Configuration method, network side equipment, terminal and storage medium

By configuring multiple resource sets in the CSI reporting configuration, the problem of difficulty in realizing large-scale beam-to-scan is solved in the prior art, and efficient beam-to-scan and artificial intelligence model performance monitoring is achieved.

CN119652372APending Publication Date: 2025-03-18CHINA MOBILE COMM LTD RES INST +1
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Patent Information

Application Number
CN202311204379.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-09-18
Publication Date
2025-03-18

AI Technical Summary

Technical Problem

It is difficult to implement joint scanning of a large number of beam pairs, especially during the data collection or monitoring phase.

Method used

By configuring multiple resource sets in the CSI reporting configuration, periodic or semi-continuous CSI reporting configuration is achieved, thereby supporting the scanning of a large number of beam pairs.

Benefits of technology

A large number of beam pair scanning in a short time is realized, and the ability to collect artificial intelligence model training samples or obtain labels for model performance monitoring is ensured to evaluate and update the performance of artificial intelligence model.

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Abstract

The embodiment of the invention discloses a configuration method, network side equipment, a terminal and a storage medium. The method applied to the network side equipment comprises the following steps: sending channel state information (CSI) reporting configuration to the terminal; wherein in the CSI reporting configuration, a plurality of resource sets are configured or associated, and the CSI reporting configuration is periodic or semi-persistent.
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Description

Technical Field

[0001] The embodiments of the present application relate to the field of communication technology, and in particular to a configuration method, a network side device, a terminal and a storage medium. Background Art

[0002] Existing research results show that artificial intelligence can obtain corresponding gains in multiple fields such as channel state information (CSI) feedback, beam management, and positioning under the existing design framework, showing considerable application prospects. Related research content includes three major use cases of CSI feedback, beam management, and positioning, as well as artificial intelligence model deployment, reasoning, and updating, simulation evaluation methods, etc.

[0003] A typical use case of AI beam management is spatial beam prediction. AI-enabled spatial beam prediction can predict the layer 1-reference signal received power of all beam pairs and select the optimal beam by measuring the layer 1-reference signal received power of some beam pairs, thereby reducing the terminal beam measurement overhead.

[0004] 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. Summary of the invention

[0005] An embodiment of the present application provides a configuration method, a network-side device, a terminal, and a storage medium, which configure multiple resource sets in at least one CSI reporting configuration to support scanning of a large number of beam pairs.

[0006] The technical solution of the embodiment of the present application is implemented as follows:

[0007] The present application provides a configuration method, which is applied to a network side device, and the method includes:

[0008] Send a channel state information CSI reporting configuration to the terminal;

[0009] In the CSI reporting configuration, multiple resource sets are configured, and the CSI reporting configuration is periodic or semi-continuous.

[0010] 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 among the multiple resource sets.

[0011] 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 among the multiple resource sets.

[0012] In the above method, the repetition parameter of each resource set in the multiple resource sets is configured as a parameter representing closing repetition, which is used to indicate that different resource sets use different receiving beams.

[0013] In the above method, the CSI reporting configuration is configured with at least one of the following information:

[0014] Beam prediction type;

[0015] Receive beam assumptions;

[0016] Reporting quantity.

[0017] In the above method, the beam prediction type is one of the following:

[0018] Transmit beam prediction on the network side;

[0019] Transmit beam prediction on the terminal side;

[0020] Network side beam pair prediction;

[0021] Terminal side beam pair prediction.

[0022] In the above method, the receive beam is assumed to be one of the following:

[0023] Optimal receiving beam;

[0024] Suboptimal receive beams;

[0025] Random receive beam;

[0026] Specific receive beam.

[0027] In the above method, the reported amount is at least one of the following:

[0028] Reference signal received power RSRP;

[0029] CSI reference signal resource number CRI;

[0030] The received power of the optimal CSI reference signal top1RSRP;

[0031] The optimal K CSI reference signal resource numbers topKcri; where K is an integer greater than or equal to 1;

[0032] CSI reference signal resource set number CRSI;

[0033] The received power of the optimal CSI reference signal resource set top1setRSRP;

[0034] The sequence number of the best K CSI reference signal resource sets is topKcrsi;

[0035] Receive beam identification RBI;

[0036] Model serial number modelID;

[0037] Function number functionID;

[0038] Alternatively, the reported amount is at least one of the following:

[0039] null;

[0040] Beam prediction accuracy;

[0041] The RSRP difference between the predicted optimal reference signal and the actual optimal reference signal;

[0042] The average value of the RSRP difference between the predicted optimal reference signal and the actual optimal reference signal;

[0043] Whether the actual top K best reference signals include the predicted best reference signal top1 / K;

[0044] Whether the predicted top K best reference signals include the actual best reference signal topK / 1;

[0045] Model serial number modelID;

[0046] Function serial number functionID.

[0047] The present application provides a configuration method, which is applied to a terminal, and the method includes:

[0048] 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.

[0049] 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 among the multiple resource sets.

[0050] 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 among the multiple resource sets.

[0051] In the above method, the repetition parameter of each resource set in the plurality of resource sets is configured as a parameter representing closing repetition;

[0052] Different resource set beam measurements among the multiple resource sets use different receiving beams.

[0053] In the above method, the CSI reporting configuration is configured with at least one of the following information:

[0054] Beam prediction type;

[0055] Receive beam assumptions;

[0056] Reporting quantity.

[0057] In the above method, the beam prediction type is one of the following:

[0058] Transmit beam prediction on the network side;

[0059] Transmit beam prediction on the terminal side;

[0060] Network side beam pair prediction;

[0061] Terminal side beam pair prediction.

[0062] In the above method, the receive beam is assumed to be one of the following:

[0063] Optimal receiving beam;

[0064] Suboptimal receive beams;

[0065] Random receive beam;

[0066] Specific receive beam.

[0067] In the above method, the reported amount is at least one of the following:

[0068] Reference signal received power RSRP;

[0069] CSI reference signal resource number CRI;

[0070] The received power of the optimal CSI reference signal top1RSRP;

[0071] The optimal K CSI reference signal resource numbers topKcri; where K is an integer greater than or equal to 1; the CSI reference signal resource set number CRSI;

[0072] The received power of the optimal CSI reference signal resource set top1setRSRP;

[0073] The sequence number of the best K CSI reference signal resource sets is topKcrsi;

[0074] Receive beam identification RBI;

[0075] Model serial number modelID;

[0076] Function number functionID;

[0077] Alternatively, the reported amount is at least one of the following:

[0078] null;

[0079] Beam prediction accuracy;

[0080] The RSRP difference between the predicted optimal reference signal and the actual optimal reference signal;

[0081] The average value of the RSRP difference between the predicted optimal reference signal and the actual optimal reference signal;

[0082] Whether the actual top K best reference signals include the predicted best reference signal top1 / K;

[0083] Whether the predicted top K best reference signals include the actual best reference signal topK / 1;

[0084] Model serial number modelID;

[0085] Function serial number functionID.

[0086] An embodiment of the present application provides a network side device, including: a first processor, a first memory and a first communication bus;

[0087] The first communication bus is used to implement a communication connection between the first processor and the first memory;

[0088] The first processor is used to execute one or more computer programs stored in the first memory to implement a configuration method applied to a network side device.

[0089] An embodiment of the present application provides a terminal, including: a second processor, a second memory, and a second communication bus;

[0090] The second communication bus is used to realize the communication connection between the second processor and the second memory;

[0091] The second processor is used to execute one or more computer programs stored in the second memory to implement the configuration method applied to the terminal.

[0092] An embodiment of the present application provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned configuration method is implemented.

[0093] The embodiments of the present application provide a configuration method, a network-side device, a terminal and a storage medium. 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 a periodic or semi-continuous CSI reporting configuration, thereby supporting the scanning of a large number of beam pairs 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

[0094] Figure 1 A schematic diagram of a configuration method provided in an embodiment of the present application Figure 1 ;

[0095] Figure 2 A schematic diagram of a configuration method provided in an embodiment of the present application Figure 2 ;

[0096] FIG. 3( a) is a schematic diagram of an exemplary configuration of a resource set and a reference signal provided in an embodiment of the present application. Figure 1 ;

[0097] FIG. 3( b) is a schematic diagram of an exemplary configuration of a resource set and a reference signal provided in an embodiment of the present application. Figure 2 ;

[0098] Figure 4 A schematic diagram of an exemplary CSI reporting configuration provided in an embodiment of the present application;

[0099] Figure 5 A schematic diagram of a network side device provided in an embodiment of the present application Figure 1 ;

[0100] Figure 6 A schematic diagram of a network side device provided in an embodiment of the present application Figure 2 ;

[0101] Figure 7 A schematic diagram of a terminal structure provided in an embodiment of the present application Figure 1 ;

[0102] Figure 8 A schematic diagram of a terminal structure provided in an embodiment of the present application Figure 2 . DETAILED DESCRIPTION

[0103] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0104] The following will specifically describe the technical solution of the present application and how the technical solution of the present application solves the above technical problems through embodiments and in conjunction with the accompanying drawings. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments.

[0105] In addition, the technical solutions described in the embodiments of the present application can be combined arbitrarily without conflict.

[0106] 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 may be a base station, and the terminal may be any electronic device such as a mobile phone or a tablet computer, which is not limited in the embodiment of the present application.

[0107] Figure 1 A schematic diagram of a configuration method provided in an embodiment of the present application Figure 1 .like Figure 1 As shown, in an embodiment of the present application, the configuration method applied to the network side device mainly includes the following steps:

[0108] S101. Send a channel state information CSI reporting configuration to a terminal; wherein, in the CSI reporting configuration, multiple resource sets are configured or associated, and the CSI reporting configuration is periodic or semi-continuous.

[0109] In an embodiment of the present application, the network side device may send a CSI reporting configuration to the terminal, wherein the CSI reporting configuration configures or associates multiple resource sets, and the CSI reporting configuration is periodic or semi-continuous.

[0110] In an embodiment of the present application, the network-side device may expand the number of resource sets configured in a CSI reporting configuration to multiple resource sets, thereby configuring multiple resource sets for the terminal through one CSI reporting configuration.

[0111] 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, each sub-reporting configuration is configured with one resource set in multiple resource sets.

[0112] 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, by configuring a resource set for each sub-reporting configuration, it is possible to configure multiple resource sets for the terminal.

[0113] 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 at least one CSI reporting configuration identifier, and each CSI reporting configuration is configured with one resource set among multiple resource sets.

[0114] 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, it is possible to configure multiple resource sets for the terminal.

[0115] In an embodiment of the present application, the repetition parameter configuration of each resource set in the multiple resource sets can be a parameter representing the closing of repetition, which is used to indicate that different resource sets use different receiving beams. In this case, when the terminal obtains multiple resource sets, different receiving beams are used for different resource set beam measurements.

[0116] Exemplarily, 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:

[0117]

[0118]

[0119] Among them, SubReportConfigId represents the identifier of the sub-report configuration, and RxBeamSwitchamongSet indicates the switching of receiving beams between different resource sets, which is a parameter that represents the closing of repetition. In this way, the terminal can report together after completing the measurement within a resource set cycle.

[0120] 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 receiving beams between different resource sets can also be indicated. The CSI reporting configuration includes the following information:

[0121]

[0122] Among them, assoCSI-ReportConfigId represents the identifier of the associated CSI reporting configuration, and RxBeamSwitchamongSet indicates the switching of receiving beams between different resource sets, which is a parameter that characterizes the closing of repetition. In this way, the terminal can report together after completing the measurement within a resource set period.

[0123] In an embodiment of the present application, the CSI reporting configuration is further configured with at least one of the following information:

[0124] Beam prediction type;

[0125] Receive beam assumptions;

[0126] Reporting quantity.

[0127] It can be understood that in an embodiment of the present application, the beam prediction type, the receiving beam assumption and the reporting amount can be configured in the CSI reporting configuration so that the terminal knows the reporting content.

[0128] Specifically, you can add the following information to the CSI reporting configuration:

[0129]

[0130]

[0131] Among them, nwTxbeampred represents the network side transmit beam prediction, ueTxbeampred represents the terminal side transmit beam prediction, nwbeampairpred represents the network side beam pair prediction, uebeampairpred represents the terminal side beam pair prediction, and the beam prediction type includes one of them.

[0132] Where RxBeamAssumption is one of the following:

[0133] Optimal receiving beam;

[0134] Suboptimal receive beams;

[0135] Random receive beam;

[0136] Specific receive beam.

[0137] It should be noted 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, and 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 optimal 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 is topKcrsi;

[0146] Receive beam identification RBI;

[0147] Model serial number modelID;

[0148] Function serial number functionID.

[0149] It should be noted that in an embodiment of the present application, if the beam prediction type is a network-side transmit beam or a 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 also be represented by a bitmap. Among the optimal K CSI reference signal resource numbers topKcri, the optimal K CSI reference signals can specifically be 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 value of the 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 signal 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 serial number functionID.

[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 of 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, report 1, otherwise report 0. Similarly, for the item of whether the predicted top K optimal reference signals include the actual optimal reference signal topK / 1, if the predicted top K optimal reference signals include the actual optimal reference signal topK / 1, report 1, otherwise report 0.

[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 the embodiments of the present application are not limited.

[0161] Figure 2 A schematic diagram of a configuration method provided in an embodiment of the present application Figure 2 .like Figure 2 As shown, 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, in the CSI reporting configuration, multiple resource sets are configured or associated, and the CSI reporting configuration is periodic or semi-continuous.

[0163] In an embodiment of the present application, corresponding to the above step S101, the terminal receives 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.

[0164] It can be understood that in an embodiment of the present application, the network side device can expand the number of resource sets of a CSI reporting configuration to multiple, 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 a terminal may also be configured with multiple sub-reporting configurations, and each sub-reporting configuration is 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 configures 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 an embodiment of the present application, the terminal can measure 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 report 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 at least one CSI reporting configuration identifier, 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 the associated CSI reporting configurations. 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 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, starting from the moment corresponding to the resource set configured in the CSI reporting configuration, and report based on these measurement results.

[0171] In an embodiment of the present application, the repetition parameter configuration of each resource set in the multiple resource sets may be a parameter representing the closing of repetition, which is used to indicate that different resource sets use different receiving beams. In this case, when the terminal obtains multiple resource sets, different receiving beams are used for different resource set beam measurements. For specific parameters, see the relevant content in the above step S101, which will not be repeated here.

[0172] In an embodiment of the present application, the CSI reporting configuration is further configured with 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] Transmit beam prediction on the terminal side;

[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 optimal 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 is topKcrsi;

[0194] Receive beam identification RBI;

[0195] Model serial number modelID;

[0196] Function number functionID;

[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 value of the 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 signal 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 serial number functionID.

[0206] It should be noted that in the embodiment of the present application, in the CSI reporting configuration, the configured beam prediction type, receiving beam assumption, and reporting amount are consistent with the relevant contents in the above 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 can enable 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 solution proposed in the embodiments of the present application is not only limited to spatial domain beam prediction, but can also be used for time domain beam prediction; it is not only limited to the artificial intelligence model data collection or monitoring stage, but can also be used for beam measurement reporting in the reasoning stage.

[0209] The following is an example to illustrate the relevant contents of the reporting configuration solution introduced from the perspective of the network side device and the terminal.

[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 configurations corresponding to different beam prediction types are as follows:

[0211]

[0212]

[0213]

[0214] 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.

[0215] Exemplarily, 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:

[0216]

[0217] Among them, the sub-reporting configurations of id=2, 3, 4, 5 are the sub-reporting configurations of the CSI reporting configuration of id=1, and the resource sets of the sub-reporting configurations of id=2, 3, 4, 5 contain CSI reference signals of id=0~63, 64~127, 128~191, 192~255 respectively. Starting from the moment corresponding to the CSI resource set in a period of the sub-reporting configuration of id=2, the terminal uses different receiving beams to measure the resource sets of the sub-reporting configurations of id=2, 3, 4, 5 in a period, and reports based on these measurement results. The RSRP of 256 beam pairs measured each time constitutes a sample, which can be used for artificial intelligence model training or performance monitoring.

[0218] For example, the base station has 64 transmit beams and the terminal has 4 receive beams. The CSI resource set period is 80ms. Figure 4 , the CSI reporting configuration is as follows:

[0219]

[0220] Among them, the CSI reporting configurations of id=2, 3, 4 are associated with the CSI reporting configuration of id=1, and the resource sets of the CSI reporting configurations of id=1, 2, 3, 4 contain CSI reference signals of id=0~63, 64~127, 128~191, 192~255 respectively. Starting from the moment corresponding to the CSI resource set in a period of the CSI reporting configuration of id=1, the terminal uses different receiving beams to measure the CSI resource set of the CSI reporting configuration of id=1, 2, 3, 4 in a period, and reports based on these measurement results. The RSRP of 256 beam pairs measured each time constitutes a sample, which can be used for artificial intelligence model training or performance monitoring.

[0221] The embodiment of the present application also provides a network side device. Figure 5 A schematic diagram of a network side device provided in an embodiment of the present application Figure 1 .like Figure 5 As shown, in an embodiment of the present application, the network side device includes:

[0222] The sending module 501 is used to send a channel state information CSI reporting configuration to the terminal;

[0223] In the CSI reporting configuration, multiple resource sets are configured or associated, and the CSI reporting configuration is periodic or semi-continuous.

[0224] 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 among the multiple resource sets.

[0225] 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 among the multiple resource sets.

[0226] In an embodiment of the present application, the repetition parameter of each resource set among the multiple resource sets is configured as a parameter representing closing repetition, which is used to indicate that different resource sets use different receiving beams.

[0227] In an embodiment of the present application, the CSI reporting configuration is configured with at least one of the following information:

[0228] Beam prediction type;

[0229] Receive beam assumptions;

[0230] Reporting quantity.

[0231] In an embodiment of the present application, the beam prediction type is one of the following:

[0232] Transmit beam prediction on the network side;

[0233] Transmit beam prediction on the terminal side;

[0234] Network side beam pair prediction;

[0235] Terminal side beam pair prediction.

[0236] In one embodiment of the present application, the receiving beam is assumed to be one of the following:

[0237] Optimal receiving beam;

[0238] Suboptimal receive beams;

[0239] Random receive beam;

[0240] Specific receive beam.

[0241] In an embodiment of the present application, the reported amount is at least one of the following:

[0242] Reference signal received power RSRP;

[0243] CSI reference signal resource number CRI;

[0244] The received power of the optimal CSI reference signal top1RSRP;

[0245] The optimal K CSI reference signal resource numbers topKcri; where K is an integer greater than or equal to 1;

[0246] CSI reference signal resource set number CRSI;

[0247] The received power of the optimal CSI reference signal resource set top1setRSRP;

[0248] The sequence number of the best K CSI reference signal resource sets is topKcrsi;

[0249] Receive beam identification RBI;

[0250] Model serial number modelID;

[0251] Function number functionID;

[0252] Alternatively, the reported amount is at least one of the following:

[0253] null;

[0254] Beam prediction accuracy;

[0255] The RSRP difference between the predicted optimal reference signal and the actual optimal reference signal;

[0256] The average value of the RSRP difference between the predicted optimal reference signal and the actual optimal reference signal;

[0257] Whether the actual top K best reference signals include the predicted best reference signal top1 / K;

[0258] Whether the predicted top K best reference signals include the actual best reference signal topK / 1;

[0259] Model serial number modelID;

[0260] Function serial number functionID.

[0261] Figure 6 A schematic diagram of a network side device provided in an embodiment of the present application Figure 2 .like Figure 6 As shown, 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;

[0262] The first communication bus 603 is used to implement a communication connection between the first processor 601 and the first memory 602;

[0263] The first processor 601 is used to execute one or more computer programs stored in the first memory 602 to implement a configuration method applied to a network side device.

[0264] The embodiment of the present application also provides a terminal. Figure 7 A schematic diagram of a terminal structure provided in an embodiment of the present application Figure 1 .like Figure 7 As shown, in an embodiment of the present application, the terminal includes:

[0265] The receiving module 701 is used 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.

[0266] 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 among the multiple resource sets.

[0267] 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 among the multiple resource sets.

[0268] 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 representing closing repetition;

[0269] Different resource set beam measurements among the multiple resource sets use different receiving beams.

[0270] In an embodiment of the present application, the CSI reporting configuration is configured with at least one of the following information:

[0271] Beam prediction type;

[0272] Receive beam assumptions;

[0273] Reporting quantity.

[0274] In an embodiment of the present application, the beam prediction type is one of the following:

[0275] Transmit beam prediction on the network side;

[0276] Transmit beam prediction on the terminal side;

[0277] Network side beam pair prediction;

[0278] Terminal side beam pair prediction.

[0279] In one embodiment of the present application, the receiving beam is assumed to be one of the following:

[0280] Optimal receiving beam;

[0281] Suboptimal receive beams;

[0282] Random receive beam;

[0283] Specific receive beam.

[0284] In an embodiment of the present application, the reported amount is at least one of the following:

[0285] Reference signal received power RSRP;

[0286] CSI reference signal resource number CRI;

[0287] The received power of the optimal CSI reference signal top1RSRP;

[0288] The optimal K CSI reference signal resource numbers topKcri; where K is an integer greater than or equal to 1;

[0289] CSI reference signal resource set number CRSI;

[0290] The received power of the optimal CSI reference signal resource set top1setRSRP;

[0291] The sequence number of the best K CSI reference signal resource sets is topKcrsi;

[0292] Receive beam identification RBI;

[0293] Model serial number modelID;

[0294] Function number functionID;

[0295] Alternatively, the reported amount is at least one of the following:

[0296] null;

[0297] Beam prediction accuracy;

[0298] The RSRP difference between the predicted optimal reference signal and the actual optimal reference signal;

[0299] The average value of the RSRP difference between the predicted optimal reference signal and the actual optimal reference signal;

[0300] Whether the actual top K best reference signals include the predicted best reference signal top1 / K;

[0301] Whether the predicted top K best reference signals include the actual best reference signal topK / 1;

[0302] Model serial number modelID;

[0303] Function serial number functionID.

[0304] Figure 8 A schematic diagram of a terminal structure provided in an embodiment of the present application Figure 2 .like Figure 8 As shown, in an embodiment of the present application, the terminal includes: a second processor 801, a second memory 802, and a second communication bus 803;

[0305] The second communication bus 803 is used to implement a communication connection between the second processor 801 and the second memory 802;

[0306] 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.

[0307] The embodiment of the present application provides a computer-readable storage medium on which a computer program is stored, and the computer program implements the above 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 (Random-Access Memory, RAM); or a non-volatile memory (non-volatile memory), such as a read-only memory (Read-Only Memory, ROM), a flash memory (flash memory), a hard disk (Hard Disk Drive, HDD) or a solid-state drive (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.

[0308] 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 in combination with software and hardware. Moreover, 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 disk storage and optical storage, etc.) that contain computer-usable program code.

[0309] The present application is described with reference to implementation flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the process in the flowchart. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0310] 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 manufactured product including an instruction device, which is implemented in the implementation flow diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0311] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for executing the steps in the flowchart. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0312] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by any technician familiar with the technical field within the technical scope disclosed in the utility application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A configuration method, characterized in that: Applied to a network side device, the method includes: 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, characterized in that 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, characterized in that 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, characterized in that: 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, characterized in that 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, characterized in that 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, characterized in that 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, characterized in that 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 contain the actual best reference signal topK / 1 ; Model serial number modelID; Function serial number functionID.

9. A configuration method, characterized in that: Applied to a terminal, the method comprises: 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, characterized in that 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, characterized in that 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.

12. The method according to any one of claims 9 to 11, characterized in that: 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, characterized in that 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, characterized in that 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, characterized in that 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, characterized in that 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, characterized in that: include: a first processor, a first memory, and a first communication bus; The first communication bus is used to implement a communication connection between the first processor and the first memory; The first processor is used to execute one or more computer programs stored in the first memory to implement the configuration method according to any one of claims 1 to 8.

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

19. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the configuration method according to any one of claims 1 to 16 is implemented.