CSI reporting method and its device, equipment, and storage medium

The CSI reporting method addresses inefficiencies in current methods by using differential and non-uniform quantization with AI modules to efficiently transmit CSI report quantity sets, reducing overhead and improving accuracy in rapidly changing wireless environments.

JP7828481B2Active Publication Date: 2026-03-11CHINA MOBILE COMM LTD RES INST +1
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Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2023-05-17
Publication Date
2026-03-11

AI Technical Summary

Technical Problem

Current CSI reporting methods in wireless communication have low efficiency, particularly in high-frequency and high-speed mobile scenarios where channel conditions change rapidly, leading to increased overhead and beam failure.

Method used

A CSI reporting method that includes transmitting N report quantity sets, each containing an index of at least one reference signal and its corresponding L1-RSRP or L1-SINR, with differential and non-uniform quantization techniques to reduce bit overhead, and utilizing AI modules for efficient reporting.

Benefits of technology

This approach reduces CSI reporting overhead and improves efficiency by allowing all reference signals to be reported at once in the form of quantity sets, enhancing CSI reporting accuracy and reducing the probability of beam failure.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present disclosure provides a CSI reporting method, apparatus, device, and storage medium. Here, the method includes transmitting a channel state information (CSI) report to a network device, the CSI report including N sets of reporting amounts, each set of reporting amounts including an index of at least one reference signal and a layer 1 reference signal received power (L1-RSRP) or a layer 1 signal-to-interference-plus-noise ratio (L1-SINR) corresponding to the at least one reference signal, where N represents the number of sets of reporting amounts set by the network device, and N is a positive integer.
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Description

[Technical Field]

[0001] The present disclosure relates to the field of wireless communication technology, and in particular to a CSI reporting method and an apparatus, device, and storage medium thereof.

[0002] (CROSS-REFERENCE TO RELATED APPLICATIONS) This application claims priority from application number 202210553989.3, filed with the China Patent Office on May 20, 2022, the entire contents of which are incorporated herein by reference. [Background technology]

[0003] Currently, reporting of channel state information (CSI) includes two reporting methods. The first is a normal reporting method, i.e., when a parameter groupBasedBeamReporting configured by a network device is set to Disable, the terminal reports two or four reference signals. The second is a group-based reporting method, i.e., when a parameter groupBasedBeamReporting configured by a network device is set to Enable, the terminal reports two reference signals at a time. However, both CSI reporting methods have low efficiency. Summary of the Invention [Problem to be solved by the invention]

[0004] In view of this, an embodiment of the present disclosure aims to provide a CSI reporting method, an apparatus, a device, and a storage medium therefor. [Means for solving the problem]

[0005] The technical solutions of the embodiments of the present disclosure are realized as follows:

[0006] At least one embodiment of the present disclosure provides a CSI reporting method, performed by a terminal, the method comprising: transmitting a CSI report to a network device, the CSI report including N report quantity sets, each report quantity set including an index of at least one reference signal and a Layer One-Reference Signal Receive Power (L1-RSRP) or a Layer One-Signal to Interference plus Noise Ratio (L1-SINR) corresponding to the at least one reference signal; Here, N represents the number of reporting quantity sets set by the network device, and N is a positive integer.

[0007] Furthermore, according to at least one embodiment of the present disclosure, a slot to be applied to at least one reference signal in each report quantity set and an L1-RSRP or an L1-SINR corresponding to the at least one reference signal is determined based on a first period set by the network device.

[0008] Further, in accordance with at least one embodiment of the present disclosure, the method further comprises: The method further includes quantizing the maximum L1-RSRP value or maximum L1-SINR value in the N report quantity sets by K bits, and using the maximum L1-RSRP value or maximum L1-SINR value as a reference to calculate the difference between each of the other L1-RSRP values ​​or L1-SINR values ​​in the N report quantity sets except for the maximum L1-RSRP value or maximum L1-SINR value, thereby obtaining a differential L1-RSRP value or a differential L1-SINR value, wherein the differential L1-RSRP value or the differential L1-SINR value is quantized by P bits, where K and P are both positive integers and K is greater than P.

[0009] Furthermore, according to at least one embodiment of the present disclosure, the CSI report further includes indication information, which indicates location information of the maximum L1-RSRP value or the maximum L1-SINR value in at least one L1-RSRP or L1-SINR included in the N report quantity sets.

[0010] Further, in accordance with at least one embodiment of the present disclosure, the method further comprises: The method further includes performing non-uniform quantization on the L1-RSRP values ​​or L1-SINR values ​​corresponding to each reference signal in the N reporting quantity sets by a first artificial intelligence (AI) module.

[0011] Furthermore, according to at least one embodiment of the present disclosure, the total number of bits for performing non-uniform quantization on the L1-RSRP values ​​or L1-SINR values ​​corresponding to each reference signal in the N report quantity sets is less than a first threshold.

[0012] Further, in accordance with at least one embodiment of the present disclosure, the method further comprises: The method further includes obtaining auxiliary information transmitted from the network device, where the auxiliary information includes channel state information and / or scheduling information.

[0013] Further, in accordance with at least one embodiment of the present disclosure, the method further comprises: The method further includes transmitting the related information of the first AI module to the network device.

[0014] Further, in accordance with at least one embodiment of the present disclosure, the method further comprises: If the M reporting quantity sets include multiple reporting quantity sets that satisfy a predetermined condition, the method further includes retaining one reporting quantity set from the multiple reporting quantity sets, and excluding other reporting quantity sets from the M reporting quantity sets among the multiple reporting quantity sets except for the retained one reporting quantity set, to obtain N reporting quantity sets, where M is a positive integer, and M is equal to or greater than N.

[0015] Furthermore, according to at least one embodiment of the present disclosure, the CSI report further includes an index of at least one reference signal in the excluded other reporting quantity set, or the CSI report further includes an L1-RSRP or an L1-SINR corresponding to at least one reference signal in the excluded other reporting quantity set.

[0016] Furthermore, according to at least one embodiment of the present disclosure, satisfying the predetermined condition is In the plurality of report quantity sets, the indexes of the reference signals for each of two report quantity sets are all the same or partially the same; or For each of two report quantity sets among the plurality of report quantity sets, a ratio between an L1-RSRP or an L1-SINR corresponding to each reference signal in one of the two report quantity sets and an L1-RSRP or an L1-SINR corresponding to each reference signal in the other report quantity set is calculated to obtain a plurality of ratios, and all of the plurality of ratios are smaller than a second threshold value; or For each of two report quantity sets among the plurality of report quantity sets, a difference between an L1-RSRP or an L1-SINR corresponding to each reference signal in one of the two report quantity sets and an L1-RSRP or an L1-SINR corresponding to each reference signal in the other report quantity set is calculated to obtain a plurality of differences, and all of the plurality of differences are smaller than a second threshold.

[0017] An embodiment of the present disclosure provides a CSI reporting method, performed by a network device, the method comprising: receiving a CSI report transmitted from a terminal, the CSI report including N report quantity sets, each report quantity set including an index of at least one reference signal and an L1-RSRP or an L1-SINR corresponding to the at least one reference signal; Here, N represents the number of reporting quantity sets set by the network device, and N is a positive integer.

[0018] Furthermore, according to at least one embodiment of the present disclosure, a slot to be applied to at least one reference signal in each report quantity set and an L1-RSRP or an L1-SINR corresponding to the at least one reference signal is determined based on a first period set by the network device.

[0019] Further, in accordance with at least one embodiment of the present disclosure, the method further comprises: The method further includes setting the number N of reporting quantity sets and the first period for the terminal.

[0020] Furthermore, according to at least one embodiment of the present disclosure, the CSI report further includes indication information, which indicates location information of the maximum L1-RSRP value or the maximum L1-SINR value in at least one L1-RSRP or L1-SINR included in the N report quantity sets.

[0021] Further, in accordance with at least one embodiment of the present disclosure, the method further comprises: The method further includes recovering, by a second AI module, the L1-RSRP or the L1-SINR of each reference signal of the non-uniformly quantized N report quantity sets.

[0022] Furthermore, according to at least one embodiment of the present disclosure, the total number of bits for performing non-uniform quantization on the L1-RSRP values ​​or L1-SINR values ​​corresponding to each reference signal in the N report quantity sets is less than a first threshold.

[0023] Further, in accordance with at least one embodiment of the present disclosure, the method further comprises: The method further includes transmitting auxiliary information to the terminal, where the auxiliary information includes channel state information and / or scheduling information.

[0024] Further, in accordance with at least one embodiment of the present disclosure, the method further comprises: The method further includes receiving related information of the first AI module sent from the terminal.

[0025] Furthermore, according to at least one embodiment of the present disclosure, if there are multiple report quantity sets among the M report quantity sets that satisfy a predetermined condition, The method further includes retaining one reporting quantity set from the plurality of reporting quantity sets, and excluding other reporting quantity sets from the plurality of reporting quantity sets, except for the retained one reporting quantity set, from M reporting quantity sets to obtain N reporting quantity sets, where M is a positive integer, and M is equal to or greater than N.

[0026] Further, according to at least one embodiment of the present disclosure, the CSI report further includes an index of at least one reference signal in the excluded other reporting quantity set; or The CSI report further includes an L1-RSRP or an L1-SINR corresponding to at least one reference signal in the excluded other reporting quantity set.

[0027] Furthermore, according to at least one embodiment of the present disclosure, satisfying the predetermined condition is In the plurality of report quantity sets, the indexes of the reference signals for each of two report quantity sets are all the same or partially the same; or For each of two report quantity sets among the plurality of report quantity sets, a ratio between an L1-RSRP or an L1-SINR corresponding to each reference signal in one of the two report quantity sets and an L1-RSRP or an L1-SINR corresponding to each reference signal in the other report quantity set is calculated to obtain a plurality of ratios, and all of the plurality of ratios are smaller than a second threshold value; or For each of two report quantity sets among the plurality of report quantity sets, a difference between an L1-RSRP or an L1-SINR corresponding to each reference signal in one of the two report quantity sets and an L1-RSRP or an L1-SINR corresponding to each reference signal in the other report quantity set is calculated to obtain a plurality of differences, and all of the plurality of differences are smaller than a second threshold.

[0028] An embodiment of the present disclosure provides a CSI reporting device, the device comprising: a transmitting unit configured to transmit a CSI report to a network device, the CSI report including N report quantity sets, each report quantity set including an index of at least one reference signal and an L1-RSRP or an L1-SINR corresponding to the at least one reference signal; Here, N represents the number of reporting quantity sets set by the network device, and N is a positive integer.

[0029] An embodiment of the present disclosure provides a CSI reporting device, the device comprising: The present invention also includes a receiving unit configured to receive a CSI report transmitted from a terminal, the CSI report including N report quantity sets, each report quantity set including an index of at least one reference signal and an L1-RSRP or an L1-SINR corresponding to the at least one reference signal, where N represents the number of report quantity sets configured by the network device, and N is a positive integer.

[0030] At least one embodiment of the present disclosure provides a terminal including a first processor and a first memory storing a computer program executable by the processor; Here, the first processor executes the computer program to perform all the processes in any one of the above terminal-side methods.

[0031] At least one embodiment of the present disclosure provides a network device including a second processor and a second memory storing a computer program executable by the processor; Here, the second processor executes the computer program to perform all of the processes in any one of the above network device-side methods.

[0032] At least one embodiment of the present disclosure provides a storage medium having stored thereon a computer program for causing a processor to perform all of the steps in any one of the above methods. [Effects of the Invention]

[0033] According to a CSI reporting method, an apparatus, a device, and a storage medium thereof provided by an embodiment of the present disclosure, a CSI report is sent to a network device, the CSI report including N report quantity sets, each report quantity set including an index of at least one reference signal and an L1-RSRP or an L1-SINR corresponding to the at least one reference signal, where N represents the number of report quantity sets configured by the network device and is a positive integer. According to a technical solution according to an embodiment of the present disclosure, a terminal transmits all reference signals to be reported to the network device at once in the form of report quantity sets, thereby reducing the number of reports and improving CSI reporting efficiency. [Brief explanation of the drawings]

[0034] [Figure 1] FIG. 10 is a diagram showing a terminal in the related art reporting two beams at a time. [Figure 2] 1 is an exemplary flowchart 1 of an implementation of a CSI reporting method according to an embodiment of the present disclosure. [Figure 3] A diagram showing how a terminal and a network device in an embodiment of the present disclosure use their respective AI modules to perform non-uniform quantization and restoration on L1-RSRP values ​​or L1-SINR values. [Figure 4]2 is an exemplary flowchart 2 of an implementation of a CSI reporting method according to an embodiment of the present disclosure. [Figure 5] 1 is an exemplary structural diagram of a CSI reporting device configuration according to an embodiment of the present disclosure; [Figure 6] 2 is an exemplary structural diagram of a CSI reporting device configuration according to an embodiment of the present disclosure; [Figure 7] FIG. 2 is an exemplary structural diagram of a terminal configuration according to an embodiment of the present disclosure; [Figure 8] FIG. 2 is an exemplary structural diagram of a network device configuration according to an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0035] Before introducing the technical solutions of the embodiments of the present disclosure, the related art will be described first.

[0036] In the related technology, in downlink beam reporting (i.e., CSI reporting) based on Layer One-Reference Signal Receive Power (L1-RSRP), the CSI reporting is configured by a CSI reporting configuration (CSI-ReportConfig).

[0037] Table 1 shows an overview of the two reporting methods used in the related art to report beams. As shown in Table 1, the following two reporting methods may be included: The first is a normal reporting method in which groupBasedBeamReporting is set to Disable and a terminal reports two or four reference signals; the second is a group-based reporting method in which groupBasedBeamReporting is set to Enable and a terminal reports two synchronization signal block (SSB) resource indicators (SSBRIs) or two channel state information reference signal (CSI-RS) resource indicators (CRIs) at a time. The beams corresponding to these two SSBRIs / CRIs are two beams that can be received simultaneously. Both CSI reporting methods have low efficiency.

[0038] [Table 1]

[0039] 1 is a diagram showing that a terminal in the related art reports two beams at a time. As shown in FIG. 1, in the case of a multi-panel or wide beam, the base station can transmit services to the terminal using these two beams simultaneously, improving the multi-stream transmission capability of the high-frequency analog beam.

[0040] Currently, in the 5G design framework of related technologies, AI has demonstrated great potential for application, offering significant benefits in many areas, including Demodulation Reference Signal (DMRS) detection, CSI-RS overhead reduction, CSI feedback, beam management, and positioning. Wireless AI research includes three use cases: CSI feedback, beam management, and positioning, as well as AI model deployment, inference, update, and simulation evaluation methods. A typical beam management use case involves beam prediction in the time and spatial domains to reduce overhead and latency and improve beam selection accuracy. Table 2 provides an overview of the SIDs for air interface AI use cases.

[0041] [Table 2]

[0042] In the related art, CSI beam reporting has the following technical problems. First, in the CSI reporting framework, each CSI report can only report up to four beams and their corresponding L1-RSRP / L1-SINR. Second, the reported beam index and corresponding L1-RSRP / L1-SINR are based on the CSI-RS / SSB transmitted by the base station in the past, meaning that it is not possible to report L1-RSRP or L1-SINR within a certain period of time in the future. Third, in high-frequency and high-speed mobile scenarios, the channel is highly time-varying and the beam changes rapidly, resulting in a high probability of beam failure. To adapt to such scenarios, the CSI reporting framework requires more frequent beam measurement and beam reporting, which adds reference signal and CSI reporting overhead to the base station and measurement and reporting overhead to the terminal, and also more stringently tests the reference signal capacity and interference in the network. Fourth, in the time-series-based L1-RSRP or L1-SINR reporting scheme, nrofTimeDomainBeamReporting (abbreviated as N) × nrofReportedRS (abbreviated as M) SSBRI / CRI are fed back in one CSI report, and for each SSBRI / CRI, the corresponding L1-RSRP / L1-SINR is reported. For L1-RSRP, L1-RSRP is represented by 7 bits within the range of [-140,-44] dBm with a step size of 1 dB, and for L1-SINR, L1-SINR is represented by 7 bits within the range of [-23,40] dBm with a step size of 0.5 dB. In a single feedback, 7×N×Mbits are required to carry L1-RSRP / L1-SINR, which may impose a significant uplink channel overhead on the system. Therefore, how to carry L1-RSRP / L1-SINR required for CSI reporting with fewer bits has become an urgent problem to be solved.

[0043] In view of this, in an embodiment of the present disclosure, a terminal transmits a CSI report to a network device, and the CSI report includes N report quantity sets, and each report quantity set includes an index of at least one reference signal and an L1-RSRP or an L1-SINR corresponding to the at least one reference signal, where N indicates the number of report quantity sets configured by the network device, and N is a positive integer.

[0044] FIG. 2 is an exemplary flowchart of an implementation of a CSI reporting method according to an embodiment of the present disclosure, which is performed by a terminal. As shown in FIG. 2 , the method includes step 201.

[0045] In step 201, a CSI report is sent to a network device, and the CSI report includes N report quantity sets, each report quantity set including an index of at least one reference signal and an L1-RSRP or an L1-SINR corresponding to the at least one reference signal, where N indicates the number of report quantity sets configured by the network device, and N is a positive integer.

[0046] It can be understood that the reference signal includes a beam, and the index refers to SSBRI / CRI.

[0047] It can be understood that when a terminal reports multiple reference signals to a network device, the terminal can transmit all reference signals to be reported at once to the network device in the form of a report quantity set.

[0048] For example, assuming N is 2, the first report quantity set includes an index of one reference signal and the corresponding L1-RSRP or L1-SINR, and the second report quantity set includes indices of two reference signals and the corresponding L1-RSRP or L1-SINR, and the specific forms of the two report quantity sets may be as follows: {CRI_0, L1-RSRP0}, {CRI_1, L1-RSRP1, CRI_2, L1-RSRP2}. or {CRI_0, L1-SINR0}, {CRI_1, L1-SINR1, CRI_2, L1-SINR2}.

[0049] In practical application, the terminal may indicate a reference signal to be used by the network device for a certain period in the future, i.e., the terminal may predict a reference signal to be used by the network device within a plurality of fixed periods after the terminal transmits a CSI report.

[0050] Based on this, in one embodiment, a slot to be applied to at least one reference signal in each report quantity set and the L1-RSRP or L1-SINR corresponding to the at least one reference signal is determined based on a first period set by the network device.

[0051] Here, the first period may refer to a CSI reporting time domain period.

[0052] Here, if the CSI reporting time domain period is denoted by PeriodofTimeDomainBeamReporting, then the slot applied to at least one reference signal in the i-th reporting quantity set can be determined using i×PeriodofTimeDomainBeamReporting.

[0053] For example, assume there are two reporting quantity sets, the first reporting quantity set including one reference signal index and the corresponding L1-RSRP or L1-SINR, the second reporting quantity set including two reference signal indexes and the corresponding L1-RSRP or L1-SINR, and the CSI reporting time domain period is PeriodofTimeDomainBeamReporting=5 ms. The slots applicable to the reference signals and the corresponding L1-RSRP or L1-SINR in the first reporting quantity set are indicated by 1×5 ms=5 ms, i.e., at the first time instant (1×5 ms=5 ms), the reference signals and the corresponding L1-RSRP or L1-SINR in the first reporting quantity set are used. The slots applicable to the two reference signals and the corresponding L1-RSRP or L1-SINR in the second reporting quantity set are indicated by 2×5 ms=10 ms, i.e., at the second time instant (2×5 ms=10 ms), the two reference signals and the corresponding L1-RSRP or L1-SINR in the second reporting quantity set are used. The specific form of the two sets of report quantities can be shown as follows: {CRI_0,0,L1-RSRP0}, {CRI_1,1, L1-RSRP1, CRI_1,2, L1-RSRP2}, or {CRI_0,0,L1-SINR0}, {CRI_1,1, L1-SINR1, CRI_1,2, L1-SINR2}.

[0054] Here, CRI_i,j denotes reference signal j at time i×PeriodofTimeDomainBeamReporting, where i∈{0,...,nrofTimeDomainBeamReporting-1}, j∈{0,...,nrofReportedRS-1}.

[0055] It can be understood that the network device can send a CSI reporting configuration to the terminal to configure the number N of reporting quantity sets and a first period for the terminal. The network device can introduce the number N of reporting quantity sets and a first period into a CSI-ReportConfig IE of RRC. The number of reporting quantity sets can be indicated by an nrofTimeDomainBeamReporting parameter, and the first period can be indicated by a PeriodofTimeDomainBeamReporting parameter. The terminal can send the N reporting quantity sets to the network device by adopting one of the following methods:

[0056] The first method is regular reporting.

[0057] Specifically, when the parameter groupBasedBeamReporting introduced by the network device in the RRC CSI-ReportConfig IE is set to Disable, the terminal can report nrofTimeDomainBeamReporting(N) report quantity sets in one report, each of which includes nrofReportedRS(M) SSBRI / CRI, and the i-th report quantity set is applied to i×PeriodofTimeDomainBeamReporting slots after the CSI reporting time.

[0058] For example, when the parameter groupBasedBeamReporting introduced by the network device in the RRC CSI-ReportConfig IE is set to Disable, the network device sets nrofTimeDomainBeamReporting=4 and nrofReportedRS=2 in the RRC CSI-ReportConfig. Specifically, the four reporting quantity sets that the terminal can report may be as follows: {CRI_0,0, L1-RSRP0, CRI_0,1, L1-RSRP1}, {CRI_1,0, L1-RSRP0, CRI_1,1, L1-RSRP1}, {CRI_2,0, L1-RSRP0, CRI_2,1, L1-RSRP1}, {CRI_3,0, L1-RSRP0, CRI_3,1, L1-RSRP1, CRI_3,2, L1-RSRP2}.

[0059] Here, CRI_i,j denotes reference signal j at time i×PeriodofTimeDomainBeamReporting, where i∈{0,...,nrofTimeDomainBeamReporting-1}, j∈{0,...,nrofReportedRS-1}.

[0060] The second method is group-based reporting.

[0061] Specifically, when the parameter groupBasedBeamReporting introduced by the network device in the CSI-ReportConfig IE of RRC is set to Enable, the terminal can report nrofTimeDomainBeamReporting(N) report quantity sets in one report, where each report quantity set includes two SSBRI / CRI, and the beams corresponding to these two SSBRI / CRI are two beams that can be received simultaneously. For example, in the case of multi-panel or wide beam, the network device, e.g., a base station, can transmit services to the terminal using these two beams simultaneously, thereby improving the multi-stream transmission capability of high frequency analog beams.

[0062] For example, when the parameter groupBasedBeamReporting introduced by the network device in the RRC CSI-ReportConfig IE is set to Enable, the network device sets nrofTimeDomainBeamReporting=2 in the RRC CSI-ReportConfig. Specifically, the two sets of reporting quantities that the terminal can report may be as follows: {CRI_0,0, L1-RSRP0, CRI_0,1, L1-RSRP1}, {CRI_1,0, L1-RSRP0, CRI_1,1, L1-RSRP1}.

[0063] Here, CRI_i,j denotes reference signal j at time i×PeriodofTimeDomainBeamReporting, where i∈{0,...,nrofTimeDomainBeamReporting-1}, j∈{0,...,nrofReportedRS-1}.

[0064] Below we explain how to save the reporting bit overhead for each case.

[0065] In the first case, differential quantization is used to save bit overhead in reporting.

[0066] In practical applications, considering that the numerical ranges of the L1-RSRP or L1-SINR of each reference signal are different, quantizing the L1-RSRP or L1-SINR of each reference signal in the N report quantity sets using the same bits will result in increased bit overhead. Therefore, the maximum L1-RSRP or L1-SINR can be selected and the difference between each of the other L1-RSRPs and the maximum L1-RSRP can be calculated to obtain a difference value, or the difference between each of the other L1-SINRs and the maximum L1-SINR can be calculated to obtain a difference value. In this way, the maximum L1-RSRP or L1-SINR can be quantized using a relatively large number of bits, and the difference value can be quantized using a relatively small number of bits.

[0067] Based on this, in one embodiment, the method comprises: further comprising quantizing a maximum L1-RSRP value or a maximum L1-SINR value in the N report quantity sets by K bits, and using the maximum L1-RSRP value or the maximum L1-SINR value as a reference to calculate differences between each of the other L1-RSRP values ​​or L1-SINR values ​​in the N report quantity sets except for the maximum L1-RSRP value or the maximum L1-SINR value, thereby obtaining differential L1-RSRP values ​​or differential L1-SINR values, wherein the differential L1-RSRP values ​​or differential L1-SINR values ​​are quantized by P bits; Here, K and P are both positive integers, and K is greater than P.

[0068] For example, assuming N is 2, the first report quantity set includes an index of one reference signal and the corresponding L1-RSRP or L1-SINR, and the second report quantity set includes indices of two reference signals and the corresponding L1-RSRP or L1-SINR, and the two report quantity sets may be specifically as follows: {CRI_0, L1-SINR0}, {CRI_1, L1-SINR1, CRI_2, L1-SINR2}.

[0069] Here, assuming that the maximum L1-SINR is L1-SINR0, K=7, and P=4, the difference between L1-SINR1 and L1-SINR0, and the difference between L1-SINR2 and L1-SINR0 are calculated to obtain two differential L1-SINR values. Assume that L1-SINR0 is quantized with 7 bits and is 0000111. Assume that both the two differential L1-SINR values ​​are quantized with 4 bits and are 0110 and 0101, respectively, to obtain two quantized report quantity sets.

[0070] In practical application, in order to enable the network equipment to recover the corresponding L1-RSRP or L1-SINR, the terminal can indicate to the network equipment the position of the maximum L1-RSRP or maximum L1-SINR in at least one L1-RSRP or L1-SINR included in the N report quantity sets, so that the network equipment can recover the maximum L1-RSRP value or maximum L1-SINR value based on K bits and recover the remaining L1-RSRP or L1-SINR using P bits.

[0071] Based on this, in one embodiment, the CSI report further includes indication information, which indicates location information of the maximum L1-RSRP value or maximum L1-SINR value in at least one L1-RSRP or L1-SINR included in the N report quantity sets.

[0072] For example, assume that the network device sets nrofTimeDomainBeamReporting=N and nrofReportedRS=M in the RRC CSI-ReportConfig. The terminal reports N report quantity sets, each of which includes M SSBRI / CRI and corresponding L1-RSRP or L1-SINR. The maximum L1-RSRP or L1-SINR is quantized by K bits, where K bits may indicate an L1-RSRP or L1-SINR within a specific dBm range. The other (N×M)−1 L1-RSRP or L1-SINR are quantized by P bits, where P bits indicate a difference between the other L1-RSRP and the maximum L1-RSRP, or a difference between the other L1-SINR and the maximum L1-SINR. Here, P <Kである。

[0073] Furthermore, the terminal uses an indication information bitmap of length log(N×M) to indicate the position of the maximum L1-RSRP or maximum L1-SINR in at least one L1-RSRP or L1-SINR included in the N report quantity sets. In this way, the network device can recover the maximum L1-RSRP value or maximum L1-SINR value using K bits based on the indication information bitmap, and recover the other L1-RSRP or L1-SINR value using P bits.

[0074] For example, one report requires N × M (N = 2, M = 4) SSBRI / CRI and corresponding L1-RSRP / L1-SINR. Assuming that N × M = 2 × 4 = 8 L1-RSRPs are reported, the maximum L1-RSRP is quantized with 7 bits, which indicate an L1-RSRP in the range of [-140, -44] dBm, with a step size of 1 dB. A 3-bit bitmap can indicate the position of the maximum L1-RSRP among the eight L1-RSRPs. The other seven L1-RSRPs are quantized with 4 bits, which indicate the difference from the maximum L1-RSRP, with a step size of 2 dB.

[0075] Assuming that N × M = 2 × 4 = 8 L1-SINRs are reported, the maximum L1-SINR is quantized with 7 bits to indicate an L1-SINR in the range [-23, 40] dBm, with a step size of 1 dB, and a 3-bit long bitmap indicates the position of the maximum L1-SINR among the 8 L1-SINRs. The other 7 L1-SINRs are quantized with 4 bits, with the 4 bits indicating the difference from the maximum L1-SINR, with a step size of 2 dB.

[0076] Table 3 shows how differential quantization can be used to save bit overhead for reporting. As shown in Table 3, it is assumed that the network device configures the terminal to report N CSI reports, reporting M reference signal indices and corresponding L1-RSRPs or L1-SINRs each time, and transmitting B CSI-RSs or SSBs each time.

[0077] [Table 3]

[0078] In the second case, non-uniform quantization is used to save reporting bit overhead.

[0079] In practical applications, AI can provide significant benefits in many areas, such as DMRS detection, CSI-RS overhead reduction, CSI feedback, beam management, and positioning, demonstrating great application potential. Therefore, the terminal may be provided with a first AI module that performs non-uniform quantization on the L1-RSRP or L1-SINR values ​​of each reference signal in the N report quantity sets. The network device may be provided with a second AI module that restores the non-uniformly quantized L1-RSRP or L1-SINR of each reference signal in the N report quantity sets.

[0080] Based on this, in one embodiment, the method comprises: The method further includes performing, by the first AI module, non-uniform quantization on the L1-RSRP value or the L1-SINR value corresponding to each reference signal in the N report quantity sets.

[0081] It can be understood that the non-uniform quantization may refer to using different numbers of bits to quantize the L1-RSRP or L1-SINR of each reference signal in the N report quantity sets.

[0082] It can be understood that the number of bits used to quantize the L1-RSRP or L1-SINR can be determined based on the value range of the L1-RSRP or L1-SINR of each reference signal, for example, the first bit is used for quantization of the L1-RSRP or L1-SINR in a first value range, and the second bit is used for quantization of the L1-RSRP or L1-SINR in a second value range.

[0083] For example, assuming N is 2, the first report quantity set includes one reference signal index and corresponding L1-SINR, and the second report quantity set includes two reference signal indexes and corresponding L1-SINR, and the two report quantity sets may be specifically as follows: {CRI_0, L1-SINR0}, {CRI_1, L1-SINR1, CRI_2, L1-SINR2}.

[0084] Here, the terminal uses a trained quantization algorithm, i.e., the first AI module, to determine the number of bits (assumed to be 7 bits) to be used for quantizing L1-SINR0 based on the numerical range of L1-SINR0, determine the number of bits (assumed to be 4 bits) to be used for quantizing L1-SINR1 based on the numerical range of L1-SINR1, and determine the number of bits (assumed to be 2 bits) to be used for quantizing L1-SINR2 based on the numerical range of L1-SINR2.

[0085] Furthermore, the terminal reports the three unquantized L1-SINRs to the network equipment, which then uses a trained dequantization algorithm, i.e., the second AI module, to restore the first L1-SINR0, which is quantized with 7 bits, the second L1-SINR1, which is quantized with 4 bits, and the third L1-SINR2, which is quantized with 2 bits.

[0086] In one embodiment, the total number of bits for performing non-uniform quantization on the L1-RSRP or L1-SINR values ​​corresponding to each reference signal in the N report quantity sets is less than a first threshold.

[0087] For example, the total number of bits for the terminal to perform non-uniform quantization on the L1-RSRP or L1-SINR values ​​of N×M reference signals by the first AI module is A bits, where A is less than a first threshold, where A may be set by the RRC sent from the network equipment, or A may be a fixed determined value.

[0088] In practical application, the terminal may use a first AI module to perform non-uniform quantization on the L1-RSRP or L1-SINR values ​​of each reference signal in the N report quantity sets, and send the report quantity sets obtained by non-uniform quantization to a network device, so that the network device may use a second AI module to restore the L1-RSRP or L1-SINR of each reference signal in the report quantity sets obtained by non-uniform quantization. To ensure that the terminal and the network device use corresponding AI modules, the network device may send auxiliary information to the terminal, expecting the terminal to select an AI module based on the auxiliary information, so that the terminal can use an AI module matching the auxiliary information to achieve non-uniform quantization of the L1-RSRP or L1-SINR, and the network device can use an AI module matching the auxiliary information to restore the non-uniformly quantized L1-RSRP or L1-SINR.

[0089] Based on this, in one embodiment, the method comprises: The method further includes obtaining auxiliary information transmitted from the network device, where the auxiliary information includes channel state information and / or scheduling information.

[0090] Here, after obtaining the auxiliary information, the terminal can select an AI module that matches the auxiliary information from a predetermined database, and the selected AI module that matches the auxiliary information is the first AI module.

[0091] 3 is a diagram illustrating that a terminal and a network device use their respective AI modules to perform non-uniform quantization and restoration on L1-RSRP or L1-SINR values. As shown in FIG. 3, the terminal uses a trained quantization algorithm, i.e., an AI encoding module, to perform non-uniform quantization on the L1-RSRP or L1-SINR values ​​of N×M reference signals. The network device uses a trained dequantization algorithm, i.e., an AI decoding module, to restore the non-uniformly quantized L1-RSRP or L1-SINR values.

[0092] For example, suppose a terminal reports two L1-RSRPs or L1-SINRs. The terminal quantizes the first L1-RSRP or L1-SINR with 1 bit and the second L1-RSRP or L1-SINR with 2 bits using a trained quantization algorithm, i.e., a first AI module. The terminal reports the two unquantized L1-RSRPs or L1-SINRs to a network device. The network device restores the first L1-RSRP or L1-SINR quantized with 1 bit and the second L1-RSRP or L1-SINR quantized with 2 bits using a trained dequantization algorithm, i.e., a second AI module.

[0093] It can be understood that the network equipment can further instruct the terminal to select one or more of the AI ​​modules based on changes in channel conditions and channel overhead, in which the process of non-uniform quantization between multiple AI models is not affected, and only the inference efficiency of the terminal is affected.

[0094] It can be understood that when the network device indicates an AI module, it can also indicate related information such as the accuracy, complexity, calculation time, etc. of the AI ​​module, so that the terminal can select a corresponding first AI module from the predetermined database based on the related information.

[0095] In practical application, the terminal can further customize and select a first AI module and send related information of the selected first AI module to the network equipment, so that the network equipment uses a second AI module corresponding to the first AI module to restore the non-uniformly quantized L1-RSRP or L1-SINR.

[0096] Based on this, in one embodiment, the method comprises: The method further includes transmitting related information of the selected first AI module to the network device.

[0097] Here, the terminal may randomly select one AI module from a predetermined database as a first AI module and transmit related information about the selected first AI module to the network device. The related information may include related information such as accuracy, complexity, and calculation time. The predetermined database may store multiple AI modules.

[0098] It can be understood that the terminal can report the relevant information of one or more AI modules selected by it to the network equipment via MAC CE or UCI based on its own status.

[0099] It can be understood that after receiving the related information of the first module sent from the terminal, the network device can use the related information to determine the second AI module that matches the first AI module.

[0100] It can be understood that the first AI module can be deployed on the terminal side and the second AI module can be deployed on the network equipment side, and the AI ​​module may specifically refer to an AI / machine learning (ML) training and inference module, and training and inference parameters such as convolutional layer weights can also be interacted between the terminal and the network equipment.

[0101] In addition, to ensure that the terminal and the network equipment use corresponding AI modules, the terminal can send related information of the first AI module to the network equipment, expecting the network equipment to select an AI module based on the related information, so that the terminal can use the first AI module to realize non-uniform quantization of L1-RSRP or L1-SINR, and the network equipment can restore the non-uniform quantized L1-RSRP or L1-SINR using a second AI module that matches the related information.

[0102] Table 4 shows that the terminal saves bit overhead of reporting by non-uniform quantization. As shown in Table 4, it is assumed that the network device configures the terminal to report N CSI reports, reporting M reference signal indices and corresponding L1-RSRPs or L1-SINRs each time, and transmitting B CSI-RSs or SSBs each time.

[0103] [Table 4]

[0104] In the third case, the number of reported L1-RSRPs or L1-SINRs is reduced to save reporting bit overhead.

[0105] In practical application, considering that the terminal can predict reference signals that the network device will use in a certain period of time in the future, if the indexes of the reference signals predicted for multiple fixed periods in the future to be used by the network device are the same, only one reference signal index and corresponding L1-RSRP or L1-SINR may be reported for the multiple fixed periods. Alternatively, if the L1-RSRP or L1-SINRs of the reference signals predicted for multiple fixed periods in the future to be used by the network device are the same or if the L1-RSRP or L1-SINRs of the reference signals predicted for multiple fixed periods in the future to be used by the network device are similar in size, only one reference signal index and corresponding L1-RSRP or L1-SINR may be reported for the multiple fixed periods. That is, the number of L1-RSRPs or L1-SINRs to be reported may be reduced by performing conditional screening on multiple reference signals to be reported in the form of a report quantity set.

[0106] Based on this, in one embodiment, the method comprises: If there are multiple report quantity sets that satisfy a predetermined condition among the M report quantity sets, The method further includes: retaining one reporting quantity set from the plurality of reporting quantity sets; and excluding the other reporting quantity sets from the plurality of reporting quantity sets, except for the retained one reporting quantity set, from M reporting quantity sets to obtain N reporting quantity sets; Here, M is a positive integer, and M is equal to or greater than N.

[0107] As can be understood, satisfying the predetermined conditions means: In the plurality of report quantity sets, the indexes of the reference signals for each of two report quantity sets are all the same or partially the same; or For each of two report quantity sets among the plurality of report quantity sets, a ratio between an L1-RSRP or an L1-SINR corresponding to each reference signal in one of the two report quantity sets and an L1-RSRP or an L1-SINR corresponding to each reference signal in the other report quantity set is calculated to obtain a plurality of ratios, and all of the plurality of ratios are smaller than a second threshold value; or For each of two report quantity sets among the plurality of report quantity sets, a difference between an L1-RSRP or an L1-SINR corresponding to each reference signal in one of the two report quantity sets and an L1-RSRP or an L1-SINR corresponding to each reference signal in the other report quantity set is calculated to obtain a plurality of differences, and all of the plurality of differences are smaller than a second threshold.

[0108] In one embodiment, the CSI report further includes an index of at least one reference signal in the excluded other reporting quantity set, or the CSI report further includes an L1-RSRP or an L1-SINR corresponding to at least one reference signal in the excluded other reporting quantity set.

[0109] When reporting the index of at least one reference signal in an excluded report quantity set, the index of at least one reference signal in the report quantity set can be set as a specific value, indicating that the index indicated at the previous or subsequent time will be adopted at this time. Alternatively, when reporting L1-RSRP or L1-SINR corresponding to at least one reference signal in an excluded report quantity set, the L1-RSRP or L1-SINR corresponding to at least one reference signal in the report quantity set can be set as a specific value, indicating that the L1-RSRP or L1-SINR indicated at the previous or subsequent time will be adopted at this time.

[0110] In example 1, the network device sets nrofTimeDomainBeamReporting=4 and nrofReportedRS=2 in the CSI-ReportConfig of the RRC. The four reporting quantity sets calculated by the terminal are as follows: {CRI_0,0, CRI_0,1, L1-SINR0, L1-SINR1}, {CRI_0,0, CRI_0,1, L1-SINR0, L1-SINR1}, {CRI_2,0, CRI_2,1, L1-SINR0, L1-SINR1}, {CRI_3,0, CRI_3,1, L1-SINR0, L1-SINR1}.

[0111] Here, since the indexes of the reference signals of the first and second report quantity sets are all the same, one of the two report quantity sets is kept, and the other report quantity set is excluded from the four report quantity sets, and the three report quantity sets to be reported are specifically as follows: {CRI_0,0, CRI_0,1, L1-SINR0, L1-SINR1}, {CRI_2,0, CRI_2,1, L1-SINR0, L1-SINR1}, {CRI_3,0, CRI_3,1, L1-SINR0, L1-SINR1}, or {CRI_0,0,CRI_0,1}, {CRI_0,0, CRI_0,1, L1-SINR0, L1-SINR1}, {CRI_2,0, CRI_2,1, L1-SINR0, L1-SINR1}, {CRI_3,0, CRI_3,1, L1-SINR0, L1-SINR1}, or {CRI_0,0, CRI_0,1, L1-SINR0, L1-SINR1}, {CRI_0,0,CRI_0,1}, {CRI_2,0, CRI_2,1, L1-SINR0, L1-SINR1}, {CRI_3,0, CRI_3,1, L1-SINR0, L1-SINR1}, or {L1-SINR0, L1-SINR1}, {CRI_0,0, CRI_0,1, L1-SINR0, L1-SINR1}, {CRI_2,0, CRI_2,1, L1-SINR0, L1-SINR1}, {CRI_3,0, CRI_3,1, L1-SINR0, L1-SINR1}, or {CRI_0,0, CRI_0,1, L1-SINR0, L1-SINR1}, {L1-SINR0, L1-SINR1}, {CRI_2,0, CRI_2,1, L1-SINR0, L1-SINR1}, {CRI_3,0, CRI_3,1, L1-SINR0, L1-SINR1}.

[0112] In example 2, the network device sets nrofTimeDomainBeamReporting=4 and nrofReportedRS=1 in the CSI-ReportConfig of RRC. The four reporting quantity sets calculated by the terminal are as follows: {CRI_0,0,L1-SINR0}, {CRI_0,0,L1-SINR0}, {CRI_2,0, L1-SINR0}, {CRI_3,0, L1-SINR0}.

[0113] Here, since the indexes of the reference signals of the first and second report quantity sets are all the same, one of the two report quantity sets is kept, and the other report quantity set is excluded from the four report quantity sets, and the three report quantity sets to be reported are specifically as follows: {CRI_0,0,L1-SINR0}, {CRI_2,0, L1-SINR0}, {CRI_3,0, L1-SINR0}, or {CRI_0,0}, {CRI_0,0,L1-SINR0}, {CRI_2,0, L1-SINR0}, {CRI_3,0, L1-SINR0}, or {L1-SINR0}, {CRI_0,0,L1-SINR0}, {CRI_2,0, L1-SINR0}, {CRI_3,0, L1-SINR0}, or {CRI_0,0,L1-SINR0}, {CRI_0,0}, {CRI_2,0, L1-SINR0}, {CRI_3,0, L1-SINR0}, or {CRI_0,0,L1-SINR0}, {L1-SINR0}, {CRI_2,0, L1-SINR0}, {CRI_3,0, L1-SINR0}.

[0114] In Example 3, the network device sets nrofTimeDomainBeamReporting=4 and nrofReportedRS=2 in the RRC CSI-ReportConfig, and the four beam groups calculated by the terminal are as follows: {CRI_0,0, CRI_0,1, L1-SINR0, L1-SINR1}, {CRI_1,0, CRI_0,1, L1-SINR0, L1-SINR1}, {CRI_2,0, CRI_2,1, L1-SINR0, L1-SINR1}, {CRI_3,0, CRI_3,1, L1-SINR0, L1-SINR1}.

[0115] Here, since some of the indices of the reference signals in the first and second report quantity sets are the same, one of the two report quantity sets is retained and the other report quantity set is excluded from the four report quantity sets, and the three report quantity sets to be reported are specifically as follows: {CRI_0,0, CRI_0,1, L1-SINR0, L1-SINR1}, {CRI_2,0, CRI_2,1, L1-SINR0, L1-SINR1}, {CRI_3,0, CRI_3,1, L1-SINR0, L1-SINR1}, or {CRI_0,0, CRI_0,1, L1-SINR0, L1-SINR1}, {CRI_1,0,CRI_0,1}, {CRI_2,0, CRI_2,1, L1-SINR0, L1-SINR1}, {CRI_3,0, CRI_3,1, L1-SINR0, L1-SINR1}, or {CRI_0,0, CRI_0,1, L1-SINR0, L1-SINR1}, {L1-SINR0, L1-SINR1}, {CRI_2,0, CRI_2,1, L1-SINR0, L1-SINR1}, {CRI_3,0, CRI_3,1, L1-SINR0, L1-SINR1}, or {CRI_1,0, CRI_0,1, L1-SINR0, L1-SINR1}, {CRI_2,0, CRI_2,1, L1-SINR0, L1-SINR1}, {CRI_3,0, CRI_3,1, L1-SINR0, L1-SINR1}, or {CRI_0,0,CRI_0,1}, {CRI_1,0, CRI_0,1, L1-SINR0, L1-SINR1}, {CRI_2,0, CRI_2,1, L1-SINR0, L1-SINR1}, {CRI_3,0, CRI_3,1, L1-SINR0, L1-SINR1}, or {L1-SINR0, L1-SINR1}, {CRI_1,0, CRI_0,1, L1-SINR0, L1-SINR1}, {CRI_2,0, CRI_2,1, L1-SINR0, L1-SINR1}, {CRI_3,0, CRI_3,1, L1-SINR0, L1-SINR1}.

[0116] In Example 4, the network device sets nrofTimeDomainBeamReporting=4 and nrofReportedRS=2 in the CSI-ReportConfig of the RRC. The four beam groups calculated by the terminal are as follows: {CRI_0,0, CRI_0,1, L1-SINR0, L1-SINR1}, {CRI_1,0, CRI_1,1, L1-SINR0, L1-SINR1}, {CRI_2,0, CRI_2,1, L1-SINR0, L1-SINR1}, {CRI_3,0, CRI_3,1, L1-SINR0, L1-SINR1}.

[0117] Here, taking the first and second report quantity sets as an example, the corresponding ratios of the L1-SINRs of the reference signals of the first and second report quantity sets are calculated to obtain two ratios, or the corresponding differences of the L1-SINRs of the reference signals of the first and second report quantity sets are calculated to obtain two difference values. If both of the two ratios are smaller than the second threshold or both of the two difference values ​​are smaller than the third threshold, one of the two report quantity sets can be kept and the other report quantity set can be excluded from the four report quantity sets, and the three report quantity sets to be reported are specifically as follows: {CRI_0,0, CRI_0,1, L1-SINR0, L1-SINR1}, {CRI_2,0, CRI_2,1, L1-SINR0, L1-SINR1}, {CRI_3,0, CRI_3,1, L1-SINR0, L1-SINR1}, Or {CRI_0,0, CRI_0,1, L1-SINR0, L1-SINR1}, {CRI_1,0, CRI_1,1}, {CRI_2,0, CRI_2,1, L1-SINR0, L1-SINR1}, {CRI_3,0, CRI_3,1, L1-SINR0, L1-SINR1}, Or {CRI_0,0, CRI_0,1, L1-SINR0, L1-SINR1}, {L1-SINR0, L1-SINR1}, {CRI_2,0, CRI_2,1, L1-SINR0, L1-SINR1}, {CRI_3,0, CRI_3,1, L1-SINR0, L1-SINR1}, Or {CRI_1,0, CRI_1,1, L1-SINR0, L1-SINR1}, {CRI_2,0, CRI_2,1, L1-SINR0, L1-SINR1}, {CRI_3,0, CRI_3,1, L1-SINR0, L1-SINR1}, Or {CRI_0,0, CRI_0,1}, {CRI_1,0, CRI_1,1, L1-SINR0, L1-SINR1}, {CRI_2,0, CRI_2,1, L1-SINR0, L1-SINR1}, {CRI_3,0, CRI_3,1, L1-SINR0, L1-SINR1}, Or {L1-SINR0, L1-SINR1}, {CRI_1,0, CRI_1,1, L1-SINR0, L1-SINR1}, {CRI_2,0, CRI_2,1, L1-SINR0, L1-SINR1}, {CRI_3,0, CRI_3,1, L1-SINR0, L1-SINR1}.

[0118] In addition, when reporting the index or L1-RSRP or L1-SINR of at least one reference signal in an excluded report quantity set, the index of at least one reference signal in the report quantity set can be set to a specific value, indicating that the index or L1-RSRP or L1-SINR indicated at the previous or subsequent time will be adopted at this time.

[0119] Table 5 shows that the bit overhead of reporting can be saved by reducing the number of L1-RSRPs or L1-SINRs reported by the terminal. As shown in Table 5, it is assumed that the network device configures the terminal to report N CSI reports, reporting M reference signal indices and corresponding L1-RSRPs or L1-SINRs each time, and transmitting B CSI-RSs or SSBs each time.

[0120] [Table 5]

[0121] The embodiments of the present disclosure have the following advantages.

[0122] (1) The terminal can improve the CSI reporting efficiency by using the report quantity set method to transmit all reference signals waiting to be reported to the network equipment at once, thereby reducing the number of reports.

[0123] (2) The terminal can predict the index of a reference signal that a network device will use for a certain period in the future and the corresponding L1-RSRP or L1-SINR, and report the index of the reference signal that the network device will use for the predicted certain period in the future and the corresponding L1-RSRP or L1-SINR in one CSI report.

[0124] (3) By using differential quantization, non-uniform quantization, reducing the number of L1-RSRPs or L1-SINRs to be reported, etc., the bit overhead of the L1-RSRPs or L1-SINRs to be reported can be reduced, CSI reporting overhead can be reduced, and beam accuracy can be improved.

[0125] FIG. 4 is an exemplary flowchart of an implementation of a CSI reporting method of an embodiment of the present disclosure, which is performed by a network device. As shown in FIG. 4, the method includes step 401.

[0126] In step 401, a CSI report transmitted from a terminal is received, the CSI report including N report quantity sets, each report quantity set including an index of at least one reference signal and an L1-RSRP or an L1-SINR corresponding to the at least one reference signal, where N indicates the number of report quantity sets configured by the network device, and N is a positive integer.

[0127] It can be understood that the reference signal includes a beam, and the index refers to SSBRI / CRI.

[0128] It can be understood that when a terminal reports multiple reference signals to a network device, the terminal can transmit all reference signals to be reported at once to the network device in the form of a report quantity set.

[0129] In practical application, the terminal may indicate a reference signal to be used by the network device for a certain period in the future, i.e., the terminal may predict a reference signal to be used by the network device within a plurality of fixed periods after the terminal transmits a CSI report.

[0130] Based on this, in one embodiment, a slot to be applied to at least one reference signal in each report quantity set and the L1-RSRP or L1-SINR corresponding to the at least one reference signal is determined based on a first period set by the network device.

[0131] Here, the first period may refer to a CSI reporting time domain period.

[0132] In practical application, the network device may send a CSI reporting configuration to the terminal to set the number N of reporting quantity sets and the first period for the terminal.

[0133] Based on this, in one embodiment, the method comprises: The method further includes setting the number N of reporting quantity sets and the first period for the terminal.

[0134] In practical applications, considering that the numerical ranges of the L1-RSRP or L1-SINR of each reference signal are different, quantizing the L1-RSRP or L1-SINR of each reference signal in the N report quantity sets using the same bits will increase bit overhead. Therefore, the terminal can select the maximum L1-RSRP or L1-SINR, and calculate the difference between the remaining L1-RSRP or L1-SINR and the maximum L1-RSRP or L1-SINR to obtain a difference value. In this way, the terminal can use a relatively large number of bits to quantize the maximum L1-RSRP or L1-SINR, and use a relatively small number of bits to quantize the difference value. Furthermore, to enable the network device to recover the corresponding L1-RSRP or L1-SINR, the terminal can indicate to the network device the position of the reference signal corresponding to the maximum L1-RSRP or maximum L1-SINR in the N report quantity sets, so that the network device can recover the maximum L1-RSRP value or maximum L1-SINR value based on K bits and recover the remaining L1-RSRP or L1-SINR using P bits.

[0135] Based on this, in one embodiment, the CSI report further includes indication information, which indicates location information of the maximum L1-RSRP value or maximum L1-SINR value in at least one L1-RSRP or L1-SINR included in the N report quantity sets.

[0136] For example, assume that the network device sets nrofTimeDomainBeamReporting=N and nrofReportedRS=M in the RRC CSI-ReportConfig. The terminal reports N report quantity sets, each of which includes M SSBRI / CRI and corresponding L1-RSRP or L1-SINR. The maximum L1-RSRP or L1-SINR is quantized by K bits, where K bits may indicate an L1-RSRP or L1-SINR within a specific dBm range. The other (N×M)−1 L1-RSRP or L1-SINR are quantized by P bits, where P bits indicate a difference between the other L1-RSRP and the maximum L1-RSRP, or a difference between the other L1-SINR and the maximum L1-SINR. Here, P <Kである。

[0137] Furthermore, the terminal uses an indication information bitmap of length log(N×M) to indicate the position of the maximum L1-RSRP or maximum L1-SINR in at least one L1-RSRP or L1-SINR included in the N report quantity sets. In this way, the network device can recover the maximum L1-RSRP value or maximum L1-SINR value using K bits based on the indication information bitmap, and recover the other L1-RSRP or L1-SINR value using P bits.

[0138] In practical applications, AI can provide significant benefits in many areas, such as DMRS detection, CSI-RS overhead reduction, CSI feedback, beam management, and positioning, demonstrating great application potential. Therefore, the terminal may be provided with a first AI module that performs non-uniform quantization on the L1-RSRP or L1-SINR values ​​of each reference signal in the N report quantity sets. The network device may be provided with a second AI module that restores the non-uniformly quantized L1-RSRP or L1-SINR of each reference signal in the N report quantity sets.

[0139] Based on this, in one embodiment, the method comprises: The method further includes recovering, by a second AI module, the L1-RSRP or the L1-SINR of each reference signal of the non-uniformly quantized N report quantity sets.

[0140] For example, assuming N is 2, the first report quantity set includes one reference signal index and corresponding L1-SINR, and the second report quantity set includes two reference signal indexes and corresponding L1-SINR, and the two report quantity sets may be specifically as follows: {CRI_0, L1-SINR0}, {CRI_1, L1-SINR1, CRI_2, L1-SINR2}.

[0141] Here, the terminal uses a trained quantization algorithm, i.e., the first AI module, to determine the number of bits (assumed to be 7 bits) to be used for quantizing L1-SINR0 based on the numerical range of L1-SINR0, determine the number of bits (assumed to be 4 bits) to be used for quantizing L1-SINR1 based on the numerical range of L1-SINR1, and determine the number of bits (assumed to be 2 bits) to be used for quantizing L1-SINR2 based on the numerical range of L1-SINR2.

[0142] Furthermore, the terminal reports the three unquantized L1-SINRs to the network equipment, which then uses a trained dequantization algorithm, i.e., the second AI module, to restore the first L1-SINR0, which is quantized with 7 bits, the second L1-SINR1, which is quantized with 4 bits, and the third L1-SINR2, which is quantized with 2 bits.

[0143] In one embodiment, the total number of bits for performing non-uniform quantization on the L1-RSRP or L1-SINR values ​​corresponding to each reference signal in the N report quantity sets is less than a first threshold.

[0144] In practical application, the terminal may use a first AI module to perform non-uniform quantization on the L1-RSRP or L1-SINR values ​​of each reference signal in the N report quantity sets, and send the report quantity sets obtained by non-uniform quantization to a network device, so that the network device may use a second AI module to restore the L1-RSRP or L1-SINR of each reference signal in the report quantity sets obtained by non-uniform quantization. To ensure that the terminal and the network device use corresponding AI modules, the network device may send auxiliary information to the terminal, expecting the terminal to select an AI module based on the auxiliary information, so that the terminal can use an AI module matching the auxiliary information to achieve non-uniform quantization of the L1-RSRP or L1-SINR, and the network device can use an AI module matching the auxiliary information to restore the non-uniformly quantized L1-RSRP or L1-SINR.

[0145] Based on this, in one embodiment, the method comprises: The method further includes transmitting auxiliary information to the terminal, where the auxiliary information includes channel state information and / or scheduling information.

[0146] In practical application, the terminal can further customize and select a first AI module and send related information of the selected first AI module to the network equipment, so that the network equipment uses a second AI module corresponding to the first AI module to restore the non-uniformly quantized L1-RSRP or L1-SINR.

[0147] Based on this, in one embodiment, the method comprises: The method further includes receiving related information of the first AI module sent from the terminal.

[0148] Here, the terminal may select one AI module from a predetermined database as a first AI module and transmit related information about the selected first AI module to the network device. The related information may include related information such as accuracy, complexity, and calculation time. The predetermined database may store multiple AI modules.

[0149] In addition, to ensure that the terminal and the network equipment use corresponding AI modules, the terminal can send related information of the first AI module to the network equipment, expecting the network equipment to select an AI module based on the related information, so that the terminal can use the first AI module to realize non-uniform quantization of L1-RSRP or L1-SINR, and the network equipment can restore the non-uniform quantized L1-RSRP or L1-SINR using a second AI module that matches the related information.

[0150] In practical application, considering that the terminal can predict reference signals that the network device will use in a certain period of time in the future, if the indexes of the reference signals predicted for multiple fixed periods in the future to be used by the network device are the same, only one reference signal index and corresponding L1-RSRP or L1-SINR may be reported for the multiple fixed periods. Alternatively, if the L1-RSRP or L1-SINRs of the reference signals predicted for multiple fixed periods in the future to be used by the network device are the same or if the L1-RSRP or L1-SINRs of the reference signals predicted for multiple fixed periods in the future to be used by the network device are similar in size, only one reference signal index and corresponding L1-RSRP or L1-SINR may be reported for the multiple fixed periods. That is, the number of L1-RSRPs or L1-SINRs to be reported may be reduced by performing conditional screening on multiple reference signals to be reported in the form of a report quantity set.

[0151] Based on this, in one embodiment, if there are multiple reporting quantity sets among the M reporting quantity sets that satisfy a predetermined condition, one reporting quantity set is retained from the multiple reporting quantity sets, and the other reporting quantity sets among the multiple reporting quantity sets, except for the retained one reporting quantity set, are excluded from the M reporting quantity sets to obtain N reporting quantity sets.

[0152] Here, M is a positive integer, and M is equal to or greater than N.

[0153] As can be understood, satisfying the predetermined conditions means: In the plurality of report quantity sets, the indexes of the reference signals for each of two report quantity sets are all the same or partially the same; or For each of two report quantity sets among the plurality of report quantity sets, a ratio between an L1-RSRP or an L1-SINR corresponding to each reference signal in one of the two report quantity sets and an L1-RSRP or an L1-SINR corresponding to each reference signal in the other report quantity set is calculated to obtain a plurality of ratios, and all of the plurality of ratios are smaller than a second threshold value; or For each of two report quantity sets among the plurality of report quantity sets, a difference between an L1-RSRP or an L1-SINR corresponding to each reference signal in one of the two report quantity sets and an L1-RSRP or an L1-SINR corresponding to each reference signal in the other report quantity set is calculated to obtain a plurality of differences, and all of the plurality of differences are smaller than a second threshold.

[0154] In one embodiment, the CSI report further includes an index of at least one reference signal in the excluded other reporting quantity set; or The CSI report further includes an L1-RSRP or an L1-SINR corresponding to at least one reference signal in the excluded other reporting quantity set.

[0155] When reporting the index of at least one reference signal in an excluded report quantity set, the index of at least one reference signal in the report quantity set can be set as a specific value, indicating that the index indicated at the previous or subsequent time will be adopted at this time. Alternatively, when reporting L1-RSRP or L1-SINR corresponding to at least one reference signal in an excluded report quantity set, the L1-RSRP or L1-SINR corresponding to at least one reference signal in the report quantity set can be set as a specific value, indicating that the L1-RSRP or L1-SINR indicated at the previous or subsequent time will be adopted at this time.

[0156] The embodiments of the present disclosure have the following advantages.

[0157] (1) The terminal can improve the CSI reporting efficiency by using the report quantity set method to transmit all reference signals waiting to be reported to the network equipment at once, thereby reducing the number of reports.

[0158] (2) The terminal can predict the index of a reference signal that a network device will use for a certain period in the future and the corresponding L1-RSRP or L1-SINR, and report the index of the reference signal that the network device will use for the predicted certain period in the future and the corresponding L1-RSRP or L1-SINR in one CSI report.

[0159] (3) By using means such as differential quantization, non-uniform quantization, or reducing the reported L1-RSRP or L1-SINR, the bit overhead of the reported L1-RSRP or L1-SINR can be reduced, CSI reporting overhead can be reduced, and beam accuracy can be improved.

[0160] To realize the CSI reporting method of the embodiment of the present disclosure, the embodiment of the present disclosure further provides a CSI reporting device. Figure 5 is an exemplary structural diagram of the CSI reporting device of the embodiment of the present disclosure. As shown in Figure 5, the device includes: a transmitting unit (51) configured to transmit a CSI report to a network device, the CSI report including N report quantity sets, each report quantity set including an index of at least one reference signal and an L1-RSRP or an L1-SINR corresponding to the at least one reference signal; Here, N represents the number of reporting quantity sets set by the network device, and N is a positive integer.

[0161] In one embodiment, a slot to be applied to at least one reference signal in each report quantity set and an L1-RSRP or an L1-SINR corresponding to the at least one reference signal is determined based on a first period set by the network device.

[0162] In one embodiment, the device further comprises: a maximum L1-RSRP value or a maximum L1-SINR value in the N report quantity sets is quantized by K bits, and each of the other L1-RSRP values ​​or L1-SINR values ​​in the N report quantity sets, excluding the maximum L1-RSRP value or the maximum L1-SINR value, is calculated as a difference using the maximum L1-RSRP value or the maximum L1-SINR value as a reference to obtain a differential L1-RSRP value or a differential L1-SINR value, wherein the differential L1-RSRP value or the differential L1-SINR value is quantized by P bits; Here, K and P are both positive integers, and K is greater than P.

[0163] In one embodiment, the CSI report further includes indication information, which indicates location information of the maximum L1-RSRP value or maximum L1-SINR value in at least one L1-RSRP or L1-SINR included in the N report quantity sets.

[0164] In one embodiment, the device further comprises: The first AI module is configured to perform non-uniform quantization on the L1-RSRP value or the L1-SINR value corresponding to each reference signal in the N report quantity sets.

[0165] Furthermore, according to at least one embodiment of the present disclosure, the total number of bits for performing non-uniform quantization on the L1-RSRP values ​​or L1-SINR values ​​corresponding to each reference signal in the N report quantity sets is less than a first threshold.

[0166] In one embodiment, the device further comprises: configured to obtain auxiliary information transmitted from the network device, the auxiliary information including channel state information and / or scheduling information;

[0167] Further, in accordance with at least one embodiment of the present disclosure, the method further comprises: The method further includes transmitting the related information of the first AI module to the network device.

[0168] In one embodiment, the device further comprises: If there are multiple report quantity sets that satisfy a predetermined condition among the M report quantity sets, The method is configured to retain one report quantity set from the plurality of report quantity sets, and to exclude other report quantity sets from the plurality of report quantity sets except for the retained one report quantity set from M report quantity sets to obtain N report quantity sets; Here, M is a positive integer, and M is equal to or greater than N.

[0169] In one embodiment, the CSI report further includes an index of at least one reference signal in the excluded other reporting quantity set; or The CSI report further includes an L1-RSRP or an L1-SINR corresponding to at least one reference signal in the excluded other reporting quantity set.

[0170] In one embodiment, satisfying the predetermined condition is In the plurality of report quantity sets, the indexes of the reference signals for each of two report quantity sets are all the same or partially the same; or For each of two report quantity sets among the plurality of report quantity sets, a ratio between an L1-RSRP or an L1-SINR corresponding to each reference signal in one of the two report quantity sets and an L1-RSRP or an L1-SINR corresponding to each reference signal in the other report quantity set is calculated to obtain a plurality of ratios, and all of the plurality of ratios are smaller than a second threshold value; or For each of two report quantity sets among the plurality of report quantity sets, a difference between an L1-RSRP or an L1-SINR corresponding to each reference signal in one of the two report quantity sets and an L1-RSRP or an L1-SINR corresponding to each reference signal in the other report quantity set is calculated to obtain a plurality of differences, and all of the plurality of differences are smaller than a second threshold.

[0171] In practical application, the transmitting unit 51 can be realized by a communication interface in a CSI reporting device.

[0172] Although the above-mentioned division of each program module has been described as an example when the CSI reporting device according to the above-mentioned embodiments reports CSI, in actual applications, the above processes may be assigned and performed by different program modules as needed, i.e., the internal structure of the device may be divided into different program modules to perform all or part of the above processes. Furthermore, the CSI reporting device according to the above-mentioned embodiments belongs to the same concept as the embodiments of the CSI reporting method, and its specific implementation process may refer to the embodiments of the method, and will not be repeated here.

[0173] To realize the CSI reporting method of the embodiment of the present disclosure, the embodiment of the present disclosure further provides a CSI reporting device. Figure 6 is an exemplary structural diagram of the CSI reporting device of the embodiment of the present disclosure. As shown in Figure 6, the device includes: a receiving unit 61 configured to receive a CSI report transmitted from a terminal, the CSI report including N report quantity sets, each report quantity set including an index of at least one reference signal and an L1-RSRP or an L1-SINR corresponding to the at least one reference signal; Here, N represents the number of reporting quantity sets set by the network device, and N is a positive integer.

[0174] In one embodiment, a slot to be applied to at least one reference signal in each report quantity set and an L1-RSRP or an L1-SINR corresponding to the at least one reference signal is determined based on a first period set by the network device.

[0175] In one embodiment, the device further comprises: The number N of report quantity sets and the first period are configured to be set for the terminal.

[0176] In one embodiment, the CSI report further includes indication information, which indicates location information of the maximum L1-RSRP value or maximum L1-SINR value in at least one L1-RSRP or L1-SINR included in the N report quantity sets.

[0177] In one embodiment, the device further comprises: The second AI module is configured to recover the L1-RSRP or L1-SINR of each reference signal of the non-uniformly quantized N report quantity sets.

[0178] In one embodiment, the total number of bits for performing non-uniform quantization on the L1-RSRP or L1-SINR values ​​corresponding to each reference signal in the N report quantity sets is less than a first threshold.

[0179] In one embodiment, the device further comprises: The auxiliary information is configured to transmit auxiliary information to the terminal, the auxiliary information including channel state information and / or scheduling information.

[0180] In one embodiment, the device further comprises: It is configured to receive the related information of the first AI module sent from the terminal.

[0181] In one embodiment, If there are multiple report quantity sets that satisfy a predetermined condition among the M report quantity sets, retaining one report quantity set from the plurality of report quantity sets, and excluding the other report quantity sets from the plurality of report quantity sets except for the retained one report quantity set from M report quantity sets to obtain N report quantity sets; Here, M is a positive integer, and M is equal to or greater than N.

[0182] In one embodiment, the CSI report further includes an index of at least one reference signal in the excluded other reporting quantity set; or The CSI report further includes an L1-RSRP or an L1-SINR corresponding to at least one reference signal in the excluded other reporting quantity set.

[0183] In one embodiment, satisfying the predetermined condition is In the plurality of report quantity sets, the indexes of the reference signals for each of two report quantity sets are all the same or partially the same; or For each of two report quantity sets among the plurality of report quantity sets, a ratio between an L1-RSRP or an L1-SINR corresponding to each reference signal in one of the two report quantity sets and an L1-RSRP or an L1-SINR corresponding to each reference signal in the other report quantity set is calculated to obtain a plurality of ratios, and all of the plurality of ratios are smaller than a second threshold value; or For each of two report quantity sets among the plurality of report quantity sets, a difference between an L1-RSRP or an L1-SINR corresponding to each reference signal in one of the two report quantity sets and an L1-RSRP or an L1-SINR corresponding to each reference signal in the other report quantity set is calculated to obtain a plurality of differences, and all of the plurality of differences are smaller than a second threshold.

[0184] In practical application, the receiving unit 61 can be realized by a communication interface in a CSI reporting device.

[0185] Although the above-mentioned division of each program module has been described as an example when the CSI reporting device according to the above-mentioned embodiments reports CSI, in actual applications, the above processes may be assigned and performed by different program modules as needed, i.e., the internal structure of the device may be divided into different program modules to perform all or part of the above processes. Furthermore, the CSI reporting device according to the above-mentioned embodiments belongs to the same concept as the embodiments of the CSI reporting method, and its specific implementation process may refer to the embodiments of the method, and will not be repeated here.

[0186] An embodiment of the present disclosure further provides a terminal, and as shown in FIG. 7, the terminal includes: a first communication interface 71 capable of exchanging information with other devices; and a first processor 72 connected to the first communication interface 71, for executing a computer program to implement the method according to one or more of the above-mentioned terminal-side technical solutions. The computer program is stored in a first memory 73.

[0187] It should be noted that the specific processing steps of the first processor 72 and the first communication interface 71 can be referred to in the embodiments of the method, and will not be described again here.

[0188] Of course, in a practical application, each component in the terminal 70 is coupled by a bus system 74. It is understood that the bus system 74 is used to realize the connection communication between these components. In addition to a data bus, the bus system 74 further includes a power bus, a control bus, and a status signal bus. However, for clarity of explanation, the various buses are labeled as the bus system 74 in FIG. 7.

[0189] The first memory 73 in the embodiment of the present disclosure is configured to store various types of data to support the operation of the terminal 70. Examples of this data include any computer programs that may be run on the terminal 70.

[0190] The methods disclosed in the above embodiments of the present disclosure may be applied to or realized by the first processor 72. The first processor 72 may be an integrated circuit chip having signal processing capabilities. In the implementation process, each step of the above method may be performed by an integrated logic circuit in hardware or instructions in software form in the first processor 72. The first processor 72 may be a general-purpose processor, a digital signal processor (DSP), or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, or the like. The first processor 72 may implement or execute each method, step, and logical block diagram disclosed in the embodiments of the present disclosure. The general-purpose processor may be a microprocessor or any conventional processor, or the like. The steps of the methods disclosed in the embodiments of the present disclosure may be performed directly by a hardware decoding processor or by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium, which is located in the first memory 73, and the first processor 72 reads the information in the first memory 73 and performs the steps of the above method in combination with its hardware.

[0191] An embodiment of the present disclosure further provides a network device, as shown in FIG. 8 , the network device comprising: a second communication interface 81 that can exchange information with other devices; and a second processor 82 connected to the second communication interface 81 and configured to execute a computer program to implement the method according to one or more of the technical solutions on the network device side. The computer program is stored in a second memory 83.

[0192] It should be noted that the specific processing steps of the second processor 82 and the second communication interface 81 can be referred to in the embodiments of the method, and will not be described again here.

[0193] Of course, in actual applications, the components in the network device 80 are coupled together by a bus system 84. It is understood that the bus system 84 is used to realize communication connections between these components. In addition to a data bus, the bus system 84 further includes a power bus, a control bus, and a status signal bus. However, for clarity of explanation, the various buses are labeled as the bus system 84 in FIG. 8.

[0194] Second memory 83 in the embodiments of the present disclosure is configured to store various types of data to support the operation of network device 80. Examples of this data include any computer programs that may be run on network device 80.

[0195] The methods disclosed in the above embodiments of the present disclosure may be applied to or realized by the second processor 82. The second processor 82 may be an integrated circuit chip having signal processing capabilities. In the implementation process, each step of the above method may be performed by an integrated logic circuit in hardware or instructions in software form in the second processor 82. The second processor 82 may be a general-purpose processor, a digital signal processor (DSP), or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, or the like. The second processor 82 may implement or execute each method, step, and logical block diagram disclosed in the embodiments of the present disclosure. The general-purpose processor may be a microprocessor or any conventional processor, or the like. The steps of the methods disclosed in the embodiments of the present disclosure may be directly performed by a hardware decoding processor or by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium, which is located in the second memory 83, and the second processor 82 reads the information in the second memory 83 and performs the steps of the above method in combination with its hardware.

[0196] In an exemplary embodiment, terminal 70, network equipment 80 may be implemented with one or more Application Specific Integrated Circuits (ASICs), DSPs, Programmable Logic Devices (PLDs), Complex Programmable Logic Devices (CPLDs), Field-Programmable Gate Arrays (FPGAs), general-purpose processors, controllers, Micro Controller Units (MCUs), Microprocessors, or other electronic elements, and may be used to perform the above-described methods.

[0197] It is understood that the memories (first memory 73 and second memory 83) of the embodiments of the present disclosure may be volatile or nonvolatile memory, or may include both volatile and nonvolatile memory. Here, the nonvolatile memory may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), magnetic random access memory (FRAM), flash memory, magnetic surface memory, optical disk, or read-only memory (CD-ROM), and the magnetic surface memory may be magnetic disk memory or magnetic tape memory. The volatile memory may be random access memory (RAM) used as an external cache.By way of illustrative, but non-limiting example, many forms of RAM are available, such as static random access memory (SRAM), synchronous static random access memory (SSRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), SyncLink dynamic random access memory (SLDRAM), direct memory bus random access memory (DRRAM), etc. Memory as described in embodiments of the present disclosure is intended to include, but is not limited to, these and any other suitable types of memory.

[0198] In an exemplary embodiment, the embodiments of the present disclosure further provide a storage medium, i.e., a computer storage medium, specifically a computer-readable storage medium, including, for example, a memory storing a computer program, which can be executed by the first processor 72 of the terminal 70 to perform the steps of the terminal-side method. The computer-readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, Flash Memory, magnetic surface memory, optical disk, or CD-ROM.

[0199] It should be noted that terms such as "first" and "second" are used to distinguish between similar objects and are not used to describe a particular order or chronology.

[0200] Furthermore, the technical solutions described in the embodiments of the present disclosure can be arbitrarily combined without conflict.

[0201] The above are only preferred embodiments of the present disclosure, and are not intended to limit the protection scope of the present disclosure.

Claims

1. 1. A channel state information (CSI) reporting method performed by a terminal, comprising: reporting a CSI report to a network device, the CSI report including N report quantity sets, each report quantity set including an index of at least one reference signal and a Layer 1 reference signal received power (L1-RSRP) or a Layer 1 signal-to-interference-and-noise ratio (L1-SINR) corresponding to the at least one reference signal; N represents the number of reporting quantity sets configured by the network device, and N is a positive integer; A CSI reporting method, wherein a slot to be applied to at least one reference signal in each report quantity set and an L1-RSRP or an L1-SINR corresponding to the at least one reference signal is determined based on a first period set by the network device.

2. The CSI reporting method includes: quantizing a maximum L1-RSRP value or a maximum L1-SINR value in the N report quantity sets by K bits, and calculating, using the maximum L1-RSRP value or the maximum L1-SINR value as a reference, each of the other L1-RSRP values ​​or L1-SINR values ​​in the N report quantity sets except for the maximum L1-RSRP value or the maximum L1-SINR value as a difference to obtain a differential L1-RSRP value or a differential L1-SINR value, wherein the differential L1-RSRP value or the differential L1-SINR value is quantized by P bits; Both K and P are positive integers, and K is greater than P. The CSI reporting method of claim 1 .

3. The CSI report further includes indication information, and the indication information indicates location information of the maximum L1-RSRP value or the maximum L1-SINR value in at least one L1-RSRP or L1-SINR included in the N report quantity sets. The CSI reporting method of claim 2 .

4. The CSI reporting method includes: and performing, by a first artificial intelligence (AI) module, non-uniform quantization on L1-RSRP values ​​or L1-SINR values ​​corresponding to each reference signal in the N report quantity sets; and / or and further comprising transmitting the related information of the first AI module to the network device. The CSI reporting method of claim 1 .

5. a total number of bits for performing non-uniform quantization on the L1-RSRP values ​​or L1-SINR values ​​corresponding to each reference signal in the N report quantity sets is less than a first threshold; The CSI reporting method according to claim 4 .

6. The CSI reporting method includes: receiving information transmitted from the network device, the information including channel state information and / or scheduling information; The CSI reporting method according to claim 4 .

7. The CSI reporting method includes: If there are at least two report quantity sets among the M report quantity sets that satisfy a predetermined condition, The method further includes: retaining one reporting quantity set from the at least two reporting quantity sets; and excluding other reporting quantity sets from the at least two reporting quantity sets, except for the retained one reporting quantity set, from the M reporting quantity sets to obtain the N reporting quantity sets; M is a positive integer, and M is greater than N; The CSI reporting method of claim 1 .

8. The CSI report further includes an index of at least one reference signal in the excluded other reporting quantity set; or The CSI report further includes an L1-RSRP or an L1-SINR corresponding to at least one reference signal in the excluded other reporting quantity set. The CSI reporting method of claim 7.

9. Satisfying the predetermined condition means: In the at least two report quantity sets, the indexes of the reference signals for each of the two report quantity sets are all the same or partially the same; or calculating a ratio between an L1-RSRP or an L1-SINR corresponding to each reference signal in one of the two report quantity sets and an L1-RSRP or an L1-SINR corresponding to each reference signal in the other report quantity set for each of two report quantity sets among the at least two report quantity sets, and obtaining a plurality of ratios, all of which are smaller than a second threshold value; or For each of two reporting quantity sets among the at least two reporting quantity sets, calculating a difference between an L1-RSRP or an L1-SINR corresponding to each reference signal in one of the two reporting quantity sets and an L1-RSRP or an L1-SINR corresponding to each reference signal in the other reporting quantity set to obtain a plurality of differences, and all of the plurality of differences are smaller than a second threshold. The CSI reporting method of claim 7.

10. 1. A channel state information (CSI) reporting method performed by a network device, comprising: receiving a CSI report transmitted from a terminal, the CSI report including N report quantity sets, each report quantity set including an index of at least one reference signal and a Layer 1 reference signal received power (L1-RSRP) or a Layer 1 signal-to-interference-and-noise ratio (L1-SINR) corresponding to the at least one reference signal; N represents the number of reporting quantity sets configured by the network device, and N is a positive integer; A CSI reporting method, wherein a slot to be applied to at least one reference signal in each report quantity set and an L1-RSRP or an L1-SINR corresponding to the at least one reference signal is determined based on a first period set by the network device.

11. The CSI reporting method includes: further comprising setting a number N of reporting quantity sets and a first period for the terminal; The CSI reporting method of claim 10.

12. The CSI report further includes indication information, and the indication information indicates location information of a maximum L1-RSRP value or a maximum L1-SINR value in at least one of the L1-RSRP or L1-SINR included in the N report quantity sets. The CSI reporting method of claim 10.

13. The CSI reporting method includes: Recovering, by a second artificial intelligence (AI) module, an L1-RSRP or an L1-SINR of each reference signal of the N non-uniformly quantized report quantity sets; and further comprising at least one of: transmitting information to the terminal, the information including channel state information and / or scheduling information; and receiving related information of the first AI module transmitted from the terminal. The CSI reporting method of claim 10.

14. A terminal, a first processor and a first memory storing a computer program executable on the processor; A terminal, wherein the first processor, when executing the computer program, performs the method of any one of claims 1 to 9.

15. A network device, a second processor and a second memory storing a computer program executable on the processor; The network device, wherein the second processor, when executing the computer program, performs the method of any one of claims 10 to 13.

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