

[0066] In some embodiments, the first auxiliary information and the first data set may be used together to train / build / update a wireless communication model.

[0067] 6 , in some embodiments, after step S610, the method may further include step S620. In step S620, the first device sends first auxiliary information to the second device.

[0068] In the embodiments of the present application, the first auxiliary information is associated with the first dataset and can be used to indicate characteristics of the first dataset. In other words, the first auxiliary information can be used to indicate relevant information about the first dataset. That is, the first auxiliary information can provide information beyond the first dataset itself, which helps to understand the characteristics or relevant information of the first dataset based on the first auxiliary information, thereby facilitating the correct and efficient use of the first dataset.

[0069] In an embodiment of the present application, the provision of the first auxiliary information is conducive to the utilization of the first data set. When a data user (for example, a first device or a second device) uses the first data set, the first data set and the first auxiliary information corresponding to the first data set can be used to jointly train / construct / update a wireless communication model. On the one hand, it is conducive to building a wireless communication model that is adapted to the scenario / configuration / area. On the other hand, it is also beneficial for data users to have clearer data feature information when performing model migration, updating, and tuning to effectively complete these tasks.

[0070] The following is a detailed introduction to the content of the first auxiliary information and the characteristics of the first data set indicated by the first auxiliary information.

[0071] In some embodiments, the first auxiliary information can be used to indicate one or more of the following characteristics of the first data set: spatial characteristics of the first data set, characteristics of nodes associated with the first data set, type characteristics of the first data set, environmental characteristics of the first data set, transmission-related characteristics of the first data set, and temporal characteristics of the first data set.

[0072] In some embodiments, the spatial features of the first data set may include, for example, features related to the spatial position of the first data set, such as features related to the acquisition area or acquisition position of the first data set, or features related to the cell or beam of the first data set.

[0073] Correspondingly, the first auxiliary information for indicating the spatial characteristics of the first data set may include one or more of the following: acquisition area / location information of the first data set, cell-related information of the first data set, and beam-related information of the first data set.

[0074] Taking the example of the first auxiliary information including the acquisition region / location information of the first dataset, the acquisition region / location information of the first dataset can be associated with the first dataset to indicate the spatial characteristics of the first dataset. For example, when acquiring the first dataset, the first device can associate data acquired in different regions with the acquisition region based on the region division method (or region division scheme) for the data to be collected.

[0075] As an example, the area to be served can be divided into N different areas, and area i (i≤N) can be used as auxiliary information for the data set collected in area i. That is, if the data set collected in area i is the first data set, area i can be used as the first auxiliary information.

[0076] In some embodiments, before or after acquiring the first data set, the first device further needs to determine a region division method associated with the acquisition region of the first data set, so as to determine the acquisition region / location of the first data set according to the region division method.

[0077] As an implementation, the aforementioned area division method may be predefined by a protocol. For example, the protocol may predefine the division of the area to be served into N different areas. The first device may determine the acquisition area information (e.g., area ID) corresponding to the first data set based on the division method of the different areas, and use the acquisition area / location information of the first data set as the first auxiliary information.

[0078] In some embodiments, after the first device determines the region division method based on a protocol predefined method, it may send the obtained first auxiliary information to the second device. Assuming the first device is a terminal device and the second device is a network device, referring to FIG7 , in step S710, the terminal device may determine the region division method. This region division method may be used by the terminal device to determine the acquisition region information corresponding to the first dataset. After determining the region division method, the terminal device may proceed to step S720, i.e., sending the first auxiliary information to the network device. This first auxiliary information may include, for example, acquisition region / location information for the first dataset.

[0079] As another implementation, the aforementioned area division method may be indicated by the network device to the first device. The network device may pre-divide the area to be served into N different areas and indicate the area division method to the first device. In this way, the first device may determine the acquisition area information corresponding to the first data set based on the area division method indicated by the network device, and use the acquisition area / location information of the first data set as the first auxiliary information.

[0080] In some embodiments, after the first device determines the region division method based on the method indicated by the network device, it can send the obtained first auxiliary information to the second device. Assuming that the first device is a terminal device and the second device is a network device, referring to Figure 8, in step S810, the network device indicates the region division method to the terminal device. This region division method can be used by the terminal device to determine the acquisition region information corresponding to the first dataset. After determining the region division method, the terminal device can proceed to step S820, i.e., send the first auxiliary information to the network device. This first auxiliary information may include, for example, acquisition region / location information of the first dataset.

[0081] As another implementation, the area division method can be determined by the first device itself. The first device can pre-divide the area to be served into N different areas, and then determine the acquisition area information corresponding to the first data set based on the area division method, and use the acquisition area / location information of the first data set as the first auxiliary information.

[0082] In some embodiments, after the first device determines the area division method, it can also indicate the area division method to the second device, so that the second device can determine which area / location the acquisition area / location information of the first data set in the first auxiliary information represents based on the area division method. In some embodiments, in addition to sending the area division method to the second device, the terminal device can also send the first auxiliary information to the second device. The embodiment of the present application does not limit the order in which the first device sends the area division method and sends the first auxiliary information to the second device. For example, they can be sent at the same time, or the area division method can be sent first, or the first auxiliary information can be sent first. Assuming that the first device is a terminal device and the second device is a network device, see Figure 9. In step S910, the terminal device indicates the area division method to the network device. The area division method can be used by the network device to determine the acquisition area information corresponding to the first data set. In step S920, the terminal device sends the first auxiliary information to the network device. The first auxiliary information may, for example, include the acquisition area / location information of the first data set.

[0083] The embodiment of the present application does not limit the division criteria for dividing the area to be served into N different areas. For example, the division can be based on absolute position coordinates or relative position coordinates; or based on boundary coordinates; or based on area demarcation rules, etc.

[0084] In addition to the aforementioned method of determining the acquisition area / location information of the first data set by region division, the acquisition area / location information of the first data set may also be determined by other methods, which are not limited in the embodiments of the present application. For example, the first device may determine the acquisition area / location information of the first data set by using global positioning system (GPS) information.

[0085] Taking the example of the first auxiliary information including cell-related information of the first dataset, the cell-related information of the first dataset can be associated with the first dataset to indicate the spatial characteristics of the first dataset. For example, when acquiring the first dataset, the first device can associate the first dataset acquired within a specific cell with the specific cell, or can indicate that the first dataset originates from the specific cell. For example, when there are X different cells within the data collection area, the first device can indicate that the first dataset is associated with cell i (i ≤ X) or originates from cell i.

[0086] Taking the example of the first auxiliary information including beam-related information for the first dataset, the beam-related information for the first dataset can be associated with the first dataset to indicate the spatial characteristics of the first dataset. For example, when acquiring the first dataset, the first device can associate the first dataset acquired within a specific beam with the specific beam, or can indicate that the first dataset is from the specific beam. For example, when there are Y different beams within the data collection area, the first device can indicate that the first dataset is associated with beam i (i ≤ Y) or is from beam i.

[0087] The nodes associated with the first dataset may include, for example, a data collection node corresponding to the first dataset, a target node to be collected corresponding to the first dataset, and a node using the first dataset. The features of the nodes associated with the first dataset may include, for example, speed-related features, identity-related features, configuration-related features, and location-related features of the nodes.

[0088] Correspondingly, the first auxiliary information used to indicate the characteristics of the node associated with the first data set may include one or more of the following: speed information of the node associated with the first data set, identity information of the node associated with the first data set, configuration information of the node associated with the first data set, and location information of the node associated with the first data set, etc.

[0089] For example, if the first auxiliary information includes speed information of a node associated with the first dataset, the speed information of the node associated with the first dataset can be associated with the first dataset to indicate characteristics of the node associated with the first dataset. For example, the first device can obtain speed information of the data collection node corresponding to the first dataset or speed information of the target node being collected corresponding to the first dataset.

[0090] In some embodiments, the speed information of the node associated with the first data set may refer to the speed level information of the node associated with the first data set, for example, the node associated with the first data set is in one of a stationary state, a low-speed motion state, a medium-speed motion state, a high-speed motion state, and an ultra-high-speed motion state.

[0091] In some embodiments, the speed information of the node associated with the first data set may refer to speed magnitude information of the node associated with the first data set, for example, the movement speed of the node associated with the first data set is Z km / h.

[0092] Taking the example of the first auxiliary information including the identity information of the node associated with the first dataset, the identity information of the node associated with the first dataset can be associated with the first dataset to indicate characteristics of the node associated with the first dataset. For example, the first device can obtain the identity information of the data collection node corresponding to the first dataset, the identity information of the target node for collection corresponding to the first dataset, the identity information of the training / use / management node of the model corresponding to the first dataset, etc.

[0093] In some embodiments, the identity information of the node associated with the first data set can be indicated by the node ID associated with the first data set, such as the ID of the terminal device, the ID of the base station, the ID of the core network element, etc.

[0094] Taking the example of the first auxiliary information including configuration information of a node associated with the first dataset, the configuration information of the node associated with the first dataset can be associated with the first dataset to indicate characteristics of the node associated with the first dataset. For example, the first device can obtain configuration information of a data acquisition node corresponding to the first dataset, configuration information of a training / use / management node of a model corresponding to the first dataset, etc. For example, the first device can obtain configuration information of a terminal device, configuration information of a base station, etc.

[0095] For example, if the first auxiliary information includes the location information of a node associated with the first dataset, the location information of the node associated with the first dataset can be associated with the first dataset to indicate characteristics of the node associated with the first dataset. For example, the first device can obtain the location information of the data collection node corresponding to the first dataset, the location information of the training / use / management node of the model corresponding to the first dataset, and so on.

[0096] It should be noted that the location information of the node associated with the first data set may include, for example, posture information, direction information, etc. of the node associated with the first data set, for example, posture information and direction information of the terminal device, direction information of the base station, etc.

[0097] The type feature of the first data set can be used to indicate the data type of the first data set, such as the data type included in the first data set, the type of input data of the model corresponding to the first data set, the type of output data of the model corresponding to the first data set, etc.

[0098] Correspondingly, the first auxiliary information for indicating the type characteristics of the first data set may include: type information of the first data set. That is, the first device may associate the type information of the first data set with the first data set to indicate the type characteristics of the first data set.

[0099] The embodiment of the present application does not limit the data type of the first data set. For example, the type information of the first data set can be used to indicate that the data type of the first data set is one or more of the following data types: channel information H, or channel precoding information W, or reference signal information RS, or measurement information of a specific cell or beam. As an example, the first data set may include channel information H, or precoding information W, or reference signal information RS, or cell / beam measurement results, etc. The cell / beam measurement results can be indicated using one or more of the following information, such as reference signal received power (RSRP), reference signal received quality (RSRQ), received signal strength indicator (RSSI), etc.

[0100] In some embodiments, the type information of the first data set may also be used to indicate data format information of the above different types of data information, such as the dimension, size, quantity, configuration, etc. of different types of data information.

[0101] The environmental characteristics of the first data set may be used to indicate characteristics related to a collection environment, characteristics related to a usage environment, and the like of the first data set.

[0102] Correspondingly, the first auxiliary information for indicating the environmental characteristics of the first data set may include: collection environment information of the first data set. That is, the first device may associate the collection environment information of the first data set with the first data set to indicate the environmental characteristics of the first data set.

[0103] In this embodiment of the present application, the collection environment information of the first dataset can be used to indicate whether there are any obstructions in the collection area of ​​the first dataset and the degree of obstruction caused by the obstructions. For example, the collection environment information of the first dataset may include: a densely built-up area environment, an ordinary built-up area environment, a small number of built-up areas environment, an unobstructed area environment, etc.

[0104] The transmission-related features of the first data set may be used to indicate relevant features of the first data set during the transmission process, and may include, for example, features related to the transmission configuration, features related to the transmission mode, and the like.

[0105] Correspondingly, the first auxiliary information for indicating the transmission-related characteristics of the first data set may include: transmission configuration information of the first data set. In other words, the first device may associate the transmission configuration information of the first data set with the first data set to indicate the transmission-related characteristics of the first data set.

[0106] The embodiments of the present application do not limit the specific content of the transmission configuration information of the first data set. Exemplarily, the transmission configuration information of the first data set may include one or more of the following information: transmitting antenna information associated with the first data set, receiving antenna information associated with the first data set, time domain dimension information for transmitting the first data set (e.g., period, time domain position, etc.), frequency domain dimension information for transmitting the first data set (e.g., bandwidth, frequency domain density, etc.), reference signal configuration associated with the first data set, measurement configuration associated with the first data set, etc.

[0107] The time feature of the first data set may include, for example, acquisition time information of the first data set, update time information of the first data set, and the like.

[0108] The first auxiliary information listed above can provide information beyond the first dataset itself, which is beneficial for data utilization. When data users use the data, the first auxiliary information facilitates the training, construction, and updating of wireless communication solutions, as well as the construction of scenario / configuration / region adaptation solutions. For example, wireless communication models for different regions can be constructed based on different regional information, wireless communication models for different cells can be constructed based on different cell information, and wireless communication models with different speed settings for different usage scenarios can be constructed based on different speed information.

[0109] In some embodiments, the first auxiliary information may be indicated by an auxiliary information ID. That is, the first auxiliary information may be constructed in the form of an auxiliary information ID and indicated or used in the wireless communication system.

[0110] Exemplarily, the auxiliary information ID may include one or more of the following: acquisition area / location related ID, cell related ID, beam related ID, speed ID, data type ID, transmission configuration ID, environmental information ID, node information ID, etc., which are introduced in detail below.

[0111] Taking the auxiliary information ID including the acquisition area / location related ID as an example, after the service area is divided into N different areas, different areas may correspond to different acquisition area IDs, for example, area i (i≤N) corresponds to acquisition area ID i.

[0112] In some embodiments, the region / location related ID may be identified by K1 bits or K1 numbers. For example, the region ID of region i may be identified by K1 bits or K1 numbers as the auxiliary information ID of the first data set collected in region i.

[0113] Taking the example of the auxiliary information ID including a cell-related ID or a beam-related ID, when collecting the first data set within a specific cell, the cell-related ID of the specific cell can be used as the auxiliary information ID of the first data set; or, when collecting the first data set within a specific beam, the beam-related ID of the specific beam can be used as the auxiliary information ID of the first data set.

[0114] The embodiment of the present application does not specifically limit the representation method of the cell-related ID. For example, the cell-related ID may include a cell ID. In some embodiments, the cell ID may include, for example, a physical cell identifier (PCI) of the cell, a cell global identifier (CGI) of the cell, etc.

[0115] The embodiment of the present application does not specifically limit the representation method of the beam-related ID. For example, the cell-related ID may include a beam ID, a beam reference signal ID, etc.

[0116] In some embodiments, the cell-related ID or beam-related ID may be identified by K2 bits or K2 numbers, serving as the auxiliary information ID of the first data set associated with different cells or different beams.

[0117] Taking the speed ID as an example, the speed ID of the data collection node or the data usage node may be associated with the first data set, and the speed ID may be used as the auxiliary information ID of the first data set.

[0118] In some embodiments, the speed ID may refer to different speed level IDs. For example, different speed levels may be indicated by K bits of information. For example, 3 bits of information may be used to indicate stationary, low speed, medium speed, high speed, ultra-high speed, and other speed levels.

[0119] In some embodiments, the speed ID may refer to different speed size IDs, for example, may be identified by K3 bits or K3 numbers, as the auxiliary information ID of the first data set of different speed size information.

[0120] Taking the data type ID as an example, different data types can be associated with different data type IDs. For example, channel information H, channel precoding information W, reference signal information RS, or measurement information of a specific cell / beam can be associated with different data IDs.

[0121] In some embodiments, the data type ID may be identified by K4 bits or K4 numbers, serving as auxiliary information IDs for first data sets of different data types.

[0122] Taking the transmission configuration ID as an example, the transmission configuration ID can be used to indicate different transmission configuration types, for example, different transmission configuration types formed by a combination of one or more of the transmitting antenna information, receiving antenna information, time domain dimension information (such as period, time domain position), frequency domain dimension information (such as bandwidth, frequency domain density), RS configuration, measurement configuration and other information.

[0123] In some embodiments, the transmission configuration ID may be identified by K5 bits or K5 numbers, and serve as auxiliary information IDs of first data sets of different transmission configuration types.

[0124] Taking the environment information ID as an example, the environment information ID can be used to indicate different environment types, such as a densely built area environment, an ordinary built area environment, a small number of built areas environment, an unobstructed area environment, etc.

[0125] In some embodiments, the environment information ID may be identified by K6 bits or K6 numbers, and serve as auxiliary information IDs of first data sets of different environment information types.

[0126] Taking the node information ID as an example, the node information ID can be used to indicate different node identification information, such as the identification information of the terminal device, the identification information of the base station, the identification information of the core network element, etc.

[0127] In some embodiments, the node information ID may be identified by a K7 bit or a K7 number. In some embodiments, the node information IDs of different terminal devices, or base stations, or core network elements, or a combination of the above nodes may be used as auxiliary information IDs of the first data set.

[0128] By constructing the first auxiliary information in the form of an auxiliary information ID, the first auxiliary information can be labeled, thereby simplifying the complexity of the first auxiliary information identification.

[0129] The method embodiment of the present application is described in detail above in conjunction with Figures 1 to 9 . The device embodiment of the present application is described in detail below in conjunction with Figures 10 to 12 . It should be understood that the description of the method embodiment corresponds to the description of the device embodiment. Therefore, for parts not described in detail, reference can be made to the above method embodiment.

[0130] FIG10 is a schematic diagram of the structure of a communication device provided in an embodiment of the present application. The communication device 1000 shown in FIG10 is any of the first devices described above. The communication device 1000 shown in FIG10 may include an acquisition module 1010.

[0131] The acquisition module 1010 may be configured to acquire first auxiliary information, where the first auxiliary information is used to indicate features of the first data set.

[0132] Optionally, the characteristics of the first data set include one or more of the following: spatial characteristics of the first data set; characteristics of nodes associated with the first data set; type characteristics of the first data set; environmental characteristics of the first data set; transmission-related characteristics of the first data set; and temporal characteristics of the first data set.

[0133] Optionally, the first auxiliary information includes one or more of the following information: acquisition area / location information of the first data set; cell-related information of the first data set; beam-related information of the first data set; speed information of the node associated with the first data set; type information of the first data set; transmission configuration information of the first data set; acquisition environment information of the first data set; identity information of the node associated with the first data set; acquisition time information of the first data set; and configuration information of the node associated with the first data set.

[0134] Optionally, the communication device 1000 also includes: a determination module 1020, used to determine the area division method associated with the acquisition area of ​​the first data set; wherein the area division method is determined by one or more of the following methods: predefined by the protocol; indicated by the network device to the first device; and divided by the first device.

[0135] Optionally, the first auxiliary information is indicated by an auxiliary information identifier.

[0136] Optionally, the communication device further includes: a sending module, configured to send the first auxiliary information to the second device.

[0137] Optionally, the first device includes one or more of the following: a terminal device, a network device, and a third-party server; and / or the second device includes one or more of the following: a terminal device, a network device, and a third-party server.

[0138] Optionally, the first auxiliary information and the first data set are used to train a wireless communication model.

[0139] FIG11 is a schematic diagram of the structure of a communication device provided in another embodiment of the present application. The communication device 1100 shown in FIG11 is any of the second devices described above. The communication device 1100 shown in FIG11 may include a receiving module 1110.

[0140] The receiving module 1110 may be configured to receive first auxiliary information sent by a first device, where the first auxiliary information is used to indicate a feature of a first data set.

[0141] Optionally, the characteristics of the first data set include one or more of the following: spatial characteristics of the first data set; characteristics of nodes associated with the first data set; type characteristics of the first data set; environmental characteristics of the first data set; transmission-related characteristics of the first data set; and temporal characteristics of the first data set.

[0142] Optionally, the first auxiliary information includes one or more of the following information: acquisition area / location information of the first data set; cell-related information of the first data set; beam-related information of the first data set; speed information of the node associated with the first data set; type information of the first data set; transmission configuration information of the first data set; acquisition environment information of the first data set; identity information of the node associated with the first data set; acquisition time information of the first data set; and configuration information of the node associated with the first data set.

[0143] Optionally, the communication device 1100 also includes: a determination module 1120, used to determine the area division method associated with the acquisition area of ​​the first data set; wherein the area division method is determined by one or more of the following methods: predefined by the protocol; indicated by the network device to the second device; and indicated by the first device to the second device.

[0144] Optionally, the first auxiliary information is indicated by an auxiliary information identifier.

[0145] Optionally, the first device includes one or more of the following: a terminal device, a network device, and a third-party server; and / or the second device includes one or more of the following: a terminal device, a network device, and a third-party server.

[0146] Optionally, the first auxiliary information and the first data set are used to train a wireless communication model.

[0147] Figure 12 is a schematic block diagram of a communication device according to an embodiment of the present application. The dashed lines in Figure 12 indicate that the unit or module is optional. The device 1200 may be used to implement the method described in the above method embodiment. The device 1200 may be a chip, a terminal device, or a network device.

[0148] The device 1200 may include one or more processors 1210. The processor 1210 may support the device 1200 to implement the method described in the above method embodiment. The processor 1210 may be a general-purpose processor or a special-purpose processor. For example, the processor may be a central processing unit (CPU). Alternatively, the processor may be another general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0149] The apparatus 1200 may further include one or more memories 1220. The memories 1220 store programs that can be executed by the processor 1210, causing the processor 1210 to perform the methods described in the above method embodiments. The memories 1220 may be independent of the processor 1210 or integrated into the processor 1210.

[0150] The apparatus 1200 may further include a transceiver 1230. The processor 1210 may communicate with other devices or chips via the transceiver 1230. For example, the processor 1210 may transmit and receive data with other devices or chips via the transceiver 1230.

[0151] The present application also provides a computer-readable storage medium for storing a program. The computer-readable storage medium can be applied to a terminal or network device provided in the present application, and the program enables a computer to execute the method performed by the terminal or network device in each embodiment of the present application.

[0152] The present application also provides a computer program product. The computer program product includes a program. The computer program product can be applied to a terminal or network device provided in the present application, and the program causes a computer to execute the method performed by the terminal or network device in each embodiment of the present application.

[0153] The embodiments of the present application also provide a computer program. The computer program can be applied to the terminal or network device provided in the embodiments of the present application, and the computer program enables a computer to execute the method performed by the terminal or network device in each embodiment of the present application.

[0154] It should be understood that the terms "system" and "network" in this application can be used interchangeably. In addition, the terms used in this application are only used to explain the specific embodiments of this application and are not intended to limit this application. The terms "first", "second", "third", and "fourth" in the specification and claims of this application and the accompanying drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions.

[0155] In the embodiments of this application, the term "indication" may refer to a direct indication, an indirect indication, or an indication of an association. For example, "A indicates B" may refer to a direct indication of B, e.g., B can obtain information through A; it may refer to an indirect indication of B, e.g., A indicates C, e.g., B can obtain information through C; or it may refer to an association between A and B.

[0156] In the embodiment of the present application, "B corresponding to A" means that B is associated with A and B can be determined based on A. However, it should be understood that determining B based on A does not mean determining B based solely on A, but B can also be determined based on A and / or other information.

[0157] In the embodiments of the present application, the term "corresponding" may indicate a direct or indirect correspondence between the two, or an association relationship between the two, or a relationship between indication and indication, configuration and configuration, etc.

[0158] In the embodiments of the present application, "pre-definition" or "pre-configuration" may be implemented by pre-storing corresponding codes, tables, or other methods that can be used to indicate relevant information in a device (e.g., a terminal device and a network device). The present application does not limit the specific implementation method. For example, pre-definition may refer to information defined in a protocol.

[0159] In the embodiments of the present application, the “protocol” may refer to a standard protocol in the communications field, for example, it may include an LTE protocol, an NR protocol, and related protocols used in future communication systems, and the present application does not limit this.

[0160] In the embodiments of this application, the term "and / or" is simply a description of the association relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this document generally indicates that the related objects are in an "or" relationship.

[0161] In various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0162] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0163] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0164] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0165] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that can be read by a computer or a data storage device such as a server or data center that includes one or more available media integrated therein. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a digital versatile disc (DVD)), or a semiconductor medium (eg, a solid state disk (SSD)).

[0166] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A communication method, characterized in that: include: The first device obtains first auxiliary information, where the first auxiliary information is used to indicate a feature of a first data set.

2. The method according to claim 1, characterized in that The characteristics of the first data set include one or more of the following: spatial characteristics of the first data set; Features of nodes associated with the first data set; Type characteristics of the first data set; environmental characteristics of the first data set; transmission-related characteristics of the first data set; The temporal characteristics of the first data set.

3. The method according to claim 1 or 2, characterized in that The first auxiliary information includes one or more of the following information: Acquisition area / location information of the first data set; cell-related information of the first data set; beam-related information of the first data set; speed information of nodes associated with the first data set; type information of the first data set; transmission configuration information of the first data set; Collection environment information of the first data set; identity information of a node associated with the first data set; Acquisition time information of the first data set; and Configuration information of the node associated with the first data set.

4. The method according to claim 3, characterized in that The method further comprises: The first device determines a region division method associated with an acquisition region of the first data set; The area division method is determined by one or more of the following methods: predefined by a protocol; indicated by a network device to the first device; and divided by the first device.

5. The method according to any one of claims 1 to 4, characterized in that The first auxiliary information is indicated by an auxiliary information identifier.

6. The method according to any one of claims 1 to 5, characterized in that The method further comprises: The first device sends the first auxiliary information to the second device.

7. The method according to claim 6, characterized in that The first device includes one or more of the following: a terminal device, a network device, and a third-party server; and / or The second device includes one or more of the following: a terminal device, a network device, and a third-party server.

8. The method according to any one of claims 1 to 7, characterized in that The first auxiliary information and the first data set are used to train a wireless communication model.

9. A communication method, characterized in that: include The second device receives first auxiliary information sent by the first device, where the first auxiliary information is used to indicate a feature of the first data set.

10. The method according to claim 9, characterized in that The characteristics of the first data set include one or more of the following: spatial characteristics of the first data set; Features of nodes associated with the first data set; Type characteristics of the first data set; environmental characteristics of the first data set; transmission-related characteristics of the first data set; The temporal characteristics of the first data set.

11. The method according to claim 9 or 10, characterized in that The first auxiliary information includes one or more of the following information: Acquisition area / location information of the first data set; cell-related information of the first data set; beam-related information of the first data set; speed information of nodes associated with the first data set; type information of the first data set; transmission configuration information of the first data set; Collection environment information of the first data set; identity information of a node associated with the first data set; Acquisition time information of the first data set; and Configuration information of the node associated with the first data set.

12. The method according to claim 11, characterized in that The method further comprises: The second device determines a region division method associated with an acquisition region of the first data set; The area division method is determined by one or more of the following methods: predefined by a protocol; indicated by a network device to the second device; and indicated by the first device to the second device.

13. The method according to any one of claims 9 to 12, characterized in that The first auxiliary information is indicated by an auxiliary information identifier.

14. The method according to any one of claims 9 to 13, characterized in that The first device includes one or more of the following: a terminal device, a network device, and a third-party server; and / or The second device includes one or more of the following: a terminal device, a network device, and a third-party server.

15. The method according to any one of claims 9 to 14, characterized in that The first auxiliary information and the first data set are used to train a wireless communication model.

16. A communication device, characterized in that: The communication device is a first device, and the first device includes: The acquisition module is configured to acquire first auxiliary information, where the first auxiliary information is used to indicate features of the first data set.

17. The communication device according to claim 16, wherein: The characteristics of the first data set include one or more of the following: spatial characteristics of the first data set; Features of nodes associated with the first data set; Type characteristics of the first data set; environmental characteristics of the first data set; transmission-related characteristics of the first data set; The temporal characteristics of the first data set.

18. The communication device according to claim 16 or 17, characterized in that The first auxiliary information includes one or more of the following information: Acquisition area / location information of the first data set; cell-related information of the first data set; beam-related information of the first data set; speed information of nodes associated with the first data set; type information of the first data set; transmission configuration information of the first data set; Collection environment information of the first data set; identity information of a node associated with the first data set; Acquisition time information of the first data set; and Configuration information of the node associated with the first data set.

19. The communication device according to claim 18, wherein: The communication device further includes: a determination module, configured to determine a region division method associated with an acquisition region of the first data set; The area division method is determined by one or more of the following methods: predefined by a protocol; indicated by a network device to the first device; and divided by the first device.

20. The communication device according to any one of claims 16 to 19, characterized in that: The first auxiliary information is indicated by an auxiliary information identifier.

21. The communication device according to any one of claims 16 to 20, characterized in that: The communication device further includes: A sending module is configured to send the first auxiliary information to the second device.

22. The communication device according to claim 21, wherein: The first device includes one or more of the following: a terminal device, a network device, and a third-party server; and / or The second device includes one or more of the following: a terminal device, a network device, and a third-party server.

23. The communication device according to any one of claims 16 to 22, characterized in that: The first auxiliary information and the first data set are used to train a wireless communication model.

24. A communication device, characterized in that: The communication device is a second device, and the second device includes: The receiving module is configured to receive first auxiliary information sent by a first device, where the first auxiliary information is used to indicate a feature of a first data set.

25. The communication device according to claim 24, characterized in that The characteristics of the first data set include one or more of the following: spatial characteristics of the first data set; Features of nodes associated with the first data set; Type characteristics of the first data set; environmental characteristics of the first data set; transmission-related characteristics of the first data set; The temporal characteristics of the first data set.

26. The communication device according to claim 24 or 25, characterized in that The first auxiliary information includes one or more of the following information: Acquisition area / location information of the first data set; cell-related information of the first data set; beam-related information of the first data set; speed information of nodes associated with the first data set; type information of the first data set; transmission configuration information of the first data set; Collection environment information of the first data set; identity information of a node associated with the first data set; Acquisition time information of the first data set; and Configuration information of the node associated with the first data set.

27. The communication device according to claim 26, characterized in that The communication device further includes: a determination module, configured to determine a region division method associated with an acquisition region of the first data set; The area division method is determined by one or more of the following methods: predefined by a protocol; indicated by a network device to the second device; and indicated by the first device to the second device.

28. The communication device according to any one of claims 24 to 27, characterized in that: The first auxiliary information is indicated by an auxiliary information identifier.

29. The communication device according to any one of claims 24 to 28, characterized in that The first device includes one or more of the following: a terminal device, a network device, and a third-party server; and / or The second device includes one or more of the following: a terminal device, a network device, and a third-party server.

30. The communication device according to any one of claims 24 to 29, characterized in that: The first auxiliary information and the first data set are used to train a wireless communication model.

31. A communication device, characterized in that: The communication device comprises a memory, a processor and a transceiver, wherein the memory is used to store a program, the processor is used to call the program in the memory and control the transceiver to receive or send a signal, so that the communication device executes the method as described in any one of claims 1-8, or 9-15.

32. A device, characterized in that The device comprises a processor configured to call a program from a memory so as to cause the device to execute the method according to any one of claims 1 to 8 or 9 to 15.

33. A chip, characterized in that: The device comprises a processor configured to call a program from a memory so that a device equipped with the chip executes the method according to any one of claims 1 to 8 or 9 to 15.

34. A computer-readable storage medium, characterized in that A program is stored thereon, and the program enables a computer to execute the method according to any one of claims 1 to 8 or 9 to 15.

35. A computer program product, characterized in that The method comprises a program for causing a computer to execute the method according to any one of claims 1 to 8 or 9 to 15.

36. A computer program, characterized in that The computer program enables a computer to execute the method according to any one of claims 1 to 8 or 9 to 15.

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