Configuration method, network-side device, terminal, storage medium and computer program product

Abstract

Disclosed in the embodiments of the present application are a configuration method, a network-side device, a terminal, a storage medium and a computer program product. The method, which is applied to a network-side device, comprises: sending a channel state information (CSI) reporting configuration to a terminal, wherein a plurality of resource sets are configured or associated in the CSI reporting configuration, and the CSI reporting configuration is periodic or semi-persistent.

Description

Configuration method, network side device, terminal, storage medium and computer program product

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application is based on the Chinese patent application with application number 202311204379.3, application date September 18, 2023, and application name “A configuration method, network side equipment, terminal and storage medium”, and claims the priority of the Chinese patent application. The entire content of the Chinese patent application is hereby incorporated into this application by introduction. Technical Field

[0003] The embodiments of the present application relate to the field of communication technologies, and in particular to a configuration method, a network-side device, a terminal, a storage medium, and a computer program product. Background Art

[0004] Existing research results indicate that, within existing design frameworks, AI can achieve significant gains in multiple areas, such as channel state information (CSI) feedback, beam management, and positioning, demonstrating promising application prospects. Related research covers three use cases: CSI feedback, beam management, and positioning; AI model deployment, reasoning, and updates; and simulation evaluation methods.

[0005] A typical use case for AI-enabled beam management is spatial beam prediction. AI-enabled spatial beam prediction measures the Layer 1 reference signal received power of some beam pairs, predicts the Layer 1 reference signal received power of all beam pairs, and selects the optimal beam, reducing terminal beam measurement overhead.

[0006] However, during the data collection or monitoring phase, a large number of beam pairs need to be jointly scanned, which is difficult to achieve with existing CSI resource configuration.

[0007] Summary of the Invention

[0008] The embodiments of the present application provide a configuration method, a network-side device, a terminal, a storage medium, and a computer program product, which configure multiple resource sets in at least one CSI reporting configuration to support the scanning of a large number of beam pairs.

[0009] The technical solution of the embodiment of the present application is implemented as follows:

[0010] This embodiment of the present application provides a configuration method, which is applied to a network-side device. The method includes:

[0011] Send a channel state information (CSI) reporting configuration to the terminal;

[0012] The CSI reporting configuration includes multiple resource sets, and the CSI reporting configuration is periodic or semi-continuous.

[0013] In the above method, the CSI reporting configuration is configured with multiple sub-reporting configurations, and each sub-reporting configuration is configured with one resource set from the multiple resource sets.

[0014] In the above method, the CSI reporting configuration is associated with at least one CSI reporting configuration, the CSI reporting configuration is configured with an identifier of the at least one CSI reporting configuration, and each CSI reporting configuration is configured with one resource set from the multiple resource sets.

[0015] In the above method, the repetition parameter of each resource set in the multiple resource sets is configured as a parameter representing disabling repetition, which is used to indicate that different resource sets use different receiving beams.

[0016] In the above method, the CSI reporting configuration includes at least one of the following information:

[0017] Beam prediction type;

[0018] Receive beam assumptions;

[0019] Reporting quantity.

[0020] In the above method, the beam prediction type is one of the following:

[0021] Transmit beam prediction on the network side;

[0022] Terminal-side transmit beam prediction;

[0023] Network-side beam pair prediction;

[0024] Terminal-side beam pair prediction.

[0025] In the above method, the receive beam is assumed to be one of the following:

[0026] Optimal receiving beam;

[0027] Suboptimal receive beams;

[0028] Random receive beam;

[0029] Specific receive beam.

[0030] In the above method, the reported amount is at least one of the following:

[0031] Reference Signal Received Power (RSRP);

[0032] CSI reference signal resource number (CSI-RS Resource Indicator, CRI);

[0033] The received power of the optimal CSI reference signal top1RSRP;

[0034] The top K CSI reference signal resource numbers topKcri; where K is an integer greater than or equal to 1;

[0035] CSI reference signal resource set number (CSI-RS Resource Set Indicator, CRSI);

[0036] The received power of the optimal CSI reference signal resource set top1setRSRP;

[0037] The sequence number of the best K CSI reference signal resource sets topKcrsi;

[0038] Receive beam ID (RBI);

[0039] Model serial number modelID;

[0040] Function ID;

[0041] Alternatively, the reported amount is at least one of the following:

[0042] null;

[0043] Beam prediction accuracy;

[0044] The RSRP difference between the predicted optimal reference signal and the actual optimal reference signal;

[0045] The average RSRP difference between the predicted optimal reference signal and the actual optimal reference signal;

[0046] Whether the actual top K best reference signals include the predicted best reference signals top1 / K;

[0047] Whether the predicted top K best reference signals include the actual best reference signal topK / 1;

[0048] Model serial number modelID;

[0049] Function ID.

[0050] An embodiment of the present application provides a configuration method, applied to a terminal, the method comprising:

[0051] A CSI reporting configuration sent by a network-side device is received; wherein the CSI reporting configuration configures or associates multiple resource sets, and the CSI reporting configuration is periodic or semi-continuous.

[0052] In the above method, the CSI reporting configuration is configured with multiple sub-reporting configurations, and each sub-reporting configuration is configured with one resource set from the multiple resource sets.

[0053] In the above method, the CSI reporting configuration is associated with at least one CSI reporting configuration, the CSI reporting configuration is configured with an identifier of the at least one CSI reporting configuration, and each CSI reporting configuration is configured with one resource set from the multiple resource sets.

[0054] In the above method, the repetition parameter of each resource set in the plurality of resource sets is configured as a parameter indicating that repetition is disabled;

[0055] Different resource set beam measurements in the multiple resource sets use different receiving beams.

[0056] In the above method, the CSI reporting configuration includes at least one of the following information:

[0057] Beam prediction type;

[0058] Receive beam assumptions;

[0059] Reporting quantity.

[0060] In the above method, the beam prediction type is one of the following:

[0061] Transmit beam prediction on the network side;

[0062] Terminal-side transmit beam prediction;

[0063] Network-side beam pair prediction;

[0064] Terminal-side beam pair prediction.

[0065] In the above method, the receive beam is assumed to be one of the following:

[0066] Optimal receiving beam;

[0067] Suboptimal receive beams;

[0068] Random receive beam;

[0069] Specific receive beam.

[0070] In the above method, the reported amount is at least one of the following:

[0071] Reference signal received power RSRP;

[0072] CSI reference signal resource number CRI;

[0073] The received power of the optimal CSI reference signal top1RSRP;

[0074] The top K CSI reference signal resource numbers topKcri; where K is an integer greater than or equal to 1;

[0075] CSI reference signal resource set number CRSI;

[0076] The received power of the optimal CSI reference signal resource set top1setRSRP;

[0077] The sequence number of the best K CSI reference signal resource sets topKcrsi;

[0078] Receive beam identifier RBI;

[0079] Model serial number modelID;

[0080] Function ID;

[0081] Alternatively, the reported amount is at least one of the following:

[0082] null;

[0083] Beam prediction accuracy;

[0084] The RSRP difference between the predicted optimal reference signal and the actual optimal reference signal;

[0085] The average RSRP difference between the predicted optimal reference signal and the actual optimal reference signal;

[0086] Whether the actual top K best reference signals include the predicted best reference signals top1 / K;

[0087] Whether the predicted top K best reference signals include the actual best reference signal topK / 1;

[0088] Model serial number modelID;

[0089] Function ID.

[0090] An embodiment of the present application provides a network-side device, comprising: a first processor, a first memory, and a first communication bus;

[0091] The first communication bus is configured to implement a communication connection between the first processor and the first memory;

[0092] The first processor is configured to execute one or more computer programs stored in the first memory to implement a configuration method applied to a network-side device.

[0093] An embodiment of the present application provides a terminal, comprising: a second processor, a second memory, and a second communication bus;

[0094] The second communication bus is configured to implement a communication connection between the second processor and the second memory;

[0095] The second processor is configured to execute one or more computer programs stored in the second memory to implement a configuration method applied to the terminal.

[0096] An embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which implements the above-mentioned configuration method when executed by a processor.

[0097] An embodiment of the present application provides a computer program product, including a computer program, which implements the above configuration method when executed by a processor.

[0098] The embodiments of the present application provide a configuration method, a network-side device, a terminal, a storage medium, and a computer program product. The method applied to the network-side device includes: sending a channel state information CSI reporting configuration to the terminal; wherein, in the CSI reporting configuration, multiple resource sets are configured or associated, and the CSI reporting configuration is periodic or semi-continuous. The technical solution provided by the embodiments of the present application configures or associates multiple resource sets in the periodic or semi-continuous CSI reporting configuration, thereby supporting the implementation of a large number of beam pair scans in a short period of time, so as to collect artificial intelligence model training samples, or obtain labels for model performance monitoring, which are used for subsequent evaluation of the performance of the artificial intelligence model, and timely update, switch, or fall back to the non-artificial intelligence communication mode when the model performance deteriorates, thereby ensuring basic communication performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0099] FIG1 is a flow chart of a configuration method according to an embodiment of the present application;

[0100] FIG2 is a second flow chart of a configuration method provided in an embodiment of the present application;

[0101] FIG3( a ) is a first schematic diagram of an exemplary configuration of resource sets and reference signals provided in an embodiment of the present application;

[0102] FIG3( b ) is a second schematic diagram of an exemplary configuration of resource sets and reference signals provided in an embodiment of the present application;

[0103] FIG4 is a schematic diagram showing an exemplary CSI reporting configuration according to an embodiment of the present application;

[0104] FIG5 is a first structural diagram of a network-side device provided in an embodiment of the present application;

[0105] FIG6 is a second structural diagram of a network-side device provided in an embodiment of the present application;

[0106] FIG7 is a first structural diagram of a terminal provided in an embodiment of the present application;

[0107] FIG8 is a second structural diagram of a terminal provided in an embodiment of the present application. DETAILED DESCRIPTION

[0108] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0109] The following will specifically describe the technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems through embodiments and in conjunction with the accompanying drawings. The following embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments.

[0110] In addition, the technical solutions described in the embodiments of the present application can be arbitrarily combined without conflict.

[0111] The embodiment of the present application provides a configuration method, which is executed by a network-side device and a terminal respectively. The specific network-side device can be a base station, and the terminal can be any electronic device such as a mobile phone or a tablet computer, which is not limited in the embodiment of the present application.

[0112] FIG1 is a flow chart of a configuration method provided in an embodiment of the present application. As shown in FIG1 , in an embodiment of the present application, the configuration method applied to the network side device mainly includes the following steps:

[0113] S101. Send a channel state information (CSI) reporting configuration to a terminal; wherein the CSI reporting configuration configures or associates multiple resource sets, and the CSI reporting configuration is periodic or semi-continuous.

[0114] In an embodiment of the present application, the network-side device may send a CSI reporting configuration to the terminal, where the CSI reporting configuration configures or associates multiple resource sets, and the CSI reporting configuration is periodic or semi-continuous.

[0115] In an embodiment of the present application, the network-side device may expand the number of resource sets configured in one CSI reporting configuration to multiple resource sets, thereby configuring multiple resource sets for the terminal through one CSI reporting configuration.

[0116] In an embodiment of the present application, the network side device can not only directly expand the number of resource sets of a CSI reporting configuration as described above, but also configure multiple sub-reporting configurations in a CSI reporting configuration, and each sub-reporting configuration is configured with one resource set in multiple resource sets.

[0117] It can be understood that in an embodiment of the present application, the network side device configures multiple associated sub-reporting configurations in the CSI reporting configuration. In this way, a resource set can be configured through each sub-reporting configuration, thereby configuring multiple resource sets for the terminal.

[0118] In an embodiment of the present application, one CSI reporting configuration may be associated with multiple resource sets. Specifically, a CSI reporting configuration is associated with at least one CSI reporting configuration, the CSI reporting configuration is configured with an identifier of at least one CSI reporting configuration, and each CSI reporting configuration is configured with one resource set among multiple resource sets.

[0119] It can be understood that in an embodiment of the present application, the network-side device configures multiple CSI reporting configurations that are associated. Specifically, an association relationship can be established between the identifiers of the associated CSI reporting configurations. In this way, by configuring a resource set in each CSI reporting configuration, multiple resource sets can be configured for the terminal.

[0120] In an embodiment of the present application, the repetition parameter configuration for each resource set in the multiple resource sets may be a parameter indicating that repetition is disabled, thereby indicating that different resource sets use different receive beams. In this case, when the terminal obtains multiple resource sets, different receive beams are used for beam measurements of different resource sets.

[0121] For example, for the above-mentioned solution of configuring multiple sub-reporting configurations in the CSI reporting configuration and configuring one resource set in each sub-reporting configuration, the CSI reporting configuration may include the following information:

[0122] Among them, AIBasedBeamMeasurement represents beam measurement based on artificial intelligence (AI), SEQUENCE represents sequence, NULL is a special keyword indicating an empty or missing value, SubReportConfigId represents the identifier of the sub-reporting configuration, (SIZE(1..maxNrofRxBeam))OF CSI-ReportConfigId represents the number of receive beams of the CSI reporting configuration indicated by the CSI reporting configuration identifier, and RxBeamSwitchamongSet indicates switching receive beams between different resource sets, which is a parameter that represents closing repetition. In this way, the terminal can complete the measurement within a resource set cycle and report together.

[0123] Exemplarily, the above-mentioned CSI reporting configuration is associated with at least one CSI reporting configuration, and a solution of associating multiple resource sets in the CSI reporting configuration is implemented. Switching of receiving beams between different resource sets can also be indicated. The CSI reporting configuration includes the following information:

[0124] Among them, assoCSI-ReportConfigId represents the identifier of the associated CSI reporting configuration, and RxBeamSwitchamongSet indicates switching the receiving beam between different resource sets, which is a parameter that represents the disabling of repetition. In this way, the terminal can complete the measurement within a resource set period and report together.

[0125] In an embodiment of the present application, the CSI reporting configuration further includes at least one of the following information:

[0126] Beam prediction type;

[0127] Receive beam assumptions;

[0128] Reporting quantity.

[0129] It can be understood that in the embodiments of the present application, the beam prediction type, the receiving beam hypothesis and the reporting amount can be configured in the CSI reporting configuration so that the terminal knows the reporting content.

[0130] Specifically, you can add the following information to the CSI reporting configuration:

[0131] Among them, AIBasedBeamMeasurement indicates AI-based beam measurement, BeamPredtyp indicates beam prediction type, nwTxbeampred indicates network-side transmit beam prediction, ueTxbeampred indicates terminal-side transmit beam prediction, nwbeampairpred indicates network-side beam pair prediction, uebeampairpred indicates terminal-side beam pair prediction, and beam prediction type includes one of the following items.

[0132] RxBeamAssumption indicates the receive beam assumption, best indicates the optimal receive beam, specific1 indicates the suboptimal receive beam, specific2 indicates a specific receive beam, and random indicates a random receive beam. The receive beam assumption can be one of the following:

[0133] Optimal receiving beam;

[0134] Suboptimal receive beam;

[0135] Random receive beam;

[0136] Specific receive beam.

[0137] Note that when the beam prediction type is beam pair prediction, the receive beam assumption is none. When the beam prediction type is transmit beam prediction, the receive beam assumption is one of the optimal receive beam (best), the predefined specific receive beam assumptions (specific1 and specific2), or the random receive beam (random).

[0138] In the embodiments of the present application, the reported amount is at least one of the following:

[0139] Reference signal received power RSRP;

[0140] CSI reference signal resource number CRI;

[0141] The received power of the optimal CSI reference signal top1RSRP;

[0142] The top K CSI reference signal resource numbers topKcri; where K is an integer greater than or equal to 1;

[0143] CSI reference signal resource set number CRSI;

[0144] The received power of the optimal CSI reference signal resource set top1setRSRP;

[0145] The sequence number of the best K CSI reference signal resource sets topKcrsi;

[0146] Receive beam identifier RBI;

[0147] Model serial number modelID;

[0148] Function ID.

[0149] It should be noted that in an embodiment of the present application, if the beam prediction type is network-side transmit beam or network-side beam pair prediction, the reported amount may include at least one of the above items. Among them, the CSI reference signal resource number (CSI-RS Resource Indicator, CRI) can be specifically represented by log2P bits, where P is the number of CSI reference signals, or it can be represented by a bitmap. Among the optimal K CSI reference signal resource numbers topKcri, the optimal K CSI reference signals can specifically be the K CSI reference signals with the highest received power (Reference Signal Received Power, RSRP). The CSI reference signal resource set number (CSI-RS Resource Set Indicator, CRSI) can be specifically represented by log2Q bits, where Q is the number of CSI reference signal resource sets, CRI can be represented by log2P bits, where P is the number of CSI reference signals, or CRI and receive beam identifier (Receive Beam ID, RBI), CRSI are represented by bitmap.

[0150] In the embodiment of the present application, the reported amount may also be at least one of the following:

[0151] null;

[0152] Beam prediction accuracy;

[0153] The RSRP difference between the predicted optimal reference signal and the actual optimal reference signal;

[0154] The average RSRP difference between the predicted optimal reference signal and the actual optimal reference signal;

[0155] Whether the actual top K best reference signals include the predicted best reference signals top1 / K;

[0156] Whether the predicted top K best reference signals include the actual best reference signal topK / 1;

[0157] Model serial number modelID;

[0158] Function ID.

[0159] It should be noted that, in an embodiment of the present application, if the beam prediction type is terminal-side transmit beam prediction or terminal-side beam pair prediction, the reporting amount may include at least one of the above items. Among them, the beam prediction accuracy may include the accuracy of the predicted optimal reference signal top1 / K and the accuracy of the actual optimal reference signal topK / 1. In addition, for the item whether the actual top K optimal reference signals include the predicted optimal reference signal top1 / K, if the actual top K optimal reference signals include the predicted optimal reference signal top1 / K, 1 is reported, otherwise 0 is reported. Similarly, for the item whether the predicted top K optimal reference signals include the actual optimal reference signal topK / 1, 1 is reported if the predicted top K optimal reference signals include the actual optimal reference signal topK / 1, otherwise 0 is reported.

[0160] It should be noted that in the embodiments of the present application, in the CSI reporting configuration, the configured beam prediction type, receiving beam assumption, and reporting amount can be set according to actual needs and application scenarios, and are not limited in the embodiments of the present application.

[0161] FIG2 is a flow chart of a configuration method according to an embodiment of the present application. As shown in FIG2 , in an embodiment of the present application, the configuration method applied to the terminal mainly includes the following steps:

[0162] S201. Receive a CSI reporting configuration sent by a network-side device; wherein the CSI reporting configuration configures or associates multiple resource sets, and the CSI reporting configuration is periodic or semi-continuous.

[0163] In an embodiment of the present application, corresponding to the above-mentioned step S101, the terminal receives a CSI reporting configuration sent by the network side device; wherein, in the CSI reporting configuration, multiple resource sets are configured or associated, and the CSI reporting configuration is periodic or semi-continuous.

[0164] It can be understood that in an embodiment of the present application, the network side device can expand the number of resource sets configured in a CSI reporting configuration to multiple resource sets, so that the terminal obtains multiple resource sets by receiving the first CSI reporting configuration configured with multiple resource sets.

[0165] In an embodiment of the present application, a CSI reporting configuration received by the terminal may further be configured with multiple sub-reporting configurations, and each sub-reporting configuration may be configured with one resource set among multiple resource sets.

[0166] It can be understood that in an embodiment of the present application, the network side device configures multiple associated sub-reporting configurations in the CSI reporting configuration, each sub-reporting configuration can configure a resource set, and the terminal thereby obtains multiple resource sets according to the multiple sub-reporting configurations included in the CSI reporting configuration by receiving the CSI reporting configuration.

[0167] It should be noted that in the embodiment of the present application, the terminal measures the resource sets of all sub-reporting configurations within a resource set period starting from the moment corresponding to the resource set of the sub-reporting configuration with the smallest identifier, and reports based on these measurement results.

[0168] In an embodiment of the present application, a CSI reporting configuration received by the terminal may also be associated with at least one CSI reporting configuration; the CSI reporting configuration is configured with an identifier of at least one CSI reporting configuration, and each CSI reporting configuration is configured with a resource set among multiple resource sets.

[0169] It can be understood that in an embodiment of the present application, the network side device configures multiple CSI reporting configurations that are associated. Specifically, an association relationship can be established between the identifiers of each associated CSI reporting configuration. In this way, by configuring a resource set in each CSI reporting configuration, the terminal can obtain multiple resource sets.

[0170] It should be noted that in an embodiment of the present application, the terminal can start from the moment corresponding to the resource set configured for CSI reporting, measure the CSI reporting configuration within a resource set period, and the CSI resource set configured in at least one CSI reporting configuration associated with it, and report based on these measurement results.

[0171] In an embodiment of the present application, the repetition parameter configuration for each of the multiple resource sets may be a parameter indicating that repetition is disabled, thereby indicating that different resource sets use different receive beams. In this case, when the terminal obtains multiple resource sets, different receive beams are used for beam measurement of different resource sets. The specific parameters are detailed in the relevant content of step S101 above and are not further described here.

[0172] In an embodiment of the present application, the CSI reporting configuration further includes at least one of the following information:

[0173] Beam prediction type;

[0174] Receive beam assumptions;

[0175] Reporting quantity.

[0176] In an embodiment of the present application, the beam prediction type is one of the following:

[0177] Transmit beam prediction on the network side;

[0178] Terminal-side transmit beam prediction;

[0179] Network-side beam pair prediction;

[0180] Terminal-side beam pair prediction.

[0181] In the embodiments of the present application, the receive beam is assumed to be one of the following:

[0182] Optimal receiving beam;

[0183] Suboptimal receive beams;

[0184] Random receive beam;

[0185] Specific receive beam.

[0186] In the embodiments of the present application, the reported amount is at least one of the following:

[0187] Reference signal received power RSRP;

[0188] CSI reference signal resource number CRI;

[0189] The received power of the optimal CSI reference signal top1RSRP;

[0190] The top K CSI reference signal resource numbers topKcri; where K is an integer greater than or equal to 1;

[0191] CSI reference signal resource set number CRSI;

[0192] The received power of the optimal CSI reference signal resource set top1setRSRP;

[0193] The sequence number of the best K CSI reference signal resource sets topKcrsi;

[0194] Receive beam identifier RBI;

[0195] Model serial number modelID;

[0196] Function ID;

[0197] Alternatively, the reported amount is at least one of the following:

[0198] null;

[0199] Beam prediction accuracy;

[0200] The RSRP difference between the predicted optimal reference signal and the actual optimal reference signal;

[0201] The average RSRP difference between the predicted optimal reference signal and the actual optimal reference signal;

[0202] Whether the actual top K best reference signals include the predicted best reference signals top1 / K;

[0203] Whether the predicted top K best reference signals include the actual best reference signal topK / 1;

[0204] Model serial number modelID;

[0205] Function ID.

[0206] It should be noted that in the embodiment of the present application, the configured beam prediction type, receiving beam hypothesis, and reporting amount in the CSI reporting configuration are consistent with the relevant contents in the above-mentioned step S101 and will not be repeated here.

[0207] It can be understood that in an embodiment of the present application, configuring or associating multiple resource sets in a periodic or semi-continuous CSI reporting configuration enables the network side device to achieve a short time, for example, a large number of beam pair scanning within a cycle, so that the terminal / network side device can collect artificial intelligence model training samples, or obtain labels for model performance monitoring, so as to subsequently evaluate the performance of the artificial intelligence model, and timely update / switch / fall back to the non-artificial intelligence communication mode when the model performance deteriorates, to ensure basic communication performance.

[0208] It should be noted that the technical solutions proposed in the embodiments of this application are not only limited to spatial domain beam prediction, but can also be used for time domain beam prediction. They are not only limited to the artificial intelligence model data collection or monitoring stage, but can also be used for beam measurement reporting in the inference stage.

[0209] The following examples illustrate the relevant contents of the reporting configuration solution introduced from the perspective of network-side devices and terminals.

[0210] For example, in an embodiment of the present application, the base station (network-side device) has a total of 64 transmit beams and the terminal has 4 receive beams. For transmit beam / beam pair prediction, data collection requires scanning all 256 beam pairs. The CSI reporting configuration corresponding to different beam prediction types is shown in Table 1 below:

[0211] Table 1

[0212] Among them, the RSRP of 256 beam pairs reported in each measurement constitutes a sample, which can be used for artificial intelligence model training or performance monitoring.

[0213] For example, the base station has 64 transmit beams and the terminal has 4 receive beams. The CSI resource set period is 80ms. Combined with the above scheme of configuring multiple sub-reporting configurations in one CSI reporting configuration, and configuring one resource set in each sub-reporting configuration, the specific CSI reporting configuration is as follows:

[0214] CSI-ReportConfig represents the CSI reporting configuration, and reportConfigId represents the reporting configuration identifier, specifically the CSI reporting configuration identifier (CSI-ReportConfigId). Sub-reporting configurations with IDs 2, 3, 4, and 5 are sub-reporting configurations of the CSI reporting configuration with ID 1. The resource sets of sub-reporting configurations with IDs 2, 3, 4, and 5 contain CSI reference signals with IDs 0 to 63, 64 to 127, 128 to 191, and 192 to 255, respectively. Starting at the time corresponding to the CSI resource set within a period of the sub-reporting configuration with ID 2, the terminal uses different receive beams to measure the resource sets of the sub-reporting configurations with IDs 2, 3, 4, and 5 within a period, and reports based on these measurement results. The RSRP of each measured 256 beam pairs constitutes a sample, which can be used for artificial intelligence model training or performance monitoring.

[0215] For example, the base station has 64 transmit beams and the terminal has 4 receive beams. The CSI resource set period is 80ms. In conjunction with the above-mentioned solution of associating multiple resource sets with one CSI reporting configuration, see Figure 4. The CSI reporting configuration is as follows:

[0216] CSI reporting configurations with IDs 2, 3, and 4 are associated with the CSI reporting configuration with ID 1. The resource sets for these CSI reporting configurations contain CSI reference signals with IDs 0 to 63, 64 to 127, 128 to 191, and 192 to 255, respectively. Starting at the time corresponding to the CSI resource set within a period of the CSI reporting configuration with ID 1, the terminal uses different receive beams to measure the CSI resource sets for the CSI reporting configurations with IDs 1, 2, 3, and 4 within a period and reports based on these measurement results. The RSRP of each of the 256 beam pairs measured constitutes a sample, which can be used for AI model training or performance monitoring.

[0217] The present application also provides a network side device. FIG5 is a structural diagram of a network side device provided in the present application. As shown in FIG5, in the embodiment of the present application, the network side device includes:

[0218] The sending module 501 is configured to send a channel state information CSI reporting configuration to the terminal;

[0219] In the CSI reporting configuration, multiple resource sets are configured or associated, and the CSI reporting configuration is periodic or semi-continuous.

[0220] In an embodiment of the present application, the CSI reporting configuration is configured with multiple sub-reporting configurations, and each sub-reporting configuration is configured with one resource set from the multiple resource sets.

[0221] In an embodiment of the present application, the CSI reporting configuration is associated with at least one CSI reporting configuration, the CSI reporting configuration is configured with an identifier of the at least one CSI reporting configuration, and each CSI reporting configuration is configured with one resource set from the multiple resource sets.

[0222] In an embodiment of the present application, the repetition parameter of each resource set in the multiple resource sets is configured as a parameter representing disabling repetition, which is used to indicate that different resource sets use different receiving beams.

[0223] In one embodiment of the present application, the CSI reporting configuration includes at least one of the following information:

[0224] Beam prediction type;

[0225] Receive beam assumptions;

[0226] Reporting quantity.

[0227] In an embodiment of the present application, the beam prediction type is one of the following:

[0228] Transmit beam prediction on the network side;

[0229] Terminal-side transmit beam prediction;

[0230] Network-side beam pair prediction;

[0231] Terminal-side beam pair prediction.

[0232] In one embodiment of the present application, the receive beam is assumed to be one of the following:

[0233] Optimal receiving beam;

[0234] Suboptimal receive beam;

[0235] Random receive beam;

[0236] Specific receive beam.

[0237] In one embodiment of the present application, the reported amount is at least one of the following:

[0238] Reference signal received power RSRP;

[0239] CSI reference signal resource number CRI;

[0240] The received power of the optimal CSI reference signal top1RSRP;

[0241] The top K CSI reference signal resource numbers topKcri; where K is an integer greater than or equal to 1;

[0242] CSI reference signal resource set number CRSI;

[0243] The received power of the optimal CSI reference signal resource set top1setRSRP;

[0244] The sequence number of the best K CSI reference signal resource sets topKcrsi;

[0245] Receive beam identifier RBI;

[0246] Model serial number modelID;

[0247] Function ID;

[0248] Alternatively, the reported amount is at least one of the following:

[0249] null;

[0250] Beam prediction accuracy;

[0251] The RSRP difference between the predicted optimal reference signal and the actual optimal reference signal;

[0252] The average RSRP difference between the predicted optimal reference signal and the actual optimal reference signal;

[0253] Whether the actual top K best reference signals include the predicted best reference signals top1 / K;

[0254] Whether the predicted top K best reference signals include the actual best reference signal topK / 1;

[0255] Model serial number modelID;

[0256] Function ID.

[0257] Figure 6 is a second structural diagram of a network side device provided in an embodiment of the present application. As shown in Figure 6, in an embodiment of the present application, the network side device includes: a first processor 601, a first memory 602, and a first communication bus 603;

[0258] The first communication bus 603 is configured to implement a communication connection between the first processor 601 and the first memory 602;

[0259] The first processor 601 is configured to execute one or more computer programs stored in the first memory 602 to implement a configuration method applied to a network-side device.

[0260] The present application also provides a terminal. FIG7 is a structural diagram of a terminal provided in the present application. As shown in FIG7 , in the embodiment of the present application, the terminal includes:

[0261] The receiving module 701 is configured to receive a CSI reporting configuration sent by a network-side device; wherein, in the CSI reporting configuration, multiple resource sets are configured or associated, and the CSI reporting configuration is periodic or semi-continuous.

[0262] In an embodiment of the present application, the CSI reporting configuration is configured with multiple sub-reporting configurations, and each sub-reporting configuration is configured with one resource set from the multiple resource sets.

[0263] In an embodiment of the present application, the CSI reporting configuration is associated with at least one CSI reporting configuration, the CSI reporting configuration is configured with an identifier of the at least one CSI reporting configuration, and each CSI reporting configuration is configured with one resource set from the multiple resource sets.

[0264] In an embodiment of the present application, the repetition parameter of each resource set in the plurality of resource sets is configured as a parameter indicating that repetition is disabled;

[0265] Different resource set beam measurements in the multiple resource sets use different receiving beams.

[0266] In one embodiment of the present application, the CSI reporting configuration includes at least one of the following information:

[0267] Beam prediction type;

[0268] Receive beam assumptions;

[0269] Reporting quantity.

[0270] In an embodiment of the present application, the beam prediction type is one of the following:

[0271] Transmit beam prediction on the network side;

[0272] Terminal-side transmit beam prediction;

[0273] Network-side beam pair prediction;

[0274] Terminal-side beam pair prediction.

[0275] In one embodiment of the present application, the receive beam is assumed to be one of the following:

[0276] Optimal receiving beam;

[0277] Suboptimal receive beams;

[0278] Random receive beam;

[0279] Specific receive beam.

[0280] In one embodiment of the present application, the reported amount is at least one of the following:

[0281] Reference signal received power RSRP;

[0282] CSI reference signal resource number CRI;

[0283] The received power of the optimal CSI reference signal top1RSRP;

[0284] The top K CSI reference signal resource numbers topKcri; where K is an integer greater than or equal to 1;

[0285] CSI reference signal resource set number CRSI;

[0286] The received power of the optimal CSI reference signal resource set top1setRSRP;

[0287] The sequence number of the best K CSI reference signal resource sets topKcrsi;

[0288] Receive beam identifier RBI;

[0289] Model serial number modelID;

[0290] Function ID;

[0291] Alternatively, the reported amount is at least one of the following:

[0292] null;

[0293] Beam prediction accuracy;

[0294] The RSRP difference between the predicted optimal reference signal and the actual optimal reference signal;

[0295] The average RSRP difference between the predicted optimal reference signal and the actual optimal reference signal;

[0296] Whether the actual top K best reference signals include the predicted best reference signals top1 / K;

[0297] Whether the predicted top K best reference signals include the actual best reference signal topK / 1;

[0298] Model serial number modelID;

[0299] Function ID.

[0300] Figure 8 is a second structural diagram of a terminal provided in an embodiment of the present application. As shown in Figure 8, in an embodiment of the present application, the terminal includes: a second processor 801, a second memory 802, and a second communication bus 803;

[0301] The second communication bus 803 is configured to implement a communication connection between the second processor 801 and the second memory 802;

[0302] The second processor 801 is configured to execute one or more computer programs stored in the second memory 802 to implement a configuration method applied to a terminal.

[0303] An embodiment of the present application provides a computer program product, including a computer program, which implements the above configuration method when executed by a processor.

[0304] The embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which implements the above-mentioned configuration method when executed by a processor. The computer-readable storage medium can be a volatile memory (volatile memory), such as a random-access memory (RAM); or a non-volatile memory (non-volatile memory), such as a read-only memory (ROM), a flash memory, a hard disk drive (HDD), or a solid-state drive (SSD); or it can be a respective device including one or any combination of the above memories, such as a mobile phone, a computer, a tablet device, a personal digital assistant, etc.

[0305] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of hardware embodiments, software embodiments, or embodiments combining software and hardware. Furthermore, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage and optical storage, etc.) containing computer-usable program code.

[0306] The present application is described with reference to the implementation flow diagram and / or block diagram of the method, device (system) and computer program product according to the embodiment of the present application. It should be understood that each flow and / or box in the flow diagram and / or block diagram and the combination of the flow and / or box in the flow diagram and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processing machine or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for realizing the function specified in one flow diagram or multiple flows and / or one block or multiple blocks of the block diagram.

[0307] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction device that implements the functions specified in implementing one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0308] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0309] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this utility model should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A configuration method, applied to a network side device, comprising: Send a channel state information CSI reporting configuration to the terminal; In the CSI reporting configuration, multiple resource sets are configured or associated, and the CSI reporting configuration is periodic or semi-continuous.

2. The method according to claim 1, wherein: The CSI reporting configuration is configured with multiple sub-reporting configurations, and each sub-reporting configuration is configured with one resource set among the multiple resource sets.

3. The method according to claim 1, wherein: The CSI reporting configuration is associated with at least one CSI reporting configuration, the CSI reporting configuration is configured with an identifier of the at least one CSI reporting configuration, and each CSI reporting configuration is configured with one resource set among the multiple resource sets.

4. The method according to claim 1, wherein: The repetition parameter of each resource set among the multiple resource sets is configured as a parameter representing closing repetition, and is used to indicate that different resource sets use different receiving beams.

5. The method according to claim 1, wherein: The CSI reporting configuration is configured with at least one of the following information: Beam prediction type; Receive beam assumptions; Reporting quantity.

6. The method according to claim 5, wherein: The beam prediction type is one of the following: Transmit beam prediction on the network side; Transmit beam prediction on the terminal side; Network side beam pair prediction; Terminal side beam pair prediction.

7. The method according to claim 5, wherein: The receive beam is assumed to be one of the following: Optimal receiving beam; Suboptimal receive beams; Random receive beam; Specific receive beam.

8. The method according to claim 5, wherein: The reported amount is at least one of the following: Reference signal received power RSRP; CSI reference signal resource number CRI; The received power of the optimal CSI reference signal top1RSRP; The optimal K CSI reference signal resource numbers topKcri; where K is an integer greater than or equal to 1; CSI reference signal resource set number CRSI; The received power of the optimal CSI reference signal resource set top1setRSRP; The sequence number of the best K CSI reference signal resource sets is topKcrsi; Receive beam identification RBI; Model serial number modelID; Function number functionID; Alternatively, the reported amount is at least one of the following: null; Beam prediction accuracy; The RSRP difference between the predicted optimal reference signal and the actual optimal reference signal; The average value of the RSRP difference between the predicted optimal reference signal and the actual optimal reference signal; Whether the actual top K best reference signals include the predicted best reference signal top1 / K; Whether the predicted top K best reference signals include the actual best reference signal topK / 1; Model serial number modelID; Function serial number functionID.

9. A configuration method, applied to a terminal, the method comprising: A CSI reporting configuration sent by a network side device is received; wherein, in the CSI reporting configuration, multiple resource sets are configured or associated, and the CSI reporting configuration is periodic or semi-continuous.

10. The method according to claim 9, wherein: The CSI reporting configuration is configured with multiple sub-reporting configurations, and each sub-reporting configuration is configured with one resource set among the multiple resource sets.

11. The method according to claim 9, wherein: The CSI reporting configuration is associated with at least one CSI reporting configuration, the CSI reporting configuration is configured with an identifier of the at least one CSI reporting configuration, and each CSI reporting configuration is configured with a resource in the multiple resource sets. set.

12. The method according to any one of claims 9 to 11, wherein: The repetition parameter of each resource set in the plurality of resource sets is configured as a parameter indicating disabling repetition; Different resource set beam measurements among the multiple resource sets use different receiving beams.

13. The method according to claim 9, wherein: The CSI reporting configuration is configured with at least one of the following information: Beam prediction type; Receive beam assumptions; Reporting quantity.

14. The method according to claim 13, wherein: The beam prediction type is one of the following: Transmit beam prediction on the network side; Transmit beam prediction on the terminal side; Network side beam pair prediction; Terminal side beam pair prediction.

15. The method according to claim 13, wherein: The receive beam is assumed to be one of the following: Optimal receiving beam; Suboptimal receive beams; Random receive beam; Specific receive beam.

16. The method according to claim 13, wherein: The reported amount is at least one of the following: Reference signal received power RSRP; CSI reference signal resource number CRI; The received power of the optimal CSI reference signal top1RSRP; The optimal K CSI reference signal resource numbers topKcri; where K is an integer greater than or equal to 1; CSI reference signal resource set number CRSI; The received power of the optimal CSI reference signal resource set top1setRSRP; The sequence number of the best K CSI reference signal resource sets is topKcrsi; Receive beam identification RBI; Model serial number modelID; Function number functionID; Alternatively, the reported amount is at least one of the following: null; Beam prediction accuracy; The RSRP difference between the predicted optimal reference signal and the actual optimal reference signal; The average value of the RSRP difference between the predicted optimal reference signal and the actual optimal reference signal; Whether the actual top K best reference signals include the predicted best reference signal top1 / K; Whether the predicted top K best reference signals include the actual best reference signal topK / 1; Model serial number modelID; Function serial number functionID.

17. A network side device, comprising: a first processor, a first memory, and a first communication bus; The first communication bus is configured to implement a communication connection between the first processor and the first memory; The first processor is configured to execute one or more computer programs stored in the first memory to implement the configuration method described in any one of claims 1-8.

18. A terminal, comprising: a second processor, a second memory, and a second communication bus; The second communication bus is configured to implement a communication connection between the second processor and the second memory; The second processor is configured to execute one or more computer programs stored in the second memory to implement the configuration method described in any one of claims 9 to 16.

19. A computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the configuration method according to any one of claims 1 to 16.

20. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the configuration method according to any one of claims 1 to 16 is implemented.

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