CSI reporting methods, devices, equipment, and storage media

Abstract

This invention discloses a CSI reporting method, apparatus, device, and storage medium. The method includes: sending a Channel State Information (CSI) report to a network device; the CSI report contains N sets of reported quantities; each set of reported quantities contains an index of at least one reference signal and a corresponding Layer 1 Reference Signal Received Power (L1-RSRP) or Layer 1 Signal-to-Interference-plus-Noise Ratio (L1-SINR); wherein N represents the number of reported quantity sets configured in the network device; N is a positive integer.

Description

Technical Field

[0001] This invention relates to the field of wireless communication technology, and in particular to a CSI reporting method, apparatus, device, and storage medium. Background Technology

[0002] Currently, Channel State Information (CSI) reporting can include two methods: the first is normal reporting, where the terminal reports two or four reference signals when the network device's groupBasedBeamReporting parameter is set to Disable; the second is group reporting, where the terminal reports two reference signals at a time when the network device's groupBasedBeamReporting parameter is set to Enable. However, both CSI reporting methods are inefficient. Summary of the Invention

[0003] In view of this, embodiments of the present invention aim to provide a CSI reporting method, apparatus, device, and storage medium.

[0004] The technical solution of this invention is implemented as follows:

[0005] At least one embodiment of the present invention provides a CSI reporting method applied to a terminal, the method comprising:

[0006] Send a CSI report to the network device; the CSI report contains N sets of reported quantities; each set of reported quantities contains at least one index of a reference signal and the corresponding Layer One-Reference Signal Receive Power (L1-RSRP) or Layer One-Signal to Interference plus Noise Ratio (L1-SINR);

[0007] Wherein, N represents the number of sets of reported data configured by the network device; N is a positive integer.

[0008] Furthermore, according to at least one embodiment of the present invention, at least one reference signal in each set of reported quantities and the time slot to which the corresponding L1-RSRP or L1-SINR is applied are determined according to a first cycle configured by the network device.

[0009] Furthermore, according to at least one embodiment of the present invention, the method further includes:

[0010] The maximum L1-RSRP value or maximum L1-SINR value in the N reported quantity sets is quantized using K bits. Taking the maximum L1-RSRP value or maximum L1-SINR value as a reference, each other L1-RSRP or L1-SINR value in the N reported quantity sets, excluding the maximum L1-RSRP or maximum L1-SINR value, is differentially quantized to obtain the differential L1-RSRP value or differential L1-SINR value. The differential L1-RSRP value or differential L1-SINR value is quantized using P bits. Wherein, K and P are both positive integers, and K is greater than P.

[0011] Furthermore, according to at least one embodiment of the present invention, the CSI report also includes indication information; the indication information is used to indicate the position of the maximum L1-RSRP value or the maximum L1-SINR value in at least one L1-RSRP or L1-SINR contained in the N reported quantity sets.

[0012] Furthermore, according to at least one embodiment of the present invention, the method further includes:

[0013] The first Artificial Intelligence (AI) module performs non-uniform quantization on the L1-RSRP or L1-SINR corresponding to each reference signal in the N reported quantity sets.

[0014] Furthermore, according to at least one embodiment of the present invention, the total number of bits for non-uniform quantization of L1-RSRP or L1-SINR corresponding to each reference signal in the N reported quantity sets is less than a first threshold.

[0015] Furthermore, according to at least one embodiment of the present invention, the method further includes:

[0016] Obtain auxiliary information sent by the network device; the auxiliary information includes channel state information and / or scheduling information.

[0017] Furthermore, according to at least one embodiment of the present invention, the method further includes:

[0018] The relevant information of the first AI module is sent to the network device.

[0019] Furthermore, according to at least one embodiment of the present invention, the method further includes:

[0020] Among the M sets of reported data, multiple sets of reported data meet the preset conditions; one set of reported data is retained from the multiple sets of reported data, and the other sets of reported data except for the retained set are excluded from the M sets of reported data, resulting in N sets of reported data; where M is a positive integer, M equals N, or M is greater than N.

[0021] Furthermore, according to at least one embodiment of the present invention, the CSI report also includes an index of at least one reference signal from the excluded other reported quantity set; or, the CSI report also includes an L1-RSRP or L1-SINR corresponding to at least one reference signal from the excluded other reported quantity set.

[0022] Furthermore, according to at least one embodiment of the present invention, the condition of satisfying the preset condition is:

[0023] The reference signal indices of any two reporting sets in the plurality of reporting sets are all or partially the same;

[0024] or,

[0025] For every two reporting sets in the plurality of reporting sets, the L1-RSRP or L1-SINR corresponding to each reference signal in one of the two reporting sets is compared with the L1-RSRP or L1-SINR corresponding to each reference signal in the other reporting set, resulting in multiple ratios; all multiple ratios are less than the second threshold.

[0026] or,

[0027] For every two reporting sets in the plurality of reporting sets, the L1-RSRP or L1-SINR corresponding to each reference signal in one of the two reporting sets is compared with the L1-RSRP or L1-SINR corresponding to each reference signal in the other reporting set to obtain multiple differences; all multiple differences are less than the third threshold.

[0028] This invention provides a CSI reporting method applied to network devices, the method comprising:

[0029] The receiving terminal sends a CSI report; the CSI report contains N sets of reported quantities; each set of reported quantities contains an index of at least one reference signal and the corresponding L1-RSRP or L1-SINR;

[0030] Wherein, N represents the number of sets of reported data configured by the network device; N is a positive integer.

[0031] Furthermore, according to at least one embodiment of the present invention, at least one reference signal in each set of reported quantities and the time slot to which the corresponding L1-RSRP or L1-SINR is applied are determined according to a first cycle configured by the network device.

[0032] Furthermore, according to at least one embodiment of the present invention, the method further includes:

[0033] Configure the terminal with the number N of reported data sets and the first cycle.

[0034] Furthermore, according to at least one embodiment of the present invention, the CSI report also includes indication information; the indication information is used to indicate the position of the maximum L1-RSRP value or the maximum L1-SINR value in at least one L1-RSRP or L1-SINR contained in the N reported quantity sets.

[0035] Furthermore, according to at least one embodiment of the present invention, the method further includes:

[0036] The second AI module restores the L1-RSRP or L1-SINR of each reference signal in the N sets of reported quantities after non-uniform quantization.

[0037] Furthermore, according to at least one embodiment of the present invention, the total number of bits for non-uniform quantization of L1-RSRP or L1-SINR corresponding to each reference signal in the N reported quantity sets is less than a first threshold.

[0038] Furthermore, according to at least one embodiment of the present invention, the method further includes:

[0039] Send auxiliary information to the terminal; the auxiliary information includes channel state information and / or scheduling information.

[0040] Furthermore, according to at least one embodiment of the present invention, the method further includes:

[0041] The receiving terminal sends information about the first AI module.

[0042] Furthermore, according to at least one embodiment of the present invention, multiple reporting sets among the M reporting sets satisfy preset conditions;

[0043] One set of reports is retained from the plurality of reported sets, and the other sets of reports other than the retained set are excluded from the M sets of reports, resulting in N sets of reports; where M is a positive integer, M equals N, or M is greater than N.

[0044] Furthermore, according to at least one embodiment of the present invention, the CSI report also includes an index of at least one reference signal from the excluded set of reported quantities;

[0045] or,

[0046] The CSI report also includes at least one L1-RSRP or L1-SINR corresponding to a reference signal from the excluded set of reported quantities.

[0047] Furthermore, according to at least one embodiment of the present invention, satisfying the preset conditions includes:

[0048] The reference signal indices of any two reporting sets in the plurality of reporting sets are all or partially the same;

[0049] or,

[0050] For every two reporting sets in the plurality of reporting sets, the L1-RSRP or L1-SINR corresponding to each reference signal in one of the two reporting sets is compared with the L1-RSRP or L1-SINR corresponding to each reference signal in the other reporting set, resulting in multiple ratios; all multiple ratios are less than the second threshold.

[0051] or,

[0052] For every two reporting sets in the plurality of reporting sets, the L1-RSRP or L1-SINR corresponding to each reference signal in one of the two reporting sets is compared with the L1-RSRP or L1-SINR corresponding to each reference signal in the other reporting set to obtain multiple differences; all multiple differences are less than the third threshold.

[0053] This invention provides a CSI reporting device, comprising:

[0054] A sending unit is used to send a CSI report to a network device; the CSI report contains N sets of reported quantities; each set of reported quantities contains an index of at least one reference signal and the corresponding L1-RSRP or L1-SINR;

[0055] Wherein, N represents the number of sets of reported data configured by the network device; N is a positive integer.

[0056] This invention provides a CSI reporting device, comprising:

[0057] A receiving unit is used to receive a CSI report sent by a terminal; the CSI report contains N sets of reported quantities; each set of reported quantities contains an index of at least one reference signal and a corresponding L1-RSRP or L1-SINR; wherein, N represents the number of sets of reported quantities configured by the network device; N is a positive integer.

[0058] At least one embodiment of the present invention provides a terminal, including a first processor and a first memory for storing a computer program capable of running on the processor.

[0059] Wherein, when the first processor is used to run the computer program, it executes any of the steps of the methods described above on the terminal side.

[0060] At least one embodiment of the present invention provides a network device, including a second processor and a second memory for storing a computer program capable of running on the processor.

[0061] Wherein, when the second processor is used to run the computer program, it executes the steps of any of the methods described above on the network device side.

[0062] At least one embodiment of the present invention provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the above methods.

[0063] The CSI reporting method, apparatus, device, and storage medium provided in this invention send CSI reports to network devices. Each CSI report contains N sets of reported data. Each set of reported data contains an index of at least one reference signal and its corresponding L1-RSRP or L1-SINR. N represents the number of reported data sets configured in the network device, and N is a positive integer. Using the technical solution provided in this invention, a terminal can send all reference signals to be reported to the network device at once using reported data sets, thereby reducing the number of reports and improving CSI reporting efficiency. Attached Figure Description

[0064] Figure 1 This is a schematic diagram of a terminal reporting two beams at a time in related technologies;

[0065] Figure 2 This is a schematic diagram of the implementation process of the CSI reporting method in this embodiment of the invention. Figure 1 ;

[0066] Figure 3 This is a schematic diagram illustrating the non-uniform quantization and restoration of L1-RSRP or L1-SINR by the terminal and network device through their respective AI modules in an embodiment of the present invention.

[0067] Figure 4 This is a schematic diagram of the implementation process of the CSI reporting method in this embodiment of the invention. Figure 2 ;

[0068] Figure 5 This is a schematic diagram of the composition structure of the CSI reporting device according to an embodiment of the present invention. Figure 1 ;

[0069] Figure 6 This is a schematic diagram of the composition structure of the CSI reporting device according to an embodiment of the present invention. Figure 2 ;

[0070] Figure 7 This is a schematic diagram of the component structure of the terminal according to an embodiment of the present invention;

[0071] Figure 8 This is a schematic diagram of the composition structure of a network device according to an embodiment of the present invention. Detailed Implementation

[0072] Before introducing the technical solutions of the embodiments of the present invention, the relevant technologies will be explained first.

[0073] In related technologies, in downlink beam reporting based on Layer One-Reference Signal Receive Power (L1-RSRP), i.e., CSI Reporting, CSI reporting is configured by CSI-ReportConfig.

[0074] Table 1 illustrates two reporting methods for beams in related technologies. Specifically, there are two reporting methods: First, the normal reporting method, where groupBasedBeamReporting is set to Disable, and the terminal reports 2 or 4 reference signals; second, the group reporting method, where groupBasedBeamReporting is set to Enable, reporting two SSB Resource Indicators (SSBRIs) or two CSI-RS Resource Indicators (CRIs) at once. The beams corresponding to these two SSBRIs / CRIs are two beams that can be received simultaneously. Both of these CSI reporting methods are less efficient.

[0075]

[0076] Table 1

[0077] Figure 1 This is a schematic diagram of a terminal reporting two beams at once in related technologies, such as... Figure 1 As shown, in the case of multi-panel or wide-beam configurations, the base station can use both beams simultaneously to transmit services to the terminal, thereby improving the multi-stream transmission capability of the high-frequency analog beam.

[0078] Currently, within the existing 5G design framework, AI can achieve significant gains in multiple areas, including Demodulation Reference Signal (DMRS) detection, CSI-RS overhead reduction, CSI feedback, beam management, and positioning, demonstrating considerable application prospects. Research on wireless AI can include three major use cases: CSI feedback, beam management, and positioning, as well as AI model deployment, inference, updates, and simulation evaluation methods. Typical use cases for beam management include beam prediction in the time and spatial domains to reduce overhead and latency, and improving beam selection accuracy. Table 2 illustrates the SIDs of air interface AI use cases.

[0079]

[0080] Table 2

[0081] In related technologies, CSI beam reporting has the following technical problems: First, in the CSI reporting framework, each CSI report only supports reporting a maximum of 4 beams and their corresponding L1-RSRP / L1-SINR. Second, the reported beam index and corresponding L1-RSRP / L1-SINR are only based on the CSI-RS / SSB sent by the base station in the past, meaning that it is impossible to report L1-RSRP or L1-SINR for a future period. Third, in high-frequency, high-speed mobile scenarios, the channel time-varying is large, the beam changes are rapid, and the probability of beam failure is higher. To adapt to these scenarios, the CSI reporting framework needs to perform beam measurement and reporting more frequently, which brings additional reference signals and CSI reporting overhead to the base station, as well as additional measurement and reporting overhead to the terminal. Furthermore, the capacity and interference of the reference signal in the network will be subjected to more severe challenges. Fourth, in time-series-based L1-RSRP or L1-SINR reporting schemes, a single CSI report requires feedback of nrofTimeDomainBeamReporting (N) × nrofReportedRS (M) SSBRIs / CRIs, and for each SSBRI / CRI, the corresponding L1-RSRP / L1-SINR needs to be reported. For L1-RSRP, 7 bits are used to indicate the L1-RSRP within the range of [-140, -44] dBm, with a step size of 1 dB; for L1-SINR, 7 bits are used to indicate the L1-SINR within the range of [-23, 40] dBm, with a step size of 0.5 dB. In a single feedback, since 7 × N × M bits are needed to carry L1-RSRP / L1-SINR, it may bring a large uplink channel overhead to the system. Therefore, it is urgent to solve how to carry the L1-RSRP / L1-SINR required for CSI reporting with fewer bits.

[0082] Based on this, in this embodiment of the invention, the terminal sends a CSI report to the network device; the CSI report contains N sets of reported quantities; each set of reported quantities contains an index of at least one reference signal and a corresponding L1-RSRP or L1-SINR; wherein, N represents the number of sets of reported quantities configured by the network device; N is a positive integer.

[0083] Figure 2 This is a schematic diagram illustrating the implementation flow of the CSI reporting method according to an embodiment of the present invention, applied to a terminal, such as... Figure 2 As shown, the method includes step 201:

[0084] Step 201: Send a CSI report to the network device; the CSI report contains N sets of reported quantities; each set of reported quantities contains an index of at least one reference signal and the corresponding L1-RSRP or L1-SINR; where N represents the number of sets of reported quantities configured by the network device; N is a positive integer.

[0085] It is understood that the reference signal includes a beam. The index may refer to SSBRI / CRI.

[0086] It is understandable that when the terminal reports a large number of reference signals to the network device, the terminal can send all the reference signals to be reported to the network device at once in the form of a set of reported signals.

[0087] For example, assuming N equals 2, the first set of reported quantities contains the index of one reference signal and the corresponding L1-RSRP or L1-SINR, and the second set of reported quantities contains the indices of two reference signals and the corresponding L1-RSRP or L1-SINR. The specific form of the two sets of reported quantities can be:

[0088] {CRI_0, L1-RSRP0},

[0089] {CRI_1,L1-RSRP1,CRI_2,L1-RSRP2}.

[0090] or,

[0091] {CRI_0, L1-SINR0},

[0092] {CRI_1,L1-SINR1,CRI_2,L1-SINR2}.

[0093] In practical applications, the terminal can indicate the reference signal used by the network device over a future period. That is, the terminal can predict the reference signal used by the network device over multiple fixed periods starting from the moment the terminal sends the CSI report.

[0094] Based on this, in one embodiment, at least one reference signal in each set of reported quantities and the time slot applied to the corresponding L1-RSRP or L1-SINR are determined according to the first cycle configured by the network device.

[0095] Here, the first period can refer to the CSI reporting time domain period.

[0096] Here, assuming the CSI reporting time domain period is represented by PeriodofTimeDomainBeamReporting, the time slot applied to at least one reference signal in the i-th reporting set can be determined using i×PeriodofTimeDomainBeamReporting.

[0097] For example, suppose there are two sets of reported quantities. The first set of reported quantities contains the index of one reference signal and the corresponding L1-RSRP or L1-SINR. The second set of reported quantities contains the indexes of two reference signals and the corresponding L1-RSRP or L1-SINR. The CSI reporting time domain period PeriodofTimeDomainBeamReporting = 5ms. Then the time slot applied to the reference signal and the corresponding L1-RSRP or L1-SINR in the first set of reported quantities is represented by 1×5ms = 5ms. That is, at the first moment (1×5ms = 5ms), the reference signal and the corresponding L1-RSRP or L1-SINR in the first set of reported quantities are used. The time slots used for the two reference signals and their corresponding L1-RSRP or L1-SINR in the second set of reported quantities are each represented by 2 × 5 ms = 10 ms. That is, at the second time point (2 × 5 ms = 10 ms), the two reference signals and either L1-RSRP or L1-SINR from the second set of reported quantities are used. The specific form of the two sets of reported quantities can be expressed as follows:

[0098] {CRI_0,0,L1-RSRP0},

[0099] {CRI_1,1,L1-RSRP1,CRI_1,2,L1-RSRP2};

[0100] or,

[0101] {CRI_0,0,L1-SINR0},

[0102] {CRI_1,1,L1-SINR1,CRI_1,2,L1-SINR2};

[0103] Where CRI_i,j represents the reference signal j at time i×PeriodofTimeDomainBeamReporting, i∈{0,…,nrofTimeDomainBeamReporting-1},j∈{0,…,nrofReportedRS-1}.

[0104] Understandably, the network device can send CSI reporting configuration to the terminal to configure the number N of reporting sets and the first period. The network device can import the number N of reporting sets and the first period in the RRC's CSI-ReportConfig IE. The number of reporting sets can be represented by the `nrofTimeDomainBeamReporting` parameter, and the first period can be represented by the `PeriodofTimeDomainBeamReporting` parameter. The terminal can send N reporting sets to the network device using one of the following methods:

[0105] The first method is to report as usual.

[0106] Specifically, if the parameter groupBasedBeamReporting introduced in the CSI-ReportConfig IE of the network device is set to Disable, the terminal can report nrofTimeDomainBeamReporting(N) reporting sets in one report. Each reporting set contains nrofReportedRS(M) SSBRI / CRI. The i-th reporting set is applied to i×PeriodofTimeDomainBeamReporting slots after the CSI reporting time.

[0107] For example, if the network device sets the parameter `groupBasedBeamReporting` to `Disable` in the CSI-ReportConfig IE of RRC, and configures `nrofTimeDomainBeamReporting=4` and `nrofReportedRS=2` in the CSI-ReportConfig of RRC, the four sets of reports that the terminal can report can specifically be:

[0108] {CRI_0,0,L1-RSRP0,CRI_0,1,L1-RSRP1},

[0109] {CRI_1,0,L1-RSRP0,CRI_1,1,L1-RSRP1},

[0110] {CRI_2,0,L1-RSRP0,CRI_2,1,L1-RSRP1},

[0111] {CRI_3,0,L1-RSRP0,CRI_3,1,L1-RSRP1,CRI_3,2,L1-RSRP2}.

[0112] Where CRI_i,j represents the reference signal j at time i×PeriodofTimeDomainBeamReporting, i∈{0,…,nrofTimeDomainBeamReporting-1},j∈{0,…,nrofReportedRS-1}.

[0113] The second method is to report in groups.

[0114] Specifically, if the network device sets the parameter `groupBasedBeamReporting` to `Enable` in the CSI-ReportConfig IE of RRC, the terminal can report `nrofTimeDomainBeamReporting(N)` sets of reports in a single report. Each set of reports contains two SSBRIs / CRIs, and the beams corresponding to these two SSBRIs / CRIs are two beams that can be received simultaneously. For example, in multi-panel or wide-beam configurations, the network device, such as a base station, can simultaneously use these two beams to transmit services to the terminal, thereby improving the multi-stream transmission capability of high-frequency analog beams.

[0115] For example, if the network device sets the parameter `groupBasedBeamReporting` to `Enable` in the CSI-ReportConfig IE of RRC, and configures `nrofTimeDomainBeamReporting = 2` in the CSI-ReportConfig of RRC, the two sets of reported data that the terminal can report can specifically be:

[0116] {CRI_0,0,L1-RSRP0,CRI_0,1,L1-RSRP1},

[0117] {CRI_1,0,L1-RSRP0,CRI_1,1,L1-RSRP1}.

[0118] Where CRI_i,j represents the reference signal j at time i×PeriodofTimeDomainBeamReporting, i∈{0,…,nrofTimeDomainBeamReporting-1},j∈{0,…,nrofReportedRS-1}.

[0119] The following describes how to save on reporting bit overhead in different scenarios.

[0120] In the first case, differential quantization saves the overhead of reporting bits.

[0121] In practical applications, considering that the numerical ranges of L1-RSRP or L1-SINR of each reference signal are different, using the same number of bits to quantize the L1-RSRP or L1-SINR of each reference signal in the N reported quantity sets would increase bit overhead. Therefore, the maximum L1-RSRP or L1-SINR can be selected, and the difference between each of the remaining L1-RSRP and the maximum L1-RSRP can be obtained; or the difference between each of the remaining L1-SINR and the maximum L1-SINR can be obtained. In this way, a larger number of bits can be used to quantize the maximum L1-RSRP or L1-SINR, and a smaller number of bits can be used to quantize the difference.

[0122] Based on this, in one embodiment, the method further includes:

[0123] The maximum L1-RSRP value or maximum L1-SINR value in the N sets of reported quantities is quantized using K bits. Using the maximum L1-RSRP value or maximum L1-SINR value as a reference, each other L1-RSRP or L1-SINR value in the N sets of reported quantities, excluding the maximum L1-RSRP or maximum L1-SINR value, is differentially quantized using P bits.

[0124] Where K and P are both positive integers, and K is greater than P.

[0125] For example, assuming N equals 2, the first set of reported quantities contains the index of one reference signal and the corresponding L1-RSRP or L1-SINR, and the second set of reported quantities contains the indices of two reference signals and the corresponding L1-RSRP or L1-SINR. Specifically, the two sets of reported quantities can be:

[0126] {CRI_0, L1-SINR0},

[0127] {CRI_1, L1-SINR1, CRI_2, L1-SINR2};

[0128] Here, assuming the maximum L1-SINR is L1-SINR0, K=7, P=4, calculate the difference between L1-SINR1 and L1-SINR0, and the difference between L1-SINR2 and L1-SINR0 to obtain two differential L1-SINR values; quantize L1-SINR0 with 7 bits, assuming it is 0000111; quantize both differential L1-SINR values ​​with 4 bits, assuming they are 0110 and 0101, to obtain two sets of quantized reported values.

[0129] In practical applications, in order for the network device to reconstruct the corresponding L1-RSRP or L1-SINR, the terminal can indicate the position of the maximum L1-RSRP or maximum L1-SINR in at least one L1-RSRP or L1-SINR contained in the N reported quantity sets. In this way, the network device can reconstruct the maximum L1-RSRP or maximum L1-SINR using K bits and the remaining L1-RSRP or L1-SINR using P bits.

[0130] Based on this, in one embodiment, the CSI report further includes indication information; the indication information is used to indicate the position of the maximum L1-RSRP value or the maximum L1-SINR value in at least one L1-RSRP or L1-SINR contained in the N reported quantity sets.

[0131] For example, suppose the network device is configured with nrofTimeDomainBeamReporting=N and nrofReportedRS=M in the RRC's CSI-ReportConfig. The terminal reports N sets of reported quantities, each set containing M SSBRI / CRIs and their corresponding L1-RSRPs or L1-SINRs. The largest L1-RSRP or L1-SINR is quantized using K bits, where K bits indicate L1-RSRPs or L1-SINRs within a certain dBm range. The other (N×M)-1 L1-RSRPs or L1-SINRs are quantized using P bits, where P bits indicate the difference between other L1-RSRPs and the largest L1-RSRP, or the difference between other L1-SINRs and the largest L1-SINR. Where P < K.

[0132] Furthermore, the terminal uses a bitmap of length log(N×M) to indicate the position of the maximum L1-RSRP or maximum L1-SINR within at least one L1-RSRP or L1-SINR contained in the N reported quantity sets. Thus, the network device can use the bitmap to reconstruct the maximum L1-RSRP or maximum L1-SINR using K bits, and use P bits to reconstruct the other L1-RSRP or L1-SINR.

[0133] For example, a single report might require N×M (N=2, M=4) SSBRI / CRI values ​​and their corresponding L1-RSRP / L1-SINR values. Assuming N×M = 2×4 = 8 L1-RSRP values ​​are reported, the largest L1-RSRP is quantized using 7 bits. These 7 bits indicate L1-RSRP values ​​within the range of [-140, -44] dBm, with a step size of 1 dB. A 3-bit bitmap is used to indicate the position of the largest L1-RSRP among the 8 L1-RSRP values. The other 7 L1-RSRP values ​​are quantized using 4 bits. These 4 bits indicate the difference between the largest L1-RSRP and the largest L1-RSRP, with a step size of 2 dB.

[0134] Assuming N×M = 2×4 = 8 L1-SINRs are reported, the largest L1-SINR is quantized using 7 bits to indicate the L1-SINR within the range of [-23, 40] dBm, with a step size of 1 dB. A 3-bit bitmap is used to indicate the position of the largest L1-SINR among the 8 L1-SINRs. The other 7 L1-SINRs are quantized using 4 bits, which can indicate the difference between them and the largest L1-SINR, with a step size of 2 dB.

[0135] Table 3 illustrates how differential quantization saves reporting bit overhead. As shown in Table 3, assume that the network device is configured to report N CSI reports, each time reporting the indexes of M reference signals and the corresponding L1-RSRP or L1-SINR, and the network device sends B CSI-RS or SSBs each time.

[0136]

[0137] Table 3

[0138] In the second case, non-uniform quantization is used to save the overhead of reporting bits.

[0139] In practical applications, considering that AI can achieve significant gains and shows considerable application prospects in multiple fields such as DMRS detection, CSI-RS overhead reduction, CSI feedback, beam management, and positioning, the terminal can be equipped with a first AI module. This first AI module performs non-uniform quantization on the L1-RSRP or L1-SINR of each reference signal in N sets of reported quantities. The network device can be equipped with a second AI module, which restores the L1-RSRP or L1-SINR of each reference signal in the N sets of reported quantities after non-uniform quantization.

[0140] Based on this, in one embodiment, the method further includes:

[0141] The first AI module performs non-uniform quantization on the L1-RSRP or L1-SINR corresponding to each reference signal in the N reported quantity sets.

[0142] It is understood that the non-uniform quantization can refer to the different number of bits used to quantize the L1-RSRP or L1-SINR of each reference signal in the N reported quantity sets.

[0143] Understandably, the number of bits used for quantization of L1-RSRP or L1-SINR can be determined based on the numerical range of L1-RSRP or L1-SINR for each reference signal. For example, the first bit can be used to quantize L1-RSRP or L1-SINR within a first numerical range, the second bit can be used to quantize L1-RSRP or L1-SINR within a second numerical range, and so on.

[0144] For example, assuming N equals 2, the first set of reported values ​​contains the index of one reference signal and its corresponding L1-SINR, and the second set of reported values ​​contains the indices of two reference signals and their corresponding L1-SINR. The specific details of the two sets of reported values ​​can be as follows:

[0145] {CRI_0, L1-SINR0},

[0146] {CRI_1, L1-SINR1, CRI_2, L1-SINR2};

[0147] Here, the terminal uses the trained quantization algorithm, i.e., the first AI module, to determine the number of bits used to quantize L1-SINR0 based on the numerical range of L1-SINR0, assuming it is 7 bits; based on the numerical range of L1-SINR1, it determines the number of bits used to quantize L1-SINR1, assuming it is 4 bits; and based on the numerical range of L1-SINR2, it determines the number of bits used to quantize L1-SINR2, assuming it is 2 bits.

[0148] Furthermore, the terminal reports the three unquantized L1-SINRs to the network device. The network device uses the trained dequantization algorithm, i.e., the second AI module, to restore the first L1-SINR0, which is quantized using 7 bits, the second L1-SINR1, which is quantized using 4 bits, and the third L1-SINR2, which is quantized using 2 bits.

[0149] In one embodiment, the total number of bits for non-uniform quantization of L1-RSRP or L1-SINR corresponding to each reference signal in the N reported quantity sets is less than a first threshold.

[0150] For example, the terminal uses the first AI module to perform non-uniform quantization on the L1-RSRP or L / L1-SINR values ​​of N×M reference signals. The total number of bits is A bits, where A is less than a first threshold. Here, A can be configured through the RRC sent by the network device; or, A is a fixed, determined value.

[0151] In practical applications, the terminal can use a first AI module to perform non-uniform quantization on the L1-RSRP or L1-SINR of each reference signal in N reported quantity sets, and send the non-uniformly quantized reported quantity sets to the network device. The network device can then use a second AI module to restore the L1-RSRP or L1-SINR of each reference signal in the non-uniformly quantized reported quantity sets. To ensure that the terminal and the network device use the corresponding AI modules, the network device can send auxiliary information to the terminal, hoping that the terminal can select an AI module based on the auxiliary information. Thus, the terminal can use the AI ​​module matching the auxiliary information to perform non-uniform quantization on L1-RSRP or L1-SINR, and the network device can use the AI ​​module matching the auxiliary information to restore the non-uniformly quantized L1-RSRP or L1-SINR.

[0152] Based on this, in one embodiment, the method further includes:

[0153] Obtain auxiliary information sent by the network device; the auxiliary information includes channel state information and / or scheduling information.

[0154] Here, after the terminal obtains the auxiliary information, it can select an AI module that matches the auxiliary information from a preset database; and use the selected AI module that matches the auxiliary information as the first AI module.

[0155] Figure 3This is a schematic diagram illustrating the non-uniform quantization and restoration of L1-RSRP or L1-SINR by the terminal and network devices through their respective AI modules, such as... Figure 3 As shown, the terminal uses a trained quantization algorithm, i.e., the 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., the AI ​​decoding module, to restore the non-uniformly quantized L1-RSRP or L1-SINR values.

[0156] For example, suppose a terminal reports two L1-RSRPs or L1-SINRs. The terminal uses a pre-trained quantization algorithm (the first AI module) to quantize the first L1-RSRP or L1-SINR using 1 bit and the second L1-RSRP or L1-SINR using 2 bits. The terminal then reports the two unquantized L1-RSRPs or L1-SINRs to the network device. The network device uses a pre-trained dequantization algorithm (the second AI module) to restore the first L1-RSRP or L1-SINR quantized with 1 bit and the second L1-RSRP or L1-SINR quantized with 2 bits.

[0157] It is understood that the network device can also indicate one or more AI modules to the terminal based on changes in channel state and channel load; wherein, the multiple AI models do not affect the non-uniform quantization process, but only affect the inference efficiency of the terminal.

[0158] It is understood that, in addition to indicating the AI ​​module, the network device can further indicate relevant information such as the AI ​​module's accuracy, complexity, and computation time. Thus, the terminal can select the corresponding first AI module from the preset database based on this relevant information.

[0159] In practical applications, the terminal can also autonomously select a first AI module and send the relevant information of the selected first AI module to the network device. In this way, the network device uses a second AI module corresponding to the first AI module to restore the non-uniformly quantized L1-RSRP or L1-SINR.

[0160] Based on this, in one embodiment, the method further includes:

[0161] The relevant information of the selected first AI module is sent to the network device.

[0162] Here, the terminal can randomly select an AI module from a preset database as the first AI module, and send the relevant information of the selected first AI module to the network device. The relevant information may include accuracy, complexity, computation time, and other related information. The preset database can store multiple AI modules.

[0163] It is understood that the terminal can report relevant information of one or more AI modules it has selected to the network device through MAC CE or UCI, depending on its own status.

[0164] It is understood that after receiving the relevant information of the first module sent by the terminal, the network device can use the relevant information to determine the second AI module that matches the first AI module.

[0165] It is understood that the first AI module can be deployed on the terminal side and the second AI module can be deployed on the network device side. Specifically, the AI ​​module can refer to an AI / machine learning (ML) training and inference module. The terminal and the network device can also interact to train and infer parameters, such as the weights of convolutional layers.

[0166] It should be noted that, in order to ensure that the terminal and the network device use the corresponding AI module, the terminal can send relevant information of the first AI module to the network device, so that the network device can select the AI ​​module based on the relevant information. In this way, the terminal can use the first AI module to perform non-uniform quantization on L1-RSRP or L1-SINR, and the network device can use the second AI module matched with the relevant information to restore the non-uniformly quantized L1-RSRP or L1-SINR.

[0167] Table 4 illustrates how the terminal saves reporting bit overhead through non-uniform quantization. As shown in Table 4, assume that the network device is configured to report N CSI reports, each time reporting the index of M reference signals and the corresponding L1-RSRP or L1-SINR, and the network device sends B CSI-RS or SSB each time.

[0168]

[0169] Table 4

[0170] The third approach is to save reporting bit overhead by reducing the number of reported L1-RSRPs or L1-SINRs.

[0171] In practical applications, considering that the terminal can predict the reference signals used by network devices in the future, if the indices of the reference signals used by network devices in multiple fixed periods within the future period are the same, then only the index of one reference signal and its corresponding L1-RSRP or L1-SINR can be reported for multiple fixed periods. Alternatively, if the L1-RSRP or L1-SINR of the reference signals used by network devices in multiple fixed periods within the future period are the same, or if the magnitudes of the L1-RSRP or L1-SINR of the reference signals used by network devices in multiple fixed periods within the future period are similar, then only the index of one reference signal and its corresponding L1-RSRP or L1-SINR can be reported for multiple fixed periods. In other words, by using a set of reported values ​​to filter the multiple reference signals to be reported, the number of reported L1-RSRP or L1-SINR values ​​can be reduced.

[0172] Based on this, in one embodiment, the method further includes:

[0173] Among the M reported quantity sets, multiple reported quantity sets meet the preset conditions;

[0174] One set of reports is retained from the plurality of reported sets, and the other sets of reports other than the retained set are excluded from the M sets of reports, resulting in N sets of reports.

[0175] Where M is a positive integer, M equals N, or M is greater than N.

[0176] It is understood that satisfying the preset conditions includes:

[0177] The reference signal indices of any two reporting sets in the plurality of reporting sets are all or partially the same;

[0178] or,

[0179] For every two reporting sets in the plurality of reporting sets, the L1-RSRP or L1-SINR corresponding to each reference signal in one of the two reporting sets is compared with the L1-RSRP or L1-SINR corresponding to each reference signal in the other reporting set, resulting in multiple ratios; all multiple ratios are less than the second threshold.

[0180] or,

[0181] For every two reporting sets in the plurality of reporting sets, the L1-RSRP or L1-SINR corresponding to each reference signal in one of the two reporting sets is compared with the L1-RSRP or L1-SINR corresponding to each reference signal in the other reporting set to obtain multiple differences; all multiple differences are less than the third threshold.

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

[0183] It should be noted that, when reporting the index of at least one reference signal in a set of excluded reports, the index of at least one reference signal in the set of reports can be set to a specific value, indicating that the index indicated by the previous or next time step is used at this moment. Alternatively, when reporting the L1-RSRP or L1-SINR corresponding to at least one reference signal in a set of excluded reports, the L1-RSRP or L1-SINR corresponding to at least one reference signal in the set of reports can be set to a specific value, indicating that the L1-RSRP or L1-SINR indicated by the previous or next time step is used at this moment.

[0184] Example 1: The network device is configured with nrofTimeDomainBeamReporting=4 and nrofReportedRS=2 in the RRC's CSI-ReportConfig. The four sets of reported data calculated by the terminal are as follows:

[0185] {CRI_0,0,CRI_0,1,L1-SINR0,L1-SINR1},

[0186] {CRI_0,0,CRI_0,1,L1-SINR0,L1-SINR1},

[0187] {CRI_2,0,CRI_2,1,L1-SINR0,L1-SINR1},

[0188] {CRI_3,0,CRI_3,1,L1-SINR0,L1-SINR1}.

[0189] Here, since the indices of all reference signals are the same in the first and second reported sets, one reported set is retained from the two reported sets, and the other reported set is excluded from the four reported sets. The three reported sets can be as follows:

[0190] {CRI_0,0,CRI_0,1,L1-SINR0,L1-SINR1},

[0191] {CRI_2,0,CRI_2,1,L1-SINR0,L1-SINR1},

[0192] {CRI_3,0,CRI_3,1,L1-SINR0,L1-SINR1};

[0193] or,

[0194] {CRI_0,0,CRI_0,1};

[0195] {CRI_0,0,CRI_0,1,L1-SINR0,L1-SINR1},

[0196] {CRI_2,0,CRI_2,1,L1-SINR0,L1-SINR1},

[0197] {CRI_3,0,CRI_3,1,L1-SINR0,L1-SINR1};

[0198] or,

[0199] {CRI_0,0,CRI_0,1,L1-SINR0,L1-SINR1},

[0200] {CRI_0,0,CRI_0,1};

[0201] {CRI_2,0,CRI_2,1,L1-SINR0,L1-SINR1},

[0202] {CRI_3,0,CRI_3,1,L1-SINR0,L1-SINR1};

[0203] or,

[0204] {L1-SINR0, L1-SINR1},

[0205] {CRI_0,0,CRI_0,1,L1-SINR0,L1-SINR1},

[0206] {CRI_2,0,CRI_2,1,L1-SINR0,L1-SINR1},

[0207] {CRI_3,0,CRI_3,1,L1-SINR0,L1-SINR1};

[0208] or,

[0209] {CRI_0,0,CRI_0,1,L1-SINR0,L1-SINR1},

[0210] {L1-SINR0, L1-SINR1},

[0211] {CRI_2,0,CRI_2,1,L1-SINR0,L1-SINR1},

[0212] {CRI_3,0,CRI_3,1,L1-SINR0,L1-SINR1}.

[0213] Example 2: The network device configures nrofTimeDomainBeamReporting=4 and nrofReportedRS=1 in the RRC's CSI-ReportConfig. The four sets of reported data calculated by the terminal are as follows:

[0214] {CRI_0,0,L1-SINR0},

[0215] {CRI_0,0,L1-SINR0},

[0216] {CRI_2,0,L1-SINR0},

[0217] {CRI_3,0,L1-SINR0},

[0218] Here, since the indices of all reference signals are the same in the first and second reported sets, one reported set is retained from the two reported sets, and the other reported set is excluded from the four reported sets. The three reported sets can be as follows:

[0219] {CRI_0,0,L1-SINR0},

[0220] {CRI_2,0,L1-SINR0},

[0221] {CRI_3,0,L1-SINR0};

[0222] or,

[0223] {CRI_0,0}

[0224] {CRI_0,0,L1-SINR0},

[0225] {CRI_2,0,L1-SINR0},

[0226] {CRI_3,0,L1-SINR0};

[0227] or,

[0228] {L1-SINR0},

[0229] {CRI_0,0,L1-SINR0},

[0230] {CRI_2,0,L1-SINR0},

[0231] {CRI_3,0,L1-SINR0};

[0232] or,

[0233] {CRI_0,0,L1-SINR0},

[0234] {CRI_0,0}

[0235] {CRI_2,0,L1-SINR0},

[0236] {CRI_3,0,L1-SINR0};

[0237] or,

[0238] {CRI_0,0,L1-SINR0},

[0239] {L1-SINR0},

[0240] {CRI_2,0,L1-SINR0},

[0241] {CRI_3,0,L1-SINR0}.

[0242] Example 3: The network device is configured with nrofTimeDomainBeamReporting=4 and nrofReportedRS=2 in CSI-ReportConfig of RRC. The four beam groups calculated by the terminal are as follows:

[0243] {CRI_0,0,CRI_0,1,L1-SINR0,L1-SINR1},

[0244] {CRI_1,0,CRI_0,1,L1-SINR0,L1-SINR1},

[0245] {CRI_2,0,CRI_2,1,L1-SINR0,L1-SINR1},

[0246] {CRI_3,0,CRI_3,1,L1-SINR0,L1-SINR1}.

[0247] Here, since the index portions of the reference signals are the same in the first and second reported sets, one reported set is retained from the two reported sets, and the other reported set is excluded from the four reported sets. The three reported sets can be as follows:

[0248] {CRI_0,0,CRI_0,1,L1-SINR0,L1-SINR1},

[0249] {CRI_2,0,CRI_2,1,L1-SINR0,L1-SINR1},

[0250] {CRI_3,0,CRI_3,1,L1-SINR0,L1-SINR1};

[0251] or,

[0252] {CRI_0,0,CRI_0,1,L1-SINR0,L1-SINR1},

[0253] {CRI_1,0,CRI_0,1},

[0254] {CRI_2,0,CRI_2,1,L1-SINR0,L1-SINR1},

[0255] {CRI_3,0,CRI_3,1,L1-SINR0,L1-SINR1};

[0256] or,

[0257] {CRI_0,0,CRI_0,1,L1-SINR0,L1-SINR1},

[0258] {L1-SINR0, L1-SINR1},

[0259] {CRI_2,0,CRI_2,1,L1-SINR0,L1-SINR1},

[0260] {CRI_3,0,CRI_3,1,L1-SINR0,L1-SINR1};

[0261] or,

[0262] {CRI_1,0,CRI_0,1,L1-SINR0,L1-SINR1},

[0263] {CRI_2,0,CRI_2,1,L1-SINR0,L1-SINR1},

[0264] {CRI_3,0,CRI_3,1,L1-SINR0,L1-SINR1};

[0265] or,

[0266] {CRI_0,0,CRI_0,1},

[0267] {CRI_1,0,CRI_0,1,L1-SINR0,L1-SINR1},

[0268] {CRI_2,0,CRI_2,1,L1-SINR0,L1-SINR1},

[0269] {CRI_3,0,CRI_3,1,L1-SINR0,L1-SINR1};

[0270] or,

[0271] {L1-SINR0, L1-SINR1},

[0272] {CRI_1,0,CRI_0,1,L1-SINR0,L1-SINR1},

[0273] {CRI_2,0,CRI_2,1,L1-SINR0,L1-SINR1},

[0274] {CRI_3,0,CRI_3,1,L1-SINR0,L1-SINR1}.

[0275] Example 4: The network device is configured in RRC's CSI-ReportConfig with nrofTimeDomainBeamReporting=4 and nrofReportedRS=2. The four beam groups calculated by the terminal are:

[0276] {CRI_0,0,CRI_0,1,L1-SINR0,L1-SINR1},

[0277] {CRI_1,0,CRI_1,1,L1-SINR0,L1-SINR1},

[0278] {CRI_2,0,CRI_2,1,L1-SINR0,L1-SINR1},

[0279] {CRI_3,0,CRI_3,1,L1-SINR0,L1-SINR1},

[0280] Here, taking the first and second reported sets as examples, the L1-SINR of each reference signal in the first and second reported sets is compared to obtain two ratios. Alternatively, the L1-SINR of each reference signal in the first and second reported sets is subtracted to obtain two differences. If both ratios are less than the second threshold or both differences are less than the third threshold, then one reported set is retained from the two reported sets, and the other reported set is excluded from the four reported sets. The three reported sets can be specifically as follows:

[0281] {CRI_0,0,CRI_0,1,L1-SINR0,L1-SINR1},

[0282] {CRI_2,0,CRI_2,1,L1-SINR0,L1-SINR1},

[0283] {CRI_3,0,CRI_3,1,L1-SINR0,L1-SINR1};

[0284] or,

[0285] {CRI_0,0,CRI_0,1,L1-SINR0,L1-SINR1},

[0286] {CRI_1,0,CRI_1,1},

[0287] {CRI_2,0,CRI_2,1,L1-SINR0,L1-SINR1},

[0288] {CRI_3,0,CRI_3,1,L1-SINR0,L1-SINR1};

[0289] or,

[0290] {CRI_0,0,CRI_0,1,L1-SINR0,L1-SINR1},

[0291] {L1-SINR0, L1-SINR1},

[0292] {CRI_2,0,CRI_2,1,L1-SINR0,L1-SINR1},

[0293] {CRI_3,0,CRI_3,1,L1-SINR0,L1-SINR1};

[0294] or,

[0295] {CRI_1,0,CRI_1,1,L1-SINR0,L1-SINR1},

[0296] {CRI_2,0,CRI_2,1,L1-SINR0,L1-SINR1},

[0297] {CRI_3,0,CRI_3,1,L1-SINR0,L1-SINR1};

[0298] or,

[0299] {CRI_0,0,CRI_0,1},

[0300] {CRI_1,0,CRI_1,1,L1-SINR0,L1-SINR1},

[0301] {CRI_2,0,CRI_2,1,L1-SINR0,L1-SINR1},

[0302] {CRI_3,0,CRI_3,1,L1-SINR0,L1-SINR1};

[0303] or,

[0304] {L1-SINR0, L1-SINR1},

[0305] {CRI_1,0,CRI_1,1,L1-SINR0,L1-SINR1},

[0306] {CRI_2,0,CRI_2,1,L1-SINR0,L1-SINR1},

[0307] {CRI_3,0,CRI_3,1,L1-SINR0,L1-SINR1}.

[0308] It should be noted that when reporting the index of at least one reference signal, or L1-RSRP or L1-SINR, in a set of reported quantities to be excluded, the index of at least one reference signal in the set of reported quantities can be set to a specific value, indicating that the index, or L1-RSRP or L1-SINR indicated by the previous or next time moment is used at this moment.

[0309] Table 5 illustrates how a terminal can save reporting bit overhead by reducing the number of L1-RSRP or L1-SINR reports. As shown in Table 5, assume that the network device is configured to report N CSI reports, each time reporting the index of M reference signals and the corresponding L1-RSRP or L1-SINR, and the network device sends B CSI-RS or SSBs each time.

[0310]

[0311] Table 5

[0312] The embodiments of the present invention have the following advantages:

[0313] (1) The terminal can send all reference signals to be reported to the network device at once in the form of a report set, so as to reduce the number of reports and thus improve the CSI reporting efficiency.

[0314] (2) The terminal can predict the index of the reference signal used by the network device in the future and the corresponding L1-RSRP or L1-SINR, and report the predicted index of the reference signal used by the network device in the future and the corresponding L1-RSRP or L1-SINR in a CSI report.

[0315] (3) By using differential quantization, non-uniform quantization, and reducing the number of reported L1-RSRP or L1-SINR, the bit overhead of reported L1-RSRP or L1-SINR can be reduced, thereby reducing CSI reporting overhead and improving beam accuracy.

[0316] Figure 4 This is a schematic diagram illustrating the implementation flow of the CSI reporting method according to an embodiment of the present invention, applied to network devices, such as... Figure 4 As shown, the method includes step 401:

[0317] Step 401: Receive the CSI report sent by the terminal; the CSI report contains N reporting sets; each reporting set contains the index of at least one reference signal and the corresponding L1-RSRP or L1-SINR; where N represents the number of reporting sets configured by the network device; N is a positive integer.

[0318] It is understood that the reference signal includes a beam. The index may refer to SSBRI / CRI.

[0319] It is understandable that when the terminal reports a large number of reference signals to the network device, the terminal can send all the reference signals to be reported to the network device at once in the form of a set of reported signals.

[0320] In practical applications, the terminal can indicate the reference signal used by the network device over a future period. That is, the terminal can predict the reference signal used by the network device over multiple fixed periods starting from the moment the terminal sends the CSI report.

[0321] Based on this, in one embodiment, at least one reference signal in each set of reported quantities and the time slot applied to the corresponding L1-RSRP or L1-SINR are determined according to the first cycle configured by the network device.

[0322] Here, the first period can refer to the CSI reporting time domain period.

[0323] In practical applications, the network device can send CSI reporting configuration to the terminal to configure the number N of reporting sets and the first period.

[0324] Based on this, in one embodiment, the method further includes:

[0325] Configure the terminal with the number N of reported data sets and the first cycle.

[0326] In practical applications, considering that the numerical ranges of L1-RSRP or L1-SINR of each reference signal are different, using the same number of bits to quantize the L1-RSRP or L1-SINR of each reference signal in the N reported quantity sets would 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 the difference value. In this way, a larger number of bits can be used to quantize the maximum L1-RSRP or L1-SINR, and a smaller number of bits can be used to quantize the difference value. Furthermore, in order for the network device to recover the corresponding L1-RSRP or L1-SINR, the terminal can indicate the position of the reference signal corresponding to the maximum L1-RSRP or maximum L1-SINR in the N reported quantity sets. In this way, the network device can recover the maximum L1-RSRP or maximum L1-SINR using K bits and recover the remaining L1-RSRP or L1-SINR using P bits.

[0327] Based on this, in one embodiment, the CSI report further includes indication information; the indication information is used to indicate the position of the maximum L1-RSRP value or the maximum L1-SINR value in at least one L1-RSRP or L1-SINR contained in the N reported quantity sets.

[0328] For example, suppose the network device is configured with nrofTimeDomainBeamReporting=N and nrofReportedRS=M in the RRC's CSI-ReportConfig. The terminal reports N sets of reported quantities, each set containing M SSBRI / CRIs and their corresponding L1-RSRPs or L1-SINRs. The largest L1-RSRP or L1-SINR is quantized using K bits, where K bits indicate L1-RSRPs or L1-SINRs within a certain dBm range. The other (N×M)-1 L1-RSRPs or L1-SINRs are quantized using P bits, where P bits indicate the difference between other L1-RSRPs and the largest L1-RSRP, or the difference between other L1-SINRs and the largest L1-SINR. Where P < K.

[0329] Furthermore, the terminal uses a bitmap of length log(N×M) to indicate the position of the maximum L1-RSRP or maximum L1-SINR within at least one L1-RSRP or L1-SINR contained in the N reported quantity sets. Thus, the network device can use the bitmap to reconstruct the maximum L1-RSRP or maximum L1-SINR using K bits, and use P bits to reconstruct the other L1-RSRP or L1-SINR.

[0330] In practical applications, considering that AI can achieve significant gains and shows considerable application prospects in multiple fields such as DMRS detection, CSI-RS overhead reduction, CSI feedback, beam management, and positioning, the terminal can be equipped with a first AI module. This first AI module performs non-uniform quantization on the L1-RSRP or L1-SINR of each reference signal in N sets of reported quantities. The network device can be equipped with a second AI module, which restores the L1-RSRP or L1-SINR of each reference signal in the N sets of reported quantities after non-uniform quantization.

[0331] Based on this, in one embodiment, the method further includes:

[0332] The second AI module restores the L1-RSRP or L1-SINR of each reference signal in the N sets of reported quantities after non-uniform quantization.

[0333] For example, assuming N equals 2, the first set of reported values ​​contains the index of one reference signal and its corresponding L1-SINR, and the second set of reported values ​​contains the indices of two reference signals and their corresponding L1-SINR. The specific details of the two sets of reported values ​​can be as follows:

[0334] {CRI_0, L1-SINR0},

[0335] {CRI_1, L1-SINR1, CRI_2, L1-SINR2};

[0336] Here, the terminal uses the trained quantization algorithm, i.e., the first AI module, to determine the number of bits used to quantize L1-SINR0 based on the numerical range of L1-SINR0, assuming it is 7 bits; based on the numerical range of L1-SINR1, it determines the number of bits used to quantize L1-SINR1, assuming it is 4 bits; and based on the numerical range of L1-SINR2, it determines the number of bits used to quantize L1-SINR2, assuming it is 2 bits.

[0337] Furthermore, the terminal reports the three unquantized L1-SINRs to the network device. The network device uses the trained dequantization algorithm, i.e., the second AI module, to restore the first L1-SINR0, which is quantized using 7 bits, the second L1-SINR1, which is quantized using 4 bits, and the third L1-SINR2, which is quantized using 2 bits.

[0338] In one embodiment, the total number of bits for non-uniform quantization of L1-RSRP or L1-SINR corresponding to each reference signal in the N reported quantity sets is less than a first threshold.

[0339] In practical applications, the terminal can use a first AI module to perform non-uniform quantization on the L1-RSRP or L1-SINR of each reference signal in N reported quantity sets, and send the non-uniformly quantized reported quantity sets to the network device. The network device can then use a second AI module to restore the L1-RSRP or L1-SINR of each reference signal in the non-uniformly quantized reported quantity sets. To ensure that the terminal and the network device use the corresponding AI modules, the network device can send auxiliary information to the terminal, hoping that the terminal can select an AI module based on the auxiliary information. Thus, the terminal can use the AI ​​module matching the auxiliary information to perform non-uniform quantization on L1-RSRP or L1-SINR, and the network device can use the AI ​​module matching the auxiliary information to restore the non-uniformly quantized L1-RSRP or L1-SINR.

[0340] Based on this, in one embodiment, the method further includes:

[0341] Send auxiliary information to the terminal; the auxiliary information includes channel state information and / or scheduling information.

[0342] In practical applications, the terminal can also autonomously select a first AI module and send the relevant information of the selected first AI module to the network device. In this way, the network device uses a second AI module corresponding to the first AI module to restore the non-uniformly quantized L1-RSRP or L1-SINR.

[0343] Based on this, in one embodiment, the method further includes:

[0344] The receiving terminal sends information related to the first AI module.

[0345] Here, the terminal can select an AI module from a preset database as the first AI module and send relevant information about the selected first AI module to the network device. This relevant information may include parameters such as accuracy, complexity, and computation time. The preset database can store multiple AI modules.

[0346] It should be noted that, in order to ensure that the terminal and the network device use the corresponding AI module, the terminal can send relevant information of the first AI module to the network device, so that the network device can select the AI ​​module based on the relevant information. In this way, the terminal can use the first AI module to perform non-uniform quantization on L1-RSRP or L1-SINR, and the network device can use the second AI module matched with the relevant information to restore the non-uniformly quantized L1-RSRP or L1-SINR.

[0347] In practical applications, considering that the terminal can predict the reference signals used by network devices in the future, if the indices of the reference signals used by network devices in multiple fixed periods within the future period are the same, then only the index of one reference signal and its corresponding L1-RSRP or L1-SINR can be reported for multiple fixed periods. Alternatively, if the L1-RSRP or L1-SINR of the reference signals used by network devices in multiple fixed periods within the future period are the same, or if the magnitudes of the L1-RSRP or L1-SINR of the reference signals used by network devices in multiple fixed periods within the future period are similar, then only the index of one reference signal and its corresponding L1-RSRP or L1-SINR can be reported for multiple fixed periods. In other words, by using a set of reported values ​​to filter the multiple reference signals to be reported, the number of reported L1-RSRP or L1-SINR values ​​can be reduced.

[0348] Based on this, in one embodiment, multiple reporting sets among the M reporting sets meet preset conditions; one reporting set is retained from the multiple reporting sets, and the other reporting sets besides the retained one are excluded from the M reporting sets, resulting in N reporting sets;

[0349] Where M is a positive integer, M equals N, or M is greater than N.

[0350] It is understood that satisfying the preset conditions includes:

[0351] The reference signal indices of any two reporting sets in the plurality of reporting sets are all or partially the same;

[0352] or,

[0353] For every two reporting sets in the plurality of reporting sets, the L1-RSRP or L1-SINR corresponding to each reference signal in one of the two reporting sets is compared with the L1-RSRP or L1-SINR corresponding to each reference signal in the other reporting set, resulting in multiple ratios; all multiple ratios are less than the second threshold.

[0354] or,

[0355] For every two reporting sets in the plurality of reporting sets, the L1-RSRP or L1-SINR corresponding to each reference signal in one of the two reporting sets is compared with the L1-RSRP or L1-SINR corresponding to each reference signal in the other reporting set to obtain multiple differences; all multiple differences are less than the third threshold.

[0356] In one embodiment, the CSI report also includes an index to at least one reference signal from the set of other excluded reports;

[0357] or,

[0358] The CSI report also includes at least one L1-RSRP or L1-SINR corresponding to a reference signal from the excluded set of reported quantities.

[0359] It should be noted that, when reporting the index of at least one reference signal in a set of excluded reports, the index of at least one reference signal in the set of reports can be set to a specific value, indicating that the index indicated by the previous or next time step is used at this moment. Alternatively, when reporting the L1-RSRP or L1-SINR corresponding to at least one reference signal in a set of excluded reports, the L1-RSRP or L1-SINR corresponding to at least one reference signal in the set of reports can be set to a specific value, indicating that the L1-RSRP or L1-SINR indicated by the previous or next time step is used at this moment.

[0360] In this embodiment of the invention, the following advantages are specifically observed:

[0361] (1) The terminal can send all reference signals to be reported to the network device at once in the form of a report set, so as to reduce the number of reports and thus improve the CSI reporting efficiency.

[0362] (2) The terminal can predict the index of the reference signal used by the network device in the future and the corresponding L1-RSRP or L1-SINR, and report the predicted index of the reference signal used by the network device in the future and the corresponding L1-RSRP or L1-SINR in a CSI report.

[0363] (3) By using differential quantization, non-uniform quantization, and reducing the reported L1-RSRP or L1-SINR, the bit overhead of the reported L1-RSRP or L1-SINR can be reduced, thereby reducing the CSI reporting overhead and improving beam accuracy.

[0364] To implement the CSI reporting method of this invention, this invention also provides a CSI reporting device. Figure 5 This is a schematic diagram of the composition structure of the CSI reporting device according to an embodiment of the present invention, as shown below. Figure 5 As shown, the device includes:

[0365] The sending unit 51 is used to send a CSI report to the network device; the CSI report contains N sets of reported quantities; each set of reported quantities contains an index of at least one reference signal and the corresponding L1-RSRP or L1-SINR;

[0366] Wherein, N represents the number of sets of reported data configured by the network device; N is a positive integer.

[0367] In one embodiment, at least one reference signal in each set of reported quantities and the corresponding time slot applied to the L1-RSRP or L1-SINR are determined according to a first period configured by the network device.

[0368] In one embodiment, the device is further configured to:

[0369] The maximum L1-RSRP value or maximum L1-SINR value in the N sets of reported quantities is quantized using K bits. Using the maximum L1-RSRP value or maximum L1-SINR value as a reference, each other L1-RSRP or L1-SINR value in the N sets of reported quantities, excluding the maximum L1-RSRP or maximum L1-SINR value, is differentially quantized using P bits.

[0370] Where K and P are both positive integers, and K is greater than P.

[0371] In one embodiment, the CSI report further includes indication information; the indication information is used to indicate the position of the maximum L1-RSRP value or the maximum L1-SINR value in at least one L1-RSRP or L1-SINR contained in the N reported quantity sets.

[0372] In one embodiment, the device is further configured to:

[0373] The first AI module performs non-uniform quantization on the L1-RSRP or L1-SINR corresponding to each reference signal in the N reported quantity sets.

[0374] Furthermore, according to at least one embodiment of the present invention, the total number of bits for non-uniform quantization of L1-RSRP or L1-SINR corresponding to each reference signal in the N reported quantity sets is less than a first threshold.

[0375] In one embodiment, the device is further configured to:

[0376] Obtain auxiliary information sent by the network device; the auxiliary information includes channel state information and / or scheduling information.

[0377] Furthermore, according to at least one embodiment of the present invention, the method further includes:

[0378] The relevant information of the first AI module is sent to the network device.

[0379] In one embodiment, the device is further configured to:

[0380] Among the M reported quantity sets, multiple reported quantity sets meet the preset conditions;

[0381] One set of reports is retained from the plurality of reported sets, and the other sets of reports other than the retained set are excluded from the M sets of reports, resulting in N sets of reports.

[0382] Where M is a positive integer, M equals N, or M is greater than N.

[0383] In one embodiment, the CSI report also includes an index to at least one reference signal from the set of other excluded reports;

[0384] or,

[0385] The CSI report also includes at least one L1-RSRP or L1-SINR corresponding to a reference signal from the excluded set of reported quantities.

[0386] In one embodiment, the condition that is satisfied is:

[0387] The reference signal indices of any two reporting sets in the plurality of reporting sets are all or partially the same;

[0388] or,

[0389] For every two reporting sets in the plurality of reporting sets, the L1-RSRP or L1-SINR corresponding to each reference signal in one of the two reporting sets is compared with the L1-RSRP or L1-SINR corresponding to each reference signal in the other reporting set, resulting in multiple ratios; all multiple ratios are less than the second threshold.

[0390] or,

[0391] For every two reporting sets in the plurality of reporting sets, the L1-RSRP or L1-SINR corresponding to each reference signal in one of the two reporting sets is compared with the L1-RSRP or L1-SINR corresponding to each reference signal in the other reporting set to obtain multiple differences; all multiple differences are less than the third threshold.

[0392] In practical applications, the sending unit 51 can be implemented by the communication interface in the CSI reporting device.

[0393] It should be noted that the CSI reporting device provided in the above embodiments is only illustrated by the division of the above program modules. In actual applications, the above processing can be assigned to different program modules as needed, that is, the internal structure of the device can be divided into different program modules to complete all or part of the processing described above. In addition, the CSI reporting device and the CSI reporting method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

[0394] To implement the CSI reporting method of this invention, this invention also provides a CSI reporting device. Figure 6 This is a schematic diagram of the composition structure of the CSI reporting device according to an embodiment of the present invention, as shown below. Figure 6 As shown, the device includes:

[0395] The receiving unit 61 is used to receive the CSI report sent by the terminal; the CSI report contains N sets of reported quantities; each set of reported quantities contains an index of at least one reference signal and the corresponding L1-RSRP or L1-SINR;

[0396] Wherein, N represents the number of sets of reported data configured by the network device; N is a positive integer.

[0397] In one embodiment, at least one reference signal in each set of reported quantities and the corresponding time slot applied to the L1-RSRP or L1-SINR are determined according to a first period configured by the network device.

[0398] In one embodiment, the device is further configured to:

[0399] Configure the terminal with the number N of reported data sets and the first cycle.

[0400] In one embodiment, the CSI report further includes indication information; the indication information is used to indicate the position of the maximum L1-RSRP value or the maximum L1-SINR value in at least one L1-RSRP or L1-SINR contained in the N reported quantity sets.

[0401] In one embodiment, the device is further configured to:

[0402] The second AI module restores the L1-RSRP or L1-SINR of each reference signal in the N sets of reported quantities after non-uniform quantization.

[0403] In one embodiment, the total number of bits for non-uniform quantization of L1-RSRP or L1-SINR corresponding to each reference signal in the N reported quantity sets is less than a first threshold.

[0404] In one embodiment, the device is further configured to:

[0405] Send auxiliary information to the terminal; the auxiliary information includes channel state information and / or scheduling information.

[0406] In one embodiment, the device is further configured to:

[0407] The receiving terminal sends information about the first AI module.

[0408] In one embodiment,

[0409] Among the M reported quantity sets, multiple reported quantity sets meet the preset conditions;

[0410] One set of reports is retained from the plurality of reported sets, and the other sets of reports other than the retained set are excluded from the M sets of reports, resulting in N sets of reports.

[0411] Where M is a positive integer, M equals N, or M is greater than N.

[0412] In one embodiment, the CSI report also includes an index to at least one reference signal from the set of other excluded reports;

[0413] or,

[0414] The CSI report also includes at least one L1-RSRP or L1-SINR corresponding to a reference signal from the excluded set of reported quantities.

[0415] In one embodiment, satisfying the preset conditions includes:

[0416] The reference signal indices of any two reporting sets in the plurality of reporting sets are all or partially the same;

[0417] or,

[0418] For every two reporting sets in the plurality of reporting sets, the L1-RSRP or L1-SINR corresponding to each reference signal in one of the two reporting sets is compared with the L1-RSRP or L1-SINR corresponding to each reference signal in the other reporting set, resulting in multiple ratios; all multiple ratios are less than the second threshold.

[0419] or,

[0420] For every two reporting sets in the plurality of reporting sets, the L1-RSRP or L1-SINR corresponding to each reference signal in one of the two reporting sets is compared with the L1-RSRP or L1-SINR corresponding to each reference signal in the other reporting set to obtain multiple differences; all multiple differences are less than the third threshold.

[0421] In practical applications, the receiving unit 61 can be implemented by the communication interface in the CSI reporting device.

[0422] It should be noted that the CSI reporting device provided in the above embodiments is only illustrated by the division of the above program modules. In actual applications, the above processing can be assigned to different program modules as needed, that is, the internal structure of the device can be divided into different program modules to complete all or part of the processing described above. In addition, the CSI reporting device and the CSI reporting method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

[0423] This invention also provides a terminal, such as... Figure 7 As shown, it includes:

[0424] The first communication interface 71 is capable of exchanging information with other devices;

[0425] The first processor 73, connected to the first communication interface 71, is used to execute the methods provided by one or more of the aforementioned terminal-side technical solutions when running a computer program. The computer program is stored in the first memory 73.

[0426] It should be noted that the specific processing procedures of the first processor 73 and the first communication interface 71 are detailed in the method embodiment and will not be repeated here.

[0427] Of course, in practical applications, the various components in terminal 70 are coupled together through bus system 74. It can be understood that bus system 74 is used to implement communication between these components. In addition to a data bus, bus system 74 also includes a power bus, a control bus, and a status signal bus. However, for clarity, in... Figure 7 The general labeled all buses as Bus System 74.

[0428] The first memory 73 in this embodiment is used to store various types of data to support the operation of the terminal 70. Examples of such data include any computer program used to operate on the terminal 70.

[0429] The methods disclosed in the embodiments of this application can be applied to the first processor 73, or implemented by the first processor 73. The first processor 73 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the integrated logic circuit of the hardware or by instructions in the form of software in the first processor 73. The first processor 73 may be a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The first processor 73 can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor may be a microprocessor or any conventional processor, etc. The steps of the methods disclosed in the embodiments of this application can be directly reflected as being executed by a hardware decoding processor, or being executed by a combination of hardware and software modules in the decoding processor. The software modules may be located in a storage medium, which is located in the first memory 73. The first processor 73 reads the information in the first memory 73 and combines its hardware to complete the steps of the aforementioned method.

[0430] This invention also provides a network device, such as... Figure 8 As shown, it includes:

[0431] The second communication interface 81 is capable of exchanging information with other devices;

[0432] The second processor 82, connected to the second communication interface 81, is used to execute the methods provided by one or more technical solutions on the network device side when running a computer program. The computer program is stored in the second memory 83.

[0433] It should be noted that the specific processing procedures of the second processor 82 and the second communication interface 81 are detailed in the method embodiment and will not be repeated here.

[0434] Of course, in practical applications, the various components in network device 80 are coupled together through bus system 84. It can be understood that bus system 84 is used to implement communication between these components. In addition to a data bus, bus system 84 also includes a power bus, a control bus, and a status signal bus. However, for clarity, in... Figure 8 The general labeled all buses as Bus System 84.

[0435] The second memory 83 in this embodiment is used to store various types of data to support the operation of the network device 80. Examples of such data include any computer programs used to operate on the network device 80.

[0436] The methods disclosed in the embodiments of this application can be applied to the second processor 82, or implemented by the second processor 82. The second processor 82 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the integrated logic circuit of the hardware or by instructions in the form of software in the second processor 82. The second processor 82 may be a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The second processor 82 can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor may be a microprocessor or any conventional processor, etc. The steps of the methods disclosed in the embodiments of this application can be directly manifested as being executed by a hardware decoding processor, or being executed by a combination of hardware and software modules in the decoding processor. The software modules may be located in a storage medium, which is located in the second memory 83. The second processor 82 reads the information in the second memory 83 and combines its hardware to complete the steps of the aforementioned method.

[0437] In an exemplary embodiment, the terminal 70 and the network device 80 may be implemented by 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, microcontrollers (MCUs), microprocessors, or other electronic components to perform the aforementioned method.

[0438] It is understood that the memories (first memory 73, second memory 83) in the embodiments of this application can be volatile memory or non-volatile memory, or both. Non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), ferromagnetic random access memory (FRAM), flash memory, magnetic surface memory, optical disc, or compact disc read-only memory (CD-ROM); magnetic surface memory can be disk storage or magnetic tape storage. Volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, 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), and Direct Rambus Random Access Memory (DRRAM).The memories described in the embodiments of this application are intended to include, but are not limited to, these and any other suitable types of memories.

[0439] In an exemplary embodiment, the present invention also provides a storage medium, namely a computer storage medium, specifically a computer-readable storage medium, such as a memory that stores a computer program. This computer program can be executed by the first processor 73 of the terminal 70 to complete the steps described in the aforementioned 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 disc, or CD-ROM.

[0440] It should be noted that terms such as "first" and "second" are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0441] Furthermore, the technical solutions described in the embodiments of the present invention can be combined arbitrarily without conflict.

[0442] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention.

Claims

1. A method for reporting Channel State Information (CSI), characterized in that, Applied to a terminal, the method includes: Send a CSI report to the network device; the CSI report contains N sets of reported quantities; each set of reported quantities contains an index of at least one reference signal and the corresponding Layer 1 Reference Signal Received Power (L1-RSRP) or Layer 1 Signal-to-Interference-plus-Noise Ratio (L1-SINR); the time slot applied to at least one reference signal and the corresponding L1-RSRP or L1-SINR in each set of reported quantities is determined according to the first cycle configured by the network device; Wherein, N represents the number of sets of reported data configured by the network device; N is a positive integer.

2. The method according to claim 1, characterized in that, The method further includes: The maximum L1-RSRP value or maximum L1-SINR value in the N sets of reported quantities is quantized using K bits. Using the maximum L1-RSRP value or maximum L1-SINR value as a reference, each other L1-RSRP or L1-SINR value in the N sets of reported quantities, excluding the maximum L1-RSRP or maximum L1-SINR value, is differentially quantized using P bits. Where K and P are both positive integers, and K is greater than P.

3. The method according to claim 2, characterized in that, The CSI report also includes indication information; the indication information is used to indicate the position of the maximum L1-RSRP value or the maximum L1-SINR value in at least one L1-RSRP or L1-SINR contained in the N reported quantity sets.

4. The method according to claim 1, characterized in that, The method further includes: The first artificial intelligence (AI) module performs non-uniform quantization on the L1-RSRP or L1-SINR corresponding to each reference signal in the N reported quantity sets.

5. The method according to claim 4, characterized in that, The total number of bits for non-uniform quantization of L1-RSRP or L1-SINR corresponding to each reference signal in the N reported quantity sets is less than the first threshold.

6. The method according to claim 4, characterized in that, The method further includes: Obtain auxiliary information sent by the network device; the auxiliary information includes channel state information and / or scheduling information.

7. The method according to claim 4, characterized in that, The method further includes: The relevant information of the first AI module is sent to the network device.

8. The method according to claim 1, characterized in that, The method further includes: Among the M reported quantity sets, multiple reported quantity sets meet the preset conditions; One set of reports is retained from the plurality of reported sets, and the other sets of reports other than the retained set are excluded from the M sets of reports, resulting in N sets of reports. Where M is a positive integer, M equals N, or M is greater than N.

9. The method according to claim 8, characterized in that, The CSI report also includes an index to at least one reference signal from the excluded set of reported quantities; or, The CSI report also includes at least one L1-RSRP or L1-SINR corresponding to a reference signal from the excluded set of reported quantities.

10. The method according to claim 8, characterized in that, The preset conditions are met: The reference signal indices of any two reporting sets in the plurality of reporting sets are all or partially the same; or, For every two reporting sets in the plurality of reporting sets, the L1-RSRP or L1-SINR corresponding to each reference signal in one of the two reporting sets is compared with the L1-RSRP or L1-SINR corresponding to each reference signal in the other reporting set, resulting in multiple ratios; all multiple ratios are less than the second threshold. or, For every two reporting sets in the plurality of reporting sets, the L1-RSRP or L1-SINR corresponding to each reference signal in one of the two reporting sets is compared with the L1-RSRP or L1-SINR corresponding to each reference signal in the other reporting set to obtain multiple differences; all multiple differences are less than the third threshold.

11. A CSI reporting method, characterized in that, Applied to network devices, the method includes: The receiving terminal sends a CSI report; the CSI report contains N sets of reported quantities; each set of reported quantities contains an index of at least one reference signal and a corresponding L1-RSRP or L1-SINR; the time slot applied to at least one reference signal and the corresponding L1-RSRP or L1-SINR in each set of reported quantities is determined according to the first cycle configured by the network device; Wherein, N represents the number of sets of reported data configured by the network device; N is a positive integer.

12. The method according to claim 11, characterized in that, The CSI report also includes indication information; the indication information is used to indicate the position of the maximum L1-RSRP value or the maximum L1-SINR value in at least one L1-RSRP or L1-SINR contained in the N reported quantity sets.

13. The method according to claim 11, characterized in that, The method further includes: The second AI module restores the L1-RSRP or L1-SINR of each reference signal in the N sets of reported quantities after non-uniform quantization.

14. The method according to claim 13, characterized in that, The total number of bits for non-uniform quantization of L1-RSRP or L1-SINR corresponding to each reference signal in the N reported quantity sets is less than the first threshold.

15. The method according to claim 13, characterized in that, The method further includes: Send auxiliary information to the terminal; the auxiliary information includes channel state information and / or scheduling information.

16. The method according to claim 13, characterized in that, The method further includes: The receiving terminal sends information about the first AI module.

17. The method according to claim 11, characterized in that, Among the M reported quantity sets, multiple reported quantity sets meet the preset conditions; One set of reports is retained from the plurality of reported sets, and the other sets of reports other than the retained set are excluded from the M sets of reports, resulting in N sets of reports. Where M is a positive integer, M equals N, or M is greater than N.

18. The method according to claim 17, characterized in that, The CSI report also includes an index to at least one reference signal from the excluded set of reported quantities; or, The CSI report also includes at least one L1-RSRP or L1-SINR corresponding to a reference signal from the excluded set of reported quantities.

19. The method according to claim 17, characterized in that, The preset conditions include: The reference signal indices of any two reporting sets in the plurality of reporting sets are all or partially the same; or, For every two reporting sets in the plurality of reporting sets, the L1-RSRP or L1-SINR corresponding to each reference signal in one of the two reporting sets is compared with the L1-RSRP or L1-SINR corresponding to each reference signal in the other reporting set, resulting in multiple ratios; all multiple ratios are less than the second threshold. or, For every two reporting sets in the plurality of reporting sets, the L1-RSRP or L1-SINR corresponding to each reference signal in one of the two reporting sets is compared with the L1-RSRP or L1-SINR corresponding to each reference signal in the other reporting set to obtain multiple differences; all multiple differences are less than the third threshold.

20. A CSI reporting device, characterized in that, include: A sending unit is used to send a CSI report to a network device; the CSI report contains N sets of reported quantities; each set of reported quantities contains an index of at least one reference signal and a corresponding L1-RSRP or L1-SINR; the time slot applied to at least one reference signal and the corresponding L1-RSRP or L1-SINR in each set of reported quantities is determined according to a first cycle configured by the network device. Wherein, N represents the number of sets of reported data configured by the network device; N is a positive integer.

21. A CSI reporting device, characterized in that, include: A receiving unit is used to receive a CSI report sent by a terminal; the CSI report contains N sets of reported quantities; each set of reported quantities contains an index of at least one reference signal and a corresponding L1-RSRP or L1-SINR; the time slot applied to at least one reference signal and the corresponding L1-RSRP or L1-SINR in each set of reported quantities is determined according to the first cycle configured by the network device. Wherein, N represents the number of sets of reported data configured by the network device; N is a positive integer.

22. A terminal, characterized in that, It includes a first processor and a first memory for storing computer programs that can run on the processor. Wherein, when the first processor is used to run the computer program, it performs the steps of the method according to any one of claims 1 to 10.

23. A network device, characterized in that, Includes a second processor and a second memory for storing computer programs that can run on the processor. Wherein, when the second processor is used to run the computer program, it performs the steps of the method according to any one of claims 11 to 19.

24. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 10, or implements the steps of the method according to any one of claims 11 to 19.

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