Channel state information reporting method, apparatus, terminal device, and network device

Abstract

The present invention provides a channel state information (CSI) reporting method, an apparatus, a terminal device, and a network device. The method comprises: the terminal device sends a CSI report to the network device, the CSI report comprising a plurality of pieces of CSI, wherein the plurality of pieces of CSI comprise: at least one piece of first-type CSI and / or at least one piece of second-type CSI. According to the CSI reporting method in the present invention, reporting of two different types of CSI is provided, one type is derived from AI-based CSI prediction, and the other is derived from traditional CSI tracking. Therefore, under the condition that potential performance degradation of an AI-based CSI prediction model occurs, sufficiently accurate and reliable beam quality information is given to a base station by means of traditional CSI tracking measurement and reporting, guaranteeing stable data transmission even when the performance of an AI model fluctuates.

Description

Channel state information reporting method, device, terminal equipment and network equipment Technical Field

[0001] The present disclosure relates to the field of communication technology, and in particular to a method, apparatus, terminal equipment, and network equipment for reporting channel state information. Background Art

[0002] Existing research results show that AI (Artificial Intelligence) can achieve corresponding gains in multiple fields such as channel state information (CSI) feedback, beam management, and positioning within the existing 5G design framework, showing considerable application prospects. A typical use case for AI beam management is beam prediction. However, in existing technologies, although the AI ​​model applied to terminal equipment (UE) has a certain generalization capability, the prediction results of the UE's AI model are only accurate under certain specific beamforming, certain specific numbers of beams, or certain specific channel environments. The AI ​​model may no longer have excellent prediction performance due to changes in the configured parameters or the scenario in which it is located.

[0003] In this case, the model can generally be managed through performance monitoring and subsequent activation / deactivation, switching, and fallback to ensure the reliability of the beam management process. However, completing this process often requires the base station to perform RRC (Radio Resource Control) reconfiguration, which usually takes a certain amount of time. Summary of the Invention

[0004] In view of the above problems, the present disclosure is proposed. The present disclosure provides a method, apparatus, terminal device and network device for reporting channel state information.

[0005] According to a first aspect of the present disclosure, a method for reporting channel state information is provided, which is applied to a terminal device. The method includes: the terminal device sends a channel state information CSI report to a network device, where the CSI report includes multiple CSIs, wherein the multiple CSIs include: at least one first-category CSI and / or at least one second-category CSI.

[0006] In addition, according to a method for reporting channel state information according to one aspect of the present disclosure, the first type of CSI is associated with at least a first resource set, and the first resource set is used for channel measurement.

[0007] In addition, according to a method for reporting channel state information according to one aspect of the present disclosure, the first type of CSI is associated with at least a third resource set, and the third resource set includes: resources used for interference measurement.

[0008] In addition, according to a method for reporting channel state information according to one aspect of the present disclosure, the first type of CSI is determined based on the first resource set and / or the third resource set.

[0009] In addition, according to a method for reporting channel state information in one aspect of the present disclosure, the first resource set includes at least one of the following: non-zero power channel state information reference signal NZP CSI-RS (Non-Zero Power CSI Reference Signal) resources; and / or synchronization signal block SSB (Synchronization Signal Block) resources.

[0010] In addition, according to a channel state information reporting method according to one aspect of the present disclosure, the third resource set includes at least one of the following: channel state information interference measurement CSI-IM (Channel State Information-Interference Measurement) resources; and / or NZP CSI-RS resources for interference measurement.

[0011] In addition, according to a method for reporting channel state information in one aspect of the present disclosure, the first type of CSI includes at least one of the following: CSI-RS (Channel State-Information Reference Signal) resource indicator (Resource Indicator)-reference signal received power (Reference Signal Received Power), CRI-RSRP; synchronization signal block index-reference signal received power SSB-Index-RSRP (SSB-Index-Reference Signal Received Power); CSI-RS resource indicator-signal to interference plus noise ratio CRI-SINR; synchronization signal block index-signal to interference plus noise ratio SSB-Index-SINR (SSB-Index-Signal to Interference plus Noise Ratio).

[0012] In addition, according to a method for reporting channel state information according to one aspect of the present disclosure, CSI is associated with at least a second resource set, and the second resource set is used to determine a CSI prediction result.

[0013] In addition, according to a method for reporting channel state information according to one aspect of the present disclosure, the second type of CSI is determined based on CSI prediction.

[0014] In addition, according to a method for reporting channel state information in one aspect of the present disclosure, the CSI prediction result includes at least: a reference signal index; and / or a reference signal received power RSRP (Reference Signal Received Power) or a signal to interference plus noise ratio SINR (Signal to Interference plus Noise Ratio) corresponding to the reference signal index.

[0015] In addition, according to a method for reporting channel state information in one aspect of the present disclosure, the CSI report further includes: a first type of CSI number and / or a second type of CSI number.

[0016] In addition, according to a method for reporting channel state information according to one aspect of the present disclosure, a method for determining the number of first-category CSI and the number of second-category CSI includes at least one of the following: a terminal device receives the number of first-category CSI and the number of second-category CSI configured by a network device; the terminal device receives the first parameter and the second parameter configured by the network device, and determines the number of first-category CSI and the number of second-category CSI based on the first parameter, the second parameter, the first resource set, and the second resource set.

[0017] In addition, according to one aspect of the channel state information reporting method of the present disclosure, the method also includes: quantizing multiple CSIs based on the layer 1 reference signal received power L1-RSRP or the layer 1 signal to interference plus noise ratio L1-SINR in the multiple CSIs.

[0018] In addition, according to an aspect of the present disclosure, a method for reporting channel state information, wherein quantization includes: performing quantization on the maximum L1-RSRP or L1-SINR among multiple CSIs with a first predetermined data amount; performing differential quantization on other CSIs among the multiple CSIs based on the maximum L1-RSRP or L1-SINR with a second predetermined data amount.

[0019] In addition, according to a method for reporting channel state information according to one aspect of the present disclosure, quantization further includes: performing quantization on the respective maximum L1-RSRP or L1-SINR of at least one first-category CSI and at least one second-category CSI with a first predetermined data amount; performing differential quantization on the respective other CSIs of at least one first-category CSI and at least one second-category CSI based on the respective maximum L1-RSRP or L1-SINR with a second predetermined data amount.

[0020] In addition, according to one aspect of the channel state information reporting method of the present disclosure, the method also includes: when the amount of data corresponding to multiple CSIs is less than or equal to the maximum load capacity of the physical uplink control channel PUCCH (Physical Uplink Control Channel) or the physical uplink shared channel PUSCH (Physical Uplink Shared Channel) for transmitting the CSI report, all CSI in the CSI report are placed in the PUCCH or PUSCH for transmission based on the priority of the CSI report.

[0021] In addition, according to the channel state information reporting method of one aspect of the present disclosure, the method also includes: when the amount of data corresponding to multiple CSIs is greater than the maximum load capacity of the physical uplink control channel PUCCH or the physical uplink shared channel PUSCH for transmitting the CSI report, part of the CSI in the CSI report is placed in the PUCCH or PUSCH for transmission based on the priority of the CSI report.

[0022] In addition, according to one aspect of the present disclosure, a method for reporting channel state information, in which part of the CSI in the CSI report is placed in the PUCCH or PUSCH for transmission based on the priority of the CSI report, also includes: CSI belonging to the same priority is transmitted or discarded simultaneously.

[0023] According to a second aspect of the present disclosure, a channel state information reporting method is provided, which is applied to a network device. The method includes: receiving a channel state information CSI report sent by a terminal device, the CSI report including multiple CSIs, wherein the multiple CSIs include: at least one first-category CSI and / or at least one second-category CSI.

[0024] In addition, according to a method for reporting channel state information according to one aspect of the present disclosure, the first type of CSI is associated with at least a first resource set, and the first resource set is used for channel measurement.

[0025] In addition, according to a method for reporting channel state information according to one aspect of the present disclosure, the first type of CSI is associated with at least a third resource set, and the third resource set includes: resources used for interference measurement.

[0026] In addition, according to a method for reporting channel state information according to one aspect of the present disclosure, the first type of CSI is determined based on the first resource set and / or the third resource set.

[0027] In addition, according to a channel state information reporting method according to one aspect of the present disclosure, the first resource set includes at least one of the following: non-zero power channel state information reference signal NZP CSI-RS resources; and / or synchronization signal block SSB resources.

[0028] In addition, according to a channel state information reporting method according to one aspect of the present disclosure, the third resource set includes at least one of the following: a channel state information interference measurement CSI-IM resource; and / or an NZP CSI-RS resource for interference measurement.

[0029] In addition, according to a method for reporting channel state information in one aspect of the present disclosure, the first type of CSI includes at least one of the following: CSI-RS resource indicator-reference signal received power CRI-RSRP; synchronization signal block index-reference signal received power SSB-Index-RSRP; CSI-RS resource indicator-signal to interference and noise ratio CRI-SINR; synchronization signal block index-signal to interference and noise ratio SSB-Index-SINR.

[0030] In addition, according to a method for reporting channel state information according to one aspect of the present disclosure, CSI is associated with at least a second resource set, and the second resource set is used to determine a CSI prediction result.

[0031] In addition, according to a method for reporting channel state information according to one aspect of the present disclosure, the second type of CSI is determined based on CSI prediction.

[0032] In addition, according to a method for reporting channel state information in one aspect of the present disclosure, the CSI prediction result includes at least: a reference signal index; and / or a reference signal received power RSRP or a signal to interference plus noise ratio SINR corresponding to the reference signal index.

[0033] In addition, according to a method for reporting channel state information in one aspect of the present disclosure, the CSI report further includes: a first type of CSI number and / or a second type of CSI number.

[0034] In addition, according to a method for reporting channel state information according to one aspect of the present disclosure, a method for determining the number of first-category CSI and the number of second-category CSI includes at least one of the following: a network device sends the number of first-category CSI and the number of second-category CSI to a terminal device; the network device configures a first parameter and a second parameter, and determines the number of first-category CSI and the number of second-category CSI based on the first parameter, the second parameter, the first resource set, and the second resource set.

[0035] According to a third aspect of the present disclosure, a channel state information reporting device is provided, which is applied to a terminal device, and the device includes: a reporting module, which is used for the terminal device to send a CSI report to a network device, and the CSI report includes multiple channel state information CSIs, wherein the multiple CSIs include: at least one first-category CSI and / or at least one second-category CSI.

[0036] According to the fourth aspect of the present disclosure, a channel state information reporting device is provided, which is applied to a network device, and the device includes: a receiving module for receiving a channel state information CSI report sent by a terminal device, wherein the CSI report includes multiple CSIs, wherein the multiple CSIs include: at least one first-class CSI and / or at least one second-class CSI.

[0037] According to the fifth aspect of the present disclosure, a terminal device is provided, comprising: a communication interface configured to perform wireless communication with a network device; a memory for storing computer-readable instructions; and a processor for running the computer-readable instructions so that the terminal device executes the above-mentioned channel state information reporting method.

[0038] According to the sixth aspect of the present disclosure, a network device is provided, comprising: a communication interface configured to perform wireless communication with a terminal device; a memory for storing computer-readable instructions; and a processor for running the computer-readable instructions so that the network device executes the above-mentioned channel state information reporting method.

[0039] According to the seventh aspect of the present disclosure, a non-transitory computer-readable storage medium is provided for storing computer-readable instructions, characterized in that when the computer-readable instructions are executed by a processor, the processor executes the channel state information reporting method as described above.

[0040] As described in detail below, the channel state information reporting method according to the embodiments of the present disclosure proposes reporting two different types of CSI: one based on AI-based CSI prediction, and the other based on traditional CSI tracking. This allows the base station to be provided with sufficiently accurate and reliable beam quality information even when the AI-based CSI prediction model experiences potential performance degradation, through traditional CSI tracking measurement and reporting. This ensures stable data transmission even when the AI ​​model's performance fluctuates.

[0041] It is to be understood that both the foregoing general description and the following detailed description are exemplary, and are intended to provide further explanation of the technology as claimed. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The above and other purposes, features, and advantages of the present disclosure will become more apparent through a more detailed description of the embodiments of the present disclosure in conjunction with the accompanying drawings. The accompanying drawings are intended to provide a further understanding of the embodiments of the present disclosure and constitute a part of the specification. Together with the embodiments of the present disclosure, they are used to explain the present disclosure and are not intended to limit the present disclosure. In the drawings, the same reference numerals generally represent the same components or steps.

[0043] FIG1 is a schematic diagram illustrating an application scenario of a method for reporting channel state information according to an embodiment of the present disclosure.

[0044] FIG2 is a flowchart illustrating a method for reporting channel state information according to an embodiment of the present disclosure.

[0045] FIG3 further illustrates an AICSI prediction model for a method for reporting channel state information according to an embodiment of the present disclosure.

[0046] FIG4 is a flowchart further illustrating a method for reporting channel state information according to an embodiment of the present disclosure.

[0047] FIG5 is a schematic diagram illustrating a device for reporting channel state information according to an embodiment of the present disclosure.

[0048] FIG6 is a schematic diagram further illustrating a device for reporting channel state information according to an embodiment of the present disclosure.

[0049] FIG7 is a hardware block diagram illustrating a terminal device according to an embodiment of the present disclosure;

[0050] FIG8 is a hardware block diagram illustrating a network device according to an embodiment of the present disclosure;

[0051] FIG. 9 is a schematic diagram illustrating a computer-readable storage medium according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solutions and advantages of the present disclosure more apparent, the following will describe in detail exemplary embodiments of the present disclosure with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, rather than all the embodiments of the present disclosure, and it should be understood that the present disclosure is not limited to the exemplary embodiments described herein.

[0053] First, an application scenario according to an embodiment of the present disclosure is summarized with reference to Figure 1. Figure 1 is a schematic diagram illustrating an application scenario of a method for reporting channel state information according to an embodiment of the present disclosure. The technical solutions of the embodiments of the present application can be applied to various wireless communication systems, such as: Global System for Mobile Communication (GSM) system, Code Division Multiple Access (CDMA) system, Wideband Code Division Multiple Access (WCDMA) system, General Packet Radio Service (GPRS), Long Term Evolution (LTE) system, Advanced Long Term Evolution (LTE-A, LTE-Advanced) system, New Radio (NR) system, NR system evolution system, LTE on unlicensed spectrum (LTE-U, LTE-Unlicensed) system, NR on unlicensed spectrum (NR-U, NR-Unlicensed) system, Non-Terrestrial Network (NTN) system, Universal Mobile Telecommunications System (UMTS), Wireless Local Area Network (WLAN) system, Wireless Fidelity (WiFi) system, fifth generation communication (5G) system or other communication systems. It is easy to understand that the communication system architecture and business scenarios described in the embodiments of the present disclosure are intended to more clearly illustrate the technical solutions of the embodiments of the present disclosure, and do not constitute a limitation on the technical solutions provided by the embodiments of the present disclosure. Ordinary technicians in this field can understand that with the evolution of network architecture and the emergence of new business scenarios, the technical solutions provided by the embodiments of the present disclosure are also applicable to similar technical problems.

[0054] As shown in FIG1 , the application scenario at least includes: a terminal device (eg, UE 101 ) and a network device (eg, a base station 102 ).

[0055] The terminal device may be a user equipment (UE), an access terminal, a user unit, a user station, a mobile station, a mobile station, a remote station, a remote terminal, a mobile device, a user terminal, an intelligent terminal, a wireless communication device, a user agent, or a user device. The terminal may also be a cellular phone, a cordless phone, a session initiation protocol (SIP) phone, a wireless local loop (WLL) station, a personal digital assistant (PDA), a handheld device with wireless communication capabilities, a computing device or other processing device connected to a wireless modem, a relay device, a vehicle-mounted device, a wearable device, a terminal in a next-generation communication system such as an NR network or a terminal in a future-evolved public land mobile network (PLMN), etc., without specific limitation.

[0056] The network device may be a device for communicating with a terminal device. Specifically, the network device may be a base transceiver station (BTS) in a GSM or CDMA communication system, a base station (nodeB, NB) in a WCDMA communication system, an evolved base station (eNB or eNodeB) in an LTE communication system, a next generation evolved node B (ng-eNB) in an NR communication system, or a next generation base station (gNB) in an NR communication system.

[0057] In addition, a network device can also be an access point (AP) in a wireless local area network (WLAN), a relay station, a network device in a future evolved PLMN network, or a network device in an NTN network. It should be noted that in some network deployments, a network device can be a standalone node that implements all the functions of the aforementioned base station; it can include a centralized unit (CU) and a distributed unit (DU), such as the gNB-CU and gNB-DU, and can also include an active antenna unit (AAU). The CU can implement some of the functions of the network device, while the DU can implement some of the functions of the network device. For example, the CU is responsible for processing non-real-time protocols and services, implementing the functions of the radio resource control (RRC), service data adaptation protocol (SDAP), and packet data convergence protocol (PDCP) layers. The DU is responsible for processing physical layer protocols and real-time services, implementing the functions of the radio link control (RLC), medium access control (MAC), and physical (PHY) layers. In addition, the AAU implements some physical layer processing functions, RF processing, and active antenna-related functions. Because RRC layer information ultimately becomes PHY layer information, or is converted from PHY layer information, in this network deployment, higher-layer signaling (RRC) can be considered to be sent by the DU, or by both the DU and the AAU. It is understood that the network device may include at least one of the CU, DU, and AAU.

[0058] Figure 2 is a flow chart illustrating a method for reporting channel state information according to an embodiment of the present disclosure. The method for reporting channel state information according to an embodiment of the present disclosure shown in Figure 2 is performed by, for example, UE 101 described with reference to Figure 1. The method for reporting channel state information may include at least the following steps.

[0059] In step S201, the terminal device sends a channel state information CSI report to the network device, where the CSI report includes multiple CSIs, where the multiple CSIs include: at least one first type of CSI and / or at least one second type of CSI.

[0060] As described above, UE 101 sends a CSI report to base station 102, a process known as CSI reporting. The purpose of CSI reporting is for UE 101 to provide base station 102 with its own CSI. Base station 102 can then make decisions based on this real-time CSI (e.g., beamforming, power control, scheduling, etc.) to adapt to current channel conditions and user needs.

[0061] The CSI report may include multiple CSIs, including one or more first-category CSIs and one or more second-category CSIs. The first-category CSI is obtained based on traditional CSI tracking, while the second-category CSI is obtained based on AI-based CSI prediction.

[0062] Specifically, traditional CSI tracking involves measuring and analyzing resources in the actual network to determine the optimal beam. This method typically relies on real-time network measurement resources, analyzing these measurement resources to select the optimal beam. Therefore, traditional CSI tracking has certain limitations. It only determines the optimal beam based on the available measurement resources, not necessarily the global optimal beam.

[0063] In one embodiment of the present disclosure, a conventional CSI tracking method may be as follows: assuming that base station 102 has 64 transmit beams and UE 101 has 4 receive beams, base station 102 configures a periodic resource set (i.e., measurement resources) including 8 channel state information reference signals (CSI-RS). The beam tracking frequency / CSI-RS period is 20ms. In four periods, UE 101 uses four receive beams to receive 8 transmit beams, respectively, to obtain the layer 1 reference signal received power (L1-RSRP) of 32 beam pairs. L1-RSRP can be used to indicate signal strength. UE 101 then compares the L1-RSRP of these 32 beam pairs, selects the four beam pairs with the largest L1-RSRP, and reports their corresponding CSI-RS resource indicators (CRI) and L1-RSRP to base station 102. After receiving the CRI and L1-RSRP, base station 102 selects one of the CSI-RSs based on this information for communication with UE 101. The selection may be based on the beam pair with the largest L1-RSRP, because a larger L1-RSRP indicates that the beam pair has better signal quality and can provide better communication performance.

[0064] AI-based CSI prediction uses machine learning to learn and train large amounts of data to generate an AICSI prediction model for reporting channel state information. The model then uses the data from a measurement set (e.g., Set B) as input to predict the optimal beam in the full set (e.g., Set A).

[0065] Specifically, AI-based CSI prediction can be divided into two steps: beam pair prediction and transmit beam prediction. Performing beam pair prediction first, followed by transmit beam prediction, separates the prediction focus and reduces prediction complexity. Predicting the beam pair first provides information about the desired beam direction at the receiving end (e.g., UE 101), helping the transmitting end (e.g., base station 102) more accurately select the optimal transmit beam.

[0066] First, a larger dataset can be used for training. For example, the dataset contains millions of samples, each of which includes the true reference signal received power (RSRP) of all beam pairs (Set A) at a certain moment.

[0067] 1) Beam pair prediction:

[0068] In this step, the RSRP of some beam pairs (Set B) is used as the input of the model, the predicted RSRP of all beam pairs (Set A) is used as the output, and the true RSRP of all the above beam pairs (Set A) is used as the label.

[0069] During model training, the AI ​​model parameters are continuously updated using a gradient descent algorithm to reduce the error between the model output and the label (for example, this can be measured using the normalized mean square error (NMSE)). When the error is less than a set threshold, the model has converged and has good predictive capabilities. This means that the AI ​​model can be used to predict the RSRP of all beam pairs at any given time.

[0070] 2) Transmit beam prediction:

[0071] In this step, the RSRP of the transmit beams is predicted assuming the receive beams are known. The RSRP of a small number of transmit beams (Set B) is used as the input of the model, the predicted RSRP of all transmit beams (Set A) is used as the output, and the actual RSRP of all transmit beams (Set A) is used as the label.

[0072] During model training, we use the RSRP of all transmitted beams as the output label. Similarly, we can continuously update the parameters within the AI ​​model using a gradient descent algorithm to reduce the error between the model output and the label until the error is below a threshold.

[0073] In general, AI-based CSI prediction uses large-scale data sets for training, learns the correlation between beams through models such as neural networks, and uses gradient descent algorithms to continuously optimize model parameters, enabling it to accurately predict beam pairs and the RSRP of transmitted beams.

[0074] Specifically, the AI-based CSI prediction model can be seen in Figure 3 for a detailed introduction.

[0075] Figure 3 further illustrates an AICSI prediction model for a channel state information reporting method according to an embodiment of the present disclosure. As shown in Figure 3, data acquisition module 301 provides input data to model training module 302 and model prediction module 303, i.e., it acquires training data for model training and data to be predicted for model prediction.

[0076] In one embodiment of the present disclosure, the training data may be a set (Set A) of all 256 beam pairs scanned by the base station 102 in a short period of time to obtain the RSRP variation of different beam pairs over time. The scanning period of Set A may be relatively long. When the UE 101 is training, there is no need to report the measurement results; however, when the base station 102 is training, the measurement results need to be reported. These measurement results will be used to train the above-mentioned AI model to better predict the signal transmission between the base station 102 and the UE 101 and optimize the selection of beam pairs to improve communication quality and speed.

[0077] The model training module 302 performs training, testing, and validation of the AI ​​model, generating metrics for the AI ​​model's performance. For example, the model training module 302 can organize the training data provided by the data acquisition module 301 (including data cleaning, data formatting, data conversion, etc.). The model training module 302 can deploy / update the trained, tested, and validated AI model.

[0078] The model prediction module 303 generates outputs based on the predicted data provided by the data acquisition module 301. The outputs include predictions of the quality of experience for specific services and decisions used to optimize the quality of experience. Furthermore, the model prediction module 303 can provide model performance feedback to the model training module 302 to verify the performance of the AI ​​model.

[0079] In one embodiment of the present disclosure, the data to be predicted may be 8*4=32 CSI-RS reference signals (Set B) configured by base station 102. The reference signal period is 80ms. At each moment, UE 101 measures the L1-RSRP of 32 beam pairs. UE 101 uses the measured 32 L1-RSRPs as input data and predicts the L1-RSRP of 256 beam pairs based on the AI ​​model.

[0080] The control action module 304 initiates corresponding actions for the participants of a specific business based on the output received from the model prediction module 303 .

[0081] In one embodiment of the present disclosure, based on the predicted L1-RSRP of 256 beam pairs, the CRI and L1-RSRP of the K (K ≥ 1) beam pairs with the best RSRP are selected as the output of the AI ​​model. UE 101 reports these K outputs, and base station 102 instructs one of the beam pairs to communicate with UE 101 based on the received RSRP value and beam pair load. Furthermore, control action module 304 can provide feedback to data acquisition module 301 for training, testing, and verification of the AI ​​model.

[0082] In one embodiment of the present disclosure, after a period of use, the AI ​​model needs to collect data to monitor model performance. UE 101 scans all beam pairs (Set A) at a relatively large interval and compares the predicted optimal beam with the actual optimal beam among all beam pairs, calculating the error. When a model monitoring metric, such as beam prediction accuracy, falls below a preset threshold, indicating that the AI ​​model performance does not meet the requirements and the prediction accuracy is insufficient, a model update, switching, or fallback to the aforementioned traditional CSI tracking is triggered. The AI ​​model is also updated and optimized.

[0083] This concludes the introduction to traditional CSI tracking for the first type of CSI and AI-based CSI prediction for the second type of CSI.

[0084] Figure 4 is a flowchart further illustrating a method for reporting channel state information according to an embodiment of the present disclosure. The method for reporting channel state information according to an embodiment of the present disclosure shown in Figure 4 is performed by, for example, base station 102 described with reference to Figure 1. The method for reporting channel state information may include at least the following steps.

[0085] In step S401, a channel state information (CSI) report sent by a terminal device is received. The CSI report includes multiple CSIs, where the multiple CSIs include: at least one first-category CSI and / or at least one second-category CSI. Specifically, the first-category CSI and the second-category CSI are described in Figures 2 and 3 and are not repeated here.

[0086] The following will further describe CSI reporting in detail. The working principle of CSI reporting is that first, the base station 102 configures the appropriate CSI-RS resources for the UE 101, then the UE 101 measures the CSI-RS and calculates the required CSI, and finally reports it to the base station 102 via the physical uplink control channel PUCCH or the physical uplink shared channel PUSCH. The following CSI reporting will be divided into three parts:

[0087] 1. Reporting methods for Category 1 and Category 2 CSI;

[0088] 2. Quantization method of the first type of CSI and the second type of CSI;

[0089] 3. Drop rules for CSI reporting.

[0090] They will be introduced one by one below.

[0091] 1. Reporting methods for Category 1 and Category 2 CSI

[0092] As described above, UE 101 can report two types of CSI in one CSI report. Specifically, the CSI report includes N CSI, including N1 first-type CSI and N2 second-type CSI, where N=N1+N2. Each is described in detail below.

[0093] (1) Type I CSI

[0094] The above CSI report is at least associated with the resource configuration for channel measurement (first resource set), and the first resource set may include at least one of the following: non-zero power channel state information reference signal NZP CSI-RS resource and / or synchronization signal block SSB resource.

[0095] NZP CSI-RS (Non-Zero Power CSI Reference Signal) resource: A non-zero power channel state information reference signal resource used in LTE and 5G NR systems. It is used by UE 101 to measure CSI and provide feedback to base station 102. NZP CSI-RS resources include different CSI-RS ports and resource elements, which can be flexibly allocated based on the system configuration. UE 101 measures the strength and signal-to-noise ratio of the received NZP CSI-RS signal, as well as other relevant parameters, to assess channel quality and generate corresponding CSI feedback.

[0096] SSB (Synchronization Signal Block) resources: SSB resources are signal resources used in 5G NR systems for cell search, timing synchronization, and initial access. SSB resources consist of multiple SSB blocks, each with a unique SSB index. The UE 101 can assess the channel quality between different cells by measuring the strength and signal-to-noise ratio of received SSB signals. These measurement results are used to select the optimal cell and align beams, improving signal quality and system performance.

[0097] In general, by measuring NZP CSI-RS resources and SSB resources, UE 101 can obtain important parameters such as channel quality, interference, and cell information. These measurement results are used to generate CSI feedback, enabling the base station to perform more accurate beamforming, scheduling, and resource allocation, thereby improving network capacity and user experience.

[0098] Furthermore, the first type of CSI is determined based on the first resource set. The first type of CSI may include at least one of the following: CSI-RS reference signal power (CRI-RSRP), synchronization signal block index reference signal power (SSB-Index-RSRP), and CSI-RS reference signal signal-to-noise ratio (CRI-SIN) or synchronization signal block index signal-to-noise ratio (SSB-Index-SINR).

[0099] When the first type of CSI is CRI-RSRP, UE 101 reports N1 CRIs and N1 corresponding L1-RSRPs. In other words, UE 101 reports the received power level of each NZP CSI-RS resource to base station 102, where L1-RSRP can reflect the measured signal strength.

[0100] When the first type of CSI is SSB-Index-RSRP, UE 101 reports N1 SSB-Index and N1 corresponding L1-RSRP. In other words, UE 101 reports the received power level of each SSB to base station 102. UE 101 evaluates channel quality by measuring the L1-RSRP of the received SSB.

[0101] When the first type of CSI is CRI-SINR, UE 101 reports N1 CRIs and N1 corresponding L1-SINRs. In other words, UE 101 reports the signal to interference plus noise ratio (SINR) of each NZP CSI-RS resource to base station 102. L1-SINR is a measure of signal quality, representing the ratio of signal to interference plus noise.

[0102] When the first type of CSI is SSB-Index-SINR, UE 101 reports N1 SSB-Index and N1 corresponding L1-SINR. In other words, UE 101 reports the signal to interference plus noise ratio of each SSB to base station 102. By measuring the L1-SINR of the received SSB, UE 101 can assess channel quality and interference.

[0103] Optionally, when the above-mentioned first type of CSI is CRI-SINR or SSB-Index-SINR, the CSI report needs to be additionally associated with a third set of resources for interference measurement on the basis of being associated with the first resource set. The third set of resources may include channel state information interference measurement CSI-IM resources or NZPCSI-RS resources for interference measurement.

[0104] Among them, the CSI-IM resource is a specific resource used to measure the channel status and interference situation, and can provide more detailed channel status information.

[0105] (2) Second type of CSI

[0106] As mentioned above, the second type of CSI is obtained based on AI-based CSI prediction. Therefore, the CSI report needs to be associated with an additional second resource set, which can be used for the resource set indicated by the output result of the AI-based CSI prediction model, where the second resource set can include T resources (T ≥ 1).

[0107] Furthermore, the output result of the AI-based CSI prediction model is the channel obtained by the AI ​​model of UE101 based on the measured resources as the input of the AI ​​model, and the predicted resource index (i.e., beam index or reference signal index) output by the AI ​​model prediction.

[0108] Optionally, the output result may also include information such as RSRP and SINR corresponding to the predicted resources.

[0109] Furthermore, each of the N2 resource indexes reported by UE 101 may occupy log2T bits, where resource index = 0 corresponds to the first resource in the second resource set, and resource index = 1 corresponds to the second resource in the second resource set.

[0110] (3) Configuration of N1 and N2

[0111] N1 and N2 may be configured by the base station 102 or by the UE 101. Configuration methods include but are not limited to the following three:

[0112] 3.1. The base station 102 directly configures the number of N1 and N2 through RRC, and the UE 101 receives the configuration.

[0113] 3.2. The base station 102 configures a first parameter α (0≤α≤1) and a second parameter β (0≤β≤1) through RRC, and then calculates N1 and N2 based on α and β, where N1 = α * the number of the first resource set, and N2 = β * the number of the second resource set.

[0114] 3.3. UE101 directly determines the number of N1 and N2.

[0115] Specifically, N is configured to UE101 by base station 102 through RRC, and then UE101 additionally reports the number N1 in the CSI report (at this time, the number N2 is not reported), and then obtains N2 according to N2=N-N1, and UE101 can update the number N1 through the above indicator in each CSI report; or UE101 additionally reports the number N2 in the CSI report (at this time, the number N1 is not reported), and then obtains N1 according to N1=N-N2, and UE101 can update the number N2 through the above indicator in each CSI report.

[0116] The following takes the case where UE 101 additionally reports the number N1 in the CSI report as an example to describe the reporting method in detail:

[0117] Method 1:

[0118] N1∈{1,2,3,…N-1}. UE 101 indicates the number of N1 through an indicator occupying log2(N-1) bits. Codepoint=0 of the indicator corresponds to N1=1; codepoint=1 corresponds to N1=2, and so on.

[0119] Method 2:

[0120] N1∈{0,1,2,…N}. UE 101 indicates the number N1 through an indicator occupying log2(N+1) bits. Codepoint=0 of the indicator corresponds to N1=0; codepoint=1 corresponds to N1=1, and so on.

[0121] Similarly, the method for UE 101 to additionally report the number N2 in the CSI report is as described above and will not be repeated here.

[0122] 2. Quantization methods for the first and second types of CSI

[0123] The channel state is dynamic, and continuous CSI cannot be directly transmitted and processed. Therefore, CSI needs to be quantized. This involves converting the continuous wireless channel state into discrete numbers or symbols. This significantly reduces the amount of information required for transmission, thereby improving system transmission efficiency. Specific quantization methods include, but are not limited to, the following two.

[0124] 2.1 Independent Quantification

[0125] The first category CSI and the second category CSI are independently quantized. Specifically, the maximum L1-RSRP or L1-SINR among the N1 first category CSI and the N2 second category CSI is quantized using a first predetermined data size. Differential quantization is performed based on the respective maximum L1-RSRP or L1-SINR among the remaining N1-1 first category CSI and the remaining N2-1 second category CSI using a second predetermined data size.

[0126] In one embodiment of the present disclosure, the first predetermined data amount may be 7 bits, and the second predetermined data amount may be 4 bits. That is, the largest L1-RSRP or L1-SINR in the first type of CSI is quantized using 7 bits, and the remaining N1-1 L1-RSRPs or L1-SINRs in the first type of CSI are differentially quantized based on the aforementioned largest L1-RSRP or L1-SINR, occupying 4 bits. The same is true for the second type of CSI, where the largest L1-RSRP or L1-SINR is quantized using 7 bits, and the remaining N2-1 L1-RSRPs or L1-SINRs in the second type of CSI are differentially quantized based on the aforementioned largest L1-RSRP or L1-SINR, occupying 4 bits.

[0127] 2.2 Joint Quantization

[0128] The first type of CSI and the second type of CSI are jointly quantized. Specifically, the maximum L1-RSRP or L1-SINR among the N1 first type of CSI and the N2 second type of CSI is quantized using a first predetermined data amount; and the remaining CSI among the multiple CSIs is differentially quantized based on the maximum L1-RSRP or L1-SINR using a second predetermined data amount.

[0129] In one embodiment of the present disclosure, the first predetermined data amount may be 7 bits, and the second predetermined data amount may be 4 bits. That is, the largest L1-RSRP or L1-SINR among the N CSIs of the first and second types of CSI is quantized using 7 bits, and the remaining N-1 L1-RSRPs or L1-SINRs are differentially quantized based on the largest L1-RSRP or L1-SINR, occupying 4 bits.

[0130] 3. CSI reported discard rules

[0131] As described above, CSI is reported to the base station 102 via PUCCH or PUSCH. When the maximum payload that the PUCCH or PUSCH carrying the CSI report can carry is greater than or equal to the bits occupied by the above CSI, UE101 will upload the full CSI; when the maximum payload that the PUCCH or PUSCH carrying the CSI report can carry is less than the bits occupied by the above CSI (for example, when multiplexing of PUCCH and PUSCH occurs), UE101 needs to discard part of the above CSI, so it will formulate a drop rule for CSI reporting. The drop rule includes priority, which refers to the relative importance ranking corresponding to different CSI reports. CSI information with higher priority will be retained first, while CSI information with lower priority may be discarded. When CSI information of a certain priority is discarded, all CSI information of the same priority should be discarded. Specific discarding rules may include but are not limited to the following 4 types.

[0132] Discard rule 1:

[0133] Discard rule 2:

[0134] Discard rule 3:

[0135] Discard rule 4:

[0136] It should be noted that in the above discard rules 1 to 4:

[0137] N Rep is the number of CSI reports configured for this PUSCH;

[0138] Priority 0 is the highest priority, Priority N Rep is the lowest priority;

[0139] The positions of the first type of CSI and the second type of CSI in the above table can be swapped.

[0140] Furthermore, the mapping order of each CSI information in the CSI report can be as follows:

[0141] Mapping method 1:

[0142] CSI field mapping order for CRI / RSRP or SSBRI / RSRP reports:

[0143] CSI field mapping order for CRI / SINR or SSBRI / SINR reports:

[0144] Mapping method 2:

[0145] 2-1. Independent quantification of two types of CSI:

[0146] CSI field mapping order for CRI / RSRP or SSBRI / RSRP reports:

[0147] CSI field mapping order for CRI / SINR or SSBRI / SINR reports:

[0148] Mapping method 2:

[0149] 2-2. Joint quantization of two types of CSI:

[0150] CSI field mapping order for CRI / RSRP or SSBRI / RSRP reports:

[0151] CSI field mapping order for CRI / SINR or SSBRI / SINR reports:

[0152] It should be noted that the positions of the first type of CSI and the second type of CSI in all tables of the above mapping method 1 and mapping method 2 may also be swapped.

[0153] Figure 5 is a schematic diagram illustrating a device for reporting channel state information according to an embodiment of the present disclosure. The device for reporting channel state information shown in Figure 5 is applied to, for example, the UE 101 described with reference to Figure 1. The device for reporting channel state information 500 includes at least the following modules.

[0154] The reporting module 501 is configured for the terminal device to send a channel state information CSI report to the network device. The CSI report includes multiple CSIs, wherein the multiple CSIs include: at least one first-category CSI and / or at least one second-category CSI.

[0155] It may also include:

[0156] The first resource module 502 includes at least one of the following: a non-zero power channel state information reference signal NZP CSI-RS resource; and / or a synchronization signal block SSB resource.

[0157] The second resource module 503 is configured to determine a CSI prediction result.

[0158] The third resource module 504 includes at least one of the following: a channel state information interference measurement CSI-IM resource; and / or an NZP CSI-RS resource used for interference measurement.

[0159] The first determination module 505 is configured to determine a first type of CSI based on the first resource set and the third resource set. The first type of CSI includes at least one of the following: CSI-RS reference signal power (CRI-RSRP); synchronization signal block index reference signal power (SSB-Index-RSRP); CSI-RS reference signal signal-to-noise ratio (CRI-SINR); and synchronization signal block index signal-to-noise ratio (SSB-Index-SINR).

[0160] The second determining module 506 is configured to determine a second type of CSI based on the CSI prediction, wherein the second type of CSI includes at least: a reference signal index; and / or a reference signal received power (RSRP) or a signal to interference plus noise ratio (SINR) corresponding to the reference signal index.

[0161] The first quantity module 507 is used for the terminal device to receive the first type of CSI quantity and the second type of CSI quantity configured by the network device.

[0162] The second quantity module 508 is configured for the terminal device to receive the first parameter and the second parameter configured by the network device, and determine the first type CSI quantity and the second type CSI quantity based on the first parameter, the second parameter, the first resource set, and the second resource set.

[0163] The third quantity module 509 is used for the terminal device to receive the CSI quantity configured by the network device, and determine the second category CSI quantity or the other of the first category CSI quantities based on one of the first category CSI quantity or the second category CSI quantity in the CSI report.

[0164] The joint quantization module 510 is configured to perform quantization on the maximum L1-RSRP or L1-SINR among the multiple CSIs using a first predetermined data amount; and perform differential quantization on the other CSIs among the multiple CSIs based on the maximum L1-RSRP or L1-SINR using a second predetermined data amount.

[0165] An independent quantization module 511 is configured to perform quantization on the respective maximum L1-RSRP or L1-SINR of at least one first-category CSI and at least one second-category CSI using a first predetermined data amount; and perform differential quantization on the respective other CSIs of at least one first-category CSI and at least one second-category CSI based on the respective maximum L1-RSRP or L1-SINR using a second predetermined data amount.

[0166] Prioritization module 512 is configured to place some CSI in a CSI report on the PUCCH or PUSCH for transmission based on the priority of the CSI report, if the amount of data corresponding to multiple CSI reports exceeds the maximum payload of the physical uplink control channel (PUCCH) or physical uplink shared channel (PUSCH) for transmitting the CSI report. CSI with the same priority level is transmitted or discarded simultaneously.

[0167] Figure 6 is a schematic diagram further illustrating a channel state information reporting apparatus according to an embodiment of the present disclosure. The channel state information reporting apparatus shown in Figure 6 is applied to, for example, the base station 102 described with reference to Figure 1. The channel state information reporting apparatus 600 includes at least the following modules.

[0168] The receiving module 601 is configured to receive a channel state information CSI report sent by a terminal device, where the CSI report includes multiple CSIs, wherein the multiple CSIs include: at least one first type CSI and / or at least one second type CSI.

[0169] Among them, the first type of CSI is at least associated with a first resource set, the first resource set is used for channel measurement, and may include at least one of the following: non-zero power channel state information reference signal NZP CSI-RS resource; and / or synchronization signal block SSB resource.

[0170] The second type of CSI is associated with at least a second resource set, and the second resource set is used to determine the CSI prediction result.

[0171] Optionally, the first type of CSI is associated with at least a third resource set, and the third resource set includes: resources for interference measurement, which may include at least one of the following: channel state information interference measurement CSI-IM resources; and / or NZP CSI-RS resources for interference measurement.

[0172] Specifically, the first type of CSI may be determined based on the first resource set and the third resource set. The first type of CSI includes at least one of the following: CSI-RS reference signal power (CRI-RSRP); synchronization signal block index reference signal power (SSB-Index-RSRP); CSI-RS reference signal signal-to-noise ratio (CRI-SINR); and synchronization signal block index signal-to-noise ratio (SSB-Index-SINR).

[0173] The second type of CSI is determined based on the CSI prediction, wherein the second type of CSI includes at least: a reference signal index; and / or a reference signal received power RSRP or a signal to interference plus noise ratio SINR corresponding to the reference signal index.

[0174] Additionally, it may include:

[0175] The first quantity module 602 is configured to send the first type of CSI quantity and the second type of CSI quantity to the terminal device.

[0176] The second quantity module 603 is used to configure the first parameter and the second parameter, and determine the first type CSI quantity and the second type CSI quantity based on the first parameter, the second parameter, the first resource set, and the second resource set.

[0177] The third quantity module 604 is used to send the CSI quantity to the terminal device.

[0178] 7 is a hardware block diagram of a terminal device according to an embodiment of the present disclosure. The terminal device 700 includes a processor 701, a memory 702, and a communication interface 703. The processor 701, the memory 702, and the communication interface 703 are interconnected via a bus 704.

[0179] The communication interface 703 is used to perform wireless communication with the network device, and the communication interface 703 may be a communication chip.

[0180] The memory 702 is used to store computer-readable instructions. The memory 702 can be implemented by any type of volatile or non-volatile storage device or a combination thereof. The volatile memory may include, for example, random access memory (RAM) and / or cache memory. The non-volatile memory may include, for example, read-only memory (ROM), a hard disk, a flash memory, an optical disk, a magnetic disk, etc.

[0181] The processor 701 is configured to execute computer-readable instructions so that the terminal device 700 executes the channel state information reporting method as described above.

[0182] 8 is a hardware block diagram illustrating a network device according to an embodiment of the present disclosure. The network device 800 includes a processor 801, a memory 802, and a communication interface 803. The processor 801, the memory 802, and the communication interface 803 are interconnected via a bus 804.

[0183] The communication interface 803 is used to perform wireless communication with the terminal device, and the communication interface 803 can be a communication chip.

[0184] The memory 802 is used to store computer-readable instructions. The memory 802 can be implemented by any type of volatile or non-volatile storage device or a combination thereof. The volatile memory may include, for example, a random access memory (RAM) and / or a cache memory. The non-volatile memory may include, for example, a read-only memory (ROM), a hard disk, a flash memory, an optical disk, a magnetic disk, etc.

[0185] The processor 801 is configured to execute computer-readable instructions, so that the network device 800 executes the channel state information reporting method as described above.

[0186] FIG9 is a schematic diagram illustrating a computer-readable storage medium according to an embodiment of the present disclosure. As shown in FIG9 , a computer-readable storage medium 900 according to an embodiment of the present disclosure has computer-readable instructions 901 stored thereon. When computer-readable instructions 901 are executed by a processor, the method for reporting channel state information according to an embodiment of the present disclosure described with reference to the above figures is executed. The computer-readable storage medium includes, but is not limited to, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory. Non-volatile memory may include, for example, read-only memory (ROM), a hard disk, flash memory, an optical disk, a magnetic disk, etc.

[0187] The above describes the channel state information reporting method, device, and electronic device according to the embodiments of the present disclosure with reference to the accompanying drawings. According to the channel state information reporting method of the embodiments of the present disclosure, two different types of CSI are reported, one is obtained based on AI-based CSI prediction, and the other is obtained based on traditional CSI tracking. In the case of potential performance deterioration of the AI-based CSI prediction model, the base station is given sufficiently accurate and reliable beam quality information through traditional CSI tracking measurement and reporting, ensuring stable data transmission even when the AI ​​model performance fluctuates.

[0188] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this disclosure.

[0189] The basic principles of the present disclosure have been described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, and effects mentioned in this disclosure are merely illustrative and not restrictive, and should not be construed as necessarily possessed by each embodiment of the present disclosure. Furthermore, the specific details disclosed above are provided for illustrative purposes and to facilitate understanding, rather than as limitations. These details do not limit the present disclosure to necessarily being implemented using these specific details.

[0190] The block diagrams of the devices, devices, equipment, and systems involved in this disclosure are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As will be appreciated by those skilled in the art, these devices, devices, equipment, and systems can be connected, arranged, or configured in any manner. Words such as "include," "comprise," "have," and the like are open-ended words, meaning "including but not limited to," and can be used interchangeably therewith. The words "or" and "and" used herein refer to the words "and / or" and can be used interchangeably therewith, unless the context clearly indicates otherwise. The word "such as" used herein refers to the phrase "such as but not limited to," and can be used interchangeably therewith.

[0191] Additionally, as used herein, "or" used in a list of items beginning with "at least one" indicates a separate list, so that, for example, a list of "at least one of A, B, or C" means A or B or C, or AB or AC or BC, or ABC (i.e., A and B and C). Furthermore, the word "exemplary" does not mean that the example described is preferred or better than other examples.

[0192] It should also be noted that in the system and method of the present disclosure, each component or each step can be decomposed and / or recombined. Such decomposition and / or recombination should be regarded as equivalent solutions of the present disclosure.

[0193] Various changes, substitutions, and modifications may be made to the technology described herein without departing from the teachings defined by the appended claims. Moreover, the scope of the claims of this disclosure is not limited to the specific aspects of the processes, machines, manufactures, compositions of things, means, methods, and actions described above. Currently existing or later developed processes, machines, manufactures, compositions of things, means, methods, or actions that perform substantially the same function or achieve substantially the same results as the corresponding aspects described herein may be utilized. Accordingly, the appended claims include within their scope such processes, machines, manufactures, compositions of things, means, methods, or actions.

[0194] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of the present disclosure. Therefore, the present disclosure is not intended to be limited to the aspects shown herein, but rather to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0195] The above description has been provided for the purpose of illustration and description. In addition, this description is not intended to limit the embodiments of the present disclosure to the forms disclosed herein. Although a number of example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations thereof.

Claims

1. A method for reporting channel state information, applied to a terminal device, characterized in that: The method comprises: The terminal device sends a channel state information CSI report to the network device, where the CSI report includes multiple CSIs, wherein the multiple CSIs include: at least one first-type CSI and / or at least one second-type CSI.

2. The method for reporting channel state information according to claim 1, wherein: The first type of CSI is associated with at least a first resource set, and the first resource set is used for channel measurement.

3. The method for reporting channel state information according to claim 2, wherein: The first type of CSI is associated with at least a third resource set, and the third resource set includes: resources used for interference measurement.

4. The method for reporting channel state information according to claim 1, wherein: The first type of CSI is determined based on the first resource set and / or the third resource set.

5. The method for reporting channel state information according to claim 2 or 4, characterized in that: The first resource set includes at least one of the following: Non-zero power channel state information reference signal NZP CSI-RS resource; and / or synchronization signal block SSB resources.

6. The method for reporting channel state information according to claim 3 or 4, characterized in that: The third resource set includes at least one of the following: Channel state information interference measurement CSI-IM resources; and / or NZP CSI-RS resources for interference measurement.

7. The method for reporting channel state information according to any one of claims 1 to 6, wherein: The first type of CSI includes at least one of the following: CSI-RS resource indicator - reference signal received power CRI-RSRP; Synchronization signal block index-reference signal received power SSB-Index-RSRP; CSI-RS resource indicator - signal to interference and noise ratio CRI-SINR; Synchronization signal block index-signal to interference and noise ratio SSB-Index-SINR.

8. The method for reporting channel state information according to claim 1, wherein: The CSI is associated with at least a second resource set, and the second resource set is used to determine a CSI prediction result.

9. The method for reporting channel state information according to claim 8, wherein: The second type of CSI is determined based on the CSI prediction.

10. The method for reporting channel state information according to claim 8, wherein: The CSI prediction result includes at least: Reference signal index; and / or a reference signal received power RSRP or a signal to interference plus noise ratio SINR corresponding to the reference signal index.

11. The method for reporting channel state information according to any one of claims 1 to 10, wherein: The CSI report also includes: The number of the first type of CSI and / or the number of the second type of CSI.

12. The method for reporting channel state information according to claim 11, wherein: The method for determining the number of the first-category CSI and the number of the second-category CSI includes at least one of the following: The terminal device receives the first type of CSI quantity and the second type of CSI quantity configured by the network device; The terminal device receives the first parameter and the second parameter configured by the network device, and determines the number of the first type of CSI and the number of the second type of CSI based on the first parameter, the second parameter, the first resource set, and the second resource set.

13. The method for reporting channel state information according to any one of claims 1 to 12, wherein: The method further comprises: The multiple CSIs are quantized based on layer 1 reference signal received power L1-RSRP or layer 1 signal to interference plus noise ratio L1-SINR in the multiple CSIs.

14. The method for reporting channel state information according to claim 13, wherein: The quantification includes: quantizing the largest L1-RSRP or the largest L1-SINR among the plurality of CSIs using a first predetermined data amount; Differential quantization is performed on other CSIs among the plurality of CSIs using a second predetermined data amount based on the maximum L1-RSRP or the L1-SINR.

15. The method for reporting channel state information according to claim 13, wherein: The quantification includes: quantizing the respective maximum L1-RSRP or the L1-SINR of the at least one first-category CSI and the at least one second-category CSI using a first predetermined data amount; Differential quantization is performed on respective other CSIs in the at least one first-category CSI and the at least one second-category CSI using a second predetermined data amount based on the respective maximum L1-RSRP or the L1-SINR.

16. The method for reporting channel state information according to any one of claims 1 to 15, characterized in that: The method further comprises: When the amount of data corresponding to the multiple CSIs is less than or equal to the maximum load of the physical uplink control channel PUCCH or the physical uplink shared channel PUSCH for transmitting the CSI report, all CSI in the CSI report are placed in the PUCCH or the PUSCH for transmission based on the priority of the CSI report.

17. The method for reporting channel state information according to any one of claims 1 to 15, wherein: The method further comprises: When the amount of data corresponding to the multiple CSIs is greater than the maximum load of the physical uplink control channel PUCCH or the physical uplink shared channel PUSCH for transmitting the CSI report, part of the CSI in the CSI report is placed in the PUCCH or the PUSCH for transmission based on the priority of the CSI report.

18. The method for reporting channel state information according to claim 17, wherein: The placing, based on the priority of the CSI report, part of the CSI in the CSI report into the PUCCH or the PUSCH for transmission further includes: The CSIs of the same priority level are transmitted or discarded simultaneously.

19. A method for reporting channel state information, applied to a network device, characterized in that: The method comprises: A channel state information (CSI) report sent by a terminal device is received, where the CSI report includes a plurality of CSIs, wherein the plurality of CSIs include: at least one first-category CSI and / or at least one second-category CSI.

20. The method for reporting channel state information according to claim 19, wherein: The first type of CSI is associated with at least a first resource set, and the first resource set is used for channel measurement.

21. The method for reporting channel state information according to claim 19, wherein: The first type of CSI is associated with at least a third resource set, and the third resource set includes: resources used for interference measurement.

22. The method for reporting channel state information according to claim 19, wherein: The first type of CSI is determined based on the first resource set and / or the third resource set.

23. The method for reporting channel state information according to claim 20 or 22, wherein: The first resource set includes at least one of the following: Non-zero power channel state information reference signal NZP CSI-RS resource; and / or synchronization signal block SSB resources.

24. The method for reporting channel state information according to claim 21 or 22, wherein: The third resource set includes at least one of the following: Channel state information interference measurement CSI-IM resources; and / or NZP CSI-RS resources for interference measurement.

25. The method for reporting channel state information according to any one of claims 19 to 24, wherein: The first type of CSI includes at least one of the following: CSI-RS resource indicator - reference signal received power CRI-RSRP; Synchronization signal block index-reference signal received power SSB-Index-RSRP; CSI-RS resource indicator - signal to interference and noise ratio CRI-SINR; Synchronization signal block index-signal to interference and noise ratio SSB-Index-SINR.

26. The method for reporting channel state information according to claim 19, wherein: The CSI is associated with at least a second resource set, and the second resource set is used to determine a CSI prediction result.

27. The method for reporting channel state information according to claim 26, wherein: The second type of CSI is determined based on the CSI prediction.

28. The method for reporting channel state information according to claim 26, wherein: The CSI prediction result includes at least: Reference signal index; and / or a reference signal received power RSRP or a signal to interference plus noise ratio SINR corresponding to the reference signal index.

29. The method for reporting channel state information according to claim 19, wherein: The CSI report also includes: The number of the first type of CSI and / or the number of the second type of CSI.

30. The method for reporting channel state information according to claim 29, wherein: The method for determining the number of the first-category CSI and the number of the second-category CSI includes at least one of the following: The network device sends the first type of CSI quantity and the second type of CSI quantity to the terminal device; The network device configures a first parameter and a second parameter, and determines the number of the first type of CSI and the number of the second type of CSI based on the first parameter, the second parameter, the first resource set, and the second resource set.

31. A channel state information reporting device, applied to a terminal device, characterized in that: The device comprises: The reporting module is used for the terminal device to send a CSI report to the network device, where the CSI report includes multiple channel state information CSIs, wherein the multiple CSIs include: at least one first type CSI and / or at least one second type CSI.

32. A channel state information reporting device, applied to a network device, characterized in that: The device comprises: The receiving module is used to receive a channel state information CSI report sent by a terminal device, where the CSI report includes multiple CSIs, wherein the multiple CSIs include: at least one first type CSI and / or at least one second type CSI.

33. A terminal device, characterized in that: include: a communication interface configured to perform wireless communication with a network device; a memory for storing computer-readable instructions; as well as A processor, configured to run the computer-readable instructions so that the terminal device executes the channel state information reporting method according to any one of claims 1 to 18.

34. A network device, characterized in that: include: a communication interface configured to perform wireless communication with a terminal device; a memory for storing computer-readable instructions; as well as A processor is configured to execute the computer-readable instructions so that the network device executes the channel state information reporting method according to any one of claims 19 to 30.

35. A non-transitory computer-readable storage medium for storing computer-readable instructions, characterized in that: When the computer-readable instructions are executed by a processor, the processor is caused to perform the channel state information reporting method according to any one of claims 1 to 30.

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