Measurement processing method and apparatus, and related device

Abstract

The present disclosure relates to the technical field of communications. Provided are a measurement processing method and apparatus, and a related device. The method is executed by a terminal, and comprises: receiving first information or second information, wherein the first information is used for indicating that a first subset of a first reference signal set serves as a measurement set, the second information is used for indicating an association relationship between reference signals and subsets of the first reference signal set, and the association relationship is used for determining the measurement set; and performing measurement on the basis of a reference signal in the measurement set, so as to obtain a first measurement result, and reporting the first measurement result.

Description

Measurement and processing methods, devices and related equipment

[0001] Cross-reference to related applications

[0002] This disclosure claims priority to Chinese Patent Application No. 202411429629.8, filed in China on October 14, 2024, the entire contents of which are incorporated herein by reference. Technical Field

[0003] This disclosure relates to the field of communication technology, and in particular to a measurement and processing method, apparatus and related equipment. Background Technology

[0004] Within the design framework of 5G (5th Generation Mobile Networks), artificial intelligence (AI) has already demonstrated significant advantages in beam management, showing promising application prospects. A typical use case for AI beam management is spatial beam prediction. As shown in Figure 1, AI-enabled spatial beam prediction can predict the L1-RSRP of all reference signals and select the optimal beam by measuring the Layer 1 Reference Signal Received Power (L1-RSRP) of a subset of reference signals, thereby reducing terminal beam measurement overhead.

[0005] However, after the AI ​​model has been inferring for a period of time, if certain events occur, such as the number of negative acknowledgment (NACK) responses exceeding a threshold, it is necessary to monitor the current AI model performance. Specifically, all reference signals need to be measured. Especially for periodic measurement of all reference signals, a large network overhead for measuring reference signals and terminal overhead are required. Summary of the Invention

[0006] The purpose of this disclosure is to provide a measurement processing method, apparatus, and related equipment to solve the problem that performance monitoring in related technologies requires significant overhead.

[0007] To achieve the above objectives, embodiments of this disclosure provide a measurement processing method, executed by a terminal, comprising:

[0008] Receive first information or second information; wherein the first information is used to indicate a first subset of a first reference signal set as a measurement set, and the second information is used to indicate the association relationship between the reference signal and the subset of the first reference signal set, the association relationship being used to determine the measurement set;

[0009] Measurements are performed based on reference signals in the measurement set, and the first measurement result is obtained and reported.

[0010] Optionally, the first information includes at least one of the following:

[0011] Channel State Information (CSI) Trigger Status Index, CSI Reporting Configuration Index, Index of First Reference Signal Set, Index of Subset of First Reference Signal Set, Reference Signal Index, CSI Reference Signal Resource Indicator, Bitmap, Sequence Number of Subset Combinations of First Reference Signal Set, Number of Reference Signals, Transmission Configuration Indicator (TCI) Status Index.

[0012] Optionally, the application start time of the first information is one of the following:

[0013] The end time of the first duration after the first time slot, where the first time slot is the time slot in which the terminal receives the first information;

[0014] The end time of the first duration after the second time slot, where the second time slot is the time slot in which the terminal sends the HARQ (Hybrid Automatic Repeat Request) feedback of the first information.

[0015] Optionally, the method further includes:

[0016] The measurement set is received or measured after the application start time of the first information.

[0017] Optionally, the first measurement result includes at least one of the following:

[0018] CSI (Reference Signal Resource Indication), Reference Signal Quality, Prediction Accuracy, and Reference Signal Received Power (RSRP) Difference.

[0019] Optionally, the method further includes:

[0020] Send a third message, the third message being used to request that a second subset of the first reference signal set be used as the measurement set.

[0021] Optionally, the third information includes at least one of the following:

[0022] Index of the first reference signal set, reference signal index, CSI reference signal resource indicator, bitmap, sequence number of subset combination of the first reference signal set, number of reference signals, and index of the subset of the first reference signal set.

[0023] Optionally, the method further includes:

[0024] A second measurement result is obtained by measuring the reference signals in the second set of reference signals.

[0025] The measurement set is determined based on the second measurement result and the correlation.

[0026] Optionally, the method further includes:

[0027] Obtain the second reference signal obtained by the artificial intelligence model inference. The second reference signal is K2 reference signals in the first reference signal set whose quality is greater than that of the remaining reference signals, and K2 is an integer greater than or equal to 1.

[0028] The measurement set is determined based on the second reference signal and the correlation relationship.

[0029] Optionally, the method further includes:

[0030] Send a second measurement result or a fourth message, the fourth message being used to indicate a second reference signal.

[0031] Optionally, the method further includes:

[0032] Receive at least one of the following:

[0033] Configuration information of the first reference signal set;

[0034] Configuration information for the second reference signal set;

[0035] Configuration information of a subset of the first reference signal set.

[0036] To achieve the above objectives, embodiments of this disclosure provide a measurement processing method, executed by a network-side device, comprising:

[0037] Send a first message or a second message; wherein the first message is used to indicate a first subset of a first set of reference signals as a measurement set, and the second message is used to indicate the association between the reference signals and the subset of the first set of reference signals, the association being used to determine the measurement set;

[0038] Receive a first measurement result, which is obtained by measuring a reference signal based on the measurement set.

[0039] Optionally, the first information includes at least one of the following:

[0040] Channel State Information (CSI) Trigger Status Index, CSI Reporting Configuration Index, Index of First Reference Signal Set, Index of Subset of First Reference Signal Set, Reference Signal Index, CSI Reference Signal Resource Indicator, Bitmap, Sequence Number of Subset Combinations of First Reference Signal Set, Number of Reference Signals, Transmission Configuration Indicator (TCI) Status Index.

[0041] Optionally, the application start time of the first information is one of the following:

[0042] The end time of the first duration after the first time slot, where the first time slot is the time slot in which the terminal receives the first information;

[0043] The end time of the first duration after the second time slot, where the second time slot is the time slot in which the terminal sends the HARQ (Hybrid Automatic Repeat Request) feedback of the first information.

[0044] Optionally, the method further includes:

[0045] The measurement set is sent after the application start time of the first information.

[0046] Optionally, the first measurement result includes at least one of the following:

[0047] CSI (Reference Signal Resource Indication), Reference Signal Quality, Prediction Accuracy, and Reference Signal Received Power (RSRP) Difference.

[0048] Optionally, the method further includes:

[0049] Receive third information, the third information being used to request that a second subset of the first reference signal set be used as the measurement set.

[0050] Optionally, the third information includes at least one of the following:

[0051] Index of the first reference signal set, reference signal index, CSI reference signal resource indicator, bitmap, sequence number of subset combination of the first reference signal set, number of reference signals, and index of the subset of the first reference signal set.

[0052] Optionally, the method further includes:

[0053] Receive a second measurement result or a fourth piece of information, the fourth piece of information being used to indicate a second reference signal.

[0054] Optionally, the method further includes:

[0055] The measurement set is determined based on the second measurement result and the correlation.

[0056] Optionally, the method further includes:

[0057] The measurement set is determined based on the second reference signal and the correlation relationship.

[0058] Optionally, the method further includes:

[0059] Send at least one of the following:

[0060] Configuration information of the first reference signal set;

[0061] Configuration information for the second reference signal set;

[0062] Configuration information of a subset of the first reference signal set.

[0063] Optionally, the method further includes:

[0064] Reference signals are transmitted through the transmission resources corresponding to the measurement set.

[0065] To achieve the above objectives, embodiments of this disclosure provide a measurement processing apparatus applied to a terminal, comprising:

[0066] A first receiving module is configured to receive first information or second information; wherein the first information is configured to indicate a first subset of a first reference signal set as a measurement set, and the second information is configured to indicate the association relationship between the reference signal and the subset of the first reference signal set, the association relationship being used to determine the measurement set;

[0067] The first processing module is used to perform measurements based on the reference signals in the measurement set, obtain and report the first measurement result.

[0068] To achieve the above objectives, embodiments of this disclosure provide a measurement processing apparatus applied to a network-side device, comprising:

[0069] A first transmitting module is configured to transmit first information or second information; wherein the first information is configured to indicate a first subset of a first reference signal set as a measurement set, and the second information is configured to indicate the association relationship between the reference signal and the subset of the first reference signal set, the association relationship being used to determine the measurement set;

[0070] The second receiving module is used to receive the first measurement result, which is obtained by measuring a reference signal based on the measurement set.

[0071] To achieve the above objectives, embodiments of this disclosure provide a communication device, including a transceiver, a processor, a memory, and a program or instructions stored in the memory and executable on the processor; when the processor executes the program or instructions, it implements the measurement processing method described above.

[0072] To achieve the above objectives, embodiments of this disclosure provide a readable storage medium having a program or instructions stored thereon, which, when executed by a processor, implement the steps in the measurement processing method described above.

[0073] To achieve the above objectives, embodiments of this disclosure provide a computer program product, including computer instructions that, when executed by a processor, implement the steps of the measurement processing method described above.

[0074] The beneficial effects of the above-mentioned technical solution disclosed herein are as follows:

[0075] In the method of this disclosure embodiment, after receiving the first information or the second information sent by the network-side device, the terminal can obtain the measurement set. Then, it performs measurements based on the reference signals in the measurement set to obtain and report the first measurement result. Since the measurement set is a subset of the first reference signal set, measurements on this measurement set avoid measuring the first reference signal set, reducing the network measurement reference signal overhead required for model monitoring and the terminal's measurement overhead. Attached Figure Description

[0076] Figure 1 is a schematic diagram of the spatial beam prediction principle of the AI ​​model;

[0077] Figure 2 is a flowchart of one of the measurement processing methods according to an embodiment of the present disclosure;

[0078] Figure 3 is a second flowchart of the measurement processing method according to an embodiment of this disclosure;

[0079] Figure 4 is a schematic diagram of the module structure of the measurement processing device according to an embodiment of the present disclosure;

[0080] Figure 5 is a second schematic diagram of the module structure of the measurement processing device according to an embodiment of this disclosure;

[0081] Figure 6 is a structural diagram of the terminal according to an embodiment of this disclosure;

[0082] Figure 7 is a structural diagram of the network-side device according to an embodiment of this disclosure. Detailed Implementation

[0083] To make the technical problems, technical solutions and advantages to be solved by this disclosure clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0084] It should be understood that the phrase "an embodiment" or "one embodiment" throughout the specification means that a particular feature, structure, or characteristic relating to an embodiment is included in at least one embodiment of this disclosure. Therefore, "in one embodiment" or "one embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. Furthermore, these particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0085] In the various embodiments of this disclosure, it should be understood that the sequence number of each process described below 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 disclosure.

[0086] In addition, the terms "system" and "network" are often used interchangeably in this article.

[0087] In the embodiments provided in this disclosure, it should be understood that "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.

[0088] For ease of understanding, the following describes some aspects related to the embodiments of this disclosure:

[0089] The implementation method of AI-based spatial beam prediction first involves training on a large dataset, such as one containing millions of samples. Each sample contains the Reference Signal Receiving Power (RSRP) of all beams at a certain moment. For transmit beam prediction, based on a certain receive beam assumption, a small number of transmit beam RSRPs are used as input to the AI ​​model during training, and the RSRPs of all transmit beams are used as labels for the AI ​​model output. The parameters within the AI ​​model are continuously updated using a gradient descent algorithm until the error between the AI ​​model output and the label (which can be measured by the Normalized Mean Square Error (NMSE)) is less than a threshold. At this point, the model converges and has good predictive ability.

[0090] After the AI ​​model is trained, during terminal-side inference, assuming the base station has 64 transmit beams and is configured with 8 Channel State Information Reference Signals (CSI-RS), the terminal measures the L1-RSRP of each of the 8 beams at each moment. The terminal uses the measured 8 L1-RSRPs as input to the AI ​​model, predicts the L1-RSRP of all 64 beams based on the AI ​​model, and reports the CSI-RS Resource Indicators (CRIs) and L1-RSRPs of the top K beams (top K) among the 64 transmit beams. The base station, based on the RSRP values ​​of the top K beams and beam load, instructs one of these beams to communicate with the terminal.

[0091] If, after a period of model inference, events such as the number of NACK responses exceeding a threshold occur, it is necessary to monitor the current model performance. Specifically, the identifiers (IDs) and RSRP values ​​of the actual top K beams across all beams can be measured to calculate and monitor Key Performance Indicators (KPIs), such as beam prediction accuracy and RSRP difference. When the monitored KPIs fall below the threshold, the terminal or network triggers a model update / model switch / rollback to traditional beam management.

[0092] As shown in Figure 2, a measurement processing method according to an embodiment of this disclosure is executed by a terminal and includes:

[0093] Step 201: Receive first information or second information; wherein the first information is used to indicate a first subset of the first reference signal set as a measurement set, and the second information is used to indicate the association relationship between the reference signal and the subset of the first reference signal set, the association relationship being used to determine the measurement set;

[0094] Step 202: Perform measurements based on the reference signals in the measurement set, obtain and report the first measurement result.

[0095] Thus, following steps 201 and 202 above, after receiving the first information or the second information sent by the network-side device, the terminal can obtain the measurement set. Then, based on the reference signals in the measurement set, it performs measurements to obtain and report the first measurement result. Since the measurement set is a subset of the first reference signal set, measurements of this measurement set avoid measuring the first reference signal set, reducing the network measurement reference signal overhead required for model monitoring and the terminal's measurement overhead.

[0096] Furthermore, it reduces the terminal reporting overhead required for model monitoring.

[0097] It should be noted that in this embodiment, a subset of the first reference signal set can be used as the measurement set. Specifically, this can be indicated by the network-side device or determined autonomously by the terminal. Specifically, the network-side device indicates that a subset of the first reference signal set (i.e., the first subset) should be used as the measurement set by sending first information. The terminal can then receive second information sent by the network-side device and autonomously determine a subset of the first reference signal set (i.e., the third subset) as the measurement set based on this second information. Of course, the first subset and the second subset can be the same or different.

[0098] The transmission resource set of the first reference signal set is the first resource set. A first subset of the first reference signal set corresponds to one or more subsets of the first resource set.

[0099] Specifically, the first reference signal set is the set of reference signals used by the AI ​​model for prediction, and the first measurement result is used for monitoring the performance of the AI ​​model.

[0100] Optionally, the measurement set is a set of first reference signals, the first reference signals including at least one of the following:

[0101] In the first set of reference signals, there are K1 reference signals whose quality is greater than that of the remaining reference signals;

[0102] In the second set of reference signals, there are K1 reference signals whose quality is greater than that of the remaining reference signals; the second set of reference signals is the set of reference signals used for measurement by the artificial intelligence model.

[0103] Where K1 is an integer greater than or equal to 1.

[0104] The value of K1 can be predefined or configured by the network. The first reference signal can be called the topK reference signal.

[0105] Of course, the first reference signal can also be one of the K1 reference signals in the first set of reference signals, with a probability greater than that of the remaining K2 reference signals; or, one of the K1 reference signals in the second set of reference signals, with a probability greater than that of the remaining K2 reference signals. K2 is an integer greater than or equal to 1, and its specific value can be predefined or configured by the network.

[0106] In this embodiment, the first reference signal set (setA) includes the second reference signal set (setB), that is, the set of reference signals used by the AI ​​model for prediction includes the set of reference signals used by the AI ​​model for measurement.

[0107] The transmission resource set of the second reference signal set is the second resource set. The first resource set includes the second resource set.

[0108] Furthermore, it should be noted that in this embodiment, the AI ​​model can be deployed on network-side devices or terminals.

[0109] If the AI ​​model is deployed on a network-side device, optionally, in this embodiment, before sending the first information, the network-side device can determine a first subset of the first reference signal set as a measurement set based on the measurement results obtained by the AI ​​model from measuring the second reference signal set. For example, based on the measurement results, a subset of the first reference signal set including the K1 reference signals with the best quality is selected as the measurement set.

[0110] If the AI ​​model is deployed on the terminal, optionally in this embodiment, before the network-side device sends the first information, it can receive a first reference signal determined by the terminal, and then determine a first subset as a measurement set based on the first reference signal. The process by which the terminal determines the first reference signal can be that the terminal uses the AI ​​model to measure the first reference signal obtained from the second reference signal set.

[0111] Optionally, in this embodiment, the first information includes at least one of the following:

[0112] Channel State Information (CSI) Trigger Status Index, CSI Reporting Configuration Index, Index of First Reference Signal Set, Index of Subset of First Reference Signal Set, Reference Signal Index, CSI Reference Signal Resource Indicator, Bitmap, Sequence Number of Subset Combinations of First Reference Signal Set, Number of Reference Signals, Transmission Configuration Indicator (TCI) Status Index.

[0113] The bitmap is used to indicate the measurement set, which is the first subset of the first reference signal set. For example, a 1 in the nth bit indicates that the nth subset of the first reference signal set belongs to the measurement set, or a 1 in the nth bit indicates that the nth reference signal of the first reference signal set belongs to the measurement set. The sequence number of the subset combination of the first reference signal set can be C. N M The seed set combination is one of the indices, N is the number of subsets in the first reference signal set, M is the number of subsets in each subset combination, and each subset combination is a candidate measurement set.

[0114] The index of the first reference signal set subset can be an index configured for each subset of the first reference signal set. The first information includes the index of the first reference signal set subset, which is used to identify the subset of the first reference signal set that is a measurement set.

[0115] Of course, the sequence number of the bitmap and the subset combination of the first reference signal set can both be understood as the implementation method of the measurement set identifier. In addition, the identifier of the measurement set can also be implemented by using the identifier of the subset of the first reference signal set when a unique identifier is assigned to the subset of the first reference signal set.

[0116] Optionally, the application start time of the first information is one of the following:

[0117] The end time of the first duration after the first time slot, where the first time slot is the time slot in which the terminal receives the first information;

[0118] The end time of the first duration following the second time slot, where the second time slot is the time slot in which the terminal sends the feedback of the Hybrid Automatic Repeat Request (HARQ) for the first information.

[0119] In other words, the time corresponding to the first time slot plus the first duration is the application start time of the first information, or the time corresponding to the second time slot plus the first duration is the application start time of the first information.

[0120] Optionally, the application start time of the first information is the time when the terminal starts measuring based on the measurement set indicated by the first information, which can also be understood as the effective start time of the measurement set, the time when the network-side device starts sending the first reference signal.

[0121] Optionally, "first time" can refer to the processing time of the first piece of information.

[0122] Optionally, the method further includes:

[0123] The measurement set is received or measured after the application start time of the first information.

[0124] That is, the terminal begins receiving or measuring the measurement set after the application start time of the first information.

[0125] Optionally, the first information can be stopped after a second duration, which is a predefined or network-configured duration, or determined based on a stop instruction.

[0126] Optionally, in this embodiment, the network-side device sends the first information through a Medium Access Control Element (MAC CE).

[0127] Optionally, in this embodiment, after receiving the first information, the terminal begins to receive reference signals from the measurement set; or, it performs measurements based on the reference signals from the measurement set.

[0128] Optionally, in this embodiment, after the network-side device sends the first information, it begins to send a reference signal through the measurement set.

[0129] Optionally, the first measurement result includes at least one of the following:

[0130] CSI (Reference Signal Resource Indication) (CRI), reference signal quality, prediction accuracy, and reference signal received power (RSRP) difference.

[0131] Specifically, prediction accuracy can be used to characterize the probability that the best quality reference signal of the measurement set belongs to the K best quality reference signals of the model inference, or the probability that the best quality reference signal of the measurement set belongs to the K best quality reference signals of the model inference.

[0132] Specifically, the RSRP difference can be the average of the differences between the measured RSRP values ​​and the predicted RSRP values ​​of the K reference signals with the best model inference quality. The measured RSRP values ​​of the K reference signals with the best model inference quality are obtained based on measurements of the reference signals in the measurement set; that is, the reference signals in the measurement set include the K reference signals with the best model inference quality.

[0133] The number of bits in CRI is determined based on the number of reference signals in the first reference signal set (e.g., if the number of reference signals in the first reference signal set is N1, the number of bits in CRI is log2(N1)), or based on the first subset (e.g., if the total number of reference signals in one or more subsets of the first reference signal set is N2, the number of bits in CRI is log2(N2)).

[0134] The reference signal quality includes L1-RSRP or Layer 1 Signal-to-Interference-plus-Noise Ratio (L1-SINR).

[0135] Of course, in this embodiment, if the number of bits of the first measurement result exceeds the maximum number of bits of the uplink reporting resource, the CRI and / or reference signal quality of the poor-quality reference signal can be discarded.

[0136] Optionally, in this embodiment, the method further includes:

[0137] Send a third message, the third message being used to request that a second subset of the first reference signal set be used as the measurement set.

[0138] Here, the second subset of the first reference signal set can be understood as the desired measurement set.

[0139] In this way, the terminal informs the network-side device of the measurement set it expects, which is the second subset of the first reference signal set, so that the network-side device can combine the expected measurement set to indicate the first information to the terminal.

[0140] As an optional implementation, the terminal sends third information to the network-side device before receiving the first information sent by the network-side device.

[0141] The terminal can determine the desired measurement set based on the measurement results obtained from the second reference signal set of the terminal-side AI model, and / or based on the top K reference signals in the first reference signal set obtained from the terminal-side AI model.

[0142] Optionally, the third information includes at least one of the following:

[0143] Index of the first reference signal set, reference signal index, CSI reference signal resource indicator, bitmap, sequence number of subset combination of the first reference signal set, number of reference signals, and index of the subset of the first reference signal set.

[0144] The bitmap is used to indicate the measurement set, which is the first subset of the first reference signal set. For example, a 1 in the nth bit indicates that the nth subset of the first reference signal set belongs to the measurement set, or a 1 in the nth bit indicates that the nth reference signal of the first reference signal set belongs to the measurement set. The index of the subset combination of the first reference signal set can be C. N M The seed set combination is one of the indices, N is the number of subsets in the first reference signal set, M is the number of subsets in each subset combination, and each subset combination is a candidate measurement set.

[0145] The index of the first reference signal set subset can be an index configured for each subset of the first reference signal set, and the third information includes the index of the first reference signal set subset, which is used to identify the subset of the first reference signal set as the desired measurement set.

[0146] Of course, the sequence number of the bitmap and the subset combination of the first reference signal set can both be understood as the implementation method of the desired measurement set identifier. In addition, the identifier of the desired measurement set can also be implemented by using the identifier of the subset of the first reference signal set when a unique identifier is assigned to the subset of the first reference signal set.

[0147] In this embodiment, the third information can be reported along with the inference data.

[0148] Optionally, in this embodiment, the method further includes:

[0149] A second measurement result is obtained by measuring the reference signals in the second set of reference signals.

[0150] The measurement set is determined based on the second measurement result and the correlation.

[0151] At this point, the terminal is configured with an AI model, which can perform measurements based on the reference signals in the second set of reference signals to obtain a second measurement result. Then, the measurement set is determined by the combination and correlation of the second measurement. For example, the second measurement result indicates the K1 reference signals with the best quality. Through the correlation, one or more subsets of the first set of reference signals associated with these K1 reference signals can be found, thereby determining the measurement set as the subset of one or more first set of reference signals.

[0152] As an optional implementation, after receiving the second information sent by the network-side device, the terminal performs measurements based on the reference signals in the second set of reference signals.

[0153] Optionally, in this embodiment, the method further includes:

[0154] Obtain the second reference signal obtained by the artificial intelligence model inference. The second reference signal is K2 reference signals in the first reference signal set whose quality is greater than that of the remaining reference signals, and K2 is an integer greater than or equal to 1.

[0155] The measurement set is determined based on the second reference signal and the correlation relationship.

[0156] That is, based on the second reference signal, the terminal can find one or more subsets of the first reference signal set associated with the second reference signal through correlation relationships, and thus use these one or more subsets as the measurement set. Here, the second reference signal can be one of K2 reference signals whose quality is greater than the quality of the remaining reference signals, obtained by the terminal using an AI model inference.

[0157] As an optional implementation, after receiving the second information sent by the network-side device, the terminal obtains the second reference signal obtained by the artificial intelligence model inference, and determines the measurement set based on the second reference signal and the correlation relationship.

[0158] Optionally, the method further includes:

[0159] Send a second measurement result or a fourth message, the fourth message being used to indicate a second reference signal.

[0160] That is, after receiving the second measurement result or the second reference signal, the terminal can inform the network-side device of the second measurement result or the fourth information, enabling the network-side device to match with the terminal and determine the same measurement set. Specifically, after receiving the second measurement result or the fourth information, the network-side device determines the measurement set by combining the association relationship between the reference signal and a subset of the first reference signal set. The specific process is similar to that on the terminal side and will not be described in detail here.

[0161] Optionally, in this embodiment, after the terminal sends the second measurement result or the fourth information, it begins to receive the reference signal in the measurement set, or performs measurements based on the reference signal in the measurement set.

[0162] Optionally, in this embodiment, after receiving the second measurement result or the fourth information, the network-side device begins to send the reference signal in the measurement set.

[0163] In addition, in this embodiment, the method further includes:

[0164] Receive at least one of the following:

[0165] Configuration information of the first reference signal set;

[0166] Configuration information for the second reference signal set;

[0167] Configuration information of a subset of the first reference signal set.

[0168] In other words, the network-side device will send at least one of the following to the terminal: configuration information of the first reference signal set, configuration information of the second reference signal set, and configuration information of a subset of the first reference signal set, so that the terminal can determine information such as the first reference signal set, the second reference signal set, and a subset of the first reference signal set.

[0169] The configuration information of the first reference signal set includes at least one of the following: a reference signal set index, a reference signal index, and a first time offset value. The reference signal set index specifically indicates the first reference signal set, and the first time offset value specifically indicates the offset of the reference signal transmission resources within the first reference signal set.

[0170] The configuration information of the second reference signal set includes at least one of the following: a reference signal set index, a reference signal index, and a second time offset value. The reference signal set index specifically indicates the second reference signal set, and the second time offset value specifically indicates the offset of the reference signal transmission resources within the second reference signal set.

[0171] The subset of the first reference signal set includes at least one of the following: a reference signal subset index, a reference signal index, a CRI (Center for Reference Indicators), and the number of reference signals in the subset. The reference signal subset index specifically indicates a subset within the first reference signal set, and the reference signal index specifically indicates a reference signal within the subset of the first reference signal set.

[0172] It should also be noted that in this embodiment, the first subset, the second subset, and the third subset may be partial subsets of the first reference signal set.

[0173] As shown in Figure 3, an embodiment of this disclosure provides a measurement processing method, executed by a network-side device, including:

[0174] Step 301: Send first information or second information; wherein, the first information is used to indicate a first subset of the first reference signal set as a measurement set, and the second information is used to indicate the association relationship between the reference signal and the subset of the first reference signal set, the association relationship being used to determine the measurement set;

[0175] Step 302: Receive the first measurement result, which is obtained by measuring the reference signal in the measurement set.

[0176] Following steps 301 and 302 above, after the network-side device sends the first information or the second information, the terminal is able to perform measurements based on the reference signals in the measurement set, obtain and report the first measurement result, and complete performance monitoring. Since the measurement set is a subset of the first reference signal set, measurements of this measurement set avoid measuring the first reference signal set, reducing the network measurement reference signal overhead and the terminal measurement overhead required for model monitoring.

[0177] Optionally, the measurement set is a set of first reference signals, the first reference signals including at least one of the following:

[0178] In the first set of reference signals, there are K1 reference signals whose quality is greater than that of the remaining reference signals;

[0179] In the second set of reference signals, there are K1 reference signals whose quality is greater than that of the remaining reference signals; the second set of reference signals is the set of reference signals used for measurement by the artificial intelligence model.

[0180] Where K1 is an integer greater than or equal to 1.

[0181] Optionally, the first information includes at least one of the following:

[0182] Channel State Information (CSI) Trigger Status Index, CSI Reporting Configuration Index, Index of First Reference Signal Set, Index of Subset of First Reference Signal Set, Reference Signal Index, CSI Reference Signal Resource Indicator, Bitmap, Sequence Number of Subset Combinations of First Reference Signal Set, Number of Reference Signals, Transmission Configuration Indicator (TCI) Status Index.

[0183] Optionally, the application start time of the first information is one of the following:

[0184] The end time of the first duration after the first time slot, where the first time slot is the time slot in which the terminal receives the first information;

[0185] The end time of the first duration after the second time slot, where the second time slot is the time slot in which the terminal sends the HARQ (Hybrid Automatic Repeat Request) feedback of the first information.

[0186] Optionally, the method further includes:

[0187] The measurement set is sent after the application start time of the first information.

[0188] Optionally, the first measurement result includes at least one of the following:

[0189] CSI (Reference Signal Resource Indication), Reference Signal Quality, Prediction Accuracy, and Reference Signal Received Power (RSRP) Difference.

[0190] Optionally, the method further includes:

[0191] Receive third information, the third information being used to request that a second subset of the first reference signal set be used as the measurement set.

[0192] Optionally, the third information includes at least one of the following:

[0193] Index of the first reference signal set, reference signal index, CSI reference signal resource indicator, bitmap, sequence number of subset combination of the first reference signal set, number of reference signals, and index of the subset of the first reference signal set.

[0194] Optionally, the method further includes:

[0195] Receive a second measurement result or a fourth piece of information, the fourth piece of information being used to indicate a second reference signal.

[0196] Optionally, the method further includes:

[0197] The measurement set is determined based on the second measurement result and the correlation.

[0198] As an optional implementation, after receiving the second set of measurements sent by the terminal, the network-side device determines the measurement set based on the second measurement results and the correlation relationship.

[0199] Optionally, the method further includes:

[0200] The measurement set is determined based on the second reference signal and the correlation relationship.

[0201] As an optional implementation, after receiving the fourth information sent by the terminal, the network-side device determines the measurement set based on the second reference signal and the correlation relationship.

[0202] Optionally, the method further includes:

[0203] Send at least one of the following:

[0204] Configuration information of the first reference signal set;

[0205] Configuration information for the second reference signal set;

[0206] Configuration information of a subset of the first reference signal set.

[0207] Optionally, the method further includes:

[0208] Reference signals are transmitted through the transmission resources corresponding to the measurement set.

[0209] It should be noted that this method is implemented in conjunction with the measurement processing method executed by the terminal described above. The implementation of the above method embodiments is applicable to this method and can achieve the same technical effect.

[0210] As shown in Figure 4, an embodiment of this disclosure provides a measurement processing device 400, applied to a terminal, comprising:

[0211] The first receiving module 410 is configured to receive first information or second information; wherein the first information is configured to indicate a first subset of a first reference signal set as a measurement set, and the second information is configured to indicate the association relationship between the reference signal and the subset of the first reference signal set, the association relationship being used to determine the measurement set;

[0212] The first processing module 420 is used to perform measurements based on the reference signals in the measurement set, obtain and report the first measurement result.

[0213] After receiving the first or second information sent by the network-side device, the device can obtain the measurement set. Then, it performs measurements based on the reference signals in the measurement set, obtains and reports the first measurement result. Since the measurement set is a subset of the first reference signal set, the measurement of the measurement set avoids the measurement of the first reference signal set, reducing the network measurement reference signal overhead required for model monitoring and the measurement overhead of the terminal.

[0214] Optionally, the application start time of the first information is one of the following:

[0215] The end time of the first duration after the first time slot, where the first time slot is the time slot in which the terminal receives the first information;

[0216] The end time of the first duration after the second time slot, where the second time slot is the time slot in which the terminal sends the HARQ (Hybrid Automatic Repeat Request) feedback of the first information.

[0217] Optionally, the device further includes:

[0218] The second processing module is used to receive or measure the measurement set after the application start time of the first information.

[0219] Optionally, the first measurement result includes at least one of the following:

[0220] CSI (Reference Signal Resource Indication), Reference Signal Quality, Prediction Accuracy, and Reference Signal Received Power (RSRP) Difference.

[0221] Optionally, the device further includes:

[0222] The second transmitting module is used to transmit third information, which is used to request that a second subset of the first reference signal set be used as the measurement set.

[0223] Optionally, the third information includes at least one of the following:

[0224] Index of the first reference signal set, reference signal index, CSI reference signal resource indicator, bitmap, sequence number of subset combination of the first reference signal set, number of reference signals, and index of the subset of the first reference signal set.

[0225] Optionally, the device further includes:

[0226] The third processing module is used to perform measurements based on the reference signals in the second reference signal set to obtain a second measurement result;

[0227] The fourth processing module is used to determine the measurement set based on the second measurement result and the correlation relationship.

[0228] Optionally, the device further includes:

[0229] The acquisition module is used to acquire the second reference signal obtained by the artificial intelligence model inference. The second reference signal is K2 reference signals in the first reference signal set whose quality is greater than the quality of the remaining reference signals, and K2 is an integer greater than or equal to 1.

[0230] The fourth processing module is used to determine the measurement set based on the second reference signal and the correlation relationship.

[0231] Optionally, the device further includes:

[0232] The third transmitting module is used to transmit the second measurement result or the fourth information, wherein the fourth information is used to indicate the second reference signal.

[0233] Optionally, the device further includes:

[0234] The third receiving module is used to receive at least one of the following:

[0235] Configuration information of the first reference signal set;

[0236] Configuration information for the second reference signal set;

[0237] Configuration information of a subset of the first reference signal set.

[0238] It should be noted that this device is an application of a measurement processing method executed by a terminal. The implementation of the above method embodiment is applicable to this method and can achieve the same technical effect.

[0239] As shown in Figure 5, an embodiment of this disclosure provides a measurement processing device 500, applied to a network-side device, comprising:

[0240] The first transmitting module 510 is used to transmit first information or second information; wherein the first information is used to indicate a first subset of a first reference signal set as a measurement set, and the second information is used to indicate the association relationship between the reference signal and the subset of the first reference signal set, the association relationship being used to determine the measurement set;

[0241] The second receiving module 520 is used to receive the first measurement result, which is obtained by measuring a reference signal based on the measurement set.

[0242] Optionally, the first information includes at least one of the following:

[0243] Channel State Information (CSI) Trigger Status Index, CSI Reporting Configuration Index, Index of First Reference Signal Set, Index of Subset of First Reference Signal Set, Reference Signal Index, CSI Reference Signal Resource Indicator, Bitmap, Sequence Number of Subset Combinations of First Reference Signal Set, Number of Reference Signals, Transmission Configuration Indicator (TCI) Status Index.

[0244] Optionally, the application start time of the first information is one of the following:

[0245] The end time of the first duration after the first time slot, where the first time slot is the time slot in which the terminal receives the first information;

[0246] The end time of the first duration after the second time slot, where the second time slot is the time slot in which the terminal sends the HARQ (Hybrid Automatic Repeat Request) feedback of the first information.

[0247] Optionally, the device further includes:

[0248] The fourth sending module is used to start sending the measurement set after the application start time of the first information.

[0249] Optionally, the first measurement result includes at least one of the following:

[0250] CSI (Reference Signal Resource Indication), Reference Signal Quality, Prediction Accuracy, and Reference Signal Received Power (RSRP) Difference.

[0251] Optionally, the device further includes:

[0252] The fourth receiving module is used to receive third information, which is used to request that a second subset of the first reference signal set be used as the measurement set.

[0253] Optionally, the third information includes at least one of the following:

[0254] Index of the first reference signal set, reference signal index, CSI reference signal resource indicator, bitmap, sequence number of subset combination of the first reference signal set, number of reference signals, and index of the subset of the first reference signal set.

[0255] Optionally, the device further includes:

[0256] The fifth receiving module is used to receive the second measurement result or the fourth information, wherein the fourth information is used to indicate the second reference signal.

[0257] Optionally, the device further includes:

[0258] The fifth processing module is used to determine the measurement set based on the second measurement result and the correlation relationship.

[0259] Optionally, the device further includes:

[0260] The sixth processing module is used to determine the measurement set based on the second reference signal and the correlation relationship.

[0261] Optionally, the device further includes:

[0262] The fifth sending module is used to send at least one of the following:

[0263] Configuration information of the first reference signal set;

[0264] Configuration information for the second reference signal set;

[0265] Configuration information of a subset of the first reference signal set.

[0266] Optionally, the method further includes:

[0267] Reference signals are transmitted through the transmission resources corresponding to the measurement set.

[0268] It should be noted that this device is an apparatus that applies a measurement processing method executed by a network-side device. The implementation of the above method embodiment is applicable to this method and can achieve the same technical effect.

[0269] Embodiments of this disclosure provide a communication device, including a transceiver, a processor, a memory, and a program or instructions stored in the memory and executable on the processor; when the processor executes the program or instructions, it implements the measurement processing method described above.

[0270] If the communication device is a terminal, as shown in FIG6, it includes a transceiver 610, a processor 600, a memory 620, and a program or instruction stored in the memory 620 and executable on the processor 600; when the processor 600 executes the program or instruction, it implements the above-mentioned measurement processing method executed by the terminal.

[0271] The transceiver 610 is used to receive and send data under the control of the processor 600.

[0272] In Figure 6, the bus architecture can include any number of interconnected buses and bridges, specifically linking various circuits of one or more processors represented by processor 600 and memory represented by memory 620. The bus architecture can also link various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. The bus interface provides an interface. Transceiver 610 can be multiple elements, including transmitters and receivers, providing a unit for communicating with various other devices over a transmission medium. For different user equipment, user interface 630 can also be an interface capable of connecting external or internal devices, including but not limited to keypads, displays, speakers, microphones, joysticks, etc.

[0273] The processor 600 is responsible for managing the bus architecture and general processing, while the memory 620 can store the data used by the processor 600 when performing operations.

[0274] If the communication device is a network-side device, as shown in FIG7, it includes a transceiver 710, a processor 700, a memory 720, and a program or instruction stored in the memory 720 and executable on the processor 700; when the processor 700 executes the program or instruction, it implements the measurement processing method executed by the network-side device described above.

[0275] The transceiver 710 is used to receive and send data under the control of the processor 700.

[0276] In Figure 7, the bus architecture may include any number of interconnected buses and bridges, specifically linking various circuits of one or more processors represented by processor 700 and memory represented by memory 720. The bus architecture may also link various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. The bus interface provides an interface. The transceiver 710 may be multiple elements, including transmitters and receivers, providing a unit for communicating with various other devices over a transmission medium. Processor 700 is responsible for managing the bus architecture and general processing, and memory 720 may store data used by processor 700 during operation.

[0277] This disclosure provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the steps in the measurement processing method described above and achieve the same technical effect. To avoid repetition, further details are omitted here.

[0278] The processor is the processor in the communication device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0279] This disclosure also provides a computer program product, including computer instructions. When executed by a processor, these computer instructions implement the various processes of the above-described measurement processing method embodiments and achieve the same technical effects. To avoid repetition, further details are omitted here.

[0280] It should be further noted that the terminals described in this specification include, but are not limited to, smartphones, tablets, etc., and many of the functional components described are referred to as modules in order to more specifically emphasize the independence of their implementation.

[0281] In this disclosure, the module can be implemented in software so that it can be executed by various types of processors. For example, an identified executable code module may include one or more physical or logical blocks of computer instructions, which may be constructed as objects, procedures, or functions. Nevertheless, the executable code of the identified module does not need to be physically located together, but may include different instructions stored in different bits, which, when logically combined, constitute the module and achieve the module's intended purpose.

[0282] In practice, an executable code module can be a single instruction or many instructions, and can even be distributed across multiple different code segments, different programs, and across multiple memory devices. Similarly, operational data can be identified within the module and can be implemented in any suitable form and organized within any suitable type of data structure. This operational data can be collected as a single dataset or distributed across different locations (including different storage devices), and can exist, at least in part, solely as electronic signals within the system or network.

[0283] When a module can be implemented using software, considering the current level of hardware technology, modules that can be implemented in software can be implemented using hardware circuits by those skilled in the art to achieve the corresponding functions, without considering cost. These hardware circuits include conventional Very Large Scale Integration (VLSI) circuits or gate arrays, as well as existing semiconductors such as logic chips and transistors, or other discrete components. Modules can also be implemented using programmable hardware devices, such as field-programmable gate arrays, programmable array logic, and programmable logic devices.

[0284] The exemplary embodiments described above are with reference to the accompanying drawings. Many different forms and embodiments are feasible without departing from the spirit and teaching of this disclosure. Therefore, this disclosure should not be construed as limiting the exemplary embodiments set forth herein. Rather, these exemplary embodiments are provided to make this disclosure complete and convey the scope of this disclosure to those skilled in the art. In these drawings, component dimensions and relative dimensions may be exaggerated for clarity. The terminology used herein is for the purpose of describing particular exemplary embodiments only and is not intended to be limiting. As used herein, unless clearly indicated otherwise, the singular forms “a,” “an,” and “the” are intended to include all such forms. It will be further understood that the terms “comprising” and / or “including”, when used in this specification, indicate the presence of the stated features, integers, steps, operations, components, and / or elements, but do not exclude the presence or addition of one or more other features, integers, steps, operations, components, and / or groups thereof. Unless otherwise indicated, when stated, a range of values ​​includes the upper and lower limits of the range and any subranges in between.

[0285] The above description represents the preferred embodiments of this disclosure. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles described herein, and these improvements and modifications should also be considered within the scope of protection of this disclosure.

Claims

1. A measurement processing method, executed by a terminal, comprising: Receive first information or second information; wherein the first information is used to indicate a first subset of a first reference signal set as a measurement set, and the second information is used to indicate the association relationship between the reference signal and the subset of the first reference signal set, the association relationship being used to determine the measurement set; Measurements are performed based on reference signals in the measurement set, and the first measurement result is obtained and reported.

2. The method of claim 1, wherein, The first information includes at least one of the following: Channel State Information (CSI) Trigger Status Index, CSI Reporting Configuration Index, Index of First Reference Signal Set, Index of Subset of First Reference Signal Set, Reference Signal Index, CSI Reference Signal Resource Indicator, Bitmap, Sequence Number of Subset Combinations of First Reference Signal Set, Number of Reference Signals, Transmission Configuration Indicator (TCI) Status Index.

3. The method of claim 1, wherein, The application start time of the first information is one of the following: The end time of the first duration after the first time slot, where the first time slot is the time slot in which the terminal receives the first information; The end time of the first duration after the second time slot, where the second time slot is the time slot in which the terminal sends the HARQ (Hybrid Automatic Repeat Request) feedback of the first information.

4. The method according to claim 1, further comprising: The measurement set is received or measured after the application start time of the first information.

5. The method of claim 1, wherein, The first measurement result includes at least one of the following: CSI (Reference Signal Resource Indication), Reference Signal Quality, Prediction Accuracy, and Reference Signal Received Power (RSRP) Difference.

6. The method according to claim 1, further comprising: Send a third message, the third message being used to request that a second subset of the first reference signal set be used as the measurement set.

7. The method of claim 6, wherein, The third information includes at least one of the following: Index of the first reference signal set, reference signal index, CSI reference signal resource indicator, bitmap, sequence number of subset combination of the first reference signal set, number of reference signals, and index of the subset of the first reference signal set.

8. The method according to claim 1, further comprising: A second measurement result is obtained by measuring the reference signals in the second set of reference signals. The measurement set is determined based on the second measurement result and the correlation.

9. The method according to claim 1, further comprising: Obtain the second reference signal obtained by the artificial intelligence model inference. The second reference signal is K2 reference signals in the first reference signal set whose quality is greater than that of the remaining reference signals, and K2 is an integer greater than or equal to 1. The measurement set is determined based on the second reference signal and the correlation relationship.

10. The method according to claim 1, further comprising: Send a second measurement result or a fourth message, the fourth message being used to indicate a second reference signal.

11. The method according to claim 1, further comprising: Receive at least one of the following: Configuration information of the first reference signal set; Configuration information for the second reference signal set; Configuration information of a subset of the first reference signal set.

12. A measurement processing method, executed by a network-side device, comprising: Send a first message or a second message; wherein the first message is used to indicate a first subset of a first reference signal set as a measurement set, and the second message is used to indicate the association relationship between the reference signal and the subset of the first reference signal set, the association relationship being used to determine the measurement set; Receive a first measurement result, which is obtained by measuring a reference signal based on the measurement set.

13. The method of claim 12, wherein, The first information includes at least one of the following: Channel State Information (CSI) Trigger Status Index, CSI Reporting Configuration Index, Index of First Reference Signal Set, Index of First Reference Signal Set Subset, Reference Signal Index, CSI Reference Signal Resource Indicator, Bitmap, Sequence Number of Subset Combinations of the First Reference Signal Set, Number of Reference Signals, Transmission Configuration Indicator (TCI) Status Index, and Index of First Reference Signal Subset.

14. The method of claim 12, wherein, The application start time of the first information is one of the following: The end time of the first duration after the first time slot, where the first time slot is the time slot in which the terminal receives the first information; The end time of the first duration after the second time slot, where the second time slot is the time slot in which the terminal sends the HARQ (Hybrid Automatic Repeat Request) feedback of the first information.

15. The method of claim 12, further comprising: The measurement set is sent after the application start time of the first information.

16. The method of claim 12, wherein, The first measurement result includes at least one of the following: CSI (Reference Signal Resource Indication), Reference Signal Quality, Prediction Accuracy, and Reference Signal Received Power (RSRP) Difference.

17. The method of claim 12, further comprising: Receive third information, the third information being used to request that a second subset of the first reference signal set be used as the measurement set.

18. The method of claim 17, wherein, The third information includes at least one of the following: Index of the first reference signal set, reference signal index, CSI reference signal resource indicator, bitmap, sequence number of subset combination of the first reference signal set, number of reference signals, and index of the subset of the first reference signal set.

19. The method of claim 12, further comprising: Receive a second measurement result or a fourth piece of information, the fourth piece of information being used to indicate a second reference signal.

20. The method of claim 19, further comprising: The measurement set is determined based on the second measurement result and the correlation.

21. The method of claim 19, further comprising: The measurement set is determined based on the second reference signal and the correlation relationship.

22. The method of claim 12, further comprising: Send at least one of the following: Configuration information of the first reference signal set; Configuration information for the second reference signal set; Configuration information of a subset of the first reference signal set.

23. The method of claim 12, further comprising: Reference signals are transmitted through the transmission resources corresponding to the measurement set.

24. A measurement processing device, applied to a terminal, comprising: A first receiving module is configured to receive first information or second information; wherein the first information is configured to indicate a first subset of a first reference signal set as a measurement set, and the second information is configured to indicate the association relationship between the reference signal and the subset of the first reference signal set, the association relationship being used to determine the measurement set; The first processing module is used to perform measurements based on the reference signals in the measurement set, obtain and report the first measurement result.

25. A measurement processing apparatus, applied to network-side equipment, comprising: A first transmitting module is configured to transmit first information or second information; wherein the first information is configured to indicate a first subset of a first reference signal set as a measurement set, and the second information is configured to indicate the association relationship between the reference signal and the subset of the first reference signal set, the association relationship being used to determine the measurement set; The second receiving module is used to receive the first measurement result, which is obtained by measuring a reference signal based on the measurement set.

26. A communication device comprising: Transceiver, processor, memory, and programs or instructions stored in the memory and executable on the processor; When the processor executes the program or instructions, it implements the measurement processing method as described in any one of claims 1-11, or the measurement processing method as described in any one of claims 12-23.

27. A readable storage medium having a program or instructions stored thereon, which, when executed by a processor, implement the measurement processing method as claimed in any one of claims 1-11, or the steps of the measurement processing method as claimed in any one of claims 12-23.

28. A computer program product comprising computer instructions that, when executed by a processor, implement the measurement processing method as claimed in any one of claims 1-11, or the steps of the measurement processing method as claimed in any one of claims 12-23.

Images