Communication methods and communication devices

Abstract

Provided are communication methods and communication devices. A communication method comprises: a terminal device receives DCI sent by a network device, the DCI being used for triggering aperiodic channel state information (CSI) reporting, and the DCI being used for indicating a plurality of aperiodic reference signal resources or a plurality of aperiodic reference signal resource sets; on the basis of each of the aperiodic reference signal resources or each of the aperiodic reference signal resource sets, the terminal device respectively performs performance monitoring once, so as to determine statistical performance monitoring results; and the terminal device performs aperiodic CSI reporting, reporting information of the aperiodic CSI reporting comprising the statistical performance monitoring results.

Description

Communication methods and communication equipment Technical Field

[0001] This application relates to the field of communication technology, and more specifically, to a communication method and communication device. Background Technology

[0002] In related technologies, network devices can send channel state information (CSI) reporting configurations to terminal devices to instruct a first CSI report for the terminal device to provide feedback on the inference-based CSI. Simultaneously, the network device can send another CSI reporting configuration to the terminal device to instruct a second CSI report for the terminal device to perform performance monitoring on the inference and report the monitoring results. These two CSI reports can utilize independent CSI measurement and CSI reporting resources.

[0003] However, the accuracy of a single inference attempt has a degree of randomness, so the result of a single performance monitoring session is insufficient to determine the performance of the inference process. Performing multiple performance monitoring sessions requires multiple CSI reporting processes, significantly reducing the efficiency of performance monitoring. Summary of the Invention

[0004] This application provides a communication method and a communication device. The various aspects covered by this application are described below.

[0005] In a first aspect, a communication method is provided, comprising: a terminal device receiving downlink control information (DCI) sent by a network device, wherein the DCI is used to trigger aperiodic channel state information (CSI) reporting, and the DCI is used to indicate multiple aperiodic reference signal resources or multiple sets of aperiodic reference signal resources; the terminal device performing performance monitoring once based on each of the aperiodic reference signal resources or each set of aperiodic reference signal resources, and determining statistical performance monitoring results; the terminal device performing the aperiodic CSI reporting, wherein the reporting information of the aperiodic CSI reporting includes the statistical performance monitoring results.

[0006] Secondly, a communication method is provided, comprising: a network device sending a DCI to a terminal device, the DCI being used to trigger aperiodic channel state information (CSI) reporting, and the DCI being used to indicate multiple aperiodic reference signal resources or multiple sets of aperiodic reference signal resources; the network device receiving reporting information from the aperiodic CSI reporting, the reporting information including statistical performance monitoring results, the statistical performance monitoring results including statistical values ​​of performance monitoring results corresponding to the multiple aperiodic reference signal resources respectively, or the statistical performance monitoring results including statistical values ​​of performance monitoring results corresponding to the multiple sets of aperiodic reference signal resources respectively.

[0007] Thirdly, a communication device is provided, which is a terminal device. The terminal device includes: a communication module for receiving a DCI sent by a network device, wherein the DCI is used to trigger aperiodic channel state information (CSI) reporting, and the DCI is used to indicate multiple aperiodic reference signal resources or multiple sets of aperiodic reference signal resources; and a processing module for performing performance monitoring once based on each of the aperiodic reference signal resources or each set of aperiodic reference signal resources, and determining statistical performance monitoring results; wherein the communication module is also used to perform the aperiodic CSI reporting, and the reporting information of the aperiodic CSI reporting includes the statistical performance monitoring results.

[0008] Fourthly, a communication device is provided, the communication device being a network device, the network device comprising: a communication module, configured to send downlink control information (DCI) to a terminal device, the DCI being configured to trigger aperiodic channel state information (CSI) reporting, and the DCI being configured to indicate multiple aperiodic reference signal resources or multiple sets of aperiodic reference signal resources; and receiving reporting information from the aperiodic CSI reporting, the reporting information including statistical performance monitoring results, the statistical performance monitoring results including statistical values ​​of performance monitoring results corresponding to the multiple aperiodic reference signal resources respectively, or the statistical performance monitoring results including statistical values ​​of performance monitoring results corresponding to the multiple sets of aperiodic reference signal resources respectively.

[0009] Fifthly, a communication device is provided, including a transceiver, a memory, and a processor, wherein the memory is used to store a program, the processor is used to invoke the program in the memory, and to control the transceiver to receive or transmit signals, so that the communication device performs the method as described in the first or second aspect.

[0010] A sixth aspect provides an apparatus including a processor for calling a program from a memory to cause the apparatus to perform the method as described in the first or second aspect.

[0011] A seventh aspect provides a chip including a processor for calling a program from memory, causing a device on which the chip is mounted to perform the method as described in the first or second aspect.

[0012] Eighthly, a computer-readable storage medium is provided having a program stored thereon that causes a computer to perform the method as described in the first or second aspect.

[0013] Ninth aspect, a computer program product is provided, characterized in that it includes a program that causes a computer to perform the method as described in the first or second aspect.

[0014] In a tenth aspect, a computer program is provided that causes a computer to perform the method as described in the first or second aspect.

[0015] This application embodiment triggers an aperiodic CSI report via DCI, and uses the DCI to indicate multiple reference signal resources or sets of reference signal resources, enabling the terminal device to perform multiple performance monitoring based on these multiple reference signal resources or sets of reference signal resources. In this way, the network device can obtain statistical results from multiple performance monitoring by triggering only one aperiodic CSI report, which not only improves the reliability of performance monitoring but also significantly increases its efficiency. Attached Figure Description

[0016] Figure 1 is a system architecture example diagram of a wireless communication system applicable to embodiments of this application.

[0017] Figure 2 is an example diagram of the CSI reporting method.

[0018] Figure 3 is an example diagram of the reasoning-based CSI feedback process.

[0019] Figure 4 is an example diagram of the CSI inference process.

[0020] Figure 5 is a flowchart illustrating the communication method provided in an embodiment of this application.

[0021] Figure 6 is an example diagram showing the time-domain location of multiple channel state information reference signal (CSI-RS) resources provided in the embodiments of this application.

[0022] Figure 7 is another example diagram of the time-domain location of multiple CSI-RS resources provided in the embodiments of this application.

[0023] Figure 8 is an example diagram of the time-domain location of multiple CSI-RS resource sets provided in the embodiments of this application.

[0024] Figure 9 is another example diagram of the temporal location of multiple CSI-RS resource sets provided in the embodiments of this application.

[0025] Figure 10 is another example of the temporal location of multiple CSI-RS resource sets provided in the embodiments of this application.

[0026] Figure 11 is a schematic diagram of the structure of the communication device provided in the embodiment of this application.

[0027] Figure 12 is another structural schematic diagram of the communication device provided in an embodiment of this application.

[0028] Figure 13 is a schematic diagram of an apparatus applicable to embodiments of this application. Detailed Implementation

[0029] The technical solutions in this application will now be described with reference to the accompanying drawings.

[0030] Communication system

[0031] Figure 1 is a system architecture example diagram of a wireless communication system 100 applicable to embodiments of this application. The wireless communication system 100 may include a network device 110 and a terminal device 120. The network device 110 may be a device that communicates with the terminal device 120. The network device 110 can provide network coverage for a specific geographical area and can communicate with the terminal device 120 located within that coverage area. The terminal device 120 can access a network (such as a wireless network) through the network device 110. Optionally, the wireless communication system 100 may also include other network entities such as a network controller and a mobility management entity; this embodiment of the application does not limit this.

[0032] It should be understood that the technical solutions of the embodiments of this application can be applied to various communication systems, such as 5G systems or new radio (NR), long term evolution (LTE) systems, LTE frequency division duplex (FDD) systems, LTE time division duplex (TDD) systems, etc. The technical solutions provided in this application can also be applied to future communication systems, such as sixth-generation mobile communication systems, satellite communication systems, and so on.

[0033] The terminal device in this application embodiment can also be referred to as user equipment (UE), access terminal, user unit, user station, mobile station, mobile station (MS), mobile terminal (MT), remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent, or user device. The terminal device in this application embodiment can be a device that provides voice and / or data connectivity to a user, and can be used to connect people, objects, and machines, such as a handheld device with wireless connectivity, vehicle-mounted device, etc. The terminal devices in the embodiments of this application can be mobile phones, tablets, laptops, PDAs, mobile internet devices (MIDs), wearable devices, virtual reality (VR) devices, augmented reality (AR) devices, wireless terminals in industrial control, self-driving, remote medical surgery, smart grids, transportation safety, smart cities, and smart homes, etc. Optionally, the terminal device can act as a base station. For example, the terminal device can act as a scheduling entity, providing sidelink signals between terminal devices in vehicle-to-everything (V2X) or device-to-device (D2D) systems. For instance, cellular phones and cars communicate with each other using sidelink signals. Cellular phones and smart home devices communicate without relaying communication signals through base stations.

[0034] The network device in this application embodiment can be a device for communicating with terminal devices. This network device can be, for example, an access network device or a wireless access network device. For instance, the network device can be a base station. The term "base station" can broadly encompass various names, or be replaced by, the following: NodeB, evolved NodeB (eNB), next-generation NodeB (gNB), relay station, access point, transmitting and receiving point (TRP), transmitting point (TP), home base station, network controller, access node, wireless node, access point (AP), transmission node, transceiver node, baseband unit (BBU), remote radio unit (RRU), active antenna unit (AAU), remote radio head (RRH), central unit (CU), distributed unit (DU), positioning node, etc. A base station can be a macro base station, micro base station, relay node, donor node, or the like, or a combination thereof.

[0035] Downlink CSI Feedback

[0036] To enable network devices to perform reasonable scheduling, terminal devices need to report downlink CSI (Content Status Indicator) information. This allows the network devices to determine the terminal device's scheduling information, such as the transmission layer number, precoding matrix, transmit beam, and modulation / coding scheme. Terminal device CSI reporting is based on the CSI reporting configuration indicated by the network device and the channel state information reference signal (CSI-RS) transmitted by the network device. The uplink resources used by the terminal device for CSI reporting and the CSI-RS signal used for CSI measurement are both indicated by the CSI reporting configuration. Each CSI reporting configuration corresponds to one CSI report, and each CSI report can include different information such as the CSI-RS resource indicator (CRI), rank indicator (RI), precoding matrix indicator (PMI), and channel quality indicator (CQI). This information is obtained based on the CSI-RS signal configured and transmitted by the network device. The content or information that should be included in the CSI report can be determined by the report quantity information in the CSI reporting configuration. For example, the reporting volume information can indicate one or more of the following reporting volumes:

[0037] Among them, CRI is used to determine the CSI-RS resource currently used for channel measurement and the interference measurement resource (IMR) currently used for interference measurement from multiple CSI-RS resources; RI is used to report the recommended number of transmission layers; PMI is used to determine the recommended precoding matrix from a predefined codebook; CQI is used to report the current channel quality; Reference signal receiving power (RSRP) is used to report the synchronization signal block (SSB) or RSRP of the CSI-RS corresponding to the fed-out index, so as to determine the beam used for downlink transmission on the network side; and Layer indicator (LI) is used to report the index of the transmission layer associated with the phase-tracking reference signal (PTRS).

[0038] In the aforementioned reported quantities, RI, PMI, and CQI can be determined based on the signal-to-interference plus noise ratio (SINR) estimated by the terminal. The channel component of SINR is determined based on the non-zero power CSI-RS configured by the network device for channel measurement, while the interference component is determined based on CSI interference measurement (CSI-IM) or a non-zero power CSI-RS configured by the network device for interference measurement. The CSI-RS resource used for channel measurement can include multiple antenna ports, and this CSI-RS resource can be used to measure the complete downlink channel to calculate the CSI.

[0039] Terminal devices can report CSI in three ways: periodic CSI, semi-periodic CSI, and aperiodic CSI, as shown in Figure 2. Periodic CSI is transmitted on the physical uplink control channel (PUCCH), and its CSI reporting configuration is configured by radio resource control (RRC). After receiving the corresponding RRC configuration, the terminal device periodically reports CSI. Semi-periodic CSI can be transmitted on the PUCCH or the physical uplink shared channel (PUSCH). The CSI reporting configuration corresponding to CSI transmitted on the PUCCH is pre-configured by RRC signaling and activated or deactivated by media access control (MAC) layer signaling. The CSI reporting configuration corresponding to CSI transmitted on the PUSCH is dynamically indicated (activated or deactivated) by downlink control information (DCI) signaling. After receiving activation or indication signaling from the network configuration, the terminal device periodically transmits CSI on the PUCCH or PUSCH until it receives deactivation signaling and stops reporting. The CSI reporting configuration for non-periodic CSI reporting is also pre-configured via RRC signaling. Part of the configuration can be activated via MAC layer signaling, and the CSI reporting configuration used for CSI reporting can be indicated via CSI trigger signaling in the DCI. Upon receiving the CSI trigger signaling, the terminal device can report the corresponding CSI on the scheduled PUSCH in one go according to the indicated CSI reporting configuration.

[0040] Reasoning-based CSI Feedback

[0041] Artificial intelligence (AI) technology, especially deep learning, has achieved tremendous success in computer vision and natural language processing. Therefore, the communications field has begun to explore using deep learning to solve technical challenges that traditional communication methods struggle with. The neural network architecture commonly used in deep learning is non-linear and data-driven, capable of extracting features from actual channel matrix data and reconstructing the compressed channel matrix information from the terminal device as accurately as possible on the network device side. This not only ensures accurate channel information reproduction but also reduces CSI feedback overhead on the terminal device side. Deep learning-based CSI feedback treats channel information as an image to be compressed, using a deep learning autoencoder to compress the input channel information and then reconstructing the compressed channel image at the receiving end, thus preserving channel information to a greater extent.

[0042] One basic implementation framework for reasoning-based CSI feedback is described below. This framework employs an AI-based CSI autoencoder, dividing the entire feedback system into an encoder and a decoder, deployed on the terminal device and network device sides respectively. After obtaining channel information through channel estimation, the terminal device uses this information as input to the encoder. The encoder's neural network then compresses and encodes the channel information matrix, feeding the compressed bitstream back to the network device via an air interface feedback link. The network device, through the decoder, reconstructs the channel information based on the feedback bitstream and outputs complete feedback channel information. The neural networks of the encoder and decoder shown in Figure 3 can employ deep neural networks (DNNs) composed of multiple fully connected layers, convolutional neural networks (CNNs) composed of multiple convolutional layers, recurrent neural networks (RNNs) with structures such as long short-term memory (LSTM) and gated recurrent units (GRUs), or various neural network architectures such as residual and self-attention mechanisms to improve the performance of the encoder and decoder.

[0043] Inference-based CSI feedback can also be deployed solely on the terminal device side, reducing reliance on dual-end models. For example, as shown in Figure 4, the terminal device can obtain channel information corresponding to N antenna ports based on channel information from M antenna ports and a trained AI model, where N>M, thereby reducing reference signal overhead. In another application scenario, the terminal device can predict channel information corresponding to multiple future time points based on channel information from previous time points and a trained AI model, thus reducing CSI latency. In these scenarios, the AI ​​model only needs to be deployed on the terminal device side; therefore, the terminal device can also use some optimized traditional methods to implement the AI ​​model's functionality, thus avoiding the model lifecycle management (LCM) process. For example, the terminal device can generate filter coefficients, calculate the correlation matrix used for interpolation, and implement the AI ​​model's functionality using traditional filters or interpolation functions.

[0044] In reasoning-based CSI feedback, regardless of whether AI technology is used, the terminal device needs to perform a reasoning process to acquire CSI. For example, in Figure 4, channel information for N antenna ports is inferred from channel information of M antenna ports, and channel information for k subsequent time points is inferred from channel information of m previous time points. To ensure the reliability of this reasoning, performance monitoring is required. The terminal device compares the actually measured channel information with the inferred results to determine the accuracy of the reasoning process. If the two are consistent or have a high similarity, the reasoning is reliable; otherwise, the reasoning is unreliable, and the terminal device needs to update the AI ​​model, filter, or interpolation function used for reasoning to improve its accuracy. For example, the network device can send a CSI-RS resource for N antenna ports for performance monitoring. The terminal device then compares the measured channel information of N antenna ports with the channel information of N antenna ports inferred from the channel information of M antenna ports, determines the reliability of the reasoning based on the calculated cosine similarity (such as squared generalized cosine similarity (SGCS)), and reports the performance monitoring results.

[0045] In related technologies, network devices can configure CSI reporting as follows: a first CSI report is used by terminal devices to provide feedback on CSI obtained based on inference. Simultaneously, network devices can configure CSI reporting as follows: a second CSI report is used by terminal devices to perform performance monitoring on the inference and report the performance monitoring results. These two CSI reports can utilize independent CSI measurement and CSI reporting resources.

[0046] However, the accuracy of a single inference attempt has a degree of randomness, and the result of a single performance monitoring test is insufficient to determine the performance of the inference process. Performing multiple performance monitoring tests requires multiple CSI reporting processes, significantly reducing the efficiency of performance monitoring.

[0047] To address the aforementioned issues, the embodiments of this application will be described in detail below with reference to Figure 5.

[0048] Figure 5 is a schematic flowchart of the communication method provided in an embodiment of this application. The method in Figure 5 is described from the perspective of the interaction between the terminal device and the network device. The terminal device and network device shown in Figure 5 can be any type of terminal device and network device mentioned above (see Figure 1).

[0049] Referring to Figure 5, in step S510, the network device sends a DCI to the terminal device. Correspondingly, the terminal device receives the DCI sent by the network device. This DCI is used to trigger aperiodic CSI reporting, and it also indicates reference signal resources capable of supporting multiple performance monitoring. These reference signal resources may include, for example, one or more of the following: CSI-RS resources and / or CSI-IM resources. In some implementations, the DCI can be used to indicate multiple aperiodic reference signal resources, each used to perform one performance monitoring. In other implementations, the DCI can be used to indicate multiple sets of aperiodic reference signal resources, each used to perform one performance monitoring. For example, the multiple reference signal resources or sets of reference signal resources indicated by the DCI can be used for multiple CSI predictions and / or multiple beam predictions. The CSI prediction mentioned here can be frequency-domain CSI prediction or time-domain CSI prediction, or it can be a CSI prediction corresponding to a reference signal resource port (or antenna port).

[0050] In step S520, the terminal device performs performance monitoring once for each aperiodic reference signal resource and determines the statistical performance monitoring result. Alternatively, the terminal device performs performance monitoring once for each set of aperiodic reference signal resources and determines the statistical performance monitoring result. For example, if the DCI indicates X aperiodic reference signal resources, then X performance monitoring operations can be performed based on these X aperiodic reference signal resources, and then the statistical performance monitoring result (such as the average of the X performance monitoring results or the percentage of the X performance monitoring results that meet preset requirements) can be determined based on the monitoring results of these X performance monitoring operations. Similarly, if the DCI indicates X sets of aperiodic reference signal resources, then X performance monitoring operations can be performed based on these X sets of aperiodic reference signal resources, and then the statistical performance monitoring result (such as the average of the X performance monitoring results or the percentage of the X performance monitoring results that meet preset requirements) can be determined based on the monitoring results of these X performance monitoring operations.

[0051] In step S530, the terminal device performs aperiodic CSI reporting. The reported information in the aperiodic CSI report includes statistical performance monitoring results. Before performing aperiodic CSI reporting, the terminal device can first receive the corresponding CSI reporting configuration from the network device. This CSI reporting configuration may include, for example, identification information, which can be used to determine the AI ​​model, function, or filter corresponding to the performance monitoring. For example, the identification information can be a model identifier, used to indicate the AI ​​model corresponding to the performance monitoring. Alternatively, the identification information can be a function identifier, used to determine the AI ​​model or function that implements the corresponding function. Alternatively, the identification information can be a dataset identifier, which can be used to determine the AI ​​model or function trained on the corresponding dataset. The correspondence between the identification information and the corresponding AI model, function, or function can be pre-agreed between the terminal device and the network device, or configured by the network device for the terminal device, or reported by the terminal device to the network device. The terminal device can perform inference based on the determined AI model, function, or function, and compare the inference results with labels to perform performance monitoring. Based on the above identification information, the terminal device can determine which AI model, function, or feature the performance monitoring triggered by the network device is targeting, and thus perform performance monitoring on the AI ​​model, function, or feature that needs to be monitored.

[0052] In some implementations, the CSI reporting configuration corresponding to non-periodic CSI reporting may include reporting quantity information. This reporting quantity information can instruct the non-periodic CSI reporting to be used for reporting performance monitoring results, or it can instruct the non-periodic CSI reporting to be used for reporting both performance monitoring results and measured CSI. For example, when the reporting quantity information indicates a first reporting quantity, the non-periodic CSI reporting is used for reporting performance monitoring results; when the reporting quantity information indicates a second reporting quantity, the non-periodic CSI reporting is used for reporting both performance monitoring results and measured CSI, in which case the terminal device simultaneously reports both performance monitoring results and the measured CSI.

[0053] As described above, this embodiment of the application triggers an aperiodic CSI report via DCI, and uses the DCI to instruct multiple reference signal resources or sets of reference signal resources, enabling the terminal device to perform multiple performance monitoring operations based on these multiple reference signal resources or sets of reference signal resources. In this way, the network device can obtain statistical results from multiple performance monitoring operations by triggering only one aperiodic CSI report, which not only improves the reliability of performance monitoring but also significantly increases its efficiency.

[0054] The embodiments of this application will be illustrated in more detail below, taking DCI as an example of multiple aperiodic reference signal resources and multiple sets of aperiodic reference signal resources.

[0055] Example 1: DCI indicates multiple aperiodic reference signal resources

[0056] The aperiodic reference signal resources mentioned in Embodiment 1 may include, for example, aperiodic CSI-RS resources and / or aperiodic CSI-IM resources.

[0057] The time-domain interval between these multiple aperiodic reference signal resources can be determined based on the indication information of the network device, or it can be determined in other ways (such as based on protocol predefined information).

[0058] In some implementations, the time-domain interval between the multiple aperiodic reference signal resources can refer to the time-domain interval between two adjacent aperiodic reference signal resources (such as the orthogonal frequency division multiplexing (OFDM) symbol interval or time slot interval). The time-domain interval between these multiple aperiodic reference signal resources is equally spaced. For example, the time-domain interval between the multiple aperiodic reference signal resources can be the time slot interval of the time slots containing the multiple aperiodic reference signal resources. The network device can indicate this time slot interval from a pre-agreed candidate value and indicate this time interval to the terminal device through the corresponding CSI reporting configuration in aperiodic CSI reporting.

[0059] In some implementations, multiple aperiodic reference signal resources are configured with the same reference signal resource across different time slots. That is, network devices can configure only the parameters of one reference signal resource (including OFDM location, frequency domain resources, sequence, etc.) while configuring at least one time slot offset. Correspondingly, terminal devices can receive the same reference signal resource within the same physical resources of the corresponding target time slot. This method reduces the configuration of reference signal resources, thereby saving on higher-layer signaling overhead.

[0060] Alternatively, in one implementation, the network device can be configured with multiple time slot offsets, each offset corresponding to a target time slot location, and each target time slot location corresponding to a reference signal resource. For example, the network device can be configured with time slot offsets {1,2,4,8}, where the four time slot offsets correspond to four time slot locations, and the four time slot locations include four CSI-RS resources, as shown in Figure 6.

[0061] Alternatively, in another implementation, the network device can configure a time slot offset and simultaneously indicate the number of repetitions or quantities of aperiodic reference signal resources in the CSI reporting configuration. Accordingly, the terminal device can determine multiple equally spaced target time slots based on this time slot offset and quantity, thereby determining the resource locations of multiple aperiodic reference signal resources, as shown in Figure 7 (in the example of Figure 7, the aperiodic reference signal resource is a CSI-RS resource, and the time slot interval is 2). This method can reduce the configuration of time slot offsets, thereby saving overhead on higher-layer signaling.

[0062] Alternatively, in another implementation, the multiple aperiodic reference signal resources are different reference signal resources on the same time slot. That is, the multiple aperiodic reference signal resources are independently configured aperiodic reference signal resources, and different reference signal resources can occupy different time-frequency resources. These multiple aperiodic reference signal resources can use the same time slot offset, therefore, a single time slot offset can be configured for all of these multiple aperiodic reference signal resources.

[0063] Alternatively, in another implementation, multiple aperiodic reference signal resources are independently configured aperiodic reference signal resources, and each reference signal resource can be configured with an independent time slot offset, or occupy equally spaced time slots (in which case only one time slot offset needs to be configured). In this case, the multiple aperiodic reference signal resources can be located in the same time slot or in different time slots. This method can increase the flexibility of resource configuration, thereby reducing scheduling constraints on the network device side.

[0064] In this embodiment, multiple aperiodic reference signal resources can be quasi-co-located. For example, multiple aperiodic reference signal resources can be transmitted by network devices using the same transmission and receiving point (TRP) and / or the same beam. Quasi-co-location among multiple aperiodic reference signal resources can make the statistical results of multiple performance monitoring more accurate.

[0065] As mentioned in steps S520-S530 above, the terminal device can perform performance monitoring once for each aperiodic reference signal resource and report the statistical performance monitoring results back to the network device via aperiodic CSI. The implementation of these two steps will be illustrated in more detail below.

[0066] In some implementations, the terminal device performs a performance monitoring exercise for each aperiodic reference signal resource, which may include the following process: for each aperiodic reference signal resource, the terminal device obtains an inference result based on measurements on a portion of the ports and / or a portion of the bandwidth; then, the terminal device obtains a tag based on measurements on all ports and / or all bandwidths; finally, the terminal device determines a performance monitoring result based on the inference result and the tag. It should be understood that the ports and / or bandwidth mentioned here refer to the ports and / or bandwidth corresponding to the aperiodic reference signal resource.

[0067] In one implementation, for each aperiodic reference signal resource, the terminal device infers second channel information based on measured first channel information, and determines a performance monitoring result based on the second channel information and measured third channel information. The first channel information refers to channel information measured on a portion of the ports and / or a portion of the bandwidth of the aperiodic reference signal resource; the second channel information refers to channel information corresponding to all ports and / or all bandwidths of the aperiodic reference signal resource; and the third channel information refers to channel information measured on all ports and / or all bandwidths of the aperiodic reference signal resource. It should be understood that the ports and / or bandwidth mentioned here refer to the ports and / or bandwidth corresponding to the aperiodic reference signal resource.

[0068] The first, second, and third channel information mentioned above can be the same type of channel information. For example, the first, second, and third channel information can all be channel matrices, channel eigenvectors, or channel covariance matrices.

[0069] The inference process and results mentioned above can be based on an AI model, function, or feature (which can be configured by CSI; see previous text for details). The terminal device can input channel information measured on a portion of the ports and / or a portion of the bandwidth into the AI ​​model, function, or feature, thereby outputting channel information as the inference result. Then, the terminal device can use channel information measured on all ports and / or all bandwidth as tags, compare them with the inference result, and thus output a performance monitoring result.

[0070] As an example, suppose each aperiodic reference signal resource contains 128 antenna ports. The first channel information is the channel matrix measured based on 32 of these antenna ports. The second channel information is the channel matrix corresponding to the 128 antenna ports, inferred from the first channel information and a pre-determined AI model. The third channel information is the channel matrix measured based on all 128 ports of each aperiodic reference signal resource. By comparing the inferred channel matrix of the 128 ports with the measured channel matrix of the 128 ports, the terminal device can obtain a performance monitoring result (such as SGCS).

[0071] As another example, suppose each aperiodic reference signal resource contains 19 sub-bands. The first channel information is the channel matrix measured based on four of these sub-bands. The second channel information is the channel matrix corresponding to the 19 sub-bands inferred based on the first channel information and a pre-determined AI model. The third channel information is the channel matrix measured based on all 19 sub-bands of each aperiodic reference signal resource. The terminal device can obtain a performance monitoring result (such as SGCS) by comparing the inferred channel matrix of the 19 sub-bands with the measured channel matrix of the 19 sub-bands. It should be understood that this scheme can be combined with the previous scheme (antenna port scheme) to simultaneously monitor the inference performance of channel information on both sub-bands and ports.

[0072] The performance monitoring results mentioned above may include channel similarity indicators (such as SGCS, correlation coefficient, etc.) and / or indications of whether inference performance meets the requirements. The embodiments of this application do not specifically limit the definition of performance monitoring results.

[0073] Furthermore, the statistical performance monitoring results mentioned above can include statistical values ​​of performance monitoring results corresponding to multiple aperiodic reference signal resources. For example, the statistical performance monitoring results may include one or more of the following: the average value of the channel similarity index, the percentage or number of times the channel similarity index is higher than the first threshold, the percentage or number of times the channel similarity index is lower than the first threshold, and an indication of whether the inference performance meets the requirements.

[0074] For example, the statistical performance monitoring results are the average of multiple channel similarity indices calculated from multiple aperiodic reference signal resources (such as the average value of SGCS), or the ratio or number of times that the multiple channel similarity indices are higher than the first threshold (such as the number or ratio of times SGCS is higher than 0.8), or the ratio or number of times that the multiple channel similarity indices are lower than the first threshold (such as the number or ratio of times SGCS is lower than 0.8), or the quantified value of the above results.

[0075] For example, statistical performance monitoring results can also indicate whether inference performance meets requirements. This indication can be provided by one or more bits, allowing network devices to determine whether the corresponding AI model used for inference remains reliable (whether it meets specific performance requirements). The criteria or thresholds for judging whether inference performance meets requirements can be determined by the terminal device itself, indicated by the network device to the terminal device, or agreed upon in advance by both parties in a protocol. Examples include: the average value of the channel similarity index being higher than threshold X; the percentage of channel similarity indices exceeding the first threshold being higher than threshold Y; the percentage of inference results matching the label being higher than threshold T; and the percentage of inference results not matching the label being lower than threshold Z.

[0076] In addition to statistical performance monitoring results, in some implementations, aperiodic CSI reporting may also include the first CSI measured on a portion of the aperiodic reference signal resources.

[0077] For example, when the CSI reporting configuration corresponding to the non-periodic CSI reporting includes reporting quantity information, and the reporting quantity information indicates the second reporting quantity (for details on the first and second reporting quantities, please refer to the description above), the non-periodic CSI reporting is used for reporting performance monitoring results and measured CSI. At this time, the terminal device needs to report both the performance monitoring results and the measured CSI.

[0078] In one implementation, the first CSI is the most recent (or latest) channel information used as a performance monitoring tag. For example, the first CSI can be the CSI measured based on the latest reference signal resource among multiple aperiodic reference signal resources; further, the first CSI is the CSI corresponding to the channel information obtained based on that aperiodic reference signal resource (which is used as a tag during performance monitoring). This first CSI can be the CSI corresponding to the complete antenna port and / or complete bandwidth of that aperiodic reference signal resource.

[0079] In one implementation, statistical performance monitoring results have a higher priority than the first CSI. That is, when non-periodic CSI reporting requires CSI omission, the lower-priority first CSI is discarded first, followed by the higher-priority statistical performance monitoring results. Furthermore, statistical performance monitoring results can also have a higher priority than traditional CSI reporting.

[0080] In one implementation, the statistical performance monitoring results are reused in CSI part 1 of the first CSI before being reported. That is, the statistical performance monitoring results are reused in CSI part 1 of the first CSI before being reported. In this implementation, the statistical performance monitoring results can use a fixed feedback signaling overhead.

[0081] In another implementation, the statistical performance monitoring results are part of CSI section 1 of the first CSI.

[0082] In another implementation, the statistical performance monitoring results can be reused in the broadband information of the first CSI for reporting. That is, when the first CSI contains broadband information and subband information, the statistical performance monitoring results are reused with the broadband information therein before being reported.

[0083] In another implementation, the statistical performance monitoring results are part of the broadband information of the first CSI.

[0084] During aperiodic CSI reporting, the terminal device can determine the number of activated reference signal resources to ascertain whether the total number of currently activated resources exceeds the maximum number of activations supported by the terminal device. In one implementation, the number of activated reference signal resources corresponding to the aperiodic CSI reporting is the number N of multiple aperiodic reference signal resources. In another implementation, the number of activated reference signal resources corresponding to the CSI reporting is twice the number N of multiple aperiodic reference signal resources, i.e., 2N. That is, since each reference signal resource measures channel information on both a portion of the ports and / or a portion of the bandwidth, and also measures channel information on all ports and / or all bandwidths, it is equivalent to measuring channel information twice; therefore, each resource can be considered activated twice.

[0085] In one implementation, during aperiodic CSI reporting, the number of CSI processing units occupied by the aperiodic CSI report is N times the number of CSI processing units occupied by a single performance monitoring operation, where N is the number of multiple aperiodic reference signal resources. That is, if the terminal device requires O CSI processing units to perform performance monitoring based on one aperiodic reference signal resource, then the number of CSI processing units occupied by the CSI report is O*N. Based on this calculation method, the terminal device can perform corresponding performance monitoring on multiple resources simultaneously, thereby reducing the time required for CSI calculation and lowering the reporting latency of performance monitoring results.

[0086] In one implementation, if the interval between the last OFDM symbol of multiple aperiodic reference signal resources and the first OFDM symbol of the PUSCH carrying aperiodic CSI reporting is less than a second threshold, the terminal device does not send an aperiodic CSI report. The second threshold can be calculated based on Z', where Z' is the processing time (in OFDM symbols) required for the terminal device to perform one performance monitoring operation. This ensures that the terminal device has sufficient time to calculate the performance monitoring results.

[0087] In one implementation, after receiving the statistical performance monitoring results, the network device can determine whether to continue requiring the terminal device to report inference-based CSI, or to use the traditional CSI calculation method, based on the statistical performance monitoring results. Alternatively, the network device can determine whether to require the terminal device to update the AI ​​model, functionality, or function used for inference, based on the statistical performance monitoring results.

[0088] Example 2: DCI indicates multiple sets of aperiodic reference signal resources

[0089] In this embodiment, the aperiodic reference signal resource set may include an aperiodic CSI-RS resource set and / or an aperiodic CSI-IM resource set, etc.

[0090] The time-domain interval between these multiple sets of aperiodic reference signal resources can be determined based on the indication information of the network device, or it can be determined in other ways (such as based on protocol predefined information).

[0091] In some implementations, the time-domain interval between the multiple aperiodic reference signal resource sets can be the time-domain interval between two adjacent resource sets (such as OFDM symbol interval or time slot interval), that is, the time interval between the multiple aperiodic reference signal resource sets is equal.

[0092] For example, the time interval can be the time slot interval of multiple resource sets located in the same time slot. This time slot interval can be indicated to the terminal device by the network device through the corresponding CSI reporting configuration in aperiodic CSI reporting. The network device can indicate the time slot interval from a pre-agreed candidate value. For example, to reduce latency, the time slot interval can be limited to {1, 2} or {1, 2, ..., 10}, where 1 indicates that resource sets are in adjacent (or consecutive) time slots, 2 indicates an interval of one time slot between them, and so on.

[0093] In one implementation, multiple aperiodic reference signal resource sets are identical reference signal resource sets on different time slots. For example, a network device can configure only the parameters of one reference signal resource set (including OFDM location, frequency domain resources, sequence, etc.) and configure at least one time slot offset. The terminal device receives the same reference signal resource set in the same physical resources on the corresponding target time slot. This method can reduce the configuration of reference signal resource sets, thereby saving the overhead of higher-layer signaling.

[0094] Alternatively, in one implementation, the network device can be configured with multiple time slot offsets, each offset corresponding to a target time slot location, and each target time slot location corresponding to an aperiodic reference signal resource set. For example, the network device can be configured with time slot offsets {1,2,4,8}, where the four time slot offsets correspond to four time slot locations, and these four time slot locations include four CSI-RS resource sets, as shown in Figure 8.

[0095] Alternatively, in another implementation, the network device can configure a time slot interval or time slot offset, and simultaneously indicate the number of repetitions or the quantity of the aperiodic reference signal resource set in the CSI reporting configuration. Accordingly, the terminal device can determine multiple target time slots based on the time slot interval and quantity, thereby determining multiple aperiodic reference signal resource sets, as shown in Figure 9. This method can reduce the configuration of time slot offsets, thereby saving the overhead of higher-layer signaling.

[0096] Alternatively, in another implementation, the multiple aperiodic reference signal resource sets are independently configured aperiodic reference signal resource sets. That is, the network device configures the parameters of each aperiodic reference signal resource set separately, and different reference signal resource sets can occupy different time-frequency resources. For example, each reference signal resource set can correspond to an independent time slot offset, or occupy equally spaced time slots (requiring only one time slot interval), as shown in Figure 10. This method increases the flexibility of resource configuration, thereby reducing scheduling constraints on the network device side.

[0097] In this embodiment, the multiple aperiodic reference signal resource sets are quasi-co-located. For example, the multiple aperiodic reference signal resource sets are transmitted by the network device using the same TRP and / or the same beam. Quasi-co-location among the multiple aperiodic reference signal resource sets can make the statistical results of multiple performance monitoring more accurate.

[0098] As mentioned in steps S520-S530 above, the terminal device can perform performance monitoring once for each aperiodic reference signal resource set, and report the statistical performance monitoring results back to the network device through aperiodic CSI. The implementation of these two steps will be illustrated in more detail below.

[0099] In some implementations, the terminal device can perform performance monitoring once for each set of aperiodic reference signal resources, which may include the following process: for each set of aperiodic reference signal resources, the terminal device obtains inference results based on M resources and obtains labels based on K resources, thereby calculating performance monitoring results, where M and K are integers greater than or equal to 1 and the M resources and K resources are different.

[0100] In one implementation, for each resource set, the terminal device infers fifth channel information based on fourth channel information measured on M resources, and calculates performance monitoring results based on the fifth channel information and sixth channel information measured on K resources. The first configuration corresponding to the fourth channel information and the fifth channel information is different, while the first configuration corresponding to the fifth channel information and the sixth channel information is the same. The first configuration includes at least one of time-domain resources, frequency-domain resources, beams, and ports.

[0101] The fourth, fifth, and sixth channel information mentioned above can be of the same type. For example, they can all be channel matrices, channel eigenvectors, channel covariance matrices, RSRP measurements, optimal reference signal resource indices, etc. Alternatively, the fourth channel information can be different types of channel information from the fifth and sixth channel information. For example, the fourth channel information could be an RSRP measurement, while the fifth and sixth channel information could be optimal reference signal resource indices.

[0102] The inference process and results mentioned above are based on an AI model, function, or feature (which can be configured via CSI reports; see previous text for details). The terminal device can input channel information measured on M resources into the AI ​​model, function, or feature, and output channel information as the inference result. Then, the terminal device can use channel information measured on K resources as tags, compare them with the inference result, and output a performance monitoring result. This performance monitoring result can be a channel similarity index (e.g., SGCS, RSRP difference, correlation coefficient, etc.) or an indication of whether the inference result matches the tag.

[0103] In one implementation, the K resources mentioned above are K additional resources that are different from the M resources. For example, each set of aperiodic reference signal resources contains N = M + K resources, where M resources are used to obtain inference results and the other K resources are used to obtain tags.

[0104] Alternatively, in another implementation, the K resources mentioned above comprise M resources. For example, each set of aperiodic reference signal resources comprises K resources, where M resources are used to obtain inference results and all K resources are used to obtain tags.

[0105] Furthermore, the statistical performance monitoring results mentioned above can include statistical values ​​of performance monitoring results corresponding to multiple aperiodic reference signal resource sets. For example, the statistical performance monitoring results may include one or more of the following: the average value of the channel similarity index, the ratio or number of times the channel similarity index is higher than the first threshold, the ratio or number of times the channel similarity index is lower than the first threshold, the ratio or number of times the inference result matches the label, the ratio or number of times the inference result does not match the label, and an indication of whether the inference performance meets the requirements.

[0106] For example, when the performance monitoring result is channel similarity, the statistical performance monitoring result can be the average value of the channel similarity index, the ratio or number of times the channel similarity index is higher than the first threshold, the ratio or number of times the channel similarity index is lower than the first threshold, or an indication of whether the inference performance meets the requirements.

[0107] For example, when the performance monitoring result is whether the inference result is consistent with the label, the statistical performance monitoring result is the ratio or number of times the inference result is consistent with the label, the ratio or number of times the inference result is inconsistent with the label, or an indication of whether the inference performance meets the requirements.

[0108] For example, statistical performance monitoring results can also indicate whether inference performance meets requirements. This indication can be provided by one or more bits, allowing network devices to determine whether the corresponding AI model used for inference remains reliable (whether it meets specific performance requirements). The criteria or thresholds for judging whether inference performance meets requirements can be determined by the terminal device itself, indicated by the network device to the terminal device, or agreed upon in advance by both parties in a protocol. Examples include: the average value of the channel similarity index being higher than threshold X; the percentage of channel similarity indices exceeding the first threshold being higher than threshold Y; the percentage of inference results matching the label being higher than threshold T; and the percentage of inference results not matching the label being lower than threshold Z.

[0109] In addition to statistical performance monitoring results, in some implementations, aperiodic CSI reporting may also include the first CSI measured on a portion of the resource set in the aperiodic reference signal resource set.

[0110] For example, when the CSI reporting configuration corresponding to aperiodic CSI reporting includes reporting quantity information, and the reporting quantity information indicates a second reporting quantity (details of the first and second reporting quantities can be found in the preceding description), aperiodic CSI reporting is used for reporting performance monitoring results and measured CSI. In this case, the terminal device needs to report both the performance monitoring results and the measured CSI. Based on this method, network devices can obtain both the required performance monitoring results and the latest target CSI for downlink scheduling, thereby improving downlink transmission performance.

[0111] In one implementation, the first CSI is the CSI corresponding to the most recent (or latest) channel information used as a performance monitoring tag. For example, the first CSI is the CSI measured based on the latest reference signal resource set among multiple reference signal resource sets; further, the first CSI is the CSI corresponding to channel information measured based on K resources (this channel information is used as a tag during performance monitoring). The first CSI can be, for example, the CSI corresponding to the complete antenna port, the CSI corresponding to the complete bandwidth, the CSI at a predicted future time, the beam index at a predicted future time, the predicted optimal beam index, etc.

[0112] In one implementation, statistical performance monitoring results have a higher priority than the first CSI. That is, when non-periodic CSI reporting requires CSI omission, the lower-priority first CSI is discarded first, followed by the higher-priority statistical performance monitoring results. Furthermore, the priority of statistical performance monitoring results can also be higher than that of traditional CSI reporting.

[0113] In one implementation, the statistical performance monitoring results are reused in CSI part 1 of the first CSI before being reported. That is, the statistical performance monitoring results are reused in CSI part 1 of the first CSI before being reported, wherein the statistical performance monitoring results use a fixed feedback signaling overhead.

[0114] In another implementation, the statistical performance monitoring results are part of CSI section 1 of the first CSI.

[0115] In another implementation, the statistical performance monitoring results are reused in the broadband information of the first CSI before being reported. That is, when the first CSI contains broadband information and subband information, the statistical performance monitoring results are reused in conjunction with the broadband information before being reported.

[0116] In another implementation, the statistical performance monitoring results are part of the broadband information of the first CSI.

[0117] During aperiodic CSI reporting, the terminal device can determine the number of activated reference signal resources to ascertain whether the total number of currently activated resources exceeds the maximum number of activations supported by the terminal device. The number of activated reference signal resources corresponding to the CSI report can, for example, be the total number of reference signal resources contained in multiple aperiodic reference signal resource sets.

[0118] In one implementation, the number of CSI processing units used for CSI reporting can be N times the number of CSI processing units used for a single performance monitoring operation, where N is the number of multiple aperiodic reference signal resource sets. That is, if a terminal device needs O CSI processing units to perform performance monitoring based on one aperiodic reference signal resource set, then the number of CSI processing units used for CSI reporting is O*N. Based on this calculation method, the terminal device can perform corresponding performance monitoring on multiple resource sets simultaneously, thereby reducing the time required for CSI calculation and lowering the reporting latency of performance monitoring results.

[0119] In one implementation, if the interval between the last OFDM symbol of a plurality of aperiodic reference signal resource sets and the first OFDM symbol of the PUSCH carrying aperiodic CSI reporting is less than a second threshold value, the terminal device does not send an aperiodic CSI report. The second threshold value is calculated based on Z', where Z' is the processing time (in OFDM symbols) required by the terminal device to perform one performance monitoring operation. This ensures that the terminal device has sufficient time to calculate the performance monitoring results.

[0120] In one implementation, after receiving the statistical performance monitoring results, the network device can determine whether to continue requiring the terminal device to report inference-based CSI, or to use the traditional CSI calculation method, based on the statistical performance monitoring results. Alternatively, the network device can determine whether to require the terminal device to update the AI ​​model, functionality, or function used for inference, based on the statistical performance monitoring results.

[0121] The following describes Embodiment 2 in more detail, using CSI prediction and beam prediction as examples. It should be noted that the examples below are merely to help those skilled in the art understand the embodiments of this application, and are not intended to limit the embodiments of this application to the specific numerical values ​​or scenarios illustrated. Those skilled in the art can obviously make various equivalent modifications or variations based on the examples given below, and such modifications or variations also fall within the scope of the embodiments of this application.

[0122] Example 1: DCI is used to indicate multiple sets of reference signal resources, and these multiple sets of reference signal resources are used for CSI prediction.

[0123] In this example, the network device sends a DCI (Digital Indicator Code) to trigger aperiodic CSI reporting. The DCI also indicates multiple sets of aperiodic reference signal resources. Correspondingly, the terminal device receives the DCI sent by the network device to trigger aperiodic CSI reporting. This DCI also indicates multiple sets of aperiodic reference signal resources.

[0124] In this example, the aperiodic reference signal resource set is an aperiodic CSI-RS resource set, and each set contains multiple CSI-RS resources. For example, the slot interval between multiple aperiodic CSI-RS resource sets is indicated to the terminal device by the network device. The time domain interval is the slot offset of the time slots in which the multiple resource sets are located, and is indicated to the terminal device through the corresponding CSI reporting configuration in aperiodic CSI reporting. The time domain interval can be the slot interval between two adjacent resource sets, that is, the time slots occupied by multiple resource sets are equally spaced.

[0125] These multiple aperiodic CSI-RS resource sets can be independently configured. In other words, the network device configures the parameters of the reference signal resource set for each of the multiple aperiodic CSI-RS resource sets, and different reference signal resource sets can occupy different time-frequency resources in a given time slot.

[0126] In this example, the multiple aperiodic CSI-RS resource sets are quasi-co-located. That is, the CSI-RS resources contained in the multiple aperiodic CSI-RS resource sets are all transmitted by the network devices using the same TRP and / or the same beam, thereby ensuring that the CSI predictions or CSI recovery results obtained from different performance monitoring can be statistically analyzed together.

[0127] Terminal devices can perform performance monitoring once for each non-periodic CSI-RS resource set and report the statistical performance monitoring results back to network devices through non-periodic CSI.

[0128] In some implementations, the CSI reporting configuration corresponding to non-periodic CSI reporting includes identification information. This identification information is used to determine the AI ​​model, function, or filter corresponding to the performance monitoring. For example, the identification information is a model identifier, used to indicate the AI ​​model corresponding to the performance monitoring. In this embodiment, the AI ​​model is used to implement time-domain CSI prediction, port-level CSI recovery, or frequency-domain CSI recovery.

[0129] The correspondence between this identification information and the AI ​​model can be configured by the network device for the terminal device. Accordingly, the terminal device can perform inference based on the determined AI model to obtain the predicted or recovered CSI, compare it with the actually measured CSI, and thus obtain the performance monitoring results. Based on this identification information, the terminal device can determine which AI model the triggered performance monitoring is for, and thus perform performance monitoring separately for each AI model that requires monitoring.

[0130] In some implementations, the CSI reporting configuration corresponding to non-periodic CSI reporting includes reporting quantity information. The reporting quantity information indicates whether non-periodic CSI reporting is used for reporting performance monitoring results and measurement CSI. For example, when the reporting quantity information indicates the second reporting quantity, non-periodic CSI reporting is used for reporting performance monitoring results and measurement CSI. In this case, the terminal device needs to report both the performance monitoring results and the measured CSI.

[0131] In some implementations, each set of aperiodic reference signal resources can contain N = M + K CSI-RS resources. For each resource set, the terminal device can infer the fifth channel information based on the fourth channel information measured on M of the resources and the aforementioned determined AI model, and calculate the performance monitoring result based on the fifth channel information and the sixth channel information measured on the other K resources.

[0132] For time-domain CSI prediction, the time-domain resources corresponding to the fourth and fifth channel information are different, while the time-domain resources corresponding to the fifth and sixth channel information are the same. Here, M > 1 and K >= 1, where M CSI-RS resources are used to measure channel information at M different times, and K CSI-RS resources are used to measure channel information at the prediction time. In this case, the fourth channel information represents the channel information at M different times, the fifth channel information represents the predicted channel information at K different times, and the sixth channel information represents the measured channel information at K different times. The channel information here can be a channel matrix or a channel eigenvector (matrix).

[0133] For frequency-domain CSI recovery, the frequency domain resources corresponding to the fourth and fifth channel information are different, while the frequency domain resources corresponding to the fifth and sixth channel information are the same. Here, M = K = 1, meaning the frequency domain resources occupied by the M CSI-RS resources are different from those occupied by the other K CSI-RS resources. In this case, the fourth channel information represents channel information for a portion of the sub-bands, the fifth channel information represents channel information for other sub-bands or all sub-bands, and the sixth channel information represents channel information for other or all sub-bands measured. The channel information here can be a channel matrix or a channel eigenvector (matrix).

[0134] For CSI recovery of a port, the antenna ports corresponding to the fourth and fifth channel information are different, while the antenna ports corresponding to the fifth and sixth channel information are the same. Here, M = K = 1, meaning the antenna ports corresponding to the M CSI-RS resources are different from those corresponding to the K other CSI-RS resources. In this case, the fourth channel information represents the channel information for some ports, the fifth channel information represents the channel information for other ports or all ports, and the sixth channel information represents the channel information for the measured other ports or all ports. The channel information here can be a channel matrix or a channel eigenvector (matrix).

[0135] Furthermore, the terminal device uses the channel information measured on K resources as labels, compares it with the inferred channel information, and outputs performance monitoring results. Specifically, the performance monitoring results here are channel similarity indicators such as SGCS. For example, the terminal device calculates the corresponding SGCS based on the inferred channel matrix and the measured channel matrix as the channel similarity indicator; or, the terminal device calculates the corresponding SGCS based on the inferred channel feature vector and the measured channel feature vector as the channel similarity indicator.

[0136] The statistical performance monitoring results mentioned above can include statistical values ​​of performance monitoring results corresponding to multiple aperiodic CSI-RS resource sets. For example, the statistical performance monitoring results can be the average value of multiple channel similarity indicators (such as the average value of SGCS) calculated for multiple aperiodic CSI-RS resource sets, or the ratio or frequency of multiple channel similarity indicators that are higher than the first threshold (such as the frequency or ratio of SGCS higher than 0.8), or the ratio or frequency of multiple channel similarity indicators that are lower than the first threshold (such as the frequency or ratio of SGCS lower than 0.8), or the quantified values ​​of the above results.

[0137] Furthermore, in some implementations, the statistical performance monitoring results can also serve as an indication of whether the inference performance meets the requirements. This indication can be provided using 1 bit of information, allowing the network device to determine whether the corresponding AI model used for inference remains reliable (whether it meets specific performance requirements). The criteria or threshold for determining whether the inference performance meets the requirements can be determined by the terminal device itself, indicated by the network device to the terminal device, or pre-agreed upon by both parties in a protocol. For example, if the average of multiple channel similarity indicators obtained from performance monitoring is higher than a third threshold (e.g., 0.85), the terminal considers the inference performance to meet the requirements; otherwise, it considers it not to meet the requirements. As another example, if the percentage of multiple channel similarity indicators obtained from performance monitoring that are higher than the first threshold (e.g., 0.85) is higher than the fourth threshold (80%), the terminal considers the inference performance to meet the requirements; otherwise, it considers it not to meet the requirements.

[0138] In some implementations, aperiodic CSI reporting also includes a first CSI measured on a subset of resources within the aperiodic CSI-RS resource set. This first CSI can, for example, be the CSI corresponding to the most recent channel information used as a performance monitoring tag. Exemplarily, the first CSI is the CSI measured on the last (time-most recent) CSI-RS resource set among multiple CSI-RS resource sets. Further, the first CSI is the CSI corresponding to channel information used as a tag, measured on K resources within it. For example, for time-domain CSI prediction, the first CSI is the CSI measured at the prediction time; for frequency-domain CSI recovery, the first CSI is the CSI measured over the full bandwidth; for port CSI recovery, the first CSI is the CSI measured over the entire port.

[0139] In some implementations, statistical performance monitoring results have higher priority than the first CSI report. That is, when non-periodic CSI reports require CSI omission, the lower-priority first CSI report is discarded first, followed by the higher-priority statistical performance monitoring results. Furthermore, statistical performance monitoring results can also have higher priority than traditional CSI reports. In other words, during CSI omission, the lower-priority traditional CSI reports are discarded first, followed by the higher-priority statistical performance monitoring results.

[0140] When the first CSI is divided into CSI Part 1 and CSI Part 2, the statistical performance monitoring results can be reused in CSI Part 1 of the first CSI for reporting. That is, the statistical performance monitoring results are reused with CSI Part 1 of the first CSI before being reported, and the statistical performance monitoring results use a fixed feedback signaling overhead.

[0141] Alternatively, when the first CSI includes both broadband and subband information, the statistical performance monitoring results are reused from the broadband information in the first CSI before being reported. In other words, when the first CSI includes both broadband and subband information, the statistical performance monitoring results are reused from the broadband information before being reported.

[0142] During CSI reporting, the terminal device can determine the number of active CSI-RS resources to ascertain whether the total number of currently active resources exceeds the maximum number of active resources supported by the terminal device. For example, the number of active CSI-RS resources corresponding to a CSI report can be the total number of CSI-RS resources contained in multiple non-periodic CSI-RS resource sets. If the total number of currently active resources exceeds the maximum number of active resources supported by the terminal device, the terminal device does not need to process / measure additional CSI-RS resources.

[0143] During CSI reporting, if a terminal device needs to occupy O CSI processing units for performance monitoring based on a non-periodic CSI-RS resource set, and the number of multiple non-periodic CSI-RS resource sets is N, then the number of CSI processing units occupied by CSI reporting can be O*N.

[0144] In some implementations, if the interval between the last OFDM symbol of multiple aperiodic CSI-RS resource sets and the first OFDM symbol of the PUSCH carrying aperiodic CSI reports is less than a second threshold, the terminal device will not send an aperiodic CSI report. The second threshold is calculated based on Z', where Z' is the processing time (in OFDM symbols) required for the terminal device to perform one performance monitoring operation. This timeframe can be reported to the network device through the terminal's capabilities, ensuring sufficient processing time for the terminal device during network device scheduling.

[0145] When a terminal device performs aperiodic CSI reporting, the network device can receive the aperiodic CSI report sent by the terminal device, which includes statistical performance monitoring results. Furthermore, in some implementations, the network device can determine, based on the statistical performance monitoring results, whether to continue allowing the terminal device to report CSI based on the AI ​​model, or to revert to the traditional CSI calculation method. Alternatively, the network device can determine, based on the statistical performance monitoring results, whether to allow the terminal device to update the AI ​​model used for inference, or whether to instruct the terminal device to use a different AI model.

[0146] Example 2: DCI is used to indicate multiple sets of reference signal resources, and these multiple sets of reference signal resources are used for beam prediction.

[0147] In this example, the network device sends a DCI (Distributed Control Information) to trigger aperiodic CSI (Continuous Signaling Indication) reporting. The DCI also indicates multiple sets of aperiodic reference signal resources. Accordingly, the terminal device receives the DCI sent by the network device to trigger aperiodic CSI reporting.

[0148] In this example, the set of aperiodic reference signal resources can be a set of aperiodic CSI-RS resources, where each set can contain multiple CSI-RS resources.

[0149] These multiple aperiodic CSI-RS resource sets can be independently configured. In other words, the network device configures the parameters (including time slot offset) of the CSI-RS resource sets for each of the multiple aperiodic CSI-RS resource sets, and different CSI-RS resource sets can occupy different time-frequency resources in independently configured time slots.

[0150] In some implementations, these multiple aperiodic CSI-RS resource sets can be quasi-co-located. That is, CSI-RS resources with the same index in multiple aperiodic CSI-RS resource sets are quasi-co-located, meaning the network device uses the same beam to transmit these resources, thus ensuring that the beam prediction results from different performance monitoring sessions are consistent and can be statistically analyzed together. For example, the first CSI-RS resources in multiple aperiodic CSI-RS resource sets are quasi-co-located, the second CSI-RS resources are also quasi-co-located, and so on.

[0151] After receiving the DCI, the terminal device can perform a performance monitoring once based on each non-periodic CSI-RS resource set, and report the statistical performance monitoring results back to the network device through non-periodic CSI.

[0152] In some implementations, the CSI reporting configuration corresponding to the aperiodic CSI report may include identification information. This identification information can be used to identify the AI ​​model, function, or filter corresponding to the performance monitoring. For example, this identification information could be a dataset identifier. This dataset indicates that the AI ​​model trained on the corresponding dataset can be used to determine its suitability. In this example, the AI ​​model can be used to implement beam prediction in the spatial or temporal domains.

[0153] The correspondence between identification information and AI models can be reported by the terminal device to the network device, allowing the network device to know the currently indicated AI model. The terminal device can then perform inference based on the determined AI model to obtain predicted beam information, which is compared with the actual measured beam information to obtain performance monitoring results.

[0154] Based on the above identification information, the terminal device can determine which AI model the performance monitoring is triggered for, and then perform performance monitoring separately for each AI model that needs to be monitored.

[0155] In some implementations, the CSI reporting configuration corresponding to non-periodic CSI reporting may include reporting volume information. The reporting volume information indicates that non-periodic CSI reporting is used for reporting performance monitoring results. When the reporting volume information indicates the first reporting volume, non-periodic CSI reporting is used for reporting performance monitoring results.

[0156] In one implementation, each aperiodic reference signal resource set contains N = K + M CSI-RS resources. For each resource set, the terminal device infers fifth channel information based on fourth channel information measured on M of the resources and the aforementioned determined AI model, and calculates performance monitoring results based on the fifth channel information and sixth channel information measured on the other K resources. Here, M and K are integers greater than or equal to 1.

[0157] In some embodiments, the N = K + M CSI-RS resources may also be configured as two CSI-RS resource subsets, including M and K CSI-RS resources respectively.

[0158] It should be noted that for beam prediction, the fourth channel information may be the RSRP measurement value, and the fifth and sixth channel information are the optimal CSI-RS resource index (CRI) and / or the RSRP value corresponding to the optimal CRI.

[0159] For spatial beam prediction, the beams corresponding to the fourth channel information and the fifth channel information are different, and the beams corresponding to the fifth channel information and the sixth channel information are the same. For example, when M>1 and K>1, the M CSI-RS resources are used to measure the RSRP of M different beams, so as to infer the optimal beam (optimal CSI-RS resource index) in another beam set, and the K CSI-RS resources are used to measure the RSRP of the predicted K different beams, so as to obtain the optimal CSI-RS resource index (CRI) and / or the RSRP value corresponding to the optimal CRI. By comparing the inferred result with the actually measured result, the terminal device can obtain the corresponding performance monitoring result.

[0160] For time-domain beam prediction, the time-domain resources (time) corresponding to the fourth channel information and the fifth channel information are different, and the time-domain resources (time) corresponding to the fifth channel information and the sixth channel information are the same. Specifically, when M>1 and K>1, the M CSI-RS resources are used to measure the RSRP of different beams at multiple moments, so as to infer the optimal beam (optimal CSI-RS resource index) at a future moment, and the K CSI-RS resources are used to measure the RSRP of the K different beams corresponding to the future moment, so as to obtain the optimal CRI and / or the RSRP value corresponding to the optimal CRI. By comparing the inferred result with the actually measured result, the terminal device can obtain the corresponding performance monitoring result.

[0161] Alternatively, in another embodiment, each aperiodic reference signal resource set may include K CSI-RS resources. For each resource set, the terminal device infers the fifth channel information based on the fourth channel information measured on M of the resources and the previously determined AI model, and calculates the performance monitoring result according to the fifth channel information and the sixth channel information measured on the K resources. Where M<K is an integer greater than or equal to 1.

[0162] For example, for beam prediction, the fourth channel information is the RSRP measurement value, and the fifth and sixth channel information are the optimal CRI and / or the RSRP value corresponding to the optimal CRI.

[0163] For example, in spatial beam prediction, the beams corresponding to the fourth and fifth channel information are different, while the beams corresponding to the fifth and sixth channel information are the same, and the beams corresponding to the fourth channel information are a subset of the beams corresponding to the fifth channel information. Specifically, K>M>1, M CSI-RS resources are used to measure the RSRP of the beam subset, thereby inferring the optimal beam (optimal CSI-RS resource index) of the entire beam set, and K CSI-RS resources are used to measure the RSRP of the K different beams contained in the entire beam set, thereby obtaining the optimal CRI and / or the RSRP value corresponding to the optimal CRI. By comparing the inferred results with the actual measured results, the terminal device can obtain the corresponding performance monitoring results.

[0164] Furthermore, in some implementations, the terminal device can use channel information measured on K resources as tags, compare it with the inferred channel information, and then output performance monitoring results. Specifically, the performance monitoring results here are the difference in channel similarity indicators such as RSRP, or whether the inferred results are consistent with the tags.

[0165] For example, the terminal device compares the optimal CRI obtained through inference with the optimal CRI obtained through measurement, and uses the result of whether the two are consistent as the result of this performance monitoring.

[0166] For example, the terminal device compares the RSRP corresponding to the optimal CRI obtained through inference with the optimal RSRP obtained through measurement, and uses the difference in RSRP between the two as the result of this performance monitoring.

[0167] The statistical performance monitoring results mentioned above can include statistical values ​​of performance monitoring results corresponding to multiple aperiodic CSI-RS resource sets. For example, when the performance monitoring result is the difference in channel similarity indicators such as RSRP, the statistical performance monitoring result is the average of multiple channel similarity indicators calculated from multiple aperiodic CSI-RS resource sets (such as the average of RSRP differences), or the ratio or frequency of multiple channel similarity indicators that are higher than a first threshold (such as the ratio or frequency of RSRP differences that are higher than x dB), or the ratio or frequency of multiple channel similarity indicators that are lower than the first threshold (such as the ratio or frequency of RSRP differences that are lower than x dB), or the quantified value of the above results.

[0168] Furthermore, in some implementations, statistical performance monitoring results can also serve as an indication of whether inference performance meets requirements. For example, when the performance monitoring result is whether the inference result is consistent with the label, the statistical performance monitoring result can be the ratio or frequency of consistency between the inference result and the label (e.g., the ratio or frequency of consistency between the inference CRI and the measured CRI), or the ratio or frequency of inconsistency between the inference result and the label (e.g., the ratio or frequency of inconsistency between the inference CRI and the measured CRI), or a quantified value of the above results. Furthermore, statistical performance monitoring results can also serve as an indication of whether inference performance meets requirements.

[0169] Whether inference performance meets requirements can be indicated using 1 bit of information. This allows network devices to determine whether the corresponding AI model used for inference remains reliable (whether it can meet specific performance requirements). The criteria or thresholds for judging whether inference performance meets requirements can be configured by the network device to the terminal device, or pre-agreed upon by both parties in a protocol. For example, if the average of multiple RSRP differences obtained from performance monitoring is lower than a third threshold (e.g., 3dB), the terminal considers the inference performance to meet requirements; otherwise, it considers it not to meet requirements. As another example, if the percentage of multiple RSRP differences obtained from performance monitoring that are higher than a first threshold (e.g., 3dB) is higher than a fourth threshold (50%), the terminal considers the inference performance not to meet requirements; otherwise, it considers it to meet requirements. Similarly, if the percentage of inference CRI that matches the measured CRI is higher than a fifth threshold (e.g., 80%), the inference performance is considered to meet requirements; otherwise, it considers it not to meet requirements.

[0170] When a terminal device submits an aperiodic CSI report to a network device, the network device can receive the aperiodic CSI report containing statistical performance monitoring results. Furthermore, based on the statistical performance monitoring results, the network device can determine whether to continue allowing the terminal device to predict beam information based on the AI ​​model, or to revert to the traditional beam reporting method. Alternatively, the network device can determine, based on the statistical performance monitoring results, whether to allow the terminal device to update the AI ​​model used for inference, or whether to instruct the terminal device to use a different AI model.

[0171] The method embodiments of this application have been described in detail above with reference to Figures 1 to 10. The apparatus embodiments of this application will be described in detail below with reference to Figures 11 to 13. It should be understood that the descriptions of the method embodiments correspond to the descriptions of the apparatus embodiments; therefore, any parts not described in detail can be referred to the preceding method embodiments.

[0172] Figure 11 is a schematic diagram of a communication device provided in an embodiment of this application. The communication device 1100 shown in Figure 11 can be the terminal device mentioned above. The communication device 1100 may include a communication module 1110 and a processing module 1120. The communication module 1110 is used to receive downlink control information (DCI) sent by a network device. The DCI is used to trigger aperiodic channel state information (CSI) reporting, and the DCI is used to indicate multiple aperiodic reference signal resources or multiple sets of aperiodic reference signal resources. The processing module 1120 is used to perform performance monitoring once based on each of the aperiodic reference signal resources or each set of aperiodic reference signal resources, and determine the statistical performance monitoring results. The communication module 1110 is also used to perform the aperiodic CSI reporting, and the reporting information of the aperiodic CSI reporting includes the statistical performance monitoring results.

[0173] In some implementations, the DCI is used to indicate the plurality of aperiodic reference signal resources, and the processing module 1120 is used to perform the following operations for each of the aperiodic reference signal resources: determining an inference result based on measurements on a portion of the ports and / or a portion of the bandwidth; determining a tag based on measurements on all ports and / or all bandwidth; and determining a performance monitoring result for a single performance monitoring based on the inference result and the tag.

[0174] In some implementations, the DCI is used to indicate the plurality of aperiodic reference signal resources, and the processing module is used to perform the following operations for each of the aperiodic reference signal resources: inferring second channel information based on first channel information; determining the performance monitoring result of a performance monitoring based on the second channel information and the third channel information; wherein, the first channel information is channel information measured on a portion of ports and / or a portion of bandwidth, the third channel information is channel information measured on all ports and / or all bandwidth, and the second channel information is channel information corresponding to all ports and / or all bandwidth.

[0175] In some implementations, the DCI is used to indicate the plurality of aperiodic reference signal resource sets, and the processing module is used to perform the following operations for each aperiodic reference signal resource set: determining an inference result based on M resources in each aperiodic reference signal resource set; determining a label based on K resources in each aperiodic reference signal resource set; and determining a performance monitoring result for a single performance monitoring based on the inference result and the label; wherein M and K are integers greater than or equal to 1, and the M resources and the K resources are different.

[0176] In some implementations, the processing module 1120 is configured to: for each set of aperiodic reference signal resources, the terminal device performs the following operations: inferring fifth channel information based on fourth channel information measured on the M resources; determining a performance monitoring result for a performance monitoring session based on the fifth channel information and sixth channel information measured on the K resources; wherein the first configuration corresponding to the fourth channel information is different from that corresponding to the fifth channel information, and the first configuration corresponding to the fifth channel information is the same as that corresponding to the sixth channel information, and the first configuration includes one or more of time-domain resources, frequency-domain resources, beams, and ports.

[0177] In some implementations, the statistical performance monitoring results include statistical values ​​of the performance monitoring results corresponding to the plurality of aperiodic reference signal resources respectively; or, the statistical performance monitoring results include statistical values ​​of the performance monitoring results corresponding to the plurality of aperiodic reference signal resource sets respectively.

[0178] In some implementations, the statistical performance monitoring results include one or more of the following: the average value of the channel similarity index; the ratio or number of times the channel similarity index is higher than a first threshold; the ratio or number of times the channel similarity index is lower than the first threshold; the ratio or number of times the inference result matches the label; the ratio or number of times the inference result is inconsistent with the label; and indication information indicating whether the inference performance meets the requirements.

[0179] In some implementations, the reported information of the aperiodic CSI may further include a first CSI, which is measured based on at least a portion of the reference signal resources among the plurality of aperiodic reference signal resources, or the first CSI is measured based on at least a portion of the reference signal resources among the plurality of aperiodic reference signal resource sets.

[0180] In some implementations, the first CSI is the CSI corresponding to the target channel information, and the target channel information is the latest tag used to determine the performance monitoring result of the statistics.

[0181] In some implementations, the statistical performance monitoring results have a higher priority than the first CSI.

[0182] In some implementations, the statistical performance monitoring results are multiplexed with the CSI part 1 of the first CSI and reported together, or the statistical performance monitoring results are multiplexed with the broadband information of the first CSI and reported together.

[0183] In some implementations, the time-domain interval between the plurality of aperiodic reference signal resources is determined based on the indication information of the network device; or, the time-domain interval between the plurality of aperiodic reference signal resource sets is determined based on the indication information of the network device.

[0184] In some implementations, the plurality of aperiodic reference signal resources are reference signal resources configured with the same configuration on different time slots; or, the plurality of aperiodic reference signal resource sets are reference signal resource sets configured with the same configuration on different time slots.

[0185] In some implementations, the plurality of aperiodic reference signal resources are quasi-co-located; or, the plurality of aperiodic reference signal resource sets are quasi-co-located.

[0186] In some implementations, the CSI reporting configuration corresponding to the non-periodic CSI reporting includes identification information, which is used to determine the artificial intelligence (AI) model, function, or feature corresponding to the performance monitoring.

[0187] In some implementations, the CSI reporting configuration corresponding to the non-periodic CSI reporting includes reporting volume information, which indicates that the non-periodic CSI reporting is used for reporting performance monitoring results; or, the non-periodic CSI reporting is used for reporting performance monitoring results and CSI measurements.

[0188] In some implementations, the number of activated reference signal resources corresponding to the aperiodic CSI reporting process is: the number of the plurality of aperiodic reference signal resources, or twice the number of the plurality of aperiodic reference signal resources; or, the number of activated reference signal resources corresponding to the aperiodic CSI reporting process is: the total number of reference signal resources included in the plurality of aperiodic reference signal resource sets.

[0189] In some implementations, the number of CSI processing units occupied by the aperiodic CSI reporting is N times the number of CSI processing units occupied by a single performance monitoring, where N is equal to the number of the plurality of aperiodic reference signal resources or the number of the plurality of aperiodic reference signal resource sets.

[0190] In some implementations, if the time interval between the last OFDM symbol occupied by the plurality of aperiodic reference signal resources or the set of plurality of aperiodic reference signal resources and the first OFDM symbol of the physical uplink shared channel (PUSCH) carrying the aperiodic CSI report is less than a second threshold value, then the terminal device does not perform the aperiodic CSI report.

[0191] Figure 12 is a schematic diagram of a communication device provided in an embodiment of this application. The communication device 1200 shown in Figure 12 can be the network device mentioned above. The communication device 1200 may include a communication module 1210. The communication module 1210 is used to send downlink control information (DCI) to a terminal device, the DCI being used to trigger aperiodic channel state information (CSI) reporting, and the DCI being used to indicate multiple aperiodic reference signal resources or multiple sets of aperiodic reference signal resources; and to receive reporting information from the aperiodic CSI reporting, the reporting information including statistical performance monitoring results, the statistical performance monitoring results including statistical values ​​of the performance monitoring results corresponding to the multiple aperiodic reference signal resources respectively, or the statistical performance monitoring results including statistical values ​​of the performance monitoring results corresponding to the multiple sets of aperiodic reference signal resources respectively.

[0192] In some implementations, the statistical performance monitoring results include one or more of the following: the average value of the channel similarity index; the ratio or number of times the channel similarity index is higher than a first threshold; the ratio or number of times the channel similarity index is lower than the first threshold; the ratio or number of times the inference result matches the label; the ratio or number of times the inference result is inconsistent with the label; and indication information indicating whether the inference performance meets the requirements.

[0193] In some implementations, the reported information of the aperiodic CSI may further include a first CSI, which is measured based on at least a portion of the reference signal resources among the plurality of aperiodic reference signal resources, or the first CSI is measured based on at least a portion of the reference signal resources among the plurality of aperiodic reference signal resource sets.

[0194] In some implementations, the first CSI is the CSI corresponding to the target channel information, and the target channel information is the latest tag used to determine the performance monitoring result of the statistics.

[0195] In some implementations, the statistical performance monitoring results have a higher priority than the first CSI.

[0196] In some implementations, the statistical performance monitoring results are multiplexed with the CSI part 1 of the first CSI and reported together, or the statistical performance monitoring results are multiplexed with the broadband information of the first CSI and reported together.

[0197] In some implementations, the time-domain interval between the plurality of aperiodic reference signal resources is determined based on the indication information of the network device; or, the time-domain interval between the plurality of aperiodic reference signal resource sets is determined based on the indication information of the network device.

[0198] In some implementations, the plurality of aperiodic reference signal resources are reference signal resources configured with the same configuration on different time slots; or, the plurality of aperiodic reference signal resource sets are reference signal resource sets configured with the same configuration on different time slots.

[0199] In some implementations, the CSI reporting configuration corresponding to the non-periodic CSI reporting includes identification information, which is used to determine the AI ​​model, function, or feature corresponding to the performance monitoring.

[0200] In some implementations, the CSI reporting configuration corresponding to the non-periodic CSI reporting includes reporting volume information, which indicates that the non-periodic CSI reporting is used for reporting performance monitoring results; or, the non-periodic CSI reporting is used for reporting performance monitoring results and CSI measurements.

[0201] In some implementations, the number of activated reference signal resources corresponding to the aperiodic CSI reporting process is: the number of the plurality of aperiodic reference signal resources, or twice the number of the plurality of aperiodic reference signal resources; or, the number of activated reference signal resources corresponding to the aperiodic CSI reporting process is: the total number of reference signal resources included in the plurality of aperiodic reference signal resource sets.

[0202] In some implementations, the number of CSI processing units occupied by the aperiodic CSI reporting is N times the number of CSI processing units occupied by a single performance monitoring, where N is equal to the number of the plurality of aperiodic reference signal resources or the number of the plurality of aperiodic reference signal resource sets.

[0203] In some implementations, if the time interval between the last OFDM symbol occupied by the plurality of aperiodic reference signal resources or the set of plurality of aperiodic reference signal resources and the first OFDM symbol of the Physical Uplink Shared Channel (PUSCH) carrying the aperiodic CSI report is less than a second threshold value, the network device does not receive the report information.

[0204] Figure 13 is a schematic structural diagram of a communication device applicable to embodiments of this application. The dashed lines in Figure 13 indicate that the unit or module is optional. This device 1300 can be used to implement the methods described in the above method embodiments. Device 1300 can be a chip, a terminal device, or a network device.

[0205] Apparatus 1300 may include one or more processors 1310. The processor 1310 may support apparatus 1300 in implementing the methods described in the preceding method embodiments. The processor 1310 may be a general-purpose processor or a special-purpose processor. For example, the processor may be a central processing unit (CPU). Alternatively, the processor may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0206] The apparatus 1300 may further include one or more memories 1320. The memories 1320 store a program that can be executed by the processor 1310, causing the processor 1310 to perform the methods described in the preceding method embodiments. The memories 1320 may be independent of the processor 1310 or integrated within the processor 1310.

[0207] The device 1300 may also include a transceiver 1330. The processor 1310 can communicate with other devices or chips via the transceiver 1330. For example, the processor 1310 can send and receive data with other devices or chips via the transceiver 1330.

[0208] This application also provides a computer-readable storage medium for storing a program. This computer-readable storage medium can be applied to the communication device provided in this application, and the program causes a computer to execute the methods performed by the communication device in various embodiments of this application.

[0209] This application also provides a computer program product. The computer program product includes a program. The computer program product can be applied to the communication device provided in this application embodiment, and the program causes a computer to execute the methods performed by the communication device in various embodiments of this application.

[0210] This application also provides a computer program. This computer program can be applied to the communication device provided in this application, and the computer program causes the computer to execute the methods performed by the communication device in various embodiments of this application.

[0211] It should be understood that the terms "system" and "network" in this application can be used interchangeably. Furthermore, the terminology used in this application is only for explaining specific embodiments of the application and is not intended to limit the application. The terms "first," "second," "third," and "fourth," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. In addition, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion.

[0212] In the embodiments of this application, the term "instruction" can be a direct instruction, an indirect instruction, or an indication of a relationship. For example, A instructing B can mean that A directly instructs B, such as B being able to obtain information through A; it can also mean that A indirectly instructs B, such as A instructing C, so B can obtain information through C; or it can mean that there is a relationship between A and B.

[0213] In the embodiments of this application, "B corresponding to A" means that B is associated with A, and B can be determined based on A. However, it should also be understood that determining B based on A does not mean that B is determined solely based on A; B can also be determined based on A and / or other information.

[0214] In the embodiments of this application, the term "correspondence" can indicate a direct or indirect correspondence between two things, or an association between two things, or a relationship such as instruction and being instructed, configuration and being configured.

[0215] In this application embodiment, "predefined" or "preconfigured" can be implemented by pre-storing corresponding codes, tables, or other means that can be used to indicate relevant information in the device (e.g., including terminal devices and network devices). This application does not limit the specific implementation method. For example, predefined can refer to what is defined in the protocol.

[0216] In this application embodiment, the "protocol" may refer to a standard protocol in the field of communication, such as the LTE protocol, the NR protocol, and related protocols applied to future communication systems. This application does not limit this.

[0217] In the embodiments of this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0218] In the various embodiments of this application, the order of the above-mentioned processes does not imply 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 this application.

[0219] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0220] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0221] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0222] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially 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, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can read or a data storage device such as a server or data center that integrates one or more available media. The available media may be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., digital video discs, DVDs) or semiconductor media (e.g., solid-state disks, SSDs), etc.

[0223] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A communication method, characterized in that, include: The terminal device receives downlink control information (DCI) sent by the network device. The DCI is used to trigger aperiodic channel state information (CSI) reporting and is used to indicate multiple aperiodic reference signal resources or multiple aperiodic reference signal resource sets. The terminal device performs a performance monitoring once for each of the aperiodic reference signal resources or each set of aperiodic reference signal resources, and determines the statistical performance monitoring results. The terminal device performs the aperiodic CSI reporting, and the reporting information of the aperiodic CSI reporting includes the statistical performance monitoring results.

2. The method according to claim 1, characterized in that, The DCI is used to indicate the plurality of aperiodic reference signal resources. The terminal device performs a performance monitoring once for each of the aperiodic reference signal resources, including: For each of the aforementioned aperiodic reference signal resources, the terminal device performs the following operations: The inference results are determined based on measurements on a portion of the ports and / or a portion of the bandwidth. The label is determined based on measurements across all ports and / or all bandwidth. The performance monitoring result for a single performance monitoring session is determined based on the inference result and the label.

3. The method according to claim 1, characterized in that, The DCI is used to indicate the plurality of aperiodic reference signal resources. The terminal device performs a performance monitoring once for each of the aperiodic reference signal resources, including: For each of the aforementioned aperiodic reference signal resources, the terminal device performs the following operations: The second channel information is obtained by reasoning based on the first channel information; The performance monitoring result of a single performance monitoring is determined based on the second channel information and the third channel information; Wherein, the first channel information is channel information measured on a portion of ports and / or a portion of bandwidth, the third channel information is channel information measured on all ports and / or all bandwidth, and the second channel information is channel information corresponding to all ports and / or all bandwidth.

4. The method according to claim 1, characterized in that, The DCI is used to indicate the plurality of aperiodic reference signal resource sets. The terminal device performs performance monitoring once for each of the aperiodic reference signal resource sets, including: For each of the aforementioned aperiodic reference signal resource sets, the terminal device performs the following operations: The inference result is determined based on M resources in each of the aperiodic reference signal resource sets; A label is determined based on K resources in each of the aperiodic reference signal resource sets; Based on the inference results and the labels, determine the performance monitoring results for a single performance monitoring session; Where M and K are integers greater than or equal to 1, and the M resources are different from the K resources.

5. The method according to claim 4, characterized in that, The terminal device performs a performance monitoring once based on each of the aperiodic reference signal resource sets, including: For each of the aforementioned aperiodic reference signal resource sets, the terminal device performs the following operations: The fifth channel information is inferred based on the fourth channel information measured on the M resources; The performance monitoring result of a performance monitoring is determined based on the fifth channel information and the sixth channel information measured on the K resources. The fourth channel information is different from the first configuration corresponding to the fifth channel information, and the fifth channel information is the same as the first configuration corresponding to the sixth channel information. The first configuration includes one or more of time domain resources, frequency domain resources, beams, and ports.

6. The method according to any one of claims 1 to 5, characterized in that: The statistical performance monitoring results include statistical values ​​of the performance monitoring results corresponding to the multiple aperiodic reference signal resources; or, The statistical performance monitoring results include statistical values ​​of the performance monitoring results corresponding to the multiple aperiodic reference signal resource sets.

7. The method according to claim 1 or 6, characterized in that, The statistical performance monitoring results include one or more of the following: The average value of the channel similarity index; The percentage or number of times the channel similarity index exceeds the first threshold; The percentage or number of times the channel similarity index falls below the first threshold; The ratio or number of times the inference result matches the label; The rate or number of times the inference result is inconsistent with the label; Indicator information indicating whether the inference performance meets the requirements.

8. The method according to any one of claims 1 to 7, characterized in that, The reported information of the aperiodic CSI also includes a first CSI, which is measured based on at least a portion of the reference signal resources among the plurality of aperiodic reference signal resources, or the first CSI is measured based on at least a portion of the reference signal resources among the plurality of aperiodic reference signal resource sets.

9. The method according to claim 8, characterized in that, The first CSI is the CSI corresponding to the target channel information, and the target channel information is the latest tag used to determine the performance monitoring result of the statistics.

10. The method according to claim 8 or 9, characterized in that, The statistical performance monitoring results have a higher priority than the first CSI.

11. The method according to any one of claims 8 to 10, characterized in that, The statistical performance monitoring results are multiplexed with CSI part 1 of the first CSI and reported together, or the statistical performance monitoring results are multiplexed with the broadband information of the first CSI and reported together.

12. The method according to any one of claims 1 to 11, characterized in that: The time-domain intervals between the plurality of aperiodic reference signal resources are determined based on the indication information of the network device; or... The time-domain intervals between the multiple sets of aperiodic reference signal resources are determined based on the indication information of the network device.

13. The method according to claim 1 or 12, characterized in that: The multiple aperiodic reference signal resources are reference signal resources configured with the same reference signal resources in different time slots; or... The multiple aperiodic reference signal resource sets are reference signal resource sets with the same configuration on different time slots.

14. The method according to any one of claims 1 to 13, characterized in that, The plurality of aperiodic reference signal resources are quasi-co-located; or, the plurality of aperiodic reference signal resource sets are quasi-co-located.

15. The method according to any one of claims 1 to 14, characterized in that, The CSI reporting configuration corresponding to the non-periodic CSI reporting includes identification information, which is used to determine the artificial intelligence (AI) model, function, or feature corresponding to the performance monitoring.

16. The method according to any one of claims 1 to 15, characterized in that, The CSI reporting configuration corresponding to the non-periodic CSI reporting includes reporting volume information, which indicates: The aperiodic CSI reporting is used for reporting performance monitoring results; or, The non-periodic CSI reporting is used for reporting performance monitoring results and CSI measurements.

17. The method according to any one of claims 1 to 16, characterized in that: The number of activated reference signal resources corresponding to the aperiodic CSI reporting process is: the number of the plurality of aperiodic reference signal resources, or twice the number of the plurality of aperiodic reference signal resources; or... The number of activated reference signal resources corresponding to the aperiodic CSI reporting process is the total number of reference signal resources contained in the multiple aperiodic reference signal resource sets.

18. The method according to any one of claims 1 to 17, characterized in that, The number of CSI processing units occupied by the aperiodic CSI reporting is N times the number of CSI processing units occupied by a single performance monitoring, where N is equal to the number of the plurality of aperiodic reference signal resources or the number of the plurality of aperiodic reference signal resource sets.

19. The method according to any one of claims 1 to 18, characterized in that, If the time interval between the last OFDM symbol occupied by the plurality of aperiodic reference signal resources or the set of plurality of aperiodic reference signal resources and the first OFDM symbol of the physical uplink shared channel (PUSCH) carrying the aperiodic CSI report is less than a second threshold value, then the terminal device will not perform the aperiodic CSI report.

20. A communication method, characterized in that, include: The network device sends downlink control information (DCI) to the terminal device. The DCI is used to trigger aperiodic channel state information (CSI) reporting and is used to indicate multiple aperiodic reference signal resources or multiple aperiodic reference signal resource sets. The network device receives the reporting information from the aperiodic CSI, the reporting information including statistical performance monitoring results, the statistical performance monitoring results including statistical values ​​of the performance monitoring results corresponding to the plurality of aperiodic reference signal resources respectively, or the statistical performance monitoring results including statistical values ​​of the performance monitoring results corresponding to the plurality of aperiodic reference signal resource sets respectively.

21. The method according to claim 20, characterized in that, The statistical performance monitoring results include one or more of the following: The average value of the channel similarity index; The percentage or number of times the channel similarity index exceeds the first threshold; The percentage or number of times the channel similarity index falls below the first threshold; The ratio or number of times the inference result matches the label; The rate or number of times the inference result is inconsistent with the label; Indicator information indicating whether the inference performance meets the requirements.

22. The method according to claim 20 or 21, characterized in that, The reported information of the aperiodic CSI also includes a first CSI, which is measured based on at least a portion of the reference signal resources among the plurality of aperiodic reference signal resources, or the first CSI is measured based on at least a portion of the reference signal resources among the plurality of aperiodic reference signal resource sets.

23. The method according to claim 22, characterized in that, The first CSI is the CSI corresponding to the target channel information, and the target channel information is the latest tag used to determine the performance monitoring result of the statistics.

24. The method according to claim 22 or 23, characterized in that, The statistical performance monitoring results have a higher priority than the first CSI.

25. The method according to any one of claims 22 to 24, characterized in that, The statistical performance monitoring results are multiplexed with CSI part 1 of the first CSI and reported together, or the statistical performance monitoring results are multiplexed with the broadband information of the first CSI and reported together.

26. The method according to any one of claims 20 to 25, characterized in that: The time-domain intervals between the plurality of aperiodic reference signal resources are determined based on the indication information of the network device; or... The time-domain intervals between the multiple sets of aperiodic reference signal resources are determined based on the indication information of the network device.

27. The method according to claim 20 or 26, characterized in that: The multiple aperiodic reference signal resources are reference signal resources configured with the same reference signal resources in different time slots; or... The multiple aperiodic reference signal resource sets are reference signal resource sets with the same configuration on different time slots.

28. The method according to any one of claims 20 to 27, characterized in that, The CSI reporting configuration corresponding to the non-periodic CSI reporting includes identification information, which is used to determine the AI ​​model, function, or feature corresponding to the performance monitoring.

29. The method according to any one of claims 20 to 28, characterized in that, The CSI reporting configuration corresponding to the non-periodic CSI reporting includes reporting volume information, which indicates: The aperiodic CSI reporting is used for reporting performance monitoring results; or, The non-periodic CSI reporting is used for reporting performance monitoring results and CSI measurements.

30. The method according to any one of claims 20 to 29, characterized in that: The number of activated reference signal resources corresponding to the aperiodic CSI reporting process is: the number of the plurality of aperiodic reference signal resources, or twice the number of the plurality of aperiodic reference signal resources; or... The number of activated reference signal resources corresponding to the aperiodic CSI reporting process is the total number of reference signal resources contained in the multiple aperiodic reference signal resource sets.

31. The method according to any one of claims 20 to 30, characterized in that, The number of CSI processing units occupied by the aperiodic CSI reporting is N times the number of CSI processing units occupied by a single performance monitoring, where N is equal to the number of the plurality of aperiodic reference signal resources or the number of the plurality of aperiodic reference signal resource sets.

32. The method according to any one of claims 20 to 31, characterized in that, If the time interval between the last Orthogonal Frequency Division Multiplexing (OFDM) symbol occupied by the plurality of aperiodic reference signal resources or the set of plurality of aperiodic reference signal resources and the first OFDM symbol carrying the Physical Uplink Shared Channel (PUSCH) for the aperiodic CSI reporting is less than a second threshold value, then the network device will not receive the reporting information.

33. A communication device, characterized in that, The communication device is a terminal device, and the terminal device includes: The communication module is used to receive downlink control information (DCI) sent by the network device. The DCI is used to trigger aperiodic channel state information (CSI) reporting, and the DCI is used to indicate multiple aperiodic reference signal resources or multiple aperiodic reference signal resource sets. The processing module is used to perform a performance monitoring once for each of the aperiodic reference signal resources or each set of aperiodic reference signal resources, and determine the statistical performance monitoring results. The communication module is also used to perform the aperiodic CSI reporting, and the reporting information of the aperiodic CSI reporting includes the statistical performance monitoring results.

34. The communication device according to claim 33, characterized in that, The DCI is used to indicate the plurality of aperiodic reference signal resources. The processing module is configured to perform the following operations for each of the aperiodic reference signal resources: The inference results are determined based on measurements on a portion of the ports and / or a portion of the bandwidth. The label is determined based on measurements across all ports and / or all bandwidth. The performance monitoring result for a single performance monitoring session is determined based on the inference result and the label.

35. The communication device according to claim 33, characterized in that, The DCI is used to indicate the plurality of aperiodic reference signal resources. The processing module is configured to perform the following operations for each of the aperiodic reference signal resources: The second channel information is obtained by reasoning based on the first channel information; The performance monitoring result of a single performance monitoring is determined based on the second channel information and the third channel information; Wherein, the first channel information is channel information measured on a portion of ports and / or a portion of bandwidth, the third channel information is channel information measured on all ports and / or all bandwidth, and the second channel information is channel information corresponding to all ports and / or all bandwidth.

36. The communication device according to claim 33, characterized in that, The DCI is used to indicate the plurality of aperiodic reference signal resource sets. The processing module is configured to perform the following operations for each of the aperiodic reference signal resource sets: The inference result is determined based on M resources in each of the aperiodic reference signal resource sets; A label is determined based on K resources in each of the aperiodic reference signal resource sets; Based on the inference results and the labels, determine the performance monitoring results for a single performance monitoring session; Where M and K are integers greater than or equal to 1, and the M resources are different from the K resources.

37. The communication device according to claim 36, characterized in that, The processing module is used for: For each of the aforementioned aperiodic reference signal resource sets, the terminal device performs the following operations: The fifth channel information is inferred based on the fourth channel information measured on the M resources; The performance monitoring result of a performance monitoring is determined based on the fifth channel information and the sixth channel information measured on the K resources. The fourth channel information is different from the first configuration corresponding to the fifth channel information, and the fifth channel information is the same as the first configuration corresponding to the sixth channel information. The first configuration includes one or more of time domain resources, frequency domain resources, beams, and ports.

38. The communication device according to any one of claims 33 to 37, characterized in that: The statistical performance monitoring results include statistical values ​​of the performance monitoring results corresponding to the multiple aperiodic reference signal resources; or, The statistical performance monitoring results include statistical values ​​of the performance monitoring results corresponding to the multiple aperiodic reference signal resource sets.

39. The communication device according to claim 33 or 38, characterized in that, The statistical performance monitoring results include one or more of the following: The average value of the channel similarity index; The percentage or number of times the channel similarity index exceeds the first threshold; The percentage or number of times the channel similarity index falls below the first threshold; The ratio or number of times the inference result matches the label; The rate or number of times the inference result is inconsistent with the label; Indicator information indicating whether the inference performance meets the requirements.

40. The communication device according to any one of claims 33 to 39, characterized in that, The reported information of the aperiodic CSI also includes a first CSI, which is measured based on at least a portion of the reference signal resources among the plurality of aperiodic reference signal resources, or the first CSI is measured based on at least a portion of the reference signal resources among the plurality of aperiodic reference signal resource sets.

41. The communication device according to claim 40, characterized in that, The first CSI is the CSI corresponding to the target channel information, and the target channel information is the latest tag used to determine the performance monitoring result of the statistics.

42. The communication device according to claim 40 or 41, characterized in that, The statistical performance monitoring results have a higher priority than the first CSI.

43. The communication device according to any one of claims 40 to 42, characterized in that, The statistical performance monitoring results are multiplexed with CSI part 1 of the first CSI and reported together, or the statistical performance monitoring results are multiplexed with the broadband information of the first CSI and reported together.

44. The communication device according to any one of claims 33 to 43, characterized in that: The time-domain intervals between the plurality of aperiodic reference signal resources are determined based on the indication information of the network device; or... The time-domain intervals between the multiple sets of aperiodic reference signal resources are determined based on the indication information of the network device.

45. The communication device according to claim 33 or 44, characterized in that: The multiple aperiodic reference signal resources are reference signal resources configured with the same reference signal resources in different time slots; or... The multiple aperiodic reference signal resource sets are reference signal resource sets with the same configuration on different time slots.

46. ​​The communication device according to any one of claims 33 to 45, characterized in that, The plurality of aperiodic reference signal resources are quasi-co-located; or, the plurality of aperiodic reference signal resource sets are quasi-co-located.

47. The communication device according to any one of claims 33 to 46, characterized in that, The CSI reporting configuration corresponding to the non-periodic CSI reporting includes identification information, which is used to determine the artificial intelligence (AI) model, function, or feature corresponding to the performance monitoring.

48. The communication device according to any one of claims 33 to 47, characterized in that, The CSI reporting configuration corresponding to the non-periodic CSI reporting includes reporting volume information, which indicates: The aperiodic CSI reporting is used for reporting performance monitoring results; or, The non-periodic CSI reporting is used for reporting performance monitoring results and CSI measurements.

49. The communication device according to any one of claims 33 to 48, characterized in that: The number of activated reference signal resources corresponding to the aperiodic CSI reporting process is: the number of the plurality of aperiodic reference signal resources, or twice the number of the plurality of aperiodic reference signal resources; or... The number of activated reference signal resources corresponding to the aperiodic CSI reporting process is the total number of reference signal resources contained in the multiple aperiodic reference signal resource sets.

50. The communication device according to any one of claims 33 to 49, characterized in that, The number of CSI processing units occupied by the aperiodic CSI reporting is N times the number of CSI processing units occupied by a single performance monitoring, where N is equal to the number of the plurality of aperiodic reference signal resources or the number of the plurality of aperiodic reference signal resource sets.

51. The communication device according to any one of claims 33 to 50, characterized in that, If the time interval between the last OFDM symbol occupied by the plurality of aperiodic reference signal resources or the set of plurality of aperiodic reference signal resources and the first OFDM symbol of the physical uplink shared channel (PUSCH) carrying the aperiodic CSI report is less than a second threshold value, then the terminal device will not perform the aperiodic CSI report.

52. A communication device, characterized in that, The communication device is a network device, and the network device includes: The communication module is configured to send downlink control information (DCI) to the terminal device, wherein the DCI is used to trigger aperiodic channel state information (CSI) reporting, and the DCI is used to indicate multiple aperiodic reference signal resources or multiple sets of aperiodic reference signal resources; and to receive reporting information from the aperiodic CSI reporting, wherein the reporting information includes statistical performance monitoring results, wherein the statistical performance monitoring results include statistical values ​​of the performance monitoring results corresponding to the multiple aperiodic reference signal resources respectively, or wherein the statistical performance monitoring results include statistical values ​​of the performance monitoring results corresponding to the multiple sets of aperiodic reference signal resources respectively.

53. The communication device according to claim 52, characterized in that, The statistical performance monitoring results include one or more of the following: The average value of the channel similarity index; The percentage or number of times the channel similarity index exceeds the first threshold; The percentage or number of times the channel similarity index falls below the first threshold; The ratio or number of times the inference result matches the label; The rate or number of times the inference result is inconsistent with the label; Indicator information indicating whether the inference performance meets the requirements.

54. The communication device according to claim 52 or 53, characterized in that, The reported information of the aperiodic CSI also includes a first CSI, which is measured based on at least a portion of the reference signal resources among the plurality of aperiodic reference signal resources, or the first CSI is measured based on at least a portion of the reference signal resources among the plurality of aperiodic reference signal resource sets.

55. The communication device according to claim 54, characterized in that, The first CSI is the CSI corresponding to the target channel information, and the target channel information is the latest tag used to determine the performance monitoring result of the statistics.

56. The communication device according to claim 54 or 55, characterized in that, The statistical performance monitoring results have a higher priority than the first CSI.

57. The communication device according to any one of claims 54 to 56, characterized in that, The statistical performance monitoring results are multiplexed with CSI part 1 of the first CSI and reported together, or the statistical performance monitoring results are multiplexed with the broadband information of the first CSI and reported together.

58. The communication device according to any one of claims 52 to 57, characterized in that: The time-domain intervals between the plurality of aperiodic reference signal resources are determined based on the indication information of the network device; or... The time-domain intervals between the multiple sets of aperiodic reference signal resources are determined based on the indication information of the network device.

59. The communication device according to claim 52 or 58, characterized in that: The multiple aperiodic reference signal resources are reference signal resources configured with the same reference signal resources in different time slots; or... The multiple aperiodic reference signal resource sets are reference signal resource sets with the same configuration on different time slots.

60. The communication device according to any one of claims 52 to 59, characterized in that, The CSI reporting configuration corresponding to the non-periodic CSI reporting includes identification information, which is used to determine the AI ​​model, function, or feature corresponding to the performance monitoring.

61. The communication device according to any one of claims 52 to 60, characterized in that, The CSI reporting configuration corresponding to the non-periodic CSI reporting includes reporting volume information, which indicates: The aperiodic CSI reporting is used for reporting performance monitoring results; or, The non-periodic CSI reporting is used for reporting performance monitoring results and CSI measurements.

62. The communication device according to any one of claims 52 to 61, characterized in that: The number of activated reference signal resources corresponding to the aperiodic CSI reporting process is: the number of the plurality of aperiodic reference signal resources, or twice the number of the plurality of aperiodic reference signal resources; or... The number of activated reference signal resources corresponding to the aperiodic CSI reporting process is the total number of reference signal resources contained in the multiple aperiodic reference signal resource sets.

63. The communication device according to any one of claims 52 to 62, characterized in that, The number of CSI processing units occupied by the aperiodic CSI reporting is N times the number of CSI processing units occupied by a single performance monitoring, where N is equal to the number of the plurality of aperiodic reference signal resources or the number of the plurality of aperiodic reference signal resource sets.

64. The communication device according to any one of claims 52 to 63, characterized in that, If the time interval between the last Orthogonal Frequency Division Multiplexing (OFDM) symbol occupied by the plurality of aperiodic reference signal resources or the set of plurality of aperiodic reference signal resources and the first OFDM symbol carrying the Physical Uplink Shared Channel (PUSCH) for the aperiodic CSI reporting is less than a second threshold value, then the network device will not receive the reporting information.

65. A communication device, characterized in that, The device includes a transceiver, a memory, and a processor. The memory stores a program, and the processor invokes the program in the memory and controls the transceiver to receive or transmit signals so that the communication device performs the method as described in any one of claims 1 to 19 or 20 to 32.

66. An apparatus, characterized in that, Includes a processor for calling a program from memory to cause the apparatus to perform the method as described in any one of claims 1 to 19 or 20 to 32.

67. A chip, characterized in that, Includes a processor for calling a program from memory, causing a device on which the chip is mounted to perform the method as claimed in any one of claims 1 to 19 or 20 to 32.

68. A computer-readable storage medium, characterized in that, It contains a program that causes a computer to perform the method as described in any one of claims 1 to 19 or 20 to 32.

69. A computer program product, characterized in that, The method includes a program that causes a computer to perform the method as described in any one of claims 1 to 19 or 20 to 32.

70. A computer program, characterized in that, The computer program causes the computer to perform the method as described in any one of claims 1 to 19 or 20 to 32.

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