Information transmission method, terminal device and network device

Abstract

The present application relates to an information transmission method, a terminal device, a network device, a chip, a computer-readable storage medium, a computer program product, a computer program and a communication system. The information transmission method comprises: a terminal device sending first reporting information to a network device, wherein the first reporting information comprises CSI feedback information, and the first reporting information is used by the network device to determine whether the CSI feedback information is used for monitoring a first CSI feedback model. By means of the embodiments of the present application, resource overheads for the reporting of model monitoring data can be reduced.

Description

Information transmission method, terminal device and network device Technical Field

[0001] The present application relates to the field of communications, and more specifically, to an information transmission method, a terminal device and a network device, a chip, a computer-readable storage medium, a computer program product, a computer program, and a communication system. Background Art

[0002] To reduce CSI (Channel State Information) feedback overhead and preserve channel information to a greater extent, related technologies have proposed using AI (Artificial Intelligence)-based models to provide compressed CSI feedback. The performance of the model needs to be monitored to ensure it performs well over time. To this end, it is necessary to collect raw CSI data to monitor the model. However, raw CSI data is very large, and consideration needs to be given to controlling air interface resource overhead.

[0003] Summary of the Invention

[0004] Embodiments of the present application provide an information transmission method, a terminal device and a network device, a chip, a computer-readable storage medium, a computer program product, a computer program, and a communication system, which can reduce the air interface resource overhead caused by monitoring the CSI feedback model.

[0005] The present invention provides an information transmission method, including:

[0006] The terminal device sends first reporting information to the network device; wherein the first reporting information includes CSI feedback information, and the first reporting information is used by the network device to determine whether the CSI feedback information is used to monitor the first CSI feedback model.

[0007] The present invention provides an information transmission method, including:

[0008] The network device receives first reporting information from the terminal device; wherein the first reporting information includes CSI feedback information;

[0009] The network device determines, based on the first reporting information, whether to use the CSI feedback information for monitoring the first CSI feedback model.

[0010] An embodiment of the present application provides a terminal device, including:

[0011] The first communication module is configured to send first reporting information to the network device; wherein the first reporting information includes CSI feedback information, and the first reporting information is used by the network device to determine whether the CSI feedback information is used to monitor the first CSI feedback model.

[0012] An embodiment of the present application provides a network device, including:

[0013] A second communication module is configured to receive first reporting information from a terminal device; wherein the first reporting information includes CSI feedback information;

[0014] The second processing module is configured to determine, based on the first reporting information, whether to use the CSI feedback information to monitor the first CSI feedback model.

[0015] An embodiment of the present application provides a terminal device, comprising: a transceiver, a processor, and a memory. The memory is used to store a computer program, the transceiver is used to communicate with other devices, and the processor is used to call and execute the computer program stored in the memory, so that the terminal device executes the above-mentioned information transmission method.

[0016] An embodiment of the present application provides a network device, comprising: a transceiver, a processor, and a memory. The memory is used to store a computer program, the transceiver is used to communicate with other devices, and the processor is used to call and execute the computer program stored in the memory, so that the network device executes the above-mentioned information transmission method.

[0017] An embodiment of the present application provides a chip for implementing the above-mentioned information transmission method.

[0018] Specifically, the chip includes: a processor for calling and running a computer program from a memory, so that a device equipped with the chip executes the above-mentioned information transmission method.

[0019] An embodiment of the present application provides a computer-readable storage medium for storing a computer program. When the computer program is executed by a device, the device executes the above-mentioned information transmission method.

[0020] An embodiment of the present application provides a computer program product, including computer program instructions, which enable a computer to execute the above-mentioned information transmission method.

[0021] An embodiment of the present application provides a computer program, which, when executed on a computer, enables the computer to execute the above-mentioned information transmission method.

[0022] An embodiment of the present application provides a communication system, including a terminal device and a network device for executing the above-mentioned information transmission method.

[0023] In an embodiment of the present application, a terminal device sends first reporting information carrying CSI feedback information to a network device. The network device can determine, based on the first reporting information, whether the CSI feedback information is used for monitoring by a first CSI feedback model. By adding this function to the first reporting information, it is possible to distinguish between regular reporting of CSI feedback information and reporting of model monitoring data. This allows the reporting of model monitoring data to reuse the regular reporting process for CSI feedback information, eliminating the need for adding a separate process for transmitting model monitoring data. This reduces the resource overhead of reporting model monitoring data. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] FIG1 is a schematic diagram of a communication system in an embodiment of the present application.

[0025] FIG2 is a schematic diagram of a neural network in an embodiment of the present application.

[0026] FIG3 is a schematic diagram of an AI-based CSI feedback system in an embodiment of the present application.

[0027] FIG4 is a schematic flowchart of an information transmission method according to an embodiment of the present application.

[0028] FIG5 is a schematic flowchart of an information transmission method according to another embodiment of the present application.

[0029] FIG6 is a schematic diagram of visualization results of multiple CSI data in a real system.

[0030] FIG7 is a schematic diagram showing a comparison of CSI feedback accuracy when different numbers of bits are used in CSI feedback information.

[0031] FIG8 is a schematic diagram of the structure of the first reporting information in an embodiment of the present application.

[0032] FIG9 is a schematic diagram of the information transmission method in Application Example 1 of the present application.

[0033] FIG10 is a schematic diagram of the information transmission method in the second application example of the present application.

[0034] FIG11 is a schematic diagram of the information transmission method in the third application example of the present application.

[0035] FIG12 is a schematic block diagram of a terminal device according to an embodiment of the present application.

[0036] FIG13 is a schematic block diagram of a terminal device according to another embodiment of the present application.

[0037] FIG14 is a schematic block diagram of a network device according to an embodiment of the present application.

[0038] FIG15 is a schematic block diagram of a communication device according to an embodiment of the present application.

[0039] FIG16 is a schematic block diagram of a chip according to an embodiment of the present application.

[0040] FIG17 is a schematic block diagram of a communication system according to an embodiment of the present application. DETAILED DESCRIPTION

[0041] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.

[0042] The technical solutions of the embodiments of the present application can be applied to various communication systems, such as: Long Term Evolution (LTE) system, Advanced Long Term Evolution (LTE-A) system, New Radio (NR) system, NR system evolution system, LTE on unlicensed spectrum (LTE-U) system, NR on unlicensed spectrum (NR-based access to unlicensed spectrum, NR-U) system, Non-Terrestrial Networks (NTN) system, Universal Mobile Telecommunication System (UMTS), Wireless Local Area Networks (WLAN), Wireless Fidelity (WiFi), Fifth Generation Communication (5G) system, Sixth Generation Communication (6G) system or other communication systems.

[0043] Generally speaking, traditional communication systems support a limited number of connections and are easy to implement. However, with the development of communication technology, mobile communication systems will not only support traditional communications, but will also support, for example, device-to-device (D2D) communication, machine-to-machine (M2M) communication, machine-type communication (MTC), vehicle-to-vehicle (V2V) communication, or vehicle-to-everything (V2X) communication, etc. The embodiments of the present application can also be applied to these communication systems.

[0044] In one embodiment, the communication system in the embodiment of the present application can be applied to a carrier aggregation (CA) scenario, a dual connectivity (DC) scenario, and a standalone (SA) networking scenario.

[0045] In one embodiment, the communication system in the embodiment of the present application can be applied to an unlicensed spectrum, wherein the unlicensed spectrum can also be considered as a shared spectrum; or, the communication system in the embodiment of the present application can also be applied to an authorized spectrum, wherein the authorized spectrum can also be considered as an unshared spectrum.

[0046] The embodiments of the present application describe various embodiments in conjunction with network devices and terminal devices, wherein the terminal device may also be referred to as user equipment (UE), access terminal, user unit, user station, mobile station, mobile station, remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent or user device, etc.

[0047] The terminal device can be a station (STAION, ST) in a WLAN, a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA) device, a handheld device with wireless communication capabilities, a computing device or other processing device connected to a wireless modem, a vehicle-mounted device, a wearable device, a terminal device in a next-generation communication system such as an NR network, or a terminal device in a future evolved Public Land Mobile Network (PLMN) network, etc.

[0048] In an embodiment of the present application, the terminal device can be deployed on land, including indoors or outdoors, handheld, wearable or vehicle-mounted; it can also be deployed on the water surface (such as ships, etc.); it can also be deployed in the air (such as airplanes, balloons and satellites, etc.).

[0049] In an embodiment of the present application, the terminal device may be a mobile phone, a tablet computer, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, or a wireless terminal device in a smart home, etc.

[0050] As an example and not a limitation, in the embodiment of the present application, the terminal device may also be a wearable device. Wearable devices may also be called wearable smart devices, which are a general term for wearable devices that are intelligently designed and developed using wearable technology for daily wear, such as glasses, gloves, watches, clothing, and shoes. A wearable device is a portable device that is worn directly on the body or integrated into the user's clothes or accessories. Wearable devices are not only hardware devices, but also achieve powerful functions through software support, data interaction, and cloud interaction. Broadly speaking, wearable smart devices include those that are fully functional, large in size, and can achieve complete or partial functions without relying on smartphones, such as smart watches or smart glasses, as well as those that only focus on a certain type of application function and need to be used in conjunction with other devices such as smartphones, such as various smart bracelets and smart jewelry for vital sign monitoring.

[0051] In an embodiment of the present application, the network device may be a device for communicating with a mobile device. The network device may be an access point (AP) in a WLAN, an evolved base station (eNB or eNodeB) in LTE, or a relay station or access point, or a vehicle-mounted device, a wearable device, and a network device (gNB) in an NR network, or a network device in a future evolved PLMN network or a network device in an NTN network, etc.

[0052] As an example and not a limitation, in an embodiment of the present application, the network device may have a mobile feature, for example, the network device may be a mobile device. Alternatively, the network device may be a satellite or a balloon station. For example, the satellite may be a low earth orbit (LEO) satellite, a medium earth orbit (MEO) satellite, a geostationary earth orbit (GEO) satellite, a high elliptical orbit (HEO) satellite, etc. Optionally, the network device may also be a base station set up in a location such as land or water.

[0053] In an embodiment of the present application, the network device can provide services for a cell, and the terminal device communicates with the network device through the transmission resources used by the cell (for example, frequency domain resources, or spectrum resources). The cell can be a cell corresponding to the network device (for example, a base station). The cell can belong to a macro base station or a base station corresponding to a small cell. The small cells here may include: metro cells, micro cells, pico cells, femto cells, etc. These small cells have the characteristics of small coverage and low transmission power, and are suitable for providing high-speed data transmission services.

[0054] FIG1 exemplarily illustrates a communication system 100. The communication system includes a network device 110 and two terminal devices 120. In one embodiment, the communication system 100 may include multiple network devices 110, and each network device 110 may include a different number of terminal devices 120 within its coverage area, which is not limited in this embodiment of the present application.

[0055] In one embodiment, the communication system 100 may further include other network entities such as a Mobility Management Entity (MME) and an Access and Mobility Management Function (AMF), which is not limited in this embodiment of the present application.

[0056] Among them, the network equipment may include access network equipment and core network equipment. That is, the wireless communication system also includes multiple core networks for communicating with the access network equipment. The access network equipment can be an evolutionary base station (evolutional node B, abbreviated as eNB or e-NodeB) macro base station, micro base station (also called "small base station"), pico base station, access point (AP), transmission point (TP) or new generation base station (new generation Node B, gNodeB), etc. in a long-term evolution (LTE) system, a next-generation (mobile communication system) (next radio, NR) system or an authorized auxiliary access long-term evolution (LAA-LTE) system.

[0057] It should be understood that in the embodiments of the present application, a device having a communication function in a network / system may be referred to as a communication device. Taking the communication system shown in Figure 1 as an example, the communication device may include a network device and a terminal device having a communication function. The network device and the terminal device may be specific devices in the embodiments of the present application and will not be described in detail here. The communication device may also include other devices in the communication system, such as a network controller, a mobility management entity, and other network entities, which are not limited in the embodiments of the present application.

[0058] It should be understood that the terms "system" and "network" are often used interchangeably herein. The term "and / or" is simply a description of an association between related objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " generally indicates that the related objects are in an "or" relationship.

[0059] It should be understood that the "indication" mentioned in the embodiments of this application can be a direct indication, an indirect indication, or an indication of an association. For example, "A indicates B" can mean that A directly indicates B, for example, B can be obtained through A; it can also mean that A indirectly indicates B, for example, A indicates C, and B can be obtained through C; it can also mean that there is an association between A and B.

[0060] In the description of 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 being indicated, configuration and being configured, etc.

[0061] To facilitate understanding of the technical solutions of the embodiments of the present application, the relevant technologies of the embodiments of the present application are described below. The following relevant technologies can be arbitrarily combined with the technical solutions of the embodiments of the present application as optional solutions, and they all fall within the protection scope of the embodiments of the present application.

[0062] 1. Artificial Intelligence

[0063] In recent years, artificial intelligence (AI) research, exemplified by neural networks, has achieved remarkable success in many fields and will continue to play a vital role in people's lives and production for a long time to come. In particular, machine learning (ML), a key research area in AI, leverages the nonlinear processing capabilities of neural networks (NNs) to successfully solve a range of previously intractable problems. It has even demonstrated superior performance to humans in areas such as image recognition, speech processing, natural language processing, and gaming, and has therefore garnered increasing attention.

[0064] A common training model in AI is the artificial neural network. AI networks create models based on training data, typically to generate more accurate predictions. Figure 2 is a schematic diagram of a neural network. As shown in Figure 2, neural networks generally use a multi-layer design (optionally, including an input layer, hidden layers, and an output layer). This layer-by-layer training of the neural network allows for feature learning, significantly improving the learning and processing capabilities of the neural network. This has led to widespread applications in pattern recognition, signal processing, optimization and combination, and anomaly detection.

[0065] Existing research has shown that AI can model and learn in complex and unknown environments, and has important application potential in many areas such as channel prediction, intelligent signal generation and processing, network status tracking and intelligent scheduling, and network optimization and deployment. It is expected to promote the evolution of future communication paradigms and changes in network architecture, and is of great significance and value to 6G technology research.

[0066] 2. AI / ML Lifecycle

[0067] The AI / ML lifecycle typically includes:

[0068] Identify business goals: The process typically begins by identifying the business goals for implementing the machine learning model.

[0069] Data collection and exploration: Guided by established business goals, relevant data is collected for AI / ML tasks. Exploratory data analysis and data visualization are then performed to understand what the available data provides and what processes are needed to prepare the data before model training.

[0070] Data processing and feature engineering: Transforming raw data to better meet business objectives and prepare it for modeling. This phase includes data cleaning, splitting the data into training, validation, and test sets, and feature engineering. Feature engineering is the process of transforming data to better represent the business objectives. Automated machine learning (AutoML) tools can automate feature engineering. Other data preparation processes include removing outliers, handling missing values, masking sensitive data, and data labeling.

[0071] Model training: AI / ML models are trained on prepared training data. The training process is iterative. Different models and training datasets can be tested, an appropriate model is selected, and its hyperparameters are fine-tuned to achieve optimal performance. Hyperparameters are model parameters that influence the learning process (such as the size of a neural network) and are not inferred from the data.

[0072] Model testing and validation: The model is checked against different evaluation metrics, such as accuracy, to ensure that its predictive performance is sufficient for the use case. Other potential issues with model performance, such as excessive resource requirements and insufficient performance, are addressed before deployment. With excessive resource requirements, the model may consume a large amount of memory or require long processing times. The cost of deploying the model may outweigh its benefits to the business. With insufficient performance, the model may not accurately identify the accuracy of its own predictions. If false positives are costly to the process, this may require manual review of all predictions; the model may not have high accuracy and therefore provide limited benefits.

[0073] Model deployment: Deploy the selected and fine-tuned model to make predictions. Deployment types can include:

[0074] Online deployment: The model is deployed through the API, responding to requests and providing prediction services in real time.

[0075] Batch deployment: Integrate the model into a batch prediction system.

[0076] Embedded models: Models are embedded in edge or mobile devices.

[0077] Model Monitoring: After deployment, the model's performance is monitored to ensure it performs well over time. For example, an AI / ML model deployed a week ago may not accurately complete a task if it is not continuously improved. New iterations of the model development process can be initiated for models trained at specific intervals.

[0078] (3) AI-based CSI feedback in NR systems

[0079] Given the tremendous success of AI technology, especially deep learning, in computer vision and natural language processing, the communications field has begun to explore the use of deep learning to solve technical challenges that are difficult to address with traditional communications methods, such as deep learning. The neural network architecture commonly used in deep learning is nonlinear and data-driven. It can extract features from actual channel matrix data and restore the channel matrix information compressed and fed back by the UE as much as possible on the base station side. This ensures the restoration of channel information while also providing the possibility of reducing CSI feedback overhead. Deep learning-based CSI feedback treats channel information as an image to be compressed, uses a deep learning autoencoder to compress and feed back the channel information, and reconstructs the compressed channel image at the transmitter, which can preserve the channel information to a greater extent.

[0080] Figure 3 shows a typical CSI feedback system. The entire feedback system is an autoencoder structure, consisting of an encoder and a decoder, deployed at the transmitter and receiver, respectively. After obtaining channel information through channel estimation, the transmitter compresses and encodes the channel information matrix using the encoder's neural network. The compressed bitstream is then fed back to the receiver via an air interface feedback link. The receiver uses the decoder to recover the channel information based on the feedback bitstream to obtain complete feedback channel information. The network model structures within the encoder and decoder shown in Figure 3 are flexible and can be designed.

[0081] To ensure the performance of CSI feedback, model monitoring is necessary, and model monitoring data must be collected. An obvious approach to collecting model monitoring data is to periodically report the environment's raw CSI data to the model monitoring device. This data collection process requires independent cross-device data transmission within existing business processes. However, raw CSI data has large dimensions and is transmitted over the air interface from the data-generating device to the device performing model monitoring. This data transmission consumes significant air interface resources. Model monitoring with a finer temporal granularity requires even greater resource overhead, which is almost unacceptable. Large-scale model monitoring cannot provide timely and effective warnings of the adverse effects of data drift.

[0082] The technical solutions of the embodiments of this application are mainly intended to solve the above-mentioned technical problems.

[0083] FIG4 is a schematic flow chart of an information transmission method according to an embodiment of the present application. The method can optionally be applied to the system shown in FIG1 , but is not limited thereto. The method includes at least part of the following contents.

[0084] S410. The terminal device sends first reporting information to the network device; wherein the first reporting information includes CSI feedback information, and the first reporting information is used by the network device to determine whether the CSI feedback information is used to monitor the first CSI feedback model.

[0085] In the embodiment of the present application, CSI feedback information is used by the network device to determine the CSI reported by the terminal device, so that the network device can reasonably configure the data transmission method and / or perform model monitoring. Optionally, the CSI feedback information may include the CSI itself or compressed data obtained by the terminal device compressing the CSI.

[0086] In an embodiment of the present application, the first CSI feedback model may be used to encode and decode CSI to implement compressed feedback of CSI.

[0087] Exemplarily, the first CSI feedback model may be an autoencoder model, such as an AI-based autoencoder model. The autoencoder model includes an encoder and a decoder. The encoder is deployed on the terminal device to encode the first CSI (original CSI) obtained based on the channel estimation to obtain first coding information, so as to send the first coding information as CSI feedback information to the network device through the first reporting information. The decoder is deployed on the network device to decode the first coding information to obtain the second CSI (reconstructed CSI), and configure the data transmission mode based on the second CSI. Optionally, the first CSI feedback model can be used for conventional reporting of CSI.

[0088] In the embodiment of the present application, CSI feedback information may be used to monitor the first CSI feedback model or may not be used to monitor the first CSI feedback model. That is, the CSI feedback information may be information routinely reported by the CSI and used by the network device to configure the data transmission mode, for example, the CSI feedback information includes the above-mentioned first coding information. The CSI feedback information may also be information used to monitor the first CSI feedback model, for example, the CSI itself or compressed data obtained by compressing the CSI using other methods.

[0089] Optionally, when the CSI feedback information is used to monitor the first CSI feedback model, the CSI feedback information can also be used by the network device to determine the CSI required to configure the data transmission mode. That is, when the CSI feedback information is used to monitor the first CSI feedback model, the transmission of the first reporting information can also be regarded as a CSI report.

[0090] Optionally, in the case where the CSI feedback information is used to monitor the first CSI feedback model, the CSI feedback information may not be used by the network device to determine the CSI required for configuring the data transmission mode.

[0091] In the embodiment of the present application, the first reporting information is not only used to carry CSI feedback information, but also used to indicate whether the CSI feedback information is used to monitor the first CSI feedback model. The first reporting information may explicitly indicate whether the CSI feedback model is used for the above-mentioned monitoring (for example, by including explicit indication information in the first reporting information), or may implicitly indicate whether the CSI feedback model is used for the above-mentioned monitoring (for example, by indicating relevant parameters such as the frequency domain position and time domain position of the first reporting information).

[0092] According to the above method, the terminal device sends first reporting information carrying CSI feedback information to the network device. The network device can determine whether the CSI feedback information is used for monitoring of the first CSI feedback model based on the first reporting information. By adding this function to the first reporting information, it is possible to distinguish between regular reporting of CSI feedback information and reporting of model monitoring data. This allows the reporting of model monitoring data to reuse the regular reporting process of CSI feedback information, eliminating the need for adding a separate process for transmitting model monitoring data. This reduces the resource overhead of reporting model monitoring data.

[0093] FIG5 is a schematic flow chart of an information transmission method according to another embodiment of the present application. The method can optionally be applied to the system shown in FIG1 , but is not limited thereto. The method includes:

[0094] S510. The network device receives first reporting information from the terminal device; wherein the first reporting information includes CSI feedback information.

[0095] S520: The network device determines, based on the first reporting information, whether to use the CSI feedback information to monitor the first CSI feedback model.

[0096] The specific details of the information transmission method of this embodiment can be found in the relevant descriptions in the aforementioned embodiments. For the sake of brevity, they will not be repeated here.

[0097] In some embodiments, when the CSI feedback information is not used to monitor the first CSI feedback model, the CSI feedback information includes first encoding information; wherein, the first encoding information is obtained by the terminal device encoding the first CSI based on the encoder in the first CSI feedback model, and the first encoding information is used by the network device to decode based on the decoder in the first CSI feedback model to obtain the second CSI.

[0098] That is, in some embodiments, the above information transmission method may further include:

[0099] When the CSI feedback information is not used to monitor the first CSI feedback model, the network device decodes the first encoded information in the CSI feedback information based on the decoder in the first CSI feedback model to obtain the second CSI; wherein the first encoded information is obtained by the terminal device encoding the first CSI based on the encoder in the first CSI feedback model.

[0100] For example, the first CSI is the CSI determined by the terminal device based on channel estimation, that is, the CSI obtained based on measurement of the reference signal. The second CSI is the CSI recovered by decoding of the network device, and the network device can determine the data transmission mode based on the second CSI.

[0101] Optionally, when the CSI feedback information is not used to monitor the first CSI feedback model, the CSI feedback information includes other information in addition to the first coded information. That is, the CSI feedback information includes other information that is not obtained based on the first CSI feedback model. In this way, information obtained by different processing methods can be used to evaluate the processing effect of the first CSI feedback model, thereby achieving model monitoring.

[0102] For example, every 10 first reporting information sent by the terminal device includes 9 first reporting information for regular reporting and 1 first reporting information for model monitoring data reporting. Then, in the 9 first reporting information for regular reporting, the CSI feedback information in each first reporting information is obtained by encoding the first CSI in the encoder in the first CSI feedback model. The CSI feedback information in the 1 first reporting information for model monitoring data reporting can be other forms of CSI-related information.

[0103] In some embodiments, when the CSI feedback information is used to monitor the first CSI feedback model, the CSI feedback information includes the first CSI or compressed data of the first CSI.

[0104] That is, in some embodiments, the above information transmission method may further include:

[0105] In a case where the CSI feedback information is used to monitor the first CSI feedback model, the network device monitors the first CSI feedback model according to the first CSI or compressed data of the first CSI in the CSI feedback information.

[0106] In one embodiment, in the first reporting information used for model monitoring data reporting, the CSI feedback information may be the original CSI. This ensures the accuracy of the data used for model monitoring and improves the accuracy of monitoring evaluation.

[0107] In another embodiment, in the first reporting information used for model monitoring data reporting, the CSI feedback information may also be compressed data of the first CSI. This compressed data is different from the first coded information, i.e., the compressed data may be obtained through other processing methods. Using the compressed data obtained through other processing methods can also, to a certain extent, measure the accuracy of the processing results of the first CSI feedback model, implement model monitoring, and reduce resource overhead when reporting model monitoring data.

[0108] In some embodiments, the number of bits in the compressed data of the first CSI is greater than the number of bits in the first encoded information obtained by encoding the first CSI based on an encoder in the first CSI feedback model.

[0109] In other words, the number of bits in the CSI compressed data used for model monitoring data reporting is greater than the number of bits in the output information of the encoder in the first CSI feedback model. This allows the accuracy of the model monitoring data to be greater than the accuracy of the processed information of the first CSI feedback model, allowing the model monitoring data to be used to accurately evaluate the processing effect of the first CSI feedback model.

[0110] It can be understood that when the accuracy of the model monitoring data is greater than the accuracy of the processing information of the first CSI feedback model, if the model monitoring data is also used as a CSI report, the CSI feedback accuracy can be enhanced to a certain extent.

[0111] In some embodiments, the compressed data of the first CSI includes second encoding information obtained by the terminal device encoding the first CSI based on an encoder in the second CSI feedback model. That is, the CSI compressed data used for model monitoring data reporting can also be obtained using the CSI feedback model.

[0112] Optionally, the second CSI feedback model may also be an autoencoder model, including an encoder and a decoder. The encoder is deployed on the terminal device to encode the first CSI to obtain second coded information, and the second coded information is used as CSI feedback information for model monitoring and sent to the network device via the first reporting information. The decoder can be deployed on the network device to decode the second coded information to obtain third CSI, and regard the third CSI as the first CSI (that is, as the original, accurate CSI, but there may be errors in actual application), and evaluate and monitor the first CSI feedback model based on the third CSI.

[0113] Optionally, the accuracy of the second CSI feedback model is greater than the accuracy of the first CSI feedback model, for example, the number of bits in the second encoded information output by the encoder in the second CSI feedback model is greater than the number of bits in the first encoded information output by the encoder in the first CSI feedback model.

[0114] In some embodiments, the network device monitors the first CSI feedback model according to the first CSI or compressed data of the first CSI in the CSI feedback information, including:

[0115] The network device decodes the second coded information in the CSI feedback information based on the decoder in the second CSI feedback model to obtain third CSI;

[0116] The network device processes the third CSI based on the first CSI feedback model to obtain fourth CSI;

[0117] The network device monitors the first CSI feedback model based on the third CSI and the fourth CSI.

[0118] In some embodiments, the network device may monitor the first CSI feedback model based on the similarity or difference between the third CSI and the fourth CSI. Exemplarily, a first indicator used to characterize the similarity or difference between the third CSI and the fourth CSI is used as a performance monitoring indicator of the first CSI feedback model. For example, the first indicator may include one or more indicators used to characterize the difference, such as the number of error bits in the fourth CSI determined based on the third CSI, the proportion of error bits, the mean square error between the third CSI and the fourth CSI, the normalized mean square error, the Euclidean distance, and the Hamming distance. Alternatively, the first indicator may include the cosine similarity between the third CSI and the fourth CSI or other indicators used to characterize the similarity.

[0119] According to the above embodiment, the network device can monitor the first CSI feedback model based on the processed information of the second CSI feedback model. To facilitate understanding of the technical effects, the characteristics of CSI information are first described below with reference to the accompanying figures. Figure 6 is a schematic diagram of the visualization of multiple CSI data in a real system. As shown in Figure 6, under the combined influence of complex wireless environments and system factors, CSI samples exhibit rich diversity, such as samples (a)-(d) in Figure 6. Different samples carry different amounts of information. Some samples have high inter-subband correlation, making them easier to compress and achieving high decoding accuracy. Conversely, some samples are more complex, carrying more information and, with the same feedback overhead, resulting in relatively poor recovery accuracy. Regardless of whether they appear more complex or simpler, CSI data itself has significant redundancy. Figure 7 is a schematic diagram comparing CSI feedback accuracy when different numbers of bits are used in CSI feedback information. As shown in Figure 7, for both autoencoding model 1 and autoencoding model 2, as the number of bits in the CSI feedback information increases, feedback accuracy reaches a very high level. This data demonstrates that CSI has a certain degree of redundancy. Based on this, in the embodiment of the present application, a second CSI feedback model is used to process the original first CSI, and the processing result of the encoder in the second CSI feedback model is used as the CSI feedback information in the air interface transmission. The third CSI decoded by the decoder in the second CSI feedback model is then used to monitor the first CSI feedback model. The redundant characteristics of CSI can be fully utilized to ensure a certain degree of compression of the CSI model monitoring data while ensuring high-precision feedback (the CSI feedback problem itself is a lossy compression problem, and high-precision feedback will not affect the credibility of the model monitoring), thereby further reducing the transmission overhead brought by model monitoring.

[0120] In some embodiments, the above information transmission method may further include:

[0121] The terminal device decodes the second coded information based on the decoder in the second CSI feedback model to obtain third CSI;

[0122] The terminal device processes the third CSI based on the first CSI feedback model to obtain fourth CSI;

[0123] The terminal device monitors the first CSI feedback model based on the third CSI and the fourth CSI.

[0124] As can be seen, in the above embodiment, the terminal device transmits the second coded information to the network device, so that the network device uses the second coded information to monitor the first CSI feedback model. On this basis, the terminal device also uses the second coded information to monitor the first CSI feedback model. In this way, the terminal device and the network device process based on consistent model monitoring data, ensuring that the terminal device and the network device have consistent evaluation and monitoring results for the first CSI feedback model, without the need for the network device to transmit the evaluation and monitoring results to the terminal device, thereby further reducing transmission resource overhead in the system.

[0125] In some embodiments, the first reporting information includes type indication information, where the type indication information is used to indicate whether the CSI feedback information is used to monitor the first CSI feedback model.

[0126] Figure 8 shows a schematic diagram of the structure of the first reporting information in the above embodiment. As shown in Figure 8, the reporting structure of the first reporting information adds type indication information compared to the original CSI reporting structure. In the above embodiment, the first reporting information explicitly indicates whether the CSI feedback information is used for model monitoring by carrying the type indication information. In this way, the CSI reporting process can be reused to report model monitoring data.

[0127] In some embodiments, the relevant parameters of the first reported information are used by the network device to determine whether the CSI feedback information is used to monitor the first CSI feedback model. That is, the relevant parameters of the first reported information implicitly indicate whether the CSI feedback information is used for model monitoring. For example, the parameters used when reporting model monitoring data are predetermined through protocol agreement, system agreement, or network configuration. When the terminal device reports CSI feedback information used to monitor the model, it sends the first reported information based on the parameters. In this way, the network device can determine whether the CSI feedback information in the received first reported information is used for model monitoring based on the relevant parameters of the first reported information.

[0128] In some embodiments, the relevant parameters of the first reporting information include the sending time of the first reporting information.

[0129] It should be noted that the aforementioned explicit and implicit indication methods may also be used in combination. Specifically, the first reporting information may or may not include type indication information. When the first reporting information includes type indication information, the network device determines whether the CSI feedback information is used to monitor the first CSI feedback model based on the type indication information. When the first reporting information does not include type indication information, the network device may determine whether the CSI feedback information is used to monitor the first CSI feedback model based on relevant parameters of the first reporting information.

[0130] Exemplarily, the terminal device and the network device pre-agree on a reporting period for model monitoring data. The first reporting information for reporting model monitoring data sent by the terminal device for the first time after the agreed reporting period includes type indication information, so that the network device uses the CSI feedback information in the first reporting information for model monitoring. The network device can determine the sending time of the first reporting information for subsequent model monitoring data reporting based on the pre-agreed period and the sending time of the first reporting information. In this way, when the network device subsequently receives the first reporting information, it can determine whether the CSI feedback information in the first reporting information is used for model monitoring based on the sending time, without carrying type indication information in the first reporting information.

[0131] In some embodiments, the mechanism by which the first reporting information carries CSI feedback information for model monitoring can be configured or triggered by the network device. Specifically, before the network device receives the first reporting information from the terminal device, the above-mentioned information transmission method further includes: the network device sending configuration information to the terminal device; wherein the configuration information is used to instruct the terminal device to send CSI feedback information for monitoring the first CSI feedback model.

[0132] Accordingly, in some embodiments, before the terminal device sends the first reporting information to the network device, the information transmission method also includes: the terminal device receives configuration information from the network device; wherein the configuration information is used to instruct the terminal device to send CSI feedback information for monitoring the first CSI feedback model.

[0133] Exemplarily, the configuration information may be referred to as data collection configuration information (DCCI).

[0134] According to the above embodiment, the network device can configure or trigger the terminal device to send CSI feedback information for monitoring the first CSI feedback model by sending configuration information, thereby supporting the model monitoring data reporting using a variety of different configurations and improving the flexibility of model monitoring data reporting.

[0135] In some embodiments, the configuration information is used to indicate one or more of the following information:

[0136] The time when CSI feedback information is sent;

[0137] The number of bits in the CSI feedback information;

[0138] The identifier ID of the second CSI feedback model used to obtain CSI feedback information.

[0139] In one embodiment, the configuration information may be used to indicate the sending time of CSI feedback information used to monitor the first CSI feedback model. For example, the configuration information may include the sending period of the CSI feedback information, so that different model monitoring data reporting periods can be configured according to the frequency requirements of model monitoring. Alternatively, the configuration information may also include the time interval between the sending time of the CSI feedback information and the configuration information. The time interval may be in any time unit such as seconds or milliseconds, that is, any configuration regarding the sampling timing of the monitoring data can be used, thereby improving the flexibility of model monitoring.

[0140] In another embodiment, the configuration information may be used to indicate the number of bits in the CSI feedback information. In this way, different numbers of bits may be configured according to the accuracy requirements of different model monitoring.

[0141] In another embodiment, the configuration information may be used to indicate the ID of the second CSI feedback model. Specifically, multiple CSI feedback models may be deployed in the terminal device. Based on the ID indicated in the configuration information, the second CSI feedback model corresponding to the ID is selected / switched among the multiple CSI feedback models for subsequent model monitoring data reporting. Optionally, different CSI feedback models may have different accuracies, for example, corresponding to different numbers of bits in the CSI feedback information.

[0142] It should be noted that the configuration information may be used to indicate not only one type of information but also multiple types of information. For example, the configuration information may be used to indicate the transmission time of CSI feedback information used to monitor a first CSI feedback model and the number of bits of the CSI feedback information, or the configuration information may be used to indicate the transmission time of the CSI feedback information and the ID of a second CSI feedback model. In actual applications, the configuration information may be set based on scenario requirements, system conventions, protocol conventions, etc., and will not be further described here.

[0143] In some embodiments, the above-mentioned information transmission method further includes: the network device sends deactivation information to the terminal device; wherein the deactivation information is used to instruct the terminal device to stop sending CSI feedback information for monitoring the first CSI feedback model.

[0144] Accordingly, in some embodiments, the above-mentioned information transmission method further includes: the terminal device receives deactivation information from the network device; wherein the deactivation information is used to instruct the terminal device to stop sending CSI feedback information for monitoring the first CSI feedback model.

[0145] According to the above embodiment, the network device can send the deactivation information when it is not necessary to collect model monitoring data to stop reporting the model monitoring data, thereby achieving switching and compatibility with the original CSI reporting mechanism, thereby avoiding unnecessary high-precision CSI feedback information reporting, which is conducive to controlling transmission resource overhead.

[0146] To facilitate understanding of the above embodiments, several application examples are provided below.

[0147] Application Example 1

[0148] FIG9 is a schematic diagram of the information transmission method in Application Example 1 of this application. The specific steps are as follows:

[0149] Step S1: The second device sends model monitoring data collection configuration information (DCCI) to trigger the first device to collect model monitoring data and guide the reporting period and feedback bit number;

[0150] Step S2: The first device starts collecting data for model monitoring based on the data collection configuration information (DCCI) issued in S1. Based on the information in S1, it determines the target reporting time and target number of CSI feedback bits, and compresses the channel state information into a bit stream (a data stream in bit form).

[0151] Step S3: The reporting process of model monitoring data relies on the original CSI reporting process. In order to distinguish whether the current CSI information is used for model monitoring, a CSI type indication information (CSI-type) is added to the original CSI information;

[0152] Step S4: The second device receives the CSI information from the first device, and determines whether the current CSI is used for model monitoring based on the CSI-type. If so, it parses the model monitoring data based on the DCCI to complete a sample collection.

[0153] The above work process can be applied to different CSI solutions, and the specific reporting content will also have various forms.

[0154] The following application examples 2 and 3 specifically introduce different CSI model monitoring solutions and DCCI and CSI-type related signaling interactions.

[0155] Application Example 2

[0156] In application example 2, one-sided monitoring is used to monitor the model.

[0157] Figure 10 is a schematic diagram of the information transmission method of Application Example 2 of this application. In this application example, the AI-based CSI feedback model (including encoder and decoder) is all monitored on the network device (Network, NW) side. The specific process includes:

[0158] Step S1: The NW issues model monitoring data collection configuration information (DCCI) to trigger the UE side to collect model monitoring data and guide the UE to report the timing and number of feedback bits of model monitoring data; specifically, this application example supports 4 different data collection periods and 2 different numbers of feedback bits (it can also support more or less, this application example is only for more intuitive explanation, and there is no specific limitation). DCCI is represented by 3 bits, of which the first part (the first two bits) is used to indicate the data collection period, and the second part (the third bit) is used to indicate the number of feedback bits:

[0159] Based on the above description, the first part of DCCI is indicated by 2 bits. The different values ​​of the 2 bits are defined as follows:

[0160] 00: 1 CSI feedback cycle (i.e., each CSI feedback is used to report model monitoring data);

[0161] 01: 10 CSI feedback cycles (i.e., model monitoring data is reported once every 10 CSI feedbacks);

[0162] 10: 100 CSI feedback cycles (i.e., model monitoring data is reported once every 100 CSI feedbacks);

[0163] 11: 1000 CSI feedback cycles (i.e., model monitoring data is reported once every 1000 CSI feedbacks);

[0164] The second part of DCCI uses 1 bit to indicate the different values ​​of this 1 bit. The following definitions are given:

[0165] 0: CSI data used for model monitoring is fed back with 285 bits;

[0166] 1: The CSI data used for model monitoring is fed back using 335 bits.

[0167] Step S2: The UE starts preparing data for model monitoring based on the data collection configuration information (DCCI) issued in S1. When the target reporting time is met, the CSI is compressed into a bit stream (bit-based data stream) that meets the target CSI feedback bit number.

[0168] Specifically, the compression feedback process of the model monitoring data is consistent with the feedback method in the aforementioned related technology (III), the difference being that the autoencoder model used for the compression feedback of the model monitoring data is different from the autoencoder model used for the conventional reporting of CSI. Compared with the autoencoder model used for the conventional reporting of CSI (which can be recorded as a general CSI feedback model, i.e., the above-mentioned first CSI feedback model), a CSI feedback model with higher precision (corresponding to the number of feedback bits in the second part of DCCI) is adopted (recorded as a model monitoring data feedback model, i.e., the above-mentioned second CSI feedback model), including an encoder and a decoder, which are respectively deployed at the transmitting end and the receiving end for preprocessing and restoration of the model monitoring data. There is no specific restriction on the training of the autoencoder model used to feedback the model monitoring data.

[0169] Step S3: The reporting process of the model monitoring data relies on the original CSI reporting process. In order to distinguish whether the current CSI information is used for model monitoring, a CSI type indication information (CSI type) is added to the original CSI information. Refer to Figure 8 for the setting.

[0170] Specifically, in this application example, CSI-type uses 1 bit to indicate whether the CSI data reported at the current moment can be used for model monitoring. The different values ​​of this 1 bit are defined as follows:

[0171] 0: The feedback bit stream comes from the general CSI feedback model and cannot be used for model monitoring;

[0172] 1: The feedback bit stream comes from the model monitoring data feedback model and can be used for model monitoring.

[0173] Step S4: The NW receives the CSI information from the UE and determines whether the current CSI can be used for model monitoring based on the CSI-type. If so, it uses the decoder corresponding to the number of feedback bits in the second part of the DCCI to restore the CSI data, completing a sample collection for model monitoring data.

[0174] Step S5: When necessary, the NW can issue a deactivation instruction to stop the collection of model monitoring data. This step can be set according to the amount of model monitoring data required and is optional but not necessary.

[0175] This application example leverages the redundancy of CSI to compress model monitoring data to a certain degree while ensuring high-precision feedback. Because the compression process is consistent with the AI-based CSI compression feedback process, model monitoring data collection can be integrated into the existing CSI feedback process, enabling more flexible and cost-effective model monitoring. This also enhances the accuracy of CSI feedback at the time of reporting.

[0176] It is understood that in some scenarios, model monitoring can also be implemented entirely on the UE side. Since the CSI measurement comes from the UE side, when the UE performs model monitoring on a single end, the raw CSI measured by the UE can be used to evaluate and monitor the first CSI feedback model. Therefore, no data transmission is involved, and therefore no signaling interaction for model monitoring data transmission is involved.

[0177] Application Example 3

[0178] In application example three, dual-end monitoring is used to monitor the model.

[0179] Figure 11 is a schematic diagram of the information transmission method of Application Example 3 of this application. Different from Application Example 2, this application example proposes a model monitoring data collection method under the model monitoring scheme on both the NW side and the UE side. Because both the UE side and the NW side need CSI data for model monitoring, the UE side can directly collect CSI, and the NW side data needs to be reported by the UE side. In order to ensure that the data is consistent with the NW side, the NW side needs to send configuration information to unify the sampling time.

[0180] The AI-based CSI feedback model (encoder and decoder) in this application example monitors both the UE and the NW. The specific process is as follows:

[0181] Step S1: The NW sends DCCI to trigger the UE to collect model monitoring data and instruct the UE to report the period and number of bits of the model monitoring data. Specifically, this application example supports two different data collection periods and two different numbers of feedback bits (more or fewer can also be supported. This application example is only for more intuitive explanation and is not specifically limited). DCCI is represented by 2 bits, where the first part (the first bit) is used to indicate the data collection period, and the second part (the second bit) is used to indicate the number of feedback bits:

[0182] Based on the above description, the first part of DCCI is indicated by 1 bit. The different values ​​of this 1 bit are defined as follows:

[0183] 0: 10 CSI feedback cycles;

[0184] 1: 1000 CSI feedback cycles;

[0185] The second part of DCCI uses 1 bit to indicate the different values ​​of this 1 bit. The following definitions are given:

[0186] 0: CSI data for model monitoring is fed back with 335 bits;

[0187] 1: The CSI data used for model monitoring is fed back using 435 bits.

[0188] It should be noted that, in other examples, the CSI data used for model monitoring may also be fed back using other numbers of bits, that is, the preset number of feedback bits may also include other values, such as 250 or 285, which can achieve a feedback accuracy of 90% or more (see FIG7 ). For example, the second part of the DCCI may also include 2 bits, which are used to indicate one of the preset feedback bit numbers of 250, 285, 335, and 435.

[0189] Step S2: The UE initiates model monitoring data preparation based on the Data Collection Configuration Information (DCCI) issued in S1. If the current time corresponds to the model monitoring data feedback reporting time in the DCCI, the UE performs high-precision compression processing on the channel state information to generate a bit stream that meets the target CSI feedback bit count for feedback reporting.

[0190] Specifically, the compression feedback process of the model monitoring data is consistent with the feedback method in the aforementioned related technology (III), the difference being that the autoencoder model used for the compression feedback of the model monitoring data is different from the autoencoder model used for the conventional reporting of CSI. Compared with the autoencoder model used for the conventional reporting of CSI (which can be recorded as a general CSI feedback model, i.e., the above-mentioned first CSI feedback model), a CSI feedback model with higher precision (corresponding to the number of feedback bits in the second part of DCCI) is adopted (recorded as a model monitoring data feedback model, i.e., the above-mentioned second CSI feedback model), including an encoder and a decoder, which are respectively deployed at the transmitting end and the receiving end for preprocessing and restoration of the model monitoring data. There is no specific restriction on the training of the autoencoder model used to feedback the model monitoring data.

[0191] In addition, to ensure that the model monitoring data collected by the UE is consistent with that collected by the NW, a decoder for the model monitoring data compression feedback model must be deployed on the UE. The feedback bit stream sent to the network device is input to this decoder, which performs monitoring data restoration on the UE to ensure that the data collected by the UE is the same as the data restored by the NW.

[0192] Step S3: The reporting process of the model monitoring data relies on the original CSI reporting process. In order to distinguish whether the current CSI information is used for model monitoring, a CSI type information (CSI type) is added to the original CSI information. Refer to FIG8 for the setting.

[0193] Specifically, in this application example, CSI-type uses 1 bit to indicate whether the CSI data reported at the current moment can be used for model monitoring. The different values ​​of this 1 bit are defined as follows:

[0194] 0: The feedback bit stream comes from the general CSI feedback model and cannot be used for model monitoring;

[0195] 1: The feedback bit stream comes from the model monitoring data feedback model and can be used for model monitoring.

[0196] Step S4: The NW receives the CSI information from the UE and determines whether the current CSI can be used for model monitoring based on the CSI-type. If so, it uses the decoder corresponding to the number of feedback bits in the second part of the DCCI to restore the CSI data, completing a sample collection for model monitoring data.

[0197] Step S5: When necessary, the NW can issue a deactivation instruction to stop the collection of model monitoring data. This step can be set according to the amount of model monitoring data required and is optional but not necessary.

[0198] This application example leverages the redundancy of CSI to ensure high-precision feedback while also compressing model monitoring data to a certain extent. Because the compression process is consistent with the AI-based CSI compression feedback process, data collection for model monitoring can be integrated into the existing CSI feedback process, enabling more flexible and less-overhead model monitoring. This can also enhance the accuracy of CSI feedback at the time of CSI monitoring data reporting. Furthermore, in this application example, the UE implements model monitoring using data and methods consistent with those on the NW side, eliminating the need for bilateral interaction to evaluate monitoring results, further reducing transmission overhead.

[0199] FIG12 is a schematic block diagram of a terminal device 1200 according to an embodiment of the present application. The terminal device 1200 may include:

[0200] The first communication module 1210 is configured to send first reporting information to the network device; wherein the first reporting information includes CSI feedback information, and the first reporting information is used by the network device to determine whether the CSI feedback information is used to monitor the first CSI feedback model.

[0201] In one embodiment, when the CSI feedback information is not used to monitor the first CSI feedback model, the CSI feedback information includes first coding information;

[0202] The first coding information is obtained by encoding the first CSI based on the encoder in the first CSI feedback model, and the first coding information is used by the network device to decode the first CSI based on the decoder in the first CSI feedback model to obtain the second CSI.

[0203] In one embodiment, when the CSI feedback information is used to monitor the first CSI feedback model, the CSI feedback information includes the first CSI or compressed data of the first CSI.

[0204] In one embodiment, the number of bits in the compressed data of the first CSI is greater than the number of bits in the first coded information obtained by encoding the first CSI based on the encoder in the first CSI feedback model.

[0205] In one embodiment, the compressed data of the first CSI includes second encoding information obtained by encoding the first CSI based on an encoder in the second CSI feedback model.

[0206] In one embodiment, as shown in FIG13 , the terminal device 1200 further includes a first processing module 1310 configured to:

[0207] Decoding the second coded information based on a decoder in the second CSI feedback model to obtain third CSI;

[0208] Processing the third CSI based on the first CSI feedback model to obtain fourth CSI;

[0209] The first CSI feedback model is monitored based on the third CSI and the fourth CSI.

[0210] In one implementation, the first reporting information includes type indication information, where the type indication information is used to indicate whether the CSI feedback information is used to monitor the first CSI feedback model.

[0211] In one implementation, the relevant parameters of the first reporting information are used by the network device to determine whether the CSI feedback information is used to monitor the first CSI feedback model.

[0212] In one implementation, the relevant parameters of the first reporting information include the sending time of the first reporting information.

[0213] In one embodiment, the first communication module 1210 is further configured to:

[0214] Receive configuration information from a network device; wherein the configuration information is used to instruct sending CSI feedback information for monitoring a first CSI feedback model.

[0215] In one embodiment, the configuration information is used to indicate one or more of the following information:

[0216] The time when CSI feedback information is sent;

[0217] The number of bits in the CSI feedback information;

[0218] The identifier ID of the second CSI feedback model used to obtain CSI feedback information.

[0219] In one embodiment, the first communication module 1210 is further configured to:

[0220] Deactivation information is received from a network device, wherein the deactivation information is used to instruct to stop sending CSI feedback information for monitoring the first CSI feedback model.

[0221] The terminal device 1200 of the embodiment of the present application can implement the corresponding functions of the terminal device in the aforementioned method embodiment. The processes, functions, implementation methods and beneficial effects corresponding to the various modules (sub-modules, units or components, etc.) in the terminal device 1200 can be found in the corresponding descriptions in the above-mentioned method embodiments, and will not be repeated here. It should be noted that the functions described in the various modules (sub-modules, units or components, etc.) in the terminal device 1200 of the embodiment of the application can be implemented by different modules (sub-modules, units or components, etc.) or by the same module (sub-module, unit or component, etc.).

[0222] FIG14 is a schematic block diagram of a network device 1400 according to an embodiment of the present application. The network device 1400 may include:

[0223] The second communication module 1410 is configured to receive first reporting information from a terminal device; wherein the first reporting information includes CSI feedback information;

[0224] The second processing module 1420 is configured to determine, based on the first reporting information, whether to use the CSI feedback information to monitor the first CSI feedback model.

[0225] In one embodiment, the second processing module 1420 is further configured to:

[0226] When the CSI feedback information is not used to monitor the first CSI feedback model, the first encoded information in the CSI feedback information is decoded based on the decoder in the first CSI feedback model to obtain the second CSI; wherein the first encoded information is obtained by the terminal device encoding the first CSI based on the encoder in the first CSI feedback model.

[0227] In one embodiment, the second processing module 1420 is further configured to:

[0228] When the CSI feedback information is used to monitor the first CSI feedback model, the first CSI feedback model is monitored according to the first CSI or compressed data of the first CSI in the CSI feedback information.

[0229] In one embodiment, the number of bits in the compressed data of the first CSI is greater than the number of bits in the first coded information obtained by encoding the first CSI based on the encoder in the first CSI feedback model.

[0230] In one embodiment, the compressed data of the first CSI includes second encoding information obtained by the terminal device encoding the first CSI based on an encoder in the second CSI feedback model.

[0231] In one embodiment, the second processing module 1420 is further configured to:

[0232] Decoding the second coded information in the CSI feedback information based on the decoder in the second CSI feedback model to obtain third CSI;

[0233] Processing the third CSI based on the first CSI feedback model to obtain fourth CSI;

[0234] The first CSI feedback model is monitored based on the third CSI and the fourth CSI.

[0235] In one implementation, the first reporting information includes type indication information, where the type indication information is used to indicate whether the CSI feedback information is used to monitor the first CSI feedback model.

[0236] In one implementation, the relevant parameters of the first reporting information are used to determine whether the CSI feedback information is used to monitor the first CSI feedback model.

[0237] In one implementation, the relevant parameters of the first reporting information include the sending time of the first reporting information.

[0238] In one embodiment, the second communication module 1410 is further configured to:

[0239] Send configuration information to the terminal device; wherein the configuration information is used to instruct the terminal device to send CSI feedback information for monitoring the first CSI feedback model.

[0240] In one embodiment, the configuration information is used to indicate one or more of the following information:

[0241] The time when CSI feedback information is sent;

[0242] The number of bits in the CSI feedback information;

[0243] The identifier ID of the second CSI feedback model used to obtain CSI feedback information.

[0244] In one embodiment, the second communication module 1410 is further configured to:

[0245] Send deactivation information to the terminal device; wherein the deactivation information is used to instruct the terminal device to stop sending CSI feedback information used to monitor the first CSI feedback model.

[0246] The network device 1400 of the embodiment of the present application can implement the corresponding functions of the network device in the aforementioned method embodiment. The processes, functions, implementation methods and beneficial effects corresponding to each module (sub-module, unit or component, etc.) in the network device 1400 can be found in the corresponding description in the above method embodiment, and will not be repeated here. It should be noted that the functions described in the various modules (sub-module, unit or component, etc.) in the network device 1400 of the embodiment of the application can be implemented by different modules (sub-module, unit or component, etc.) or by the same module (sub-module, unit or component, etc.).

[0247] Figure 15 is a schematic structural diagram of a communication device 1500 according to an embodiment of the present application. The communication device 1500 includes a processor 1510, which can call and execute a computer program from a memory to enable the communication device 1500 to implement the method in the embodiment of the present application.

[0248] In one embodiment, the communication device 1500 may further include a memory 1520. The processor 1510 may call and execute a computer program from the memory 1520 to enable the communication device 1500 to implement the method in the embodiment of the present application.

[0249] The memory 1520 may be a separate device independent of the processor 1510 , or may be integrated into the processor 1510 .

[0250] In one embodiment, the communication device 1500 may further include a transceiver 1530 , and the processor 1510 may control the transceiver 1530 to communicate with other devices. Specifically, the transceiver 1530 may send information or data to other devices, or receive information or data sent by other devices.

[0251] The transceiver 1530 may include a transmitter and a receiver. The transceiver 1530 may further include an antenna, and the number of antennas may be one or more.

[0252] In one embodiment, the communication device 1500 may be a network device of an embodiment of the present application, and the communication device 1500 may implement the corresponding processes implemented by the network device in each method of the embodiment of the present application. For the sake of brevity, they will not be repeated here.

[0253] In one embodiment, the communication device 1500 may be a terminal device of an embodiment of the present application, and the communication device 1500 may implement the corresponding processes implemented by the terminal device in each method of the embodiment of the present application. For the sake of brevity, they will not be repeated here.

[0254] 16 is a schematic structural diagram of a chip 1600 according to an embodiment of the present application. The chip 1600 includes a processor 1610, which can call and execute a computer program from a memory to implement the method according to the embodiment of the present application.

[0255] In one embodiment, the chip 1600 may further include a memory 1620. The processor 1610 may call and execute a computer program from the memory 1620 to implement the method executed by the terminal device or the network device in the embodiment of the present application.

[0256] The memory 1620 may be a separate device independent of the processor 1610 , or may be integrated into the processor 1610 .

[0257] In one embodiment, the chip 1600 may further include an input interface 1630. The processor 1610 may control the input interface 1630 to communicate with other devices or chips, and specifically, may obtain information or data sent by other devices or chips.

[0258] In one embodiment, the chip 1600 may further include an output interface 1640. The processor 1610 may control the output interface 1640 to communicate with other devices or chips, and specifically, may output information or data to other devices or chips.

[0259] In one embodiment, the chip can be applied to the network device in the embodiments of the present application, and the chip can implement the corresponding processes implemented by the network device in each method of the embodiments of the present application. For the sake of brevity, they will not be repeated here.

[0260] In one embodiment, the chip can be applied to the terminal device in the embodiments of the present application, and the chip can implement the corresponding processes implemented by the terminal device in each method of the embodiments of the present application. For the sake of brevity, they will not be repeated here.

[0261] The chips used in the network device and the terminal device may be the same chip or different chips.

[0262] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0263] The processor mentioned above may be a general-purpose processor, a digital signal processor (DSP), a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), or other programmable logic devices, transistor logic devices, discrete hardware components, etc. The general-purpose processor mentioned above may be a microprocessor or any conventional processor, etc.

[0264] The memory mentioned above may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. The non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM).

[0265] It should be understood that the above-mentioned memories are exemplary but not restrictive. For example, the memories in the embodiments of the present application may also be static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct RAM RAM (DR RAM), etc. In other words, the memories in the embodiments of the present application are intended to include, but are not limited to, these and any other suitable types of memories.

[0266] FIG17 is a schematic block diagram of a communication system 1700 according to an embodiment of the present application. The communication system 1700 includes a terminal device 1200 and a network device 1400 .

[0267] The terminal device 1200 sends first reporting information to the network device 1400; wherein the first reporting information includes CSI feedback information, and the first reporting information is used by the network device 1400 to determine whether the CSI feedback information is used to monitor the first CSI feedback model.

[0268] The network device 1400 receives first reporting information from the terminal device 1200, wherein the first reporting information includes CSI feedback information. The network device 1400 determines whether to use the CSI feedback information for monitoring the first CSI feedback model based on the first reporting information.

[0269] The terminal device 1200 can be used to implement the corresponding functions implemented by the terminal device in the above method, and the network device 1400 can be used to implement the corresponding functions implemented by the network device in the above method. For the sake of brevity, they are not described here in detail.

[0270] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When software is used for implementation, 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 in accordance with 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 devices. 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 a website, computer, server or data center by wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) mode to another website, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrations. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a DVD), or a semiconductor medium (eg, a solid state disk (SSD)).

[0271] It should be understood that in the 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.

[0272] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0273] The above are only specific embodiments of the present application, but the scope of protection of this 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. An information transmission method, comprising: The terminal device sends first reporting information to the network device; wherein the first reporting information includes CSI feedback information, and the first reporting information is used by the network device to determine whether the CSI feedback information is used to monitor the first CSI feedback model.

2. The method according to claim 1, wherein: In a case where the CSI feedback information is not used to monitor the first CSI feedback model, the CSI feedback information includes first coding information; The first coding information is obtained by the terminal device encoding the first CSI based on the encoder in the first CSI feedback model, and the first coding information is used by the network device to decode the second CSI based on the decoder in the first CSI feedback model.

3. The method according to claim 1 or 2, wherein: In a case where the CSI feedback information is used to monitor the first CSI feedback model, the CSI feedback information includes the first CSI or compressed data of the first CSI.

4. The method according to claim 3, wherein: The number of bits in the compressed data of the first CSI is greater than the number of bits in first encoded information obtained by encoding the first CSI based on an encoder in the first CSI feedback model.

5. The method according to claim 3 or 4, wherein: The compressed data of the first CSI includes second encoding information obtained by the terminal device encoding the first CSI based on an encoder in a second CSI feedback model.

6. The method according to claim 5, wherein: The method further comprises: The terminal device decodes the second coded information based on the decoder in the second CSI feedback model to obtain a third CSI; The terminal device processes the third CSI based on the first CSI feedback model to obtain a fourth CSI; The terminal device monitors the first CSI feedback model based on the third CSI and the fourth CSI.

7. The method according to any one of claims 1 to 6, wherein: The first reporting information includes type indication information, where the type indication information is used to indicate whether the CSI feedback information is used to monitor the first CSI feedback model.

8. The method according to any one of claims 1 to 7, wherein: The relevant parameters of the first reporting information are used by the network device to determine whether the CSI feedback information is used to monitor the first CSI feedback model.

9. The method according to claim 8, wherein: The relevant parameters of the first reporting information include the sending time of the first reporting information.

10. The method according to any one of claims 1 to 9, wherein: Before the terminal device sends the first reporting information to the network device, the method further includes: The terminal device receives configuration information from the network device, wherein the configuration information is used to instruct the terminal device to send CSI feedback information for monitoring the first CSI feedback model.

11. The method according to claim 10, wherein: The configuration information is used to indicate one or more of the following information: The sending time of the CSI feedback information; The number of bits in the CSI feedback information; An identifier ID of a second CSI feedback model used to obtain the CSI feedback information.

12. The method according to any one of claims 1 to 11, wherein: The method further comprises: The terminal device receives deactivation information from the network device, wherein the deactivation information is used to instruct the terminal device to stop sending CSI feedback information used to monitor the first CSI feedback model.

13. An information transmission method, comprising: The network device receives first reporting information from the terminal device; wherein the first reporting information includes CSI feedback information; The network device determines, based on the first reporting information, whether to use the CSI feedback information to monitor a first CSI feedback model.

14. The method according to claim 13, wherein: The method further comprises: When the CSI feedback information is not used to monitor the first CSI feedback model, the network device decodes the first encoded information in the CSI feedback information based on the decoder in the first CSI feedback model to obtain the second CSI; wherein the first encoded information is obtained by the terminal device encoding the first CSI based on the encoder in the first CSI feedback model.

15. The method according to claim 13 or 14, wherein: The method further comprises: In a case where the CSI feedback information is used to monitor the first CSI feedback model, the network device monitors the first CSI feedback model according to the first CSI in the CSI feedback information or compressed data of the first CSI.

16. The method according to claim 15, wherein: The number of bits in the compressed data of the first CSI is greater than the number of bits in first encoded information obtained by encoding the first CSI based on an encoder in the first CSI feedback model.

17. The method according to claim 15 or 16, wherein: The compressed data of the first CSI includes second encoding information obtained by the terminal device encoding the first CSI based on an encoder in a second CSI feedback model.

18. The method according to claim 17, wherein: The network device monitors the first CSI feedback model according to the first CSI in the CSI feedback information or the compressed data of the first CSI, including: The network device decodes the second coded information in the CSI feedback information based on the decoder in the second CSI feedback model to obtain a third CSI; The network device processes the third CSI based on the first CSI feedback model to obtain a fourth CSI; The network device monitors the first CSI feedback model based on the third CSI and the fourth CSI.

19. The method according to any one of claims 13 to 18, wherein: The first reporting information includes type indication information, where the type indication information is used to indicate whether the CSI feedback information is used to monitor the first CSI feedback model.

20. The method according to any one of claims 13 to 19, wherein: The relevant parameters of the first reporting information are used by the network device to determine whether the CSI feedback information is used to monitor the first CSI feedback model.

21. The method according to claim 20, wherein: The relevant parameters of the first reporting information include the sending time of the first reporting information.

22. The method according to any one of claims 13 to 21, wherein: Before the network device receives the first reporting information from the terminal device, the method further includes: The network device sends configuration information to the terminal device, wherein the configuration information is used to instruct the terminal device to send CSI feedback information for monitoring the first CSI feedback model.

23. The method according to claim 22, wherein: The configuration information is used to indicate one or more of the following information: The sending time of the CSI feedback information; The number of bits in the CSI feedback information; An identifier ID of a second CSI feedback model used to obtain the CSI feedback information.

24. The method according to any one of claims 13 to 23, wherein: The method further comprises: The network device sends deactivation information to the terminal device, wherein the deactivation information is used to instruct the terminal device to stop sending CSI feedback information used to monitor the first CSI feedback model.

25. A terminal device, comprising: The first communication module is used to send first reporting information to the network device; wherein the first reporting information includes CSI feedback information, and the first reporting information is used by the network device to determine whether the CSI feedback information is used to monitor the first CSI feedback model.

26. The terminal device according to claim 25, wherein: In a case where the CSI feedback information is not used to monitor the first CSI feedback model, the CSI feedback information includes first coding information; The first coding information is obtained by encoding the first CSI based on the encoder in the first CSI feedback model, and the first coding information is used by the network device to decode the first CSI based on the decoder in the first CSI feedback model to obtain the second CSI.

27. The terminal device according to claim 25 or 26, wherein: In a case where the CSI feedback information is used to monitor the first CSI feedback model, the CSI feedback information includes the first CSI or compressed data of the first CSI.

28. The terminal device according to claim 27, wherein: The number of bits in the compressed data of the first CSI is greater than the number of bits in first encoded information obtained by encoding the first CSI based on an encoder in the first CSI feedback model.

29. The terminal device according to claim 27 or 28, wherein: The compressed data of the first CSI includes second encoding information obtained by encoding the first CSI based on an encoder in a second CSI feedback model.

30. The terminal device according to claim 29, wherein: The terminal device further includes a first processing module, wherein the first processing module is configured to: Decoding the second coded information based on the decoder in the second CSI feedback model to obtain third CSI; Processing the third CSI based on the first CSI feedback model to obtain a fourth CSI; The first CSI feedback model is monitored based on the third CSI and the fourth CSI.

31. The terminal device according to any one of claims 25 to 30, wherein: The first reporting information includes type indication information, where the type indication information is used to indicate whether the CSI feedback information is used to monitor the first CSI feedback model.

32. The terminal device according to any one of claims 25 to 31, wherein: The relevant parameters of the first reporting information are used by the network device to determine whether the CSI feedback information is used to monitor the first CSI feedback model.

33. The terminal device according to claim 32, wherein: The relevant parameters of the first reporting information include the sending time of the first reporting information.

34. The terminal device according to any one of claims 25 to 33, wherein: The first communication module is also used for: Receive configuration information from the network device; wherein the configuration information is used to instruct sending CSI feedback information for monitoring the first CSI feedback model.

35. The terminal device according to claim 34, wherein: The configuration information is used to indicate one or more of the following information: The sending time of the CSI feedback information; The number of bits in the CSI feedback information; An identifier ID of a second CSI feedback model used to obtain the CSI feedback information.

36. The terminal device according to any one of claims 25 to 35, wherein: The first communication module is also used for: Receive deactivation information from the network device; wherein the deactivation information is used to indicate to stop sending CSI feedback information used to monitor the first CSI feedback model.

37. A network device comprising: A second communication module is used to receive first reporting information from a terminal device; wherein the first reporting information includes CSI feedback information; The second processing module is used to determine whether to use the CSI feedback information to monitor a first CSI feedback model based on the first reporting information.

38. The network device according to claim 37, wherein: The second processing module is also used for: When the CSI feedback information is not used to monitor the first CSI feedback model, the first encoded information in the CSI feedback information is decoded based on the decoder in the first CSI feedback model to obtain the second CSI; wherein the first encoded information is obtained by the terminal device encoding the first CSI based on the encoder in the first CSI feedback model.

39. The network device according to claim 37 or 38, wherein: The second processing module is also used for: In a case where the CSI feedback information is used to monitor the first CSI feedback model, the first CSI feedback model is monitored according to the first CSI in the CSI feedback information or compressed data of the first CSI.

40. The network device according to claim 39, wherein: The number of bits in the compressed data of the first CSI is greater than the number of bits in first encoded information obtained by encoding the first CSI based on an encoder in the first CSI feedback model.

41. The network device according to claim 39 or 40, wherein: The compressed data of the first CSI includes second encoding information obtained by the terminal device encoding the first CSI based on an encoder in a second CSI feedback model.

42. The network device according to claim 41, wherein: The second processing module is also used for: Decoding the second coded information in the CSI feedback information based on the decoder in the second CSI feedback model to obtain a third CSI; Processing the third CSI based on the first CSI feedback model to obtain a fourth CSI; The first CSI feedback model is monitored based on the third CSI and the fourth CSI.

43. The network device according to any one of claims 37 to 42, wherein: The first reporting information includes type indication information, where the type indication information is used to indicate whether the CSI feedback information is used to monitor the first CSI feedback model.

44. The network device according to any one of claims 37 to 43, wherein: The relevant parameters of the first reporting information are used to determine whether the CSI feedback information is used to monitor the first CSI feedback model.

45. The network device according to claim 44, wherein: The relevant parameters of the first reporting information include the sending time of the first reporting information.

46. ​​The network device according to any one of claims 37 to 45, wherein: The second communication module is also used for: Send configuration information to the terminal device; wherein the configuration information is used to instruct the terminal device to send CSI feedback information for monitoring the first CSI feedback model.

47. The network device according to claim 46, wherein: The configuration information is used to indicate one or more of the following information: The sending time of the CSI feedback information; The number of bits in the CSI feedback information; An identifier ID of a second CSI feedback model used to obtain the CSI feedback information.

48. The network device according to any one of claims 37 to 47, wherein: The second communication module is also used for: Send deactivation information to the terminal device; wherein the deactivation information is used to instruct the terminal device to stop sending CSI feedback information used to monitor the first CSI feedback model.

49. A terminal device, comprising: A transceiver, a processor and a memory, wherein the memory is used to store a computer program, the transceiver is used to communicate with other devices, and the processor is used to call and run the computer program stored in the memory so that the terminal device executes: Sending first reporting information to a network device; wherein the first reporting information includes CSI feedback information, and the first reporting information is used by the network device to determine whether the CSI feedback information is used to monitor a first CSI feedback model.

50. The terminal device according to claim 49, wherein: In a case where the CSI feedback information is not used to monitor the first CSI feedback model, the CSI feedback information includes first coding information; The first coding information is obtained by the terminal device encoding the first CSI based on the encoder in the first CSI feedback model, and the first coding information is used by the network device to decode the second CSI based on the decoder in the first CSI feedback model.

51. The terminal device according to claim 49 or 50, wherein: In a case where the CSI feedback information is used to monitor the first CSI feedback model, the CSI feedback information includes the first CSI or compressed data of the first CSI.

52. The terminal device according to claim 51, wherein: The number of bits in the compressed data of the first CSI is greater than the number of bits in first encoded information obtained by encoding the first CSI based on an encoder in the first CSI feedback model.

53. The terminal device according to claim 51 or 52, wherein the compressed data of the first CSI includes second encoding information obtained by the terminal device encoding the first CSI based on an encoder in a second CSI feedback model.

54. The terminal device according to claim 53, wherein: The processor is further configured to cause the terminal device to execute: Decoding the second coded information based on the decoder in the second CSI feedback model to obtain third CSI; Processing the third CSI based on the first CSI feedback model to obtain a fourth CSI; The first CSI feedback model is monitored based on the third CSI and the fourth CSI.

55. The terminal device according to any one of claims 49 to 54, wherein: The first reporting information includes type indication information, where the type indication information is used to indicate whether the CSI feedback information is used to monitor the first CSI feedback model.

56. The terminal device according to any one of claims 49 to 55, wherein: The relevant parameters of the first reporting information are used by the network device to determine whether the CSI feedback information is used to monitor the first CSI feedback model.

57. The terminal device according to claim 56, wherein: The relevant parameters of the first reporting information include the sending time of the first reporting information.

58. The terminal device according to any one of claims 49 to 57, wherein: The processor is further configured to cause the terminal device to execute: Receive configuration information from the network device; wherein the configuration information is used to instruct the terminal device to send CSI feedback information for monitoring the first CSI feedback model.

59. The terminal device according to claim 58, wherein: The configuration information is used to indicate one or more of the following information: The sending time of the CSI feedback information; The number of bits in the CSI feedback information; An identifier ID of a second CSI feedback model used to obtain the CSI feedback information.

60. The terminal device according to any one of claims 49 to 59, wherein: The processor is further configured to cause the terminal device to execute: Receive deactivation information from the network device; wherein the deactivation information is used to instruct the terminal device to stop sending CSI feedback information used to monitor the first CSI feedback model.

61. A network device comprising: A transceiver, a processor and a memory, wherein the memory is used to store a computer program, the transceiver is used to communicate with other devices, and the processor is used to call and run the computer program stored in the memory so that the network device executes: Receiving first reporting information from a terminal device; wherein the first reporting information includes CSI feedback information; Determine whether to use the CSI feedback information to monitor a first CSI feedback model based on the first reporting information.

62. The network device according to claim 61, wherein: The processor is further configured to cause the network device to execute: When the CSI feedback information is not used to monitor the first CSI feedback model, the first encoded information in the CSI feedback information is decoded based on the decoder in the first CSI feedback model to obtain the second CSI; wherein the first encoded information is obtained by the terminal device encoding the first CSI based on the encoder in the first CSI feedback model.

63. The network device according to claim 61 or 62, wherein: The processor is further configured to cause the network device to execute: In a case where the CSI feedback information is used to monitor the first CSI feedback model, the first CSI feedback model is monitored according to the first CSI in the CSI feedback information or compressed data of the first CSI.

64. The network device according to claim 63, wherein: The number of bits in the compressed data of the first CSI is greater than the number of bits in first encoded information obtained by encoding the first CSI based on an encoder in the first CSI feedback model.

65. The network device according to claim 63 or 64, wherein: The compressed data of the first CSI includes second encoding information obtained by the terminal device encoding the first CSI based on an encoder in a second CSI feedback model.

66. The network device according to claim 65, wherein: The processor is further configured to cause the network device to execute: Decoding the second coded information in the CSI feedback information based on the decoder in the second CSI feedback model to obtain a third CSI; Processing the third CSI based on the first CSI feedback model to obtain a fourth CSI; The first CSI feedback model is monitored based on the third CSI and the fourth CSI.

67. The network device according to any one of claims 61 to 66, wherein: The first reporting information includes type indication information, where the type indication information is used to indicate whether the CSI feedback information is used to monitor the first CSI feedback model.

68. The network device according to any one of claims 61-67, wherein: The relevant parameters of the first reporting information are used by the network device to determine whether the CSI feedback information is used to monitor the first CSI feedback model.

69. The network device according to claim 68, wherein: The relevant parameters of the first reporting information include the sending time of the first reporting information.

70. The network device according to any one of claims 61-69, wherein: The processor is further configured to cause the network device to execute: Send configuration information to the terminal device; wherein the configuration information is used to instruct the terminal device to send CSI feedback information for monitoring the first CSI feedback model.

71. The network device according to claim 70, wherein: The configuration information is used to indicate one or more of the following information: The sending time of the CSI feedback information; The number of bits in the CSI feedback information; An identifier ID of a second CSI feedback model used to obtain the CSI feedback information.

72. The network device according to any one of claims 61 to 71, wherein: The processor is further configured to cause the network device to execute: Send deactivation information to the terminal device; wherein the deactivation information is used to instruct the terminal device to stop sending CSI feedback information used to monitor the first CSI feedback model.

73. A chip, comprising: A processor, configured to call and run a computer program from a memory, so that a device equipped with the chip executes a method as claimed in any one of claims 1 to 12.

74. A chip, comprising: A processor, configured to call and run a computer program from a memory, so that a device equipped with the chip executes a method as claimed in any one of claims 13 to 24.

75. A computer-readable storage medium for storing a computer program, which, when executed by a device, causes the device to perform the method according to any one of claims 1 to 12.

76. A computer-readable storage medium for storing a computer program, which, when executed by a device, causes the device to perform the method as claimed in any one of claims 13 to 24.

77. A computer program product comprising computer program instructions, the computer program instructions causing a computer to perform the method as claimed in any one of claims 1 to 12.

78. A computer program product comprising computer program instructions for causing a computer to perform the method of any one of claims 13 to 24.

79. A computer program, the computer program causing a computer to execute the method according to any one of claims 1 to 12.

80. A computer program causing a computer to perform the method of any one of claims 13 to 24.

81. A communication system comprising: A terminal device, configured to execute the method according to any one of claims 1 to 12; A network device, configured to execute the method according to any one of claims 13 to 24.

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