Channel measurement method, communication devices and storage medium

Abstract

The present application provides a channel measurement method, communication devices and a storage medium. The channel measurement method, applied to a first communication device, comprises: receiving higher-layer configuration signaling, wherein the higher-layer configuration signaling comprises a plurality of sub-configurations; on the basis of the sub-configurations, obtaining one or more channel state information (CSI) sub-reports; and reporting a multi-CSI report to a second communication device, wherein the multi-CSI report is obtained on the basis of the one or more CSI sub-reports and at least one of the plurality of sub-configurations.

Description

Channel measurement method, communication device and storage medium TECHNICAL FIELD

[0001] The present application relates to the technical field of communication, in particular to a channel measurement method, a communication device and a storage medium. BACKGROUND

[0002] With the development of 5G, the application of large bandwidth and large-scale antenna, the energy consumption of the base station also increases, and by closing part of the antenna ports or adjusting the transmission power, the energy consumption of the base station can be reduced. Closing part of the antenna ports or adjusting the transmission power will cause the channel to change, thereby affecting the data transmission performance. Obtaining channel state information under various conditions can help the base station determine whether part of the antenna ports can be closed or the transmission power can be adjusted to achieve the purpose of power saving, or whether the antenna ports should be opened to ensure the transmission requirements of data. The user equipment (User Equipment, UE) needs to provide multiple channel state information (Channel State Information, CSI) reports to the base station, which may affect the implementation complexity of the UE.

[0003] Artificial intelligence (Artificial Intelligence, AI) or deep learning can also be applied to the field of communication, and through AI or deep learning, the processing work of the UE or the base station can be reduced, the latency can be reduced, and the data amount of data transmission can be reduced. SUMMARY

[0004] Therefore, the embodiments of the present application provide a channel measurement method, a communication device and a storage medium, which reduce the reporting workload of the UE in CSI measurement and reduce the reporting delay, so that the base station can realize faster antenna port switching or function adjustment.

[0005] The embodiments of the present application provide a channel measurement method applied to a first communication device, comprising:

[0006] receiving high-layer configuration signaling, wherein the high-layer configuration signaling comprises multiple sub-configurations;

[0007] obtaining one or more CSI sub-reports according to the sub-configurations;

[0008] reporting multiple CSI reports to a second communication device, wherein the multiple CSI reports are obtained according to at least one of the one or more CSI sub-reports and the multiple sub-configurations.

[0009] The embodiments of the present application provide a channel measurement method applied to a second communication device, comprising:

[0010] sending high-layer configuration signaling to a first communication device, wherein the high-layer configuration signaling comprises multiple sub-configurations;

[0011] receive the first multiple CSI reports reported by the first communication device; wherein the first multiple CSI reports are obtained according to the sub-configuration.

[0012] Embodiments of the present application provide a channel measurement device, applied to a first communication device, comprising:

[0013] a receiver, configured to receive high-layer configuration signaling, wherein the high-layer configuration signaling comprises a plurality of sub-configurations;

[0014] a generator, configured to obtain one or more CSI sub-reports according to the sub-configurations;

[0015] a communication module, configured to report multiple CSI reports to a second communication device, wherein the multiple CSI reports are obtained according to the one or more CSI sub-reports and at least one of the plurality of sub-configurations.

[0016] Embodiments of the present application provide a channel measurement device, applied to a second communication device, comprising:

[0017] a transmitter, configured to send high-layer configuration signaling to a first communication device, wherein the high-layer configuration signaling comprises a plurality of sub-configurations;

[0018] a receiver, configured to receive first multiple CSI reports reported by the first communication device; wherein the first multiple CSI reports are obtained according to the sub-configurations.

[0019] Embodiments of the present application provide a communication device, comprising a memory and one or more processors.

[0020] The memory is configured to store one or more programs.

[0021] When the one or more programs are executed by the one or more processors, the one or more processors implement the method of any of the above embodiments.

[0022] Embodiments of the present application provide a storage medium, which stores a computer program, and the computer program is executed by a processor to implement the method of any of the above embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0023] Fig. 1 is a flow chart of a channel measurement method according to an embodiment of the present application;

[0024] Fig. 2 is a flow chart of another channel measurement method according to an embodiment of the present application;

[0025] Fig. 3 is a schematic diagram of generation and reception of multiple CSI reports according to an embodiment of the present application;

[0026] FIG. 4 is a schematic diagram of a prediction implementation of a CSI sub-report according to an embodiment of the present application;

[0027] FIG. 5 is a schematic diagram of a frequency domain prediction implementation according to an embodiment of the present application;

[0028] FIG. 6 is a schematic diagram of a CSI-RS measurement implementation according to an embodiment of the present application;

[0029] FIG. 7 is a schematic diagram of a determination implementation of a first time period and a second time period according to an embodiment of the present application;

[0030] FIG. 8 is a schematic diagram of another determination implementation of a first time period and a second time period according to an embodiment of the present application;

[0031] FIG. 9 is a schematic diagram of another CSI-RS measurement implementation according to an embodiment of the present application;

[0032] FIG. 10 is a schematic diagram of a determination implementation of a first time period, a second time period and a third time period according to an embodiment of the present application;

[0033] FIG. 11 is a structural block diagram of a channel measurement device according to an embodiment of the present application;

[0034] FIG. 12 is a structural block diagram of another channel measurement device according to an embodiment of the present application;

[0035] FIG. 13 is a structural diagram of a communication device according to an embodiment of the present application. DETAILED DESCRIPTION

[0036] Hereinafter, the embodiments of the present application will be described with reference to the accompanying drawings. The present application will be described below with reference to the accompanying drawings, and the examples are only used to explain the present application, and are not used to limit the scope of the present application.

[0037] In New Radio (NR), one CSI report configuration (CSI-Report Config) can be configured with one or more sub-configurations, each sub-configuration is associated with at least one of the following:

[0038] Port subset indication (PortSubsetIndicator) is used to indicate a subset of channel state information reference signal (CSI-RS) antenna ports;

[0039] Power offset, used to indicate the power offset of PDSCH relative to CSI-RS in addition to the power control offset of CSI-RS resource configured in CSI-RS resource.

[0040] CSI-RS resource list (nzp-CSI-RS-ResourceList), used to indicate one or more CSI-RS resources.

[0041] For periodic CSI reporting (CSI-ReportConfig), the UE reports CSI reports according to configured sub-configurations, each sub-configuration corresponding to a CSI sub-report.

[0042] For aperiodic and semi-persistent CSI-ReportConfig, the UE reports CSI reports according to activated sub-configurations, each sub-configuration corresponding to a CSI sub-report.

[0043] Each sub-configuration corresponds to an antenna shutdown mode or a power adjustment mode. The antenna shutdown mode or the power adjustment mode is indicated by a port subset, a CSI-RS resource list, and / or a power offset.

[0044] The CSI sub-report associated with the sub-configuration corresponding to a CSI-ReportConfig is reported in the same CSI report. The report of reporting multiple CSI sub-reports in one CSI report is called multi-CSI (Multi-CSI) report.

[0045] In the scheme of the present application, AI or deep learning is applied to the multi-CSI report, and the prediction of the CSI sub-report can be realized according to the association relationship between the sub-configurations. Thus, the workload of the UE on CSI measurement reporting can be reduced, the delay of multi-CSI reporting can be reduced, and the base station can realize faster antenna port switching or power adjustment.

[0046] In the embodiments of the present application, multi-CSI (multi-CSI) refers to a CSI report including multiple groups of CSI sub-reports (which can also be referred to as multiple CSI sub-reports). Each group of CSI sub-reports is generated based on a sub-configuration.

[0047] The different sub-configurations correspond to at least one of the following: different numbers of antenna ports, different power offsets, different CSI reporting configurations, or different base station antenna patterns.

[0048] The CSI sub-reports in the multi-CSI can also be generated based on different CSI reporting configurations (CSI-ReportConfig), i.e., one CSI sub-report corresponds to one CSI reporting configuration.

[0049] The multi-CSI can include CSI reports generated by non-AI models and CSI reports generated by the same AI model.

[0050] The multi-CSI can include CSI reports generated by different AI models or CSI reports generated / obtained by non-AI models.

[0051] In an embodiment, FIG. 1 is a flowchart of a channel measurement method provided by the embodiments of the present application. The present embodiment is applied to the case where multiple CSI sub-reports are reported together between a base station and a terminal. The present embodiment can be performed by a first communication device. Exemplarily, the first communication device can be a terminal side, such as various types of UEs. The various types of UEs can also include or be referred to by those skilled in the art as a mobile station, a user station, a mobile unit, a user unit, a wireless unit, a remote unit, a mobile device, a wireless device, a wireless communication device, a remote device, a mobile user station, an access terminal, a mobile terminal, a wireless terminal, a remote terminal, a handheld device, a user agent, a mobile client, a client, a passive tag, or some other appropriate terminology. In addition, the various types of UEs can also be a cellular phone, a personal digital assistant (PDA), a wireless modem, a wireless communication device, a handheld device, a tablet computer, a laptop computer, a cordless phone, and a wireless local loop (WLL) station, etc. The various types of UEs can communicate with various types of base stations and network devices, including macro eNBs, small cell eNBs, relay base stations, etc.

[0052] As shown in FIG. 1, the present embodiment includes S110-S130.

[0053] S110, receiving high-layer configuration signaling, the high-layer configuration signaling including multiple sub-configurations.

[0054] In an example, the high layer configuration signaling can include, but is not limited to, one of the following: Radio Resource Control (RRC) signaling, MAC-CE, and Non-Access Stratum (NAS) signaling. In an example, the first communication device receives the high layer configuration signaling sent by the second communication device, and includes one or more sub-configurations in the high layer configuration signaling. In an example, the sub-configuration includes at least one of the following: port subset indication, power offset, and CSI-RS resource list.

[0055] S120, obtaining one or more CSI sub-reports according to the sub-configurations.

[0056] S130, reporting the multiple CSI reports to the second communication device; wherein the multiple CSI reports are obtained according to the one or more CSI sub-reports and at least one of the multiple sub-configurations.

[0057] The first communication device can report one or more CSI sub-reports associated with the corresponding sub-configuration in the same multiple CSI report, thereby reducing the workload of the first communication device in CSI reporting, reducing the reporting delay of the multiple CSI reports, and further enabling the second communication device to achieve faster antenna port switching or power adjustment.

[0058] In an embodiment, the channel measurement method applied to the first communication device further includes: compressing the multiple CSI reports to obtain compressed multiple CSI reports. In an example, the multiple sub-configurations in one CSI report configuration have a certain association relationship, and correspondingly, the multiple CSI sub-reports obtained based on the sub-configurations also have a certain association relationship. The association relationship can be used to compress the transmission indication information of the multiple CSI sub-reports based on AI or deep learning methods, so as to reduce the bit number of the multiple CSI reports.

[0059] In an embodiment, the multiple CSI reports are compressed to obtain compressed multiple CSI reports, including:

[0060] The transmission indication information in at least part of the CSI sub-reports in the multiple CSI reports is compressed respectively to obtain compressed multiple CSI reports; or,

[0061] The transmission indication information in at least part of the CSI sub-reports in the multi-CSI report is compressed together to obtain a compressed multi-CSI report. In an example, the transmission indication information in part of the CSI sub-reports in the multi-CSI report can be compressed respectively, or the transmission indication information in all of the CSI sub-reports in the multi-CSI report can be compressed respectively. For example, the multi-CSI report includes 4 CSI sub-reports (CSI sub-report #1, 2, 3, 4), each of which includes a rank indicator (RI), a layer indicator (LI), a channel quality indicator (CQI), and a precoding matrix indicator (PMI). The PMI of the CSI sub-reports #1 and #3 is compressed respectively, and the CQI of the CSI sub-reports #1 and #3 is compressed respectively; the others are not compressed. For another example, the multi-CSI report includes 4 CSI sub-reports (CSI sub-report #1, 2, 3, 4), each of which includes an RI, an LI, a CQI, and a PMI. The CQI and the PMI of the CSI sub-reports #1 and #3 are compressed together, and the others are not compressed.

[0062] In an example, the transmission indication information in part of the CSI sub-reports in the multi-CSI report can be compressed together, or the transmission indication information in all of the CSI sub-reports in the multi-CSI report can be compressed together. For example, the multi-CSI report includes 4 CSI sub-reports (CSI sub-report #1, 2, 3, 4), each of which includes an RI, an LI, a CQI, and a PMI. The CQI and the PMI of the CSI sub-report #1 are compressed together, and the CQI and the PMI of the CSI sub-report #3 are compressed together; the others are not compressed. For another example, the multi-CSI report includes 4 CSI sub-reports (CSI sub-report #1, 2, 3, 4), each of which includes an RI, an LI, a CQI, and a PMI. The CQI and the PMI of the CSI sub-reports #1 and #3 are compressed together; the others are not compressed.

[0063] In an example, compressing the transmission indication information in at least part of the CSI sub-reports in the multiple CSI reports can include the following cases: case one, compressing the same transmission indication information in multiple CSI sub-reports together; case two, compressing all transmission indication information in multiple CSI sub-reports together; case three, compressing all transmission indication information in each CSI sub-report together.

[0064] In an embodiment, the transmission indication information includes at least one of the following: precoding matrix indication; channel quality indication; wideband precoding matrix indication; wideband channel quality indication; subband precoding matrix indication; subband channel quality indication; rank indication; layer indication.

[0065] In an embodiment, the multiple CSI reports include compressed CSI sub-reports and uncompressed CSI sub-reports; and reporting the multiple CSI reports to the second communication device includes: sorting each CSI sub-report in the multiple CSI reports according to the order of the uncompressed CSI sub-reports and the compressed CSI sub-reports; and reporting the sorted multiple CSI reports to the second communication device.

[0066] Specifically, the multiple CSI reports include compressed CSI sub-reports and uncompressed CSI sub-reports, which include: mapping / arranging a first part, the first part including uncompressed CSI sub-reports and other transmission indication information in the compressed CSI sub-reports except for the compressed transmission indication information; and mapping / arranging a second part, the second part including the compressed transmission indication information in the compressed CSI sub-reports. In each part mapping / arranging, the mapping / arranging is performed according to the index order of the sub-configuration associated with the CSI sub-reports.

[0067] Specifically, the multiple CSI reports include compressed CSI sub-reports and uncompressed CSI sub-reports, which include: mapping / arranging a first part, the first part including uncompressed CSI sub-reports; mapping / arranging a second part, the second part including other transmission indication information in the compressed CSI sub-reports except for the compressed transmission indication information; and mapping / arranging a third part, the third part including the compressed transmission indication information in the compressed CSI sub-reports. In each part mapping / arranging, the mapping / arranging is performed according to the index order of the sub-configuration associated with the CSI sub-reports.

[0068] In an example, in case of compression of part of CSI sub-reports in a multi-CSI report, the AI / ML implemented compressed CSI sub-reports and uncompressed CSI sub-reports can be included in one multi-CSI report, and the mapping order of each CSI sub-report in the multi-CSI report can include: the compressed CSI sub-reports are transmitted after all uncompressed CSI sub-reports; or, the compressed CSI sub-reports are transmitted last, i.e., mapped after all uncompressed CSI sub-reports. In an example, the first communication device reports the uncompressed CSI sub-reports and the compressed CSI sub-reports in the same signaling to the second communication device in the same multi-CSI report.

[0069] Exemplarily, it is assumed that four CSI sub-reports are included in a multi-CSI report, and the corresponding sub-configuration indexes are 1, 2, 3 and 4. Two uncompressed CSI sub-reports (corresponding to sub-configuration indexes 2, 4) and two compressed CSI sub-reports (corresponding to sub-configuration indexes 1, 3) are included in the multi-CSI report, and the PMI in the compressed CSI sub-reports is compressed separately. In an example, the multi-CSI report is sorted as follows: the contents in CSI sub-reports 2, 4 are arranged according to the traditional multi-CSI report arrangement order; the contents in CSI sub-reports 1, 3 except for the compressed PMI are arranged according to the traditional multi-CSI report arrangement order; and the compressed PMI is arranged according to the sub-configuration index associated with CSI sub-reports 1, 3. In an example, the multi-CSI report is sorted as follows: the contents in CSI sub-reports 2, 4 and the contents in CSI sub-reports 1, 3 except for the compressed PMI are arranged according to the traditional multi-CSI report arrangement order, and the sub-report index order is 1, 2, 3, 4 is followed; and the compressed PMI is arranged according to the sub-configuration index associated with CSI sub-reports 1, 3. In an example, the multi-CSI report is sorted as follows: the contents in CSI sub-reports 2, 4 and the contents in CSI sub-reports 1, 3 except for the compressed PMI are arranged according to the traditional multi-CSI report arrangement order, and the sub-report order is 2, 4, 1, 3; and the compressed PMI is arranged according to the sub-configuration index associated with CSI sub-reports 1, 3.

[0070] For example, a multi-CSI report includes 4 CSI sub-reports, and the corresponding sub-configuration indexes are 1, 2, 3, 4. Two uncompressed CSI sub-reports (corresponding sub-configuration indexes 2, 4) and two compressed CSI sub-reports (corresponding sub-configuration indexes 1, 3). The PMI in the compressed CSI sub-reports is compressed together. In an example, the ordering of the multi-CSI report is as follows: the content in CSI sub-reports 2, 4 is arranged according to the conventional multi-CSI report arrangement order; the content in CSI sub-reports 1, 3 except for the compressed PMI is arranged according to the conventional multi-CSI report arrangement order; the compressed PMI is arranged. In an example, the ordering of the multi-CSI report is as follows: the content in CSI sub-reports 2, 4 and the content in CSI sub-reports 1, 3 except for the compressed PMI is arranged according to the conventional multi-CSI report arrangement order; the compressed PMI is arranged.

[0071] In an embodiment, the sub-configurations are associated with the first set and / or the second set; and the first set and the second set are indicated by high layer signaling or layer 1 signaling; the multi-CSI report is obtained according to one or more CSI sub-reports and at least one of the plurality of sub-configurations, including at least one of the following:

[0072] The CSI sub-reports of the second set are obtained based on the sub-configurations of the first set and an AI model or a machine learning (ML) model;

[0073] The CSI sub-reports of the second set are obtained based on the CSI sub-reports of the first set and an AI model or a ML model;

[0074] The CSI sub-reports of the second set are obtained based on the CSI sub-reports of the first set, the sub-configurations of the first set and the sub-configurations of the second set, and an AI model or a ML model;

[0075] The CSI sub-reports of the second set are obtained based on the CSI sub-reports of the first set, the sub-configurations of the first set, and an AI model or a ML model;

[0076] The CSI sub-reports of the second set are obtained based on the sub-configurations of the first set and the sub-configurations of the second set, and an AI model or a ML model;

[0077] The CSI sub-reports of the second set are obtained based on the CSI sub-reports of the first set and the sub-configurations of the second set, and an AI model or a ML model.

[0078] In an embodiment, the sub-configuration is associated with the first set and / or the second set; and the first set and the second set are indicated by high layer signaling or layer 1 signaling; the multiple CSI reports are obtained based on one or more CSI sub-reports and at least one of the multiple sub-configurations, including at least one of:

[0079] the CSI sub-reports of the second set are obtained based on the sub-configuration of the first set;

[0080] the CSI sub-reports of the second set are obtained based on the CSI sub-reports of the first set;

[0081] the CSI sub-reports of the second set are obtained based on the CSI sub-reports of the first set, the sub-configuration of the first set and the sub-configuration of the second set;

[0082] the CSI sub-reports of the second set are obtained based on the CSI sub-reports of the first set, the sub-configuration of the first set;

[0083] the CSI sub-reports of the second set are obtained based on the sub-configuration of the first set and the sub-configuration of the second set;

[0084] the CSI sub-reports of the second set are obtained based on the CSI sub-reports of the first set and the sub-configuration of the second set.

[0085] In some embodiments, the sub-configuration associated with the first set and / or the second set means that the sub-configuration includes the indication information (e.g., set index) of the first set and / or the second set. In some embodiments, the sub-configuration associated with the first set and / or the second set means that the first set and / or the second set is configured with the sub-configuration information (e.g., sub-configuration index).

[0086] In some embodiments, the sub-configuration or the CSI report configuration includes information enabling the AI / ML model.

[0087] In an example, the high layer signaling refers to RRC signaling, used for handling control information / configuration information related to high layer, such as radio resource management, mobility management, connection setup and maintenance, etc.; the layer 1 signaling refers to physical layer signaling, used for establishing and maintaining physical connection between the first communication device and the second communication device, and for transmitting control information of the physical layer. In an example, the first set refers to a subset of known sub-configurations or CSI sub-reports, which are obtained by non-AI / ML; the second set refers to a subset of CSI sub-reports that need to be predicted or generated using AI / ML. In an example, when the first set and the second set are fixed, the second communication device can indicate the first set and the second set to the first communication device through high layer signaling or layer 1 signaling. In an example, the sub-configurations of the first set can be input into a pre-created AI model or ML model, and the output is the CSI sub-reports of the second set. In an example, the CSI sub-reports of the first set can be input into a pre-created (may also be obtained or configured or indicated) AI model or ML model, and the output is the CSI sub-reports of the second set. In an example, the CSI sub-reports of the first set, the sub-configurations of the first set, and the sub-configurations of the second set can be input into a pre-created AI model or ML model, and the output is the CSI sub-reports of the second set; wherein the sub-configurations of the second set are used for assistance. In an example, the CSI sub-reports of the first set and the sub-configurations of the first set can be input into a pre-created AI model or ML model, and the output is the CSI sub-reports of the second set. In an example, the sub-configurations of the first set and the sub-configurations of the second set can be input into a pre-created AI model or ML model, and the output is the CSI sub-reports of the second set. In an example, the CSI sub-reports of the first set and the sub-configurations of the second set can be input into a pre-created AI model or ML model, and the output is the CSI sub-reports of the second set.

[0088] In an example, the process of obtaining the multi-CSI report according to one or more CSI sub-reports and at least one of the plurality of sub-configurations can further include: obtaining the CSI sub-reports of the second set based on at least one of the CSI sub-reports of the first set, the sub-configurations of the first set, and the sub-configurations of the second set, and the AI model or the ML model.

[0089] In an embodiment, the plurality of sub-configurations includes M sets of sub-configurations; and the obtaining the multi-CSI report according to one or more CSI sub-reports and at least one of the plurality of sub-configurations includes:

[0090] At the Kth time period, based on at least one of the mod(K / M)th sub-configuration of the set, the mod(K / M)th sub-report of the set, and the sub-configuration of the other set, and the AI model or the ML model, a CSI sub-report of the other set is obtained; wherein M is an integer greater than or equal to 2; K is an integer greater than or equal to 1.

[0091] In an embodiment, the sub-configuration is associated with one or more of the M sets; the multiple CSI reports are obtained according to at least one of the one or more CSI sub-reports and the multiple sub-configurations, including:

[0092] At the Kth time period, based on at least one of the mod(K / M)th sub-configuration of the set, the mod(K / M)th sub-report of the set, and the sub-configuration of the other set, and the AI model or the ML model, a CSI sub-report of the other set is obtained; wherein M is an integer greater than or equal to 2; K is an integer greater than or equal to 1.

[0093] In an embodiment, the multiple sub-configurations include the sub-configurations of the M sets; the multiple CSI reports are obtained according to at least one of the one or more CSI sub-reports and the multiple sub-configurations, including:

[0094] At the Kth time period, based on at least one of the mod(K / M)th sub-configuration of the set, the mod(K / M)th sub-report of the set, and the sub-configuration of the other set, a CSI sub-report of the other set is obtained; wherein M is an integer greater than or equal to 2; K is an integer greater than or equal to 1.

[0095] In an embodiment, the sub-configuration is associated with one or more of the M sets; the multiple CSI reports are obtained according to at least one of the one or more CSI sub-reports and the multiple sub-configurations, including:

[0096] At the Kth time period, based on at least one of the mod(K / M)th sub-configuration of the set, the mod(K / M)th sub-report of the set, and the sub-configuration of the other set, a CSI sub-report of the other set is obtained; wherein M is an integer greater than or equal to 2; K is an integer greater than or equal to 1.

[0097] In an example, the length of each time period can be predefined or indicated by high layer signaling or layer 1 signaling. In an example, the first set and the second set can vary according to a fixed rule, i.e., the second communication device transmits the CSI-RS associated with different sets in different time periods, and correspondingly, the first communication device determines the CSI sub-report of one set according to the CSI-RS associated with at least the sub-configuration of the different set in different time periods, and obtains the CSI sub-report of another set according to the CSI sub-report of the one set and / or the sub-configuration and the AI model or ML model. Exemplarily, in the first time period, the second communication device transmits at least the CSI-RS associated with the first set to the first communication device, the first communication device calculates the CSI sub-report of the first set according to the CSI-RS associated with the sub-configuration of the first set, and then obtains the CSI sub-report of the second set according to the CSI sub-report of the first set and / or the sub-configuration and the AI model or ML model; in the second time period, the second communication device transmits at least the CSI-RS associated with the second set to the first communication device, the first communication device calculates the CSI sub-report of the second set according to the CSI-RS associated with the sub-configuration of the second set, and then obtains the CSI sub-report of the first set according to the CSI sub-report of the second set and / or the sub-configuration and the AI model or ML model; in the third time period, the behavior of the first time period is repeated, and so on, so that even if the AI model or ML model is not accurate, the second communication device can obtain the CSI information (i.e., the CSI sub-report or the sub-configuration) of all sets in a larger period.

[0098] In an example, if the multiple sub-configurations include 3 sets of sub-configurations (e.g., a first set of sub-configurations, a second set of sub-configurations, and a third set of sub-configurations), in a first time period, the second communication device sends at least the CSI-RS associated with the first set to the first communication device, the first communication device calculates the CSI sub-report of the first set according to the CSI-RS associated with the sub-configurations of the first set, obtains the CSI sub-reports of the second set and the third set according to the CSI sub-report of the first set, and / or the sub-configurations through the AI model or the ML model. In a second time period, the second communication device sends at least the CSI-RS associated with the second set, the first communication device calculates the CSI sub-report of the second set according to the CSI-RS associated with the sub-configurations of the second set, obtains the CSI sub-reports of the first set and the third set according to the CSI sub-report of the second set, and / or the sub-configurations through the AI model. In a third time period, the second communication device sends at least the CSI-RS associated with the third set, the first communication device calculates the CSI sub-report of the third set according to the CSI-RS associated with the sub-configurations of the third set, obtains the CSI sub-reports of the first set and the second set according to the CSI sub-report of the third set, and / or the sub-configurations through the AI model or the ML model. In a fourth time period, the behavior in the first time period is repeated, and so on.

[0099] In an embodiment, the channel measurement method applied to the first communication device further includes: obtaining sub-configuration information based on the first type of information; and sending the sub-configuration information to the second communication device. In an example, the sub-configuration information at least includes one of the following: the number of sub-configurations, the sub-configuration and the sub-configuration identifier. In an example, the sub-configuration information can be determined by the first communication device, that is, the first communication device outputs the sub-configuration information based on the first type of information, and sends the sub-configuration information to the second communication device. In an example, the first type of information required by the first communication device can be sent by the second communication device to the first communication device, or can be obtained autonomously on the first communication device side. The sub-configuration information can be obtained by inputting the first type of information into an AI / ML model.

[0100] In an embodiment, the first type of information at least includes one of the following: physical resource block (PRB) utilization rate; number of user equipment; sub-configuration of the first set; CSI sub-report of the first set; RRC connection number; block error rate (BLER); and throughput.

[0101] In an embodiment, the channel measurement method applied to the first communication device further comprises: receiving sub-configuration information sent by the second communication device; wherein the sub-configuration information is used to indicate the activation or deactivation of the sub-configuration. In an example, the sub-configuration information can be determined by the second communication device, i.e., the second communication device outputs the sub-configuration information based on the first type of information, and sends the sub-configuration information to the first communication device to indicate the activation or deactivation of the sub-configuration to the first communication device. The sub-configuration information obtained based on the first type of information can be input into an AI / ML model to obtain the sub-configuration information.

[0102] In an embodiment, the channel measurement method applied to the first communication device further comprises: predicting the second set of sub-band information according to the first set of sub-band information and / or the sub-configuration corresponding to the first set of sub-band information. In an example, the sub-band information includes at least one of the following: sub-band CQI; sub-band PMI; sub-band frequency domain position; sub-band bandwidth; sub-band index. In an example, the first set of sub-band information can be a historical sub-band information, and the second set of sub-band information can be a future sub-band information, i.e., the future second set of sub-band information is predicted by the historical first set of sub-band information and / or the sub-configuration corresponding to the first set of sub-band information; or, the future second set of sub-band information is predicted by the historical first set of sub-band information corresponding to the sub-band information. In an example, the first set of sub-band information and the second set of sub-band information are sub-band information of the same reporting occasion, i.e., the second set of sub-band information is predicted by the first set of sub-band information and / or the sub-configuration corresponding to the first set of sub-band information.

[0103] In an embodiment, the first set and the second set are determined in one of the following ways: pre-defined; configured by higher layer signaling; indicated by layer 1 signaling. In an example, the first set and the second set can be fixed, can be periodically changed, can be changed according to a certain rule, or can be changed according to signaling indication.

[0104] In an embodiment, the sub-band corresponding to each set includes one of the following: a pre-defined specific sub-band; a periodic sub-band; an odd sub-band; an even sub-band; a sub-band indicated by a bit map. In an example, the pre-defined specific sub-band can be the first sub-band or the last sub-band; the periodic sub-band refers to taking X sub-bands every N sub-bands, where N and X are both integers greater than or equal to 1; the sub-band indicated by the bit map can be represented by a first value for the first set and a second value for the second set, where the first value can be 0 and the corresponding second value is 1, or the first value can be 1 and the corresponding second value is 0. In an example, the configuration of each set can also be an odd sub-band or an even sub-band, e.g., the first set is an odd sub-band and the second set is an even sub-band.

[0105] Similarly, the channel measurement method applied to the first communication device further comprises: predicting other set of subband information according to the first set of subband information and / or the sub-configuration corresponding to the first set of subband information. A set can contain multiple sets, and each set is associated with one or more sub-configurations and / or subband information. The association between the set and the sub-configuration and / or subband information is determined by one of the following ways: predefinition; high layer signaling configuration; layer 1 signaling indication.

[0106] In an embodiment, reporting the multiple CSI reports to the second communication device comprises: arranging the CSI sub-reports generated by the non-AI model or the non-ML model first, and then arranging the CSI sub-reports generated by the AI model or the ML model in the multiple CSI reports to obtain the ordered multiple CSI reports; and reporting the ordered multiple CSI reports to the second communication device. In an example, the first communication device reports the CSI sub-reports generated by the non-AI model or the non-ML model and the CSI sub-reports generated by the AI model or the ML model as a whole to the second communication device. For example, assuming that the multiple CSI reports include four CSI sub-reports, and the corresponding sub-configuration indexes are 1, 2, 3, and 4. Two CSI sub-reports generated by the non-AI model or the non-ML model (corresponding to sub-configuration indexes 2 and 4) and two CSI sub-reports generated by the AI model or the ML model (corresponding to sub-configuration indexes 1 and 3).

[0107] In an example, the ordering of the multiple CSI reports is as follows: when arranging the multiple CSI, each part arranges two CSI sub-reports generated by the non-AI model or the non-ML model first, and here the CSI sub-reports are arranged in the order of the indexes of the corresponding sub-configurations; and arranging the CSI sub-reports generated by the AI model or the ML model, and here the CSI sub-reports are arranged in the order of the indexes of the corresponding sub-configurations.

[0108] For example, assuming that the multiple CSI reports include four CSI sub-reports, and the corresponding sub-configuration indexes are 1, 2, 3, and 4. Two CSI sub-reports generated by the non-AI model or the non-ML model (corresponding to sub-configuration indexes 2 and 4) and two CSI sub-reports generated by the AI model or the ML model (corresponding to sub-configuration indexes 1 and 3). And the two CSI sub-reports generated by the AI model or the ML model are compressed for PMI compression.

[0109] In an example, the ordering of the multi-CSI report is as follows: the content in CSI sub-reports 2, 4 is arranged according to the legacy multi-CSI report arrangement order; the content in CSI sub-reports 1, 3 except the compressed PMI is arranged according to the legacy multi-CSI report arrangement order; and the CSI sub-reports 1, 3 compressed PMI.

[0110] In an example, the ordering of the multi-CSI report is as follows: the content in CSI sub-reports 2, 4 and the content in CSI sub-reports 1, 3 except the compressed PMI is arranged according to the legacy multi-CSI report arrangement order; and the ordering of the sub-reports is 2, 4, 1, 3; and the compressed PMI is arranged according to the sub-configuration index associated with CSI sub-reports 1, 3.

[0111] In an embodiment, reporting the multi-CSI report to the second communication device comprises: sending one or more CSI sub-reports generated by the AI model or the ML model and one or more CSI sub-reports generated by the non-AI model or the non-ML model to the second communication device respectively. In an example, the first communication device can perform CSI mapping on the one or more CSI sub-reports generated by the non-AI model or the non-ML model and the one or more CSI sub-reports generated by the AI model or the ML model respectively, i.e., the one or more CSI sub-reports generated by the non-AI model or the non-ML model is regarded as a separate multi-CSI report, and the one or more CSI sub-reports generated by the AI model or the ML model is regarded as a separate multi-CSI report, i.e., a total of two separate multi-CSI reports can be reported to the second communication device.

[0112] In an embodiment, the multi-CSI report comprises at least a CSI sub-report generated by the non-AI model or the non-ML model. The CSI sub-report comprising at least one sub-configuration in the multi-CSI report is generated by the non-AI model or the non-ML model.

[0113] In an embodiment, the high-layer configuration signaling further comprises: first configuration information; the first configuration information comprises: configuration information of a first time period and configuration information of a second time period; and the multi-CSI report is obtained according to one or more CSI sub-reports and at least one of a plurality of sub-configurations, comprising:

[0114] At least one first multi-CSI report in the first time period is obtained according to the configuration information of the first time period and the sub-configuration;

[0115] According to at least one of the first multiple CSI reports in the first time period and the sub-configuration, and the AI model or the ML model, at least one second multiple CSI report in a second time period is obtained. In an example, the first configuration information refers to relevant information of the AI model or the ML model associated with CSI-RS measurement or CSI reporting. The sum of the first time period and the second time period is a reporting period. The unit of the reporting period can be one of the following: millisecond (ms), slot, frame, or number. In an example, the first multiple CSI reports refer to multiple CSI reports obtained in the first time period; and the second multiple CSI reports refer to multiple CSI reports obtained in the second time period. The first communication device can obtain one or more first multiple CSI reports in the first time period according to the configuration information and the sub-configuration in the first time period, and then input the one or more first multiple CSI sub-reports in the first time period and at least one of the sub-configuration to the pre-created AI model or the ML model to obtain one or more second multiple CSI reports in the second time period.

[0116] In an embodiment, reporting the multiple CSI reports to the second communication device comprises: reporting at least one second multiple CSI report to the second communication device at a partial reporting occasion in the second time period. The first communication device can report one or more second multiple CSI reports predicted by the AI model or the ML model to the second communication device at the partial reporting occasion in the second time period, which can reduce the signaling reception of the second communication device.

[0117] In an embodiment, the determination manner of the reporting occasion comprises one of the following:

[0118] at a first reporting occasion in the second time period;

[0119] the first M second multiple CSI reports of the one or more second multiple CSI reports are reported at a reporting occasion in the corresponding second time period, and the remaining second multiple CSI reports are reported at an M+1th reporting occasion in the second time period;

[0120] In an example, every X reporting occasions in the second time period, X predicted second multiple CSI reports are reported in one reporting occasion, i.e., X predicted second multiple CSI reports are reported periodically, of course, the last group of second multiple CSI reports can be less than X.

[0121] In an embodiment, the high layer configuration signaling further comprises: first configuration information; the first configuration information comprises: configuration information of the first time period and the second time period; the multiple CSI reports are obtained according to at least one of the following: one or more CSI sub-reports, and multiple sub-configurations, comprising at least one of the following:

[0122] The CSI sub-reports of the second set of the second time period are obtained based on the first set of the CSI sub-reports of the first time period and the AI model or the ML model;

[0123] The CSI sub-reports of the second set of the second time period are obtained based on the first set of the CSI sub-reports of the first time period and the AI model or the ML model;

[0124] The CSI sub-reports of the second set of the second time period are obtained based on the first set of the CSI sub-reports of the first time period, the first set of the sub-configurations of the first time period and the second set of the sub-configurations of the second time period, and the AI model or the ML model;

[0125] The CSI sub-reports of the second set of the second time period are obtained based on the first set of the sub-configurations of the first time period and the second set of the sub-configurations of the second time period, and the AI model or the ML model;

[0126] The CSI sub-reports of the second set of the second time period are obtained based on the first set of the sub-reports of the first time period and the second set of the sub-configurations of the second time period, and the AI model or the ML model.

[0127] In an example, the CSI sub-reports of the second set of the second time period are obtained based on at least one of the following: the first set of the sub-configurations of the first time period; the second set of the sub-configurations of the second time period; the first set of the CSI sub-reports of the first time period; the AI model or the ML model.

[0128] In an example, the CSI sub-reports can be measured by combining the time domain prediction and the CSI sub-report prediction. In an example, the first set of sub-configurations of the first time period can be input into a pre-created AI model or ML model, and the output is the second set of CSI sub-reports of the second time period. In an example, the first set of CSI sub-reports of the first time period can be input into a pre-created AI model or ML model, and the output is the second set of CSI sub-reports of the second time period. In an example, the first set of CSI sub-reports of the first time period, the first set of sub-configurations of the first time period, and the second set of sub-configurations of the second time period can be input into a pre-created AI model or ML model, and the output is the second set of CSI sub-reports of the second time period. In an example, the first set of CSI sub-reports of the first time period and the first set of sub-configurations of the first time period can be input into a pre-created AI model or ML model, and the output is the second set of CSI sub-reports of the second time period. In an example, the first set of sub-configurations of the first time period and the second set of sub-configurations of the second time period can be input into a pre-created AI model or ML model, and the output is the second set of CSI sub-reports of the second time period. In an example, the first set of CSI sub-reports of the first time period and the second set of sub-configurations of the second time period can be input into a pre-created AI model or ML model, and the output is the second set of CSI sub-reports of the second time period.

[0129] In an embodiment, the high-layer configuration signaling further comprises: first configuration information; the first configuration information comprises: configuration information of the first time period and the second time period; and the multiple CSI reports are obtained according to at least one of the following: one or more CSI sub-reports, and multiple sub-configurations, comprising:

[0130] The second set of sub-band information of the second time period is obtained according to the first set of sub-band information of the first time period and / or the sub-configuration corresponding to the first set of sub-band information of the first time period. In an example, the frequency domain prediction and the time domain prediction can be combined, that is, the first communication device can obtain the second set of sub-band information of the second time period according to the first set of sub-band information of the first time period, or can obtain the second set of sub-band information of the second time period according to the sub-configuration corresponding to the first set of sub-band information of the first time period, or can obtain the second set of sub-band information of the second time period according to the first set of sub-band information of the first time period and the sub-configuration corresponding to the first set of sub-band information of the first time period.

[0131] In an embodiment, the multiple CSI reports are obtained according to at least one of the following: one or more CSI sub-reports, and multiple sub-configurations, comprising:

[0132] The subband information of the second set of time periods is obtained according to at least one of the following: the subband information of the first set of time periods; the subband information of the first set of time periods corresponding to the sub-configuration; the subband information of the second set; the AI model or the ML model.

[0133] In an embodiment, the first configuration information comprises configuration information of the first time period and the second time period; and the configuration information of the first time period and the second time period comprises at least one of the following: a reporting period, a first offset value, a second offset value, a first duration, a second duration, a first number, a second number, and a third number.

[0134] The first offset value represents an offset value between the start position of the first time period and a reference point; the second offset value represents an offset value between the start position of the second time period and the reference point; the first duration represents a duration of the first time period; the second duration represents a duration of the second time period; the first number represents a number of CSI reporting occasions in the first time period; the second number represents a number of CSI reporting occasions in the second time period; and the third number represents a number of CSI reporting occasions in one reporting period. In an example, the reference point is related to at least one of the following: a system frame number (SFN) and signaling. In an example, the reference point can be the first slot or symbol of SFN=0; or a slot or symbol in which signaling is received; or a slot or symbol after a slot or symbol in which signaling is received. In an example, the first number and the third number can be configured, or the second number and the third number can be configured; if the first number and the third number are configured, the second number can be obtained according to a difference between the third number and the first number; if the second number and the third number are configured, the first number can be obtained according to a difference between the third number and the second number. The third number is the sum of the first number and the second number. In an example, the reporting period and the first duration can be configured, or the reporting period and the second duration can be configured; if the reporting period and the first duration are configured, the second duration can be obtained according to a difference between the reporting period and the first duration; if the reporting period and the second duration are configured, the first duration can be obtained according to a difference between the reporting period and the second duration. The reporting period is the sum of the first duration and the second duration.

[0135] In an embodiment, the channel measurement method applied to the first communication device further comprises: configuring multiple reporting resources in the CSI reporting configuration corresponding to the multiple CSI reports; and selecting a corresponding reporting resource according to the reporting situation of the multiple CSI reports. In an example, if multiple CSI reports are reported at one reporting occasion, there can be a situation where the reporting resources cannot meet the requirements. For this situation, multiple reporting resources can be configured in the CSI reporting configuration, and different reporting resources can be selected according to the reporting situation of the multiple CSI reports. Exemplarily, two PUCCH resources can be configured in the CSI reporting configuration, and different PUCCH resources can be selected according to the reporting situation. For example, the compressed multiple CSI reports can use the PUCCH resource with fewer resources, and the uncompressed multiple CSI reports can use the PUCCH resource with more resources.

[0136] In an embodiment, reporting the multiple CSI reports to the second communication device comprises:

[0137] reporting the multiple CSI reports to the second communication device at a pre-configured monitoring position; wherein the monitoring position is part or all of the set of reporting occasions for reporting the multiple CSI reports;

[0138] wherein the multiple CSI reports comprise second multiple CSI reports generated based on an AI model or an ML model, and first multiple CSI reports generated based on a non-AI model or a non-ML model, the first multiple CSI reports and the second multiple CSI reports corresponding to the same sub-configuration and / or sub-band and / or measurement occasion / reporting occasion. In an example, the first multiple CSI reports refer to the multiple CSI reports generated based on the non-AI model or the non-ML model; the second multiple CSI reports refer to the multiple CSI reports generated based on the AI model or the ML model. In an example, the first multiple CSI reports and the second multiple CSI reports can correspond to at least one of the same sub-configuration, sub-band, measurement occasion and reporting occasion, i.e., at least one of the sub-configuration, sub-band, measurement occasion and reporting occasion between the first multiple CSI reports and the second multiple CSI reports is the same. By comparing and evaluating the difference between the first multiple CSI reports and the second multiple CSI reports, it can be known whether the AI / ML model prediction is accurate, and whether the AI / ML prediction needs to be adjusted or stopped.

[0139] In an embodiment, the monitoring position comprises one of the following:

[0140] an Xth CSI reporting occasion in the set of reporting occasions for the multiple CSI reports; wherein X is determined in one of the following ways: pre-defined; higher layer configured; indicated by layer 1 signaling;

[0141] a last CSI reporting occasion in the set of reporting occasions for the multiple CSI reporting;

[0142] a first CSI reporting occasion and a last CSI reporting occasion in the set of reporting occasions for the multiple CSI reporting;

[0143] Y CSI reporting occasions in the set of reporting occasions for the multiple CSI reporting; wherein the Y is determined by at least one of the following: a period 2, an interval time, a value 4, and a predefined. In an example, the monitoring position can be a part or all of the positions of the reporting occasions for reporting the multiple CSI reporting. In an example, the set of reporting occasions for the multiple CSI reporting can be a part of the reporting occasions in the second time period, and correspondingly, the monitoring position can be the Xth CSI reporting occasion in the part of the reporting occasions in the second time period, or the first CSI reporting occasion and the last CSI reporting occasion in the part of the reporting occasions in the second time period, or the last CSI reporting occasion in the part of the reporting occasions in the second time period, or the Y CSI reporting occasions in the part of the reporting occasions in the second time period.

[0144] In an embodiment, FIG. 2 is a flowchart of another channel measurement method provided by the embodiments of the present application. The present embodiment is applied to the case where multiple CSI sub-reports are reported together between the base station and the terminal. The present embodiment can be executed by the second communication device. As shown in FIG. 2, the present embodiment includes S210-S220.

[0145] S210, sending high-layer configuration signaling to the first communication device; the high-layer configuration signaling includes multiple sub-configurations.

[0146] S220, receiving a first multiple CSI report reported by the first communication device; wherein the first multiple CSI report is obtained according to the sub-configurations.

[0147] In an example, the first multiple CSI report can include a multiple CSI report generated by the first communication device through an AI model or an ML model. The second communication device sends the high-layer configuration signaling including multiple sub-configurations to the first communication device, so that the first communication device obtains one or more CSI sub-reports based on the sub-configurations, and obtains the first multiple CSI report according to the one or more CSI sub-reports and at least one of the multiple sub-configurations, and reports the first multiple CSI report to the second communication device, thereby achieving the effect of reporting multiple CSI sub-reports uniformly, reducing the workload of CSI reporting and reducing the reporting delay, so that the second communication device can perform antenna port switching or power adjustment more quickly.

[0148] In an example, the first plurality of CSI reports is a plurality of CSI reports generated by the first communication device without using the AI model or the ML model. The second plurality of CSI reports is determined / obtained by the second communication device according to the first plurality of CSI reports and / or the sub-configuration.

[0149] In an embodiment, the method for channel measurement applied to the second communication device further comprises: obtaining the second plurality of CSI reports according to the sub-configuration and / or the first plurality of CSI reports. The second plurality of CSI reports is used to represent a plurality of CSI reports generated by the second communication device using the AI model or the ML model. In an embodiment, the second communication device can use the AI model or the ML model to measure the second plurality of CSI reports based on the sub-configuration and the first plurality of CSI reports.

[0150] In an embodiment, the sub-configuration is associated with the first set and / or the second set; and the first set and the second set are indicated by high layer signaling or layer 1 signaling; and obtaining the second plurality of CSI reports according to the sub-configuration and / or the first plurality of CSI reports comprises at least one of:

[0151] obtaining the CSI sub-reports of the second set based on the sub-configuration of the first set and the AI model or the ML model;

[0152] obtaining the CSI sub-reports of the second set based on the CSI sub-reports of the first set and the AI model or the ML model;

[0153] obtaining the CSI sub-reports of the second set based on the CSI sub-reports of the first set, the sub-configuration of the first set and the sub-configuration of the second set, and the AI model or the ML model;

[0154] obtaining the CSI sub-reports of the second set based on the sub-configuration of the first set and the sub-configuration of the second set, and the AI model or the ML model;

[0155] obtaining the CSI sub-reports of the second set based on the sub-reports of the first set and the sub-configuration of the second set, and the AI model or the ML model.

[0156] In an embodiment, the plurality of sub-configurations comprises M sets of sub-configurations; and obtaining the second plurality of CSI reports according to the sub-configuration and / or the first plurality of CSI reports comprises:

[0157] obtaining the CSI sub-reports of the other sets based on at least one of the sub-configuration of the mod(K / M)th set, the sub-reports of the mod(K / M)th set and the sub-configuration of the other sets, and the AI model or the ML model in the Kth time period; wherein M is an integer greater than or equal to 2; and K is an integer greater than or equal to 1. In an example, the sub-reports of the mod(K / M)th set are the first plurality of CSI reports; and the CSI sub-reports of the other sets are the second plurality of CSI reports.

[0158] In an embodiment, the channel measurement method applied to the first communication device further includes: obtaining sub-configuration information based on the first type of information; and indicating activation or deactivation of the sub-configuration to the first communication device according to the sub-configuration information.

[0159] In an embodiment, the channel measurement method applied to the first communication device further includes: receiving sub-configuration information sent by the first communication device; wherein the sub-configuration information is obtained by the first communication device based on the first type of information.

[0160] In an embodiment, the channel measurement method applied to the first communication device further includes: sending the first type of information to the first communication device.

[0161] In an embodiment, the channel measurement method applied to the first communication device further includes: predicting second set of sub-band information according to the first set of sub-band information and / or the sub-configuration corresponding to the first set of sub-band information. In an example, the first set of sub-band information is the first multiple CSI reports; and the second set of sub-band information is the second multiple CSI reports.

[0162] In an embodiment, the high-level configuration signaling further includes: first configuration information; the first configuration information includes: configuration information of the first time period and configuration information of the second time period; and obtaining the second multiple CSI reports according to the sub-configuration and the first multiple CSI reports includes:

[0163] obtaining at least one second multiple CSI report of the second time period according to at least one first multiple CSI report of the first time period and the AI model or the ML model.

[0164] In an embodiment, the high-level configuration signaling further includes: first configuration information; the first configuration information includes: configuration information of the first time period and configuration information of the second time period; and obtaining the second multiple CSI reports according to the sub-configuration and the first multiple CSI reports includes:

[0165] obtaining a second set of CSI sub-reports of the second time period according to a first set of sub-configurations of the first time period and the AI model or the ML model;

[0166] obtaining a second set of CSI sub-reports of the second time period based on a first set of CSI sub-reports of the first time period and the AI model or the ML model;

[0167] obtaining a second set of CSI sub-reports of the second time period based on a first set of CSI sub-reports of the first time period, a first set of sub-configurations of the first time period and a second set of sub-configurations of the second time period, and the AI model or the ML model;

[0168] obtain the CSI sub-reports of the second set of second time periods based on the sub-configuration of the first set of first time periods and the sub-configuration of the second set of second time periods, and the AI model or the ML model;

[0169] obtain the CSI sub-reports of the second set of second time periods based on the sub-configuration of the first set of first time periods and the sub-configuration of the second set of second time periods, and the AI model or the ML model.

[0170] In an embodiment, the high-layer configuration signaling further includes: first configuration information; the first configuration information includes: configuration information of the first time period and the second time period; and the second multiple CSI reports are obtained based on the sub-configuration and the first multiple CSI reports, including:

[0171] The sub-band information of the second set of second time periods is predicted based on the sub-band information of the first set of first time periods and / or the sub-configuration corresponding to the sub-band information of the first set of first time periods.

[0172] It should be noted that the explanations of the high-layer configuration signaling, the first multiple CSI reports, the second multiple CSI reports, the sub-configuration, the sub-configuration information, the sub-band information, and the like in the channel measurement method applied to the second communication device are the same as the descriptions of the corresponding parameters in the embodiments of the channel measurement method applied to the first communication device, which will not be repeated here.

[0173] In the following embodiments, the first communication device is taken as the UE side, and the second communication device is taken as the base station side, and the implementation process of channel measurement is described.

[0174] Embodiment One

[0175] In the related art, the AI-based CSI compression mainly targets the PMI of the Type2 codebook, that is, the CSI compression in the related art only compresses the PMI. Moreover, in the related art, the PMI result in one CSI report is compressed.

[0176] In the CSI compression embodiments of the present application, for the compression of multi-CSI (Multi-CSI) reports, one implementation manner is to compress the PMI in part or all CSI sub-reports (CSI sub-report) in the Multi-CSI report, and / or CQI, and / or RI, and / or LI, and the like.

[0177] There is a certain association relationship between multiple sub-configurations configured in one CSI report configuration (CSI-reportConfig), especially when the port subset indicator (Port Subset Indicator) or power offset (power Offset) is configured, the sub-configurations are associated. Therefore, there is also a certain association relationship between sub-reports. Using this association relationship and AI or deep learning method, the PMI of multiple CSI sub-reports (CSI sub-report) can be compressed, thereby reducing the bit number of multi-CSI (Multi-CSI) reporting.

[0178] FIG. 3 is a schematic diagram of generation and reception of a multi-CSI report according to an embodiment of the present application. As shown in FIG. 3, at the UE side, the generation and reporting process of the multi-CSI report includes: CSI measurement, multi-CSI (multi-CSI) estimation, compressed multi-CSI report, and reporting of the multi-CSI report; at the base station side, the receiving and decompression process of the multi-CSI report includes: receiving the multi-CSI report and decompressing the multi-CSI report.

[0179] In some embodiments, it is necessary to inform the base station of the size of the compressed multi-CSI (Multi-CSI), that is, the Multi-CSI includes the information of the compressed multi-CSI. The compressed multi-CSI information includes at least one of the following: compressed content (such as PMI, CQI), compressed data size, and compression algorithm. According to the compressed multi-CSI information, the base station can decompress the multi-CSI report.

[0180] In some embodiments, only part of the CSI sub-reports are CSI compressed, therefore, one CSI report may include CSI sub-reports compressed by AI or deep learning and CSI sub-reports not compressed by CSI.

[0181] At this time, it is necessary to determine the mapping order of each content in the CSI report. The possible mapping order includes at least one of the following ways:

[0182] First, the CSI compressed report content is transmitted after the corresponding report content of all CSI uncompressed sub-reports;

[0183] The report content is the corresponding report parameter when the CSI compression is only performed on part of the report parameters. For example, the CSI compression is only performed on the PMI, and the report content is the PMI. The CSI-compressed PMI is mapped after the PMI of other sub-reports. Other report contents (for example, CQI, RI, etc.) are mapped in the order of the sub-configuration corresponding sub-configuration index. The mapping order between different report contents is according to the mapping order when only the uncompressed CSI sub-reports are included in the multi-CSI report. For example, the mapping order of the conventional multi-CSI report is RI, LI, and PMI, and each part is mapped in the order of the sub-configuration corresponding sub-configuration index. When the multi-CSI report (including CSI sub-reports #1, 2, 3, and 4) includes an uncompressed CSI sub-report (for example, CSI sub-report #2), the mapping order of the multi-CSI report is RI, LI, and PMI, and the mapping order of the PMI part is CSI sub-reports #1, 3, 4, and 2. The mapping order of other parts (for example, RI and LI) is still mapped in the order of the sub-configuration corresponding sub-configuration index (that is, #1, 2, 3, and 4).

[0184] Secondly, the CSI-compressed report content is mapped last, that is, after all the report contents of the sub-reports without CSI compression.

[0185] For example, the CSI compression is only performed on the PMI, and the report content is the PMI. The CSI-compressed PMI is mapped after all the report parameters of other sub-reports.

[0186] In some embodiments, the CSI compression needs to be monitored, and at the monitoring position, the UE needs to report the CSI-compressed multi-CSI report and the uncompressed multi-CSI report. The compressed multi-CSI report is obtained by compressing the uncompressed multi-CSI report. The base station determines whether the compression meets the requirements or whether the CSI compression needs to be stopped according to the compressed multi-CSI report and the uncompressed multi-CSI report.

[0187] In some embodiments, the CSI compression needs to be monitored, and at the monitoring position, the UE needs to report the correlation monitoring parameter between the CSI-compressed multi-CSI report and the uncompressed multi-CSI report. The correlation monitoring parameter is used to indicate the correlation or correlation coefficient between the compressed multi-CSI and the uncompressed CSI. The base station determines whether the compression meets the requirements or whether the CSI compression needs to be stopped according to the correlation monitoring parameter.

[0188] The positions of the above monitoring and the like are described in other embodiments.

[0189] The pre-compression multiple CSI reports can include CSI sub-reports generated or predicted according to methods in other embodiments.

[0190] Embodiment Two

[0191] In embodiment two, assuming the first set is Set A, the second set is Set B, the third set is Set C, the first time period is Time Period 1, and the second time period is Time Period 2, the prediction process of sub-configuration or CSI sub-report is described.

[0192] Case One: Based on the sub-configuration and / or CSI sub-report of Set A, the CSI sub-report of Set B is predicted. It should be noted that " / " can represent and / or.

[0193] In some embodiments, the behavior of predicting Set B based on the sub-configuration and / or CSI sub-report of Set A through an AI model or an ML model is performed at the UE side, and then the UE still needs to report the CSI sub-report of Set B to the base station. However, the base station can not need to send the CSI-RS associated with the Set B sub-configuration.

[0194] In some embodiments, the behavior of predicting Set B based on the sub-configuration and / or CSI sub-report of Set A through an AI model or an ML model is performed at the gNB side, and then the gNB can not send the CSI-RS associated with the Set B sub-configuration, and the UE does not need to feed back the sub-report of Set B.

[0195] It should be noted that in some embodiments, normal CSI measurement of Set B still needs to be performed at intervals, that is, including the gNB sending the CSI-RS associated with the Set B sub-configuration, the UE performing CSI measurement and feedback. At the same time, the AI / deep learning related sub-report of Set B also needs to be obtained, so as to monitor / ensure that the AI / deep learning related sub-report of Set B is not much different from the CSI sub-report generated by actual measurement. If the difference is large, the transmission of the AI / deep learning related sub-report of Set B can be stopped.

[0196] The specific monitoring behavior time, period or pattern is similar to that designed in the time prediction embodiment.

[0197] Based on the sub-configuration / CSI sub-report of Set A, the CSI sub-report of Set B is predicted, which can include the following three schemes:

[0198] Scheme 1: Set A and Set B are fixed.

[0199] The base station indicates Set A and Set B to the UE. The indication can be high layer signaling or layer 1 signaling.

[0200] The input parameters of the AI / ML model are the sub-configuration and / or CSI sub-report of Set A and / or the sub-configuration of Set B, and the output is the CSI sub-report of Set B.

[0201] Alternatively, the input parameters of the AI / ML model are the sub-configuration or CSI sub-report of UE Set A and the sub-configuration of Set B, and the output is the CSI sub-report of Set B. The Set B sub-configuration is used for assistance.

[0202] During the prediction time, the base station can not send the CSI-RS associated with the Set B sub-configuration. The UE / gNB can calculate the CSI sub-report of Set A according to the CSI-RS associated with the sub-configuration of Set A, and obtain the CSI sub-report of Set B through the AI model according to at least the CSI sub-report of Set A.

[0203] FIG. 4 is a schematic diagram of a CSI sub-report prediction implementation according to an embodiment of the present application. As shown in FIG. 4, in the related art, the CSI sub-reports of Set A and Set B need to be reported, but in the present scheme, the CSI sub-report of Set A can be reported, and the base station predicts the CSI sub-report of Set B based on the CSI sub-report of Set A.

[0204] Scheme 2: Fixed change of Set A and Set B

[0205] Different sets are associated with different time periods, and different time periods are used as input information of the AI model or the ML model. Alternatively, different sets are associated with different time periods, and the UE uses a non-AI model or a non-ML model to obtain information of different sets in different time periods.

[0206] For example: in time period 1, predict Set B’s CSI sub-report based on Set A’s sub-configuration and / or CSI sub-report and / or Set B’s sub-configuration.

[0207] In time period 2, predict Set A’s CSI sub-report based on Set B’s sub-configuration and / or CSI sub-report and / or Set A’s sub-configuration.

[0208] Repeat the prediction process of time period 1 and time period 2 in this order. The advantage of this scheme: even if the AI model is not accurate, the base station can obtain all the CSI information of the Set in a larger cycle.

[0209] In an example, the length of the time period is configured by high layer signaling or indicated by L1 signaling.

[0210] For example, RRC signaling configures Set A and Set B, and configures the time period duration / period as X (ms / slot / CSI reporting number / frame). In the first time period, the base station sends the CSI-RS associated with Set A, the UE calculates the CSI sub-report of Set A according to the sub-configuration associated with Set A, and obtains the CSI sub-report of Set B through the AI model according to at least the CSI sub-report of Set A. In the second time period, the base station sends the CSI-RS associated with Set B, the UE calculates the CSI sub-report of Set B according to the sub-configuration associated with Set B, and obtains the CSI sub-report of Set A through the AI model according to at least the CSI sub-report of Set B. In the third time period, repeat the behavior in the first time period, and so on.

[0211] For example, RRC signaling configures Set A, Set B and Set C, and configures time period duration / periodicity as X (ms / slot / CSI reporting number / frame). Then in the first time period, the base station sends the CSI-RS associated with Set A, the UE calculates the CSI sub-report of Set A according to the CSI-RS associated with the sub-configuration of Set A, and obtains the CSI sub-report of Set B and Set C through the AI model according to at least the CSI sub-report of Set A. In the second time period, the base station sends the CSI-RS associated with Set B, the UE calculates the CSI sub-report of Set B according to the CSI-RS associated with the sub-configuration of Set B, and obtains the CSI sub-report of Set A and Set C through the AI model according to at least the CSI sub-report of Set B. In the second time period, the base station sends the CSI-RS associated with Set C, the UE calculates the CSI sub-report of Set C according to the CSI-RS associated with the sub-configuration of Set C, and obtains the CSI sub-report of Set A and Set B through the AI model according to at least the CSI sub-report of Set C. In the fourth time period, the behavior in the first time period is repeated, and so on.

[0212] The scheme can also be used for a larger number of sets, for example, including M sets, each set is associated with one or more sub-configurations, then in the Kth time period, based on at least one of the sub-configuration of the mod(K / M)th set, the sub-report of the mod(K / M)th set and the sub-configuration of other sets, and the AI model or the ML model, the CSI sub-report of other sets is obtained; wherein M is an integer greater than or equal to 2; K is an integer greater than or equal to 1. For example, M=4, then in the first time period, based on at least one of the sub-configuration of the first set, the sub-report of the first set and the sub-configuration of other sets, and the AI model or the ML model, the CSI sub-report of other sets is obtained;...; in the sixth time period, based on at least one of the sub-configuration of the second set, the sub-report of the mod(K / M)=2 set and the sub-configuration of other sets, and the AI model or the ML model, the CSI sub-report of other sets is obtained.

[0213] Scheme 3: The determination of Set is indicated by layer 2 (L2) and / or layer 1 (L1) signaling.

[0214] Layer 1 or layer 2 signaling indicates which sub-configurations are input to the AI model, or indicates which sub-configurations need to be predicted.

[0215] The process of performance monitoring is basically the same as in Embodiment Four, and is not repeated here.

[0216] Case two: based on the first type of information, output sub-configuration information.

[0217] The first type of information includes at least one of the following: PRB utilization rate, number of user equipment, sub-configuration configuration of Set A, CSI sub-report of Set A, RRC connection number, BLER, and throughput.

[0218] Sub-configuration information includes at least one of the following: sub-configuration number, sub-configuration, and sub-configuration ID.

[0219] The first type: at the base station side, based on the first type of information, the sub-configuration is obtained by AI model or ML model.

[0220] According to the service information of the UE, the UE feeds back the information of the CSI, the content of the UE feedback, and the optimal sub-configuration obtained by using AI / ML, the base station can only activate the optimal sub-configuration, reduce the measurement reporting quantity of the UE, and realize efficiency improvement. It can be considered based on the bilateral model.

[0221] The base station outputs sub-configuration information based on the first type of information, and according to the output sub-configuration information, indicates the activation and deactivation of the sub-configuration to the UE.

[0222] For example, the AI model at the base station side outputs the number of activated sub-configurations or the expected sub-configuration configuration or the expected sub-configuration ID according to the PRB utilization rate. The base station sends signaling to the UE to trigger / activate the corresponding sub-configuration according to the output sub-configuration information.

[0223] For example, the base station side AI model outputs the number of activated sub-configurations or the desired sub-configuration configuration or the desired sub-configuration ID according to the RRC connection number. The base station sends signaling to the UE to trigger / activate the corresponding sub-configuration according to the output sub-configuration information.

[0224] Second: On the UE side, the sub-configuration is obtained based on the first type of information through an AI model or an ML model.

[0225] The UE outputs sub-configuration information based on the first type of information. The UE sends the sub-configuration information to the base station. Unlike the first scheme, the sub-configuration is obtained based on the first type of information through an AI model or an ML model on the UE side. When the first type of information is a CSI sub-report or a CSI report, the UE reporting signaling can be reduced.

[0226] In some embodiments, the first type of information required by the UE is sent by the base station to the UE.

[0227] For example, the first type of information is the number of cell connection users, or the PRB utilization rate, or the RRC connection number. The base station sends the first type of information to the UE through signaling. The UE outputs sub-configuration information based on the first type of information. The UE sends the sub-configuration information to the base station through signaling.

[0228] In some embodiments, the first type of information required by the UE can be directly obtained on the UE side.

[0229] For example, the first type of information is Set A sub-configuration configuration, Set A CSI sub-report. The Set A sub-configuration configuration is configured by the base station to the UE, and the Set A CSI sub-report is calculated on the UE side. The UE outputs the desired sub-configuration ID / configuration through an AI model according to the first type of information. The UE sends the desired sub-configuration ID / configuration to the base station.

[0230] The UE can send the desired sub-configuration ID / configuration to the base station through at least one of the following: MAC CE; CSI report; or, UE auxiliary information.

[0231] The CSI report type is a CSI report type dedicated to reporting relevant information.

[0232] Embodiment Three

[0233] In this embodiment, similar to the sub-configuration prediction process described above. FIG. 5 is a schematic diagram of an implementation of frequency domain prediction provided by the present application. As shown in FIG. 5, the sub-band information of set A (e.g., diagonal fill) can be outputted by an AI model or an ML model based on the sub-band information of set A (e.g., diagonal fill), and the prediction result of set B (e.g., vertical fill) sub-band. The sub-band information includes at least one of the following: sub-band CQI, sub-band PMI, sub-band number, sub-band frequency domain position; and sub-band index.

[0234] Similarly, the frequency domain prediction can also be combined with the sub-configuration prediction and / or the time domain prediction.

[0235] For example, based on the historical sub-band information of set A, the future sub-band information of set B is outputted.

[0236] For example, based on the historical part of the sub-configuration information of the sub-band of set A, the future full sub-configuration information of set B is outputted.

[0237] In the frequency domain prediction, the determination of set A and set B (or more sets) can also be predefined or configured by high layer signaling or indicated by layer 1 signaling. Each set contains one or more sub-bands.

[0238] Similar to the method in the sub-configuration prediction, set A and set B can be fixed, periodically changed, or changed according to a certain rule, or changed according to signaling indication.

[0239] Set A and set B (or more sets) can not all be configured or indicated, and can be derived through the configuration of other sets (set).

[0240] The sub-band corresponding to each set includes at least one of the following:

[0241] Predefined specific sub-band, i.e., the configuration of set can be a predefined specific sub-band (such as the first or last sub-band);

[0242] Periodic sub-band, i.e., the configuration of set can be a periodic sub-band (such as taking X sub-bands every N sub-bands);

[0243] Odd or even subband, i.e. the configuration of Set can be odd or even subband. (e.g. Set A is odd subband, Set B is even subband)

[0244] Bitmap indicated subband, i.e. the configuration of Set can be bitmap indicated. (e.g. ‘0’ represents Set A, ‘1’ represents Set B)

[0245] For example, frequency domain prediction and time domain prediction can only be applied in certain sub-configuration. That is, frequency domain prediction or time domain prediction is used in certain sub-configuration, while frequency domain prediction or time domain prediction is not used in another sub-configuration. In some embodiments, a set can be associated with one or more sub-configuration, and the scheme is applied on the associated sub-configuration. In some embodiments, there can be a containing relationship between sets, such as Set B containing Set A. Or Set A contains Set B.

[0246] Or, frequency domain prediction is used in certain sub-configuration, while time domain prediction is not used in another sub-configuration.

[0247] Embodiment four

[0248] In the time domain prediction in the related art, there is content about time domain prediction in AI TR, including predicting future CSI according to historical CSI, predicting future beam according to historical beam. Then, at the UE side, future CSI can be predicted according to historical CSI, and at the base station side, it is judged whether the performance metric meets the condition / requirement.

[0249] In the embodiments of the present application, two schemes of time domain prediction are included:

[0250] Scheme 1: predicting the result of set A CSI sub-report in the future (N time points) based on the result of set A CSI sub-report in the history (M time points).

[0251] In scheme 1, the input of the AI model / ML model is the historical set A CSI sub-report, and the output is the predicted set A CSI sub-report in the future. That is, the input is set A CSI sub-report in M time points, and the output is set A CSI sub-report in N time points.

[0252] Scheme 2: Predict the result of CSI sub-report of set A (N time points) in the future based on the result of CSI sub-report of set B (M time points) in the history. Where set B is not equal to set A. For example, set B is a subset of set A.

[0253] In scheme 2, the input of AI / ML model is CSI sub-report of set B in the history, and the output is CSI sub-report of set A in the future. That is, the input is CSI sub-report of set B in M time points, and the output is CSI sub-report of set A in N time points. Where set B is not equal to set A.

[0254] In an example, M, N can be predefined or indicated by high layer signaling or layer 1 signaling.

[0255] Set A can be part of Multi-CSI sub-configuration related sub-report, if the prediction operation is performed at the UE side, that is, the Multi-CSI report contains both the sub-report generated by the AI / ML model and the sub-report generated by the traditional method. How to map each CSI sub-report in the multi-CSI report is a problem to be solved.

[0256] In some embodiments, still in multi-CSI, each sub-report parameter is still arranged in the order of sub-configuration index.

[0257] In some embodiments, in a CSI-ReportConfig related multi-CSI, CSI sub-reports generated by non-AI / non-ML models (such as non-deep learning) can be arranged first, and then CSI sub-reports generated by AI / ML models (such as deep learning) can be arranged.

[0258] In some embodiments, for each CSI parameter (e.g., RI, LI, CQI, PMI, etc.), the priority of the CSI parameter generated by the non-AI / non-ML model (such as non-deep learning) is higher than the CSI parameter generated by the AI model / ML model (such as deep learning). In some embodiments, for each CSI parameter (e.g., RI, LI, CQI, PMI, etc.), the CSI parameter generated by the non-AI / non-ML model (such as non-deep learning) is arranged / mapped first, and then the CSI parameter generated by the AI model / ML model (such as deep learning) is arranged / mapped.

[0259] In some embodiments, the priority of the CSI sub-report generated by the non-AI / non-ML model is higher than the CSI sub-report generated by the AI model / ML model.

[0260] In some embodiments, the CSI sub-reports generated by the AI model / ML model and the CSI sub-reports generated by the non-AI / non-ML model are respectively and individually CSI mapped. That is, the CSI sub-reports generated by the AI model / ML model and the CSI sub-reports generated by the non-AI / non-ML model can be regarded as two separate multi-CSI reports.

[0261] In some embodiments, at least one sub-report of the sub-configuration included in the Multi-CSI is generated by the non-AI / non-ML model.

[0262] In the following implementation process, the first time period is taken as time period 1, the second time period is taken as time period 2, and the third time period is taken as time period 3. The configuration of the first time period, the second time period, and the third time period, and the determination process of the monitoring position are described.

[0263] Implementation process 1:

[0264] FIG. 6 is a schematic diagram of a CSI-RS measurement implementation provided by an embodiment of the present application. As shown in FIG. 6, in time period 1, the base station transmits the CSI-RS according to the configuration information, the UE measures the CSI-RS using the non-AI model (such as the basic codebook), calculates the CSI information, and feeds back the multi-CSI report to the base station.

[0265] In time period 1, M multi-CSI reports (M reporting occasions) are included, and the M multi-CSI reports are used for multi-CSI prediction in the subsequent N reporting occasions.

[0266] In time period 2, the base station does not send CSI-RS associated with Multi-CSI, and the UE predicts the Multi-CSI report using the AI model. The UE feeds back the predicted Multi-CSI report to the base station.

[0267] In some embodiments, in time period 2, the AI model predicts the Multi-CSI reports of N occasions together in one reporting occasion. This can reduce the reception of base station signaling.

[0268] Time period 1 and time period 2 are determined by at least one of the following: a reporting period, a first offset value (such as offset value 1), a second offset value (such as offset value 2), a first duration (such as duration 1), a second duration (such as duration 2), a first number (such as number 1), a second number (such as number 2), and a third number (such as number 3).

[0269] The reporting period represents the periodicity of the occurrence of time period 1 and time period 2. The unit of the reporting period can be ms, slot, frame, or number.

[0270] Offset value 1 represents the offset value between the starting position of time period 1 and a reference point.

[0271] Offset value 2 represents the offset value between the starting position of time period 2 and a reference point.

[0272] The reference point is related to at least one of the following: SFN, signaling. The reference point can be the first slot / symbol of SFN=0; the reference point can be a slot / symbol of a signaling reception; the reference point can be a slot / symbol after a slot / symbol of a signaling reception.

[0273] Duration 1 represents the duration of time period 1.

[0274] Duration 2 represents the duration of time period 2.

[0275] Number 1 represents the number of CSI reporting occasions in time period 1.

[0276] Number 2 represents the number of CSI reporting occasions in time period 2.

[0277] Number 3 represents the number of CSI reporting occasions in one period.

[0278] In an example, only one of number 1 and number 2 can be configured, and the other is obtained according to number 3 and one of number 1 and number 2.

[0279] Only one of duration 1 and duration 2 can be configured, and the other is obtained according to the reporting period and one of duration 1 and duration 2.

[0280] Example 1: FIG. 7 is a schematic diagram of determination of a first time period and a second time period according to an embodiment of the present application. In an embodiment, taking the first time period as time period 1 and the second time period as time period 2 as an example, as shown in FIG. 7, the time period 1 and the time period 2 are determined by the offset value 1, the value 1, the value 2 and the value 3.

[0281] Example 2: FIG. 8 is a schematic diagram of determination of a first time period and a second time period according to another embodiment of the present application. In an embodiment, taking the first duration as duration 1 as an example, as shown in FIG. 8, the time period 1 and the time period 2 are determined by the offset value 1 and the duration 1. The time period 2 is the position of the time period 1 in a reporting period.

[0282] Determination of reporting occasions in the time period 2:

[0283] In some embodiments, all the predicted Multi-CSI information in the time period 2 is reported in the first reporting occasion in the time period 2.

[0284] In some embodiments, the second Multi-CSI report (or multi-CSI report) of the first M predicted reporting occasions in the time period 2 is reported in the corresponding M reporting occasions in the time period 2, and the remaining predicted second Multi-CSI report is reported in the M+1 reporting occasion in the time period 2. This is to prevent not enough time to predict all Multi-CSI at the beginning.

[0285] In some embodiments, every X reporting occasions in the time period 2, the subsequent X predicted second Multi-CSI reports are reported in one reporting occasion. The last group of second Multi-CSI reports may not be X.

[0286] Determination of reporting resources in the time period 2:

[0287] If multiple Multi-CSI reports are reported in one reporting time, the original resource may not be enough, i.e. a new reporting resource needs to be determined.

[0288] In the CSI report configuration, multiple reporting resources (such as two PUCCH resources) are configured, and different reporting resources are selected according to different reporting situations.

[0289] Performance monitoring process:

[0290] In some cases, the performance of the Multi-CSI predicted by the AI model or the ML model needs to be monitored, so as to judge whether to continue to use the AI model or the ML model to predict the Multi-CSI, or whether to change the AI model or the ML model, etc. The monitoring can be performed at the UE side or at the base station side.

[0291] Scheme 1: UE gets the Multi-CSI for comparison according to non-AI or non-ML model, and calculates the predicted Multi-CSI according to AI or ML model. UE reports the predicted Multi-CSI and the comparison Multi-CSI to the base station, and the base station calculates the performance evaluation parameter according to the predicted Multi-CSI and the comparison Multi-CSI.

[0292] Scheme 2: UE calculates the predicted Multi-CSI and the comparison Multi-CSI according to AI or ML model and non-AI or non-ML model respectively. UE calculates the performance evaluation parameter according to the predicted Multi-CSI and the comparison Multi-CSI. UE reports the performance evaluation parameter to the base station.

[0293] Finally, the base station determines whether to continue to use AI or ML model to predict Multi-CSI, or whether to change AI or ML model, etc. according to the performance evaluation parameter.

[0294] Determination of monitoring position:

[0295] In some embodiments, UE only reports the predicted Multi-CSI calculated according to AI or ML model, non-AI or non-ML model, or performance evaluation parameter at the monitoring position.

[0296] Optionally, the monitoring position is the Xth CSI reporting occasion in time period 1.

[0297] Optionally, the monitoring position is the last N CSI reporting occasions in time period 1.

[0298] Optionally, the monitoring position is the Xth CSI reporting occasion in time period 2. X can be predefined or high layer configured or layer 1 signaling indicated, or determined by at least one of the following: period 2, interval time, value 4 and predefined. For example, X is 1.

[0299] Optionally, the monitoring position is the last CSI reporting time in time period 2.

[0300] Optionally, the monitoring position is the first CSI reporting time and the last CSI reporting time in time period 2.

[0301] Optionally, the monitoring position is Y CSI reporting occasions in time period 2. Y reporting occasions can be determined by at least one of the following: period 2, interval time, value 4, predefined.

[0302] For example, the monitoring position is every 'value 4' CSI reporting occasions from the first CSI reporting occasion in time period 2.

[0303] For example, the monitoring position occurs every 'periodicity 2' in time period 2.

[0304] For example, the monitoring position occurs every 'interval time' in time period 2.

[0305] For example, the monitoring position is the first Y CSI reporting occasions in time period 2.

[0306] For example, the monitoring position is the last Y CSI reporting occasions in time period 2.

[0307] For example, the monitoring position is even or odd CSI reporting occasions in time period 2.

[0308] For sub-configuration prediction or frequency domain prediction or CSI compression, the monitoring position can be periodic. For example, the monitoring position is the first reporting occasion of P CSI reporting periodicity. For example, the monitoring position is the first M reporting occasions of P CSI reporting periodicity. In an example, assume the set of reporting occasions of multi-CSI reporting is Set q. In some embodiments, the monitoring position is part or all of the reporting occasions of reporting predicted multi-CSI. That is, the monitoring position is Set w, which is a subset of Set q. P is a positive integer greater than or equal to 1 and less than or equal to 50. There are M monitoring positions per P reporting occasions.

[0309] In an example, assume the set of reporting occasions of multi-CSI reporting is Set q. In some embodiments, the monitoring position is part or all of the reporting occasions of reporting predicted multi-CSI. For example, the UE only reports predicted Multi-CSI on part of the reporting occasions (Set q of reporting occasions) in time period 2. And the monitoring position is Set w, which is a subset of Set q.

[0310] In an example, the monitoring position includes one of the following:

[0311] The Xth CSI reporting occasion in the set of reporting occasions of multi-CSI reporting, i.e., the monitoring position is the Xth CSI reporting occasion in Set q. X can be pre-defined, higher layer configured, or layer 1 signaling indicated. For example, X is 1.

[0312] The last CSI reporting occasion in the set of reporting occasions of multi-CSI reporting, i.e., the monitoring position is the last CSI reporting occasion in Set q.

[0313] The first and last CSI reporting occasions in the set of reporting occasions of multi-CSI reporting, i.e., the monitoring position is the 1st and last CSI reporting occasions in Set q.

[0314] Xth CSI reporting occasion in the P reporting occasions set of the multiple CSI reports, i.e. the Xth CSI reporting occasion in Set q. X can be predefined, higher layer configured, layer 1 signaling indicated. For example, X is 1.

[0315] Last CSI reporting occasion in the P reporting occasions set of the multiple CSI reports, i.e. the last CSI reporting occasion in Set q.

[0316] First and last CSI reporting occasion in the P reporting occasions set of the multiple CSI reports, i.e. the 1st and last CSI reporting occasion in Set q.

[0317] Y CSI reporting occasions in the P reporting occasions set of the multiple CSI reports, i.e. the Y CSI reporting occasions in Set q. Y reporting occasions can be determined by at least one of: periodicity 2, gap time, value 4, predefined.

[0318] Y CSI reporting occasions in the P reporting occasions set of the multiple CSI reports, i.e. the Y CSI reporting occasions in Set q. Y reporting occasions can be determined by at least one of: periodicity 2, gap time, value 4, predefined.

[0319] Implementation procedure 2:

[0320] In time period 1, the base station transmits CSI-RS according to the configuration information, the UE measures the CSI-RS using a non-AI model (e.g. basic codebook) and calculates CSI information, and the UE feeds back the CSI report (multi-CSI report) to the base station.

[0321] In time period 1, M multi-CSI reports (M reporting occasions) are included, and the M multi-CSI reports are used for multi-CSI prediction for the subsequent N reporting occasions.

[0322] In time period 2, the base station does not transmit CSI-RS associated with multi-CSI, and the base station predicts the multi-CSI report using an AI model. The UE does not need to feed back the predicted multi-CSI report to the base station.

[0323] The difference from implementation procedure 1 is that in time period 2 of implementation procedure 2, the UE does not need to send the multi-CSI report.

[0324] Configuration of time period 1 and time period 2, position determination method: same as implementation procedure 1.

[0325] The detection process can be the same as the implementation process 1.

[0326] In addition, the monitoring process further includes:

[0327] Scheme 3: The UE calculates the compared multi-CSI according to the non-AI model respectively. The UE reports the compared multi-CSI to the base station. The base station obtains the performance evaluation parameter according to the multi-CSI predicted by the base station and the multi-CSI reported by the UE.

[0328] Determination of the monitoring position: the same as the implementation process 1.

[0329] Implementation process 3:

[0330] FIG. 9 is a schematic diagram of another implementation of CSI-RS measurement provided by the present application. In the embodiment, taking the first time period as time period 1 and the second time period as time period 2 as an example, as shown in FIG. 9, in the time period 1, the base station sends the CSI-RS according to the configuration information, the UE measures the CSI-RS using the non-AI model (for example, the basic codebook), calculates the CSI information, and feeds back the CSI report (multi-CSI report) to the base station.

[0331] In the time period 1, M multi-CSI reports (M reporting occasions) are contained, and the M multi-CSI reports can be used for multi-CSI prediction in the subsequent N reporting occasions.

[0332] In the time period 2, the base station sends the CSI-RS associated with the multi-CSI, and the UE predicts the multi-CSI report using the AI model. The UE calculates the multi-CSI report using the method of the non-AI model at the same time. The calculation is used for performance monitoring. The monitoring process is the same as above.

[0333] In the time period 3, the base station does not send the CSI-RS associated with the multi-CSI, and the UE predicts the multi-CSI report using the AI model. The UE feeds back the predicted multi-CSI report to the base station.

[0334] Implementation process 4:

[0335] In the time period 1, the base station sends the CSI-RS according to the configuration information, the UE measures the CSI-RS using the non-AI model (for example, the basic codebook), calculates the CSI information, and feeds back the CSI report (multi-CSI report) to the base station.

[0336] In time period 1, there are M multi-CSI reports (M reporting occasions). The M multi-CSI reports can be used for multi-CSI prediction in the following N reporting occasions.

[0337] In time period 2, the base station sends CSI-RS associated with the multi-CSI, and the UE calculates the multi-CSI report using the non-AI model method. This is used for performance monitoring. The monitoring process is the same as above.

[0338] In time period 3, the base station does not send CSI-RS associated with the multi-CSI, and the base station predicts the multi-CSI report using the AI model. The UE does not need to feed back the predicted multi-CSI report to the base station.

[0339] In this embodiment, time period 3 is the predicted time period, which is equivalent to time period 2 in the case of only two time periods. In other words, time period 2 + time period 3 in this embodiment is equivalent to time period 2 in the case of only two time periods. In this embodiment, the monitoring position is expressed as time period 2.

[0340] Determination of time period 1, time period 2, and time period 3: at least one of the following: period, offset value 1, offset value 2, offset value 3, duration 1, duration 2, duration 3, value 1, value 2, value 3, value 4.

[0341] The period represents the period value of the occurrence of time period 1, time period 2, and time period 3. The unit can be ms / slot / frame / number.

[0342] Offset value 1 represents the offset value between the starting position of time period 1 and the reference point.

[0343] Offset value 2 represents the offset value between the starting position of time period 2 and the reference point. Alternatively, offset value 2 represents the offset value between the starting position of time period 3 and the end position of time period 1.

[0344] Offset value 3 represents the offset value between the starting position of time period 3 and the reference point.

[0345] The reference point is related to at least one of the following: SFN, signaling. The reference point can be the first slot / symbol of SFN=0. The reference point can be a slot / symbol in which a signaling is received. The reference point can be a slot / symbol after a slot / symbol in which a signaling is received.

[0346] Duration 1 represents the duration of time period 1.

[0347] Duration 2 represents the duration of time period 2.

[0348] Duration 3 represents the duration of time period 3.

[0349] The value 1 represents the number of CSI reporting occasions in the time period 1.

[0350] The value 2 represents the number of CSI reporting occasions in the time period 2.

[0351] The value 3 represents the number of CSI reporting occasions in one period.

[0352] The value 4 represents the number of CSI reporting occasions in the time period 3.

[0353] Example 1: FIG. 10 is a schematic diagram of determination of a first time period, a second time period and a third time period according to an embodiment of the present application. In an embodiment, taking the first time period as the time period 1 and the second time period as the time period 2 as an example, as shown in FIG. 10, the determination of the time period 1, the time period 2 and the time period 3 is related to the offset value 1, the offset value 2, the duration 1 and the duration 3.

[0354] In an embodiment, FIG. 11 is a structural block diagram of a channel measurement device according to an embodiment of the present application. The present embodiment is applied to a first communication device. As shown in FIG. 11, the channel measurement device in the present embodiment includes a receiver 1110, a generator 1120 and a communication module 1130.

[0355] The receiver 1110 is configured to receive high-layer configuration signaling, and the high-layer configuration signaling includes a plurality of sub-configurations.

[0356] The generator 1120 is configured to obtain one or more CSI sub-reports according to the sub-configurations.

[0357] The communication module 1130 is configured to report a multi-CSI report to a second communication device, wherein the multi-CSI report is obtained according to at least one of the one or more CSI sub-reports and the plurality of sub-configurations.

[0358] In an embodiment, the channel measurement device applied to the first communication device further includes:

[0359] A compressor configured to compress the multi-CSI report to obtain a compressed multi-CSI report.

[0360] In an embodiment, the compression of the multi-CSI report to obtain the compressed multi-CSI report includes:

[0361] Compressing transmission indication information in at least part of the CSI sub-reports in the multi-CSI report respectively to obtain the compressed multi-CSI report; or

[0362] Compressing the transmission indication information in at least part of the CSI sub-reports in the multi-CSI report together to obtain the compressed multi-CSI report.

[0363] In an embodiment, the transmission indication information comprises at least one of the following: a precoding matrix indication; a channel quality indication; a wideband precoding matrix indication; a wideband channel quality indication; a subband precoding matrix indication; a subband channel quality indication; a rank indication; a layer indication.

[0364] In an embodiment, the multiple CSI reports comprise compressed CSI sub-reports and uncompressed CSI sub-reports; the communication module 1130 comprises:

[0365] The ordering unit is configured to order each CSI sub-report in the multiple CSI reports according to the order of the uncompressed CSI sub-reports and the compressed CSI sub-reports;

[0366] The reporting unit is configured to report the ordered multiple CSI reports to the second communication device.

[0367] In an embodiment, the sub-configurations are associated with the first set and / or the second set; and the first set and the second set are indicated by high-layer signaling or layer 1 signaling; the multiple CSI reports are obtained according to one or more CSI sub-reports and at least one of the multiple sub-configurations, comprising at least one of the following:

[0368] The CSI sub-reports of the second set are obtained based on the sub-configurations of the first set and the AI model or the ML model;

[0369] The CSI sub-reports of the second set are obtained based on the CSI sub-reports of the first set and the AI model or the ML model;

[0370] The CSI sub-reports of the second set are obtained based on the CSI sub-reports of the first set, the sub-configurations of the first set and the sub-configurations of the second set, and the AI model or the ML model;

[0371] The CSI sub-reports of the second set are obtained based on the CSI sub-reports of the first set, the sub-configurations of the first set, and the AI model or the ML model;

[0372] The CSI sub-reports of the second set are obtained based on the sub-configurations of the first set and the sub-configurations of the second set, and the AI model or the ML model;

[0373] The CSI sub-reports of the second set are obtained based on the CSI sub-reports of the first set and the sub-configurations of the second set, and the AI model or the ML model.

[0374] In an embodiment, the multiple sub-configurations comprise M sets of sub-configurations; the multiple CSI reports are obtained according to one or more CSI sub-reports and at least one of the multiple sub-configurations, comprising:

[0375] At the Kth time period, based on at least one of the sub-configuration of the mod(K / M)th set, the sub-report of the mod(K / M)th set and the sub-configuration of the other set, and the AI model or the ML model, the CSI sub-report of the other set is obtained; wherein, M is an integer greater than or equal to 2; K is an integer greater than or equal to 1.

[0376] In an embodiment, the channel measurement device applied to the first communication device further comprises:

[0377] The determining module is configured to obtain the sub-configuration information based on the first type of information;

[0378] The transmitter is configured to send the sub-configuration information to the second communication device.

[0379] In an embodiment, the first type of information at least includes one of the following: physical resource block utilization rate; number of user equipment; sub-configuration information of the first set; CSI sub-report of the first set; RRC connection number; block error rate; throughput.

[0380] In an embodiment, the channel measurement device applied to the first communication device further comprises:

[0381] The receiver is further configured to receive the sub-configuration information sent by the second communication device; wherein, the sub-configuration information is used to indicate the activation or deactivation of the sub-configuration.

[0382] In an embodiment, the channel measurement device applied to the first communication device further comprises:

[0383] The prediction module is configured to predict the sub-band information of the second set according to the sub-band information of the first set and / or the sub-configuration corresponding to the sub-band information of the first set.

[0384] In an embodiment, the first set and the second set are determined by one of the following ways: predefinition; high layer signaling configuration; layer 1 signaling indication.

[0385] In an embodiment, the sub-band corresponding to each set includes one of the following: pre-defined specific sub-band; periodic sub-band; odd sub-band; even sub-band; bit map indicated sub-band.

[0386] In an embodiment, the multiple CSI reports are reported to the second communication device, comprising:

[0387] In the multiple CSI reports, the CSI sub-reports generated by the non-AI model or the non-ML model are arranged first, and then the CSI sub-reports generated by the AI model or the ML model are arranged, to obtain the ordered multiple CSI reports;

[0388] The ordered multiple CSI reports are reported to the second communication device.

[0389] In an embodiment, reporting the multiple CSI reports to the second communication device comprises:

[0390] The one or more CSI sub-reports generated by the AI model or the ML model are respectively transmitted to the second communication device together with one or more CSI sub-reports generated by a non-AI model or a non-ML model.

[0391] In an embodiment, the multiple CSI reports comprise at least one CSI sub-report generated by a non-AI model or a non-ML model.

[0392] In an embodiment, the higher layer configuration signaling further comprises: first configuration information; the first configuration information comprises: configuration information of the first time period and configuration information of the second time period; and the multiple CSI reports are obtained according to at least one of the one or more CSI sub-reports and the multiple sub-configurations, comprising:

[0393] At least one first multiple CSI report of the first time period is obtained according to the configuration information of the first time period and the sub-configuration.

[0394] At least one second multiple CSI report of the second time period is obtained according to at least one of the at least one first multiple CSI report of the first time period and the sub-configuration and the AI model or the ML model.

[0395] In an embodiment, reporting the multiple CSI reports to the second communication device comprises: reporting at least one second multiple CSI report to the second communication device at a partial reporting occasion of the second time period.

[0396] In an embodiment, the determination manner of the reporting occasion comprises one of the following:

[0397] The first reporting occasion of the second time period;

[0398] The first M second multiple CSI reports of the one or more second multiple CSI reports are reported at the reporting occasion of the corresponding second time period, and the remaining second multiple CSI reports are reported at the M+1th reporting occasion of the second time period;

[0399] Every X reporting occasions in the second time period, the subsequent X second multiple CSI reports are reported at one reporting occasion; wherein M and X are positive integers greater than or equal to 1.

[0400] In an embodiment, the higher layer configuration signaling further comprises: first configuration information; the first configuration information comprises: configuration information of the first time period and configuration information of the second time period; and the multiple CSI reports are obtained according to at least one of the one or more CSI sub-reports and the multiple sub-configurations, comprising at least one of the following:

[0401] obtaining the CSI sub-reports of the second set of the second time period based on the CSI sub-reports of the first set of the first time period and the AI model or the ML model;

[0402] obtaining the CSI sub-reports of the second set of the second time period based on the CSI sub-reports of the first set of the first time period and the AI model or the ML model;

[0403] obtaining the CSI sub-reports of the second set of the second time period based on the CSI sub-reports of the first set of the first time period, the sub-configuration of the first set of the first time period and the sub-configuration of the second set of the second time period, and the AI model or the ML model;

[0404] obtaining the CSI sub-reports of the second set of the second time period based on the sub-configuration of the first set of the first time period and the sub-configuration of the second set of the second time period, and the AI model or the ML model;

[0405] obtaining the CSI sub-reports of the second set of the second time period based on the sub-reports of the first set of the first time period and the sub-configuration of the second set of the second time period, and the AI model or the ML model.

[0406] In an embodiment, the high-layer configuration signaling further comprises: first configuration information; the first configuration information comprises configuration information of the first time period and the second time period; and the multiple CSI reports are obtained based on one or more of the following: the one or more CSI sub-reports, and at least one of the multiple sub-configurations, comprising:

[0407] obtaining the sub-band information of the second set of the second time period based on the sub-band information of the first set of the first time period and / or the sub-configuration corresponding to the sub-band information of the first set of the first time period.

[0408] In an embodiment, the first configuration information comprises configuration information of the first time period and the second time period; and the configuration information of the first time period and the second time period comprises at least one of the following: a reporting period, a first offset value, a second offset value, a first duration, a second duration, a first number, a second number and a third number;

[0409] wherein the first offset value represents an offset value between the starting position of the first time period and a reference point; the second offset value represents an offset value between the starting position of the second time period and the reference point; the first duration represents a duration of the first time period; the second duration represents a duration of the second time period; the first number represents a number of CSI reporting occasions in the first time period; the second number represents a number of CSI reporting occasions in the second time period; and the third number represents a number of CSI reporting occasions in one reporting period.

[0410] In an embodiment, the channel measurement device applied to the first communication device further comprises:

[0411] The configuration module is configured to configure multiple reporting resources in the CSI reporting configuration corresponding to the multiple CSI reporting.

[0412] The selector is configured to select the corresponding reporting resource according to the reporting situation of the multiple CSI reporting.

[0413] In an embodiment, the reporting of the multiple CSI reporting to the second communication device comprises:

[0414] Reporting the multiple CSI reporting to the second communication device at a pre-configured monitoring position; wherein the monitoring position is part or all of the reporting occasion set of the multiple CSI reporting.

[0415] The multiple CSI reporting comprises a second multiple CSI reporting generated based on an AI model or an ML model, and a first multiple CSI reporting generated based on a non-AI model or a non-ML model, and the first multiple CSI reporting and the second multiple CSI reporting correspond to the same sub-configuration and / or sub-band and / or measurement occasion / reporting occasion.

[0416] In an embodiment, the monitoring position comprises one of the following:

[0417] An Xth CSI reporting occasion in the reporting occasion set of the multiple CSI reporting; wherein X is determined in one of the following manners: predefinition, higher layer configuration, and layer 1 signaling indication.

[0418] The last CSI reporting occasion in the reporting occasion set of the multiple CSI reporting.

[0419] The first CSI reporting occasion and the last CSI reporting occasion in the reporting occasion set of the multiple CSI reporting.

[0420] Y CSI reporting occasions in the reporting occasion set of the multiple CSI reporting; wherein the Y is determined in at least one of the following: period 2, interval time, value 4, and predefinition.

[0421] The channel measurement device provided in the embodiment is arranged to implement the channel measurement method applied to the first communication device in the embodiment shown in FIG. 1, and the channel measurement device provided in the embodiment has similar implementation principles and technical effects, which will not be described here.

[0422] In an embodiment, FIG. 12 is a structural block diagram of another channel measurement device provided in the embodiment of the application. The embodiment is applied to the first communication device. As shown in FIG. 12, the channel measurement device in the embodiment comprises a transmitter 1210 and a receiver 1220.

[0423] The transmitter 1210 is configured to send a higher layer configuration signaling to the first communication device; the higher layer configuration signaling comprises multiple sub-configurations.

[0424] The receiver 1220 is configured to receive a first plurality of CSI reports reported by the first communication device; wherein the first plurality of CSI reports are obtained according to sub-configurations.

[0425] In an embodiment, the channel measurement apparatus applied to the second communication device further comprises:

[0426] The generating module is configured to obtain a second plurality of CSI reports according to the sub-configurations and the first plurality of CSI reports.

[0427] In an embodiment, the sub-configurations are associated with the first set and / or the second set; and the first set and the second set are obtained by high-layer signaling or layer 1 signaling indication; obtaining the second plurality of CSI reports according to the sub-configurations and the first plurality of CSI reports comprises at least one of the following:

[0428] obtaining the CSI sub-reports of the second set based on the sub-configurations of the first set and the AI model or the ML model;

[0429] obtaining the CSI sub-reports of the second set based on the CSI sub-reports of the first set and the AI model or the ML model;

[0430] obtaining the CSI sub-reports of the second set based on the CSI sub-reports of the first set, the sub-configurations of the first set and the sub-configurations of the second set, and the AI model or the ML model;

[0431] obtaining the CSI sub-reports of the second set based on the sub-configurations of the first set and the sub-configurations of the second set, and the AI model or the ML model;

[0432] obtaining the CSI sub-reports of the second set based on the sub-reports of the first set and the sub-configurations of the second set, and the AI model or the ML model.

[0433] In an embodiment, the plurality of sub-configurations comprises M sets of sub-configurations; obtaining the second plurality of CSI reports according to the sub-configurations and the first plurality of CSI reports comprises:

[0434] obtaining the CSI sub-reports of the other sets based on at least one of the sub-configurations of the mod(K / M)th set, the sub-reports of the mod(K / M)th set and the sub-configurations of the other sets, and the AI model or the ML model in the K time period; wherein M is an integer greater than or equal to 2; and K is an integer greater than or equal to 1.

[0435] In an embodiment, the channel measurement apparatus applied to the first communication device further comprises:

[0436] The generating module is further configured to obtain the sub-configuration information based on the first type of information;

[0437] The indicator is configured to indicate activation or deactivation of the sub-configuration to the first communication device according to the sub-configuration information.

[0438] In an embodiment, the channel measurement device applied to the first communication device further comprises:

[0439] The receiver 1220 is further configured to receive the sub-configuration information sent by the first communication device; wherein the sub-configuration information is obtained by the first communication device based on the first type of information.

[0440] In an embodiment, the channel measurement device applied to the first communication device further comprises:

[0441] The prediction module is configured to predict the second set of sub-band information according to the first set of sub-band information and / or the sub-configuration corresponding to the first set of sub-band information.

[0442] In an embodiment, the high-layer configuration signaling further comprises: the first configuration information; the first configuration information comprises: configuration information of the first time period and configuration information of the second time period; and the second multiple CSI reports are obtained according to the sub-configuration and / or the first multiple CSI reports, comprising:

[0443] At least one second multiple CSI report of the second time period is obtained according to at least one first multiple CSI report of the first time period and the AI model or the ML model.

[0444] In an embodiment, the high-layer configuration signaling further comprises: the first configuration information; the first configuration information comprises: configuration information of the first time period and configuration information of the second time period; and the second multiple CSI reports are obtained according to the sub-configuration and / or the first multiple CSI reports, comprising:

[0445] A second set of CSI sub-reports of the second time period is obtained according to a first set of sub-configurations of the first time period and the AI model or the ML model;

[0446] A second set of CSI sub-reports of the second time period is obtained based on a first set of CSI sub-reports of the first time period and the AI model or the ML model;

[0447] A second set of CSI sub-reports of the second time period is obtained based on a first set of CSI sub-reports of the first time period, a first set of sub-configurations of the first time period and a second set of sub-configurations of the second time period, and the AI model or the ML model;

[0448] A second set of CSI sub-reports of the second time period is obtained based on a first set of sub-configurations of the first time period and a second set of sub-configurations of the second time period, and the AI model or the ML model;

[0449] The CSI sub-reports of the second set of time periods are obtained based on the sub-reports of the first set of time periods and the sub-configurations of the second set of time periods, and the AI model or the ML model.

[0450] In an embodiment, the high-layer configuration signaling further comprises: first configuration information; the first configuration information comprises: configuration information of the first time periods and the second time periods; and the second multiple CSI reports are obtained according to the sub-configurations and / or the first multiple CSI reports, comprising:

[0451] The sub-band information of the second set of time periods is predicted based on the sub-band information of the first set of time periods and / or the sub-configurations corresponding to the sub-band information of the first set of time periods.

[0452] The channel measurement device provided in the embodiment is configured to implement the channel measurement method applied to the second communication device in the embodiment shown in FIG. 2. The channel measurement device provided in the embodiment has similar implementation principles and technical effects, which will not be described here.

[0453] In an embodiment, FIG. 13 is a structural schematic diagram of a communication device provided in the embodiment. As shown in FIG. 13, the device provided in the embodiment includes a processor 1310, a memory 1320, and a communication module 1330. The number of the processor 1310 in the device can be one or more, and one processor 1310 is taken as an example in FIG. 13. The number of the memory 1320 in the device can be one or more, and one memory 1320 is taken as an example in FIG. 13. The processor 1310, the memory 1320, and the communication module 1330 of the device can be connected through a bus or other manners, and the connection through the bus is taken as an example in FIG. 13. In the embodiment, the device can be the first communication device or the second communication device.

[0454] The memory 1320 as a computer-readable storage medium can be configured to store software programs, computer-executable programs, and modules, such as program instructions / modules corresponding to the device in any embodiment of the present application (for example, the receiver 1110, the generator 1120, and the communication module 1130 in the channel measurement device). The memory 1320 can include a program storage area and a data storage area, where the program storage area can store an operating system and at least one application required by a function; and the data storage area can store data created according to the use of the device, and the like. In addition, the memory 1320 can include a high-speed random access memory, and can also include a nonvolatile memory, such as at least one magnetic disk storage device, a flash memory device, or other nonvolatile solid-state memory device. In some examples, the memory 1320 can further include a memory remotely arranged relative to the processor 1310, which can be connected to the device through a network. Examples of the network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0455] In the case that the communication device is the first communication device, the device provided above can be configured to perform the channel measurement method applied to the first communication device provided in any of the embodiments above, and has the corresponding functions and effects.

[0456] In the case that the communication device is the second communication device, the device provided above can be configured to perform the channel measurement method applied to the second communication device provided in any of the embodiments above, and has the corresponding functions and effects.

[0457] The embodiments of the present application also provide a storage medium containing computer executable instructions, which, when executed by a computer processor, are used to perform a channel measurement method applied to a first communication device, the method comprising: receiving high layer configuration signaling, the high layer configuration signaling comprising a plurality of sub-configurations; obtaining one or more CSI sub-reports according to the sub-configurations; and reporting a plurality of CSI reports to a second communication device; wherein the plurality of CSI reports are obtained according to at least one of the one or more CSI sub-reports and the plurality of sub-configurations.

[0458] The embodiments of the present application also provide a storage medium containing computer executable instructions, which, when executed by a computer processor, are used to perform a channel measurement method applied to a second communication device, the method comprising: sending high layer configuration signaling to a first communication device; the high layer configuration signaling comprising a plurality of sub-configurations; and receiving a first plurality of CSI reports reported by the first communication device; wherein the first plurality of CSI reports are obtained according to the sub-configurations.

[0459] Those skilled in the art will appreciate that the term user equipment encompasses any suitable type of wireless user equipment, such as mobile telephones, portable data processing devices, portable web browsers or in-vehicle mobile stations.

[0460] Generally, the various embodiments of the present application can be implemented in hardware or special-purpose circuits, software, logic or any combination thereof. For example, some aspects can be implemented in hardware, while other aspects can be implemented in

[0461] Embodiments of the present application can be implemented by a data processor of a mobile device executing computer program instructions, for example, in a processor entity, or by hardware, or by a combination of software and hardware. Computer program instructions can be assembly instructions, Instruction Set Architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages.

[0462] The block diagrams of any logical flows of the present application can represent program steps, or can represent interconnected logic circuits, modules, and functions, or can represent a combination of program steps and logic circuits, modules, and functions. The computer program can be stored on a memory. The memory can be of any type suitable to the local technical environment and can be implemented using any suitable data storage technology, such as, but not limited to, random access memory (RAM), read-only memory (ROM), optical storage devices, and tape storage devices, among others. The computer readable media can include non-transitory storage media. The data processor can be of any type suitable to the local technical environment, and can include one or more of general purpose computers, special purpose computers, microprocessors, digital signal processors (DSPs), application specific integrated circuits (ASIC), field- programmable gate arrays (FPGAs), and processors based on multi-core processor architectures, as examples.

[0463] The embodiments of the present application further provide a computer program product, comprising a computer program which, when executed by a processor, can implement the channel measurement method provided by any of the embodiments of the present application.

[0464] The computer program product, in implementation, can be written in one or more programming languages or combinations of languages to perform the operations of the present application, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code can be executed entirely on the user computer, partially on the user computer, as a separate software package, partially on the user computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, through the Internet using an Internet service provider).

[0465] The above merely provides preferred embodiments of the present application, and is not used to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the principles and technical scope of the present application shall fall into the scope of the present application.

Claims

1. A method for channel measurement, applied to a first communication device, comprising: receiving high layer configuration signaling, the high layer configuration signaling comprising a plurality of sub-configurations; obtaining at least one channel state information (CSI) sub-report according to the plurality of sub-configurations; and reporting a multi-CSI report to a second communication device, wherein the multi-CSI report is obtained according to the at least one CSI sub-report and at least one of the plurality of sub-configurations. 2.The method of claim 1, further comprising: compressing the multi-CSI report to obtain a compressed multi-CSI report. The step of compressing the multi-CSI report to obtain a compressed multi-CSI report comprises: compressing transmission indication information in at least part of the CSI sub-reports in the multi-CSI report respectively to obtain the compressed multi-CSI report; or compressing the transmission indication information in at least part of the CSI sub-reports in the multi-CSI report together to obtain the compressed multi-CSI report. The transmission indication information comprises at least one of the following: precoding matrix indication; channel quality indication; wideband precoding matrix indication; wideband channel quality indication; subband precoding matrix indication; subband channel quality indication; rank indication; layer indication. The multi-CSI report comprises compressed CSI sub-reports and uncompressed CSI sub-reports; and the step of reporting the multi-CSI report to the second communication device comprises: sorting each CSI sub-report in the multi-CSI report according to the order of the uncompressed CSI sub-reports and the compressed CSI sub-reports; and reporting the sorted multi-CSI report to the second communication device. The plurality of sub-configurations are associated with at least one of a first set and a second set; and the first set and the second set are indicated by high layer signaling or layer 1 signaling; and the step of obtaining the multi-CSI report according to the at least one CSI sub-report and at least one of the plurality of sub-configurations comprises at least one of the following: obtaining a CSI sub-report of the second set based on a sub-configuration of the first set and an artificial intelligence (AI) model or a machine learning (ML) model; obtaining a CSI sub-report of the second set based on a CSI sub-report of the first set and an AI model or an ML model; obtaining a CSI sub-report of the second set based on a CSI sub-report of the first set, a sub-configuration of the first set and a sub-configuration of the second set, and an AI model or an ML model; obtaining a CSI sub-report of the second set based on a CSI sub-report of the first set, a sub-configuration of the first set, and an AI model or an ML model; obtaining a CSI sub-report of the second set based on a sub-configuration of the first set and a sub-configuration of the second set, and an AI model or an ML model; obtaining a CSI sub-report of the second set based on a CSI sub-report of the first set and a sub-configuration of the second set, and an AI model or an ML model.

3. The method of claim 2, wherein, The plurality of sub-configurations comprise sub-configurations of M sets; and the step of obtaining the multi-CSI report according to the at least one CSI sub-report and at least one of the plurality of sub-configurations comprises: ​ ​ 4. The method of claim 3, wherein, ​ 5. The method of claim 3, wherein, ​ ​ ​ 6. The method of claim 1, wherein, ​ ​ ​ ​ ​ ​ ​ 7. The method of claim 1, wherein, ​ At the Kth time period, based on at least one of the mod(K / M)th set of sub-configuration, the mod(K / M)th set of CSI sub-report and the other set of sub-configuration, and the AI model or the ML model, obtain the CSI sub-report of the other set; wherein, M is an integer greater than or equal to 2; K is an integer greater than or equal to 1.

8. The method of claim 1, further comprising: obtaining sub-configuration information based on the first type of information; sending the sub-configuration information to the second communication device.

9. The method of claim 8, wherein, The first type of information at least includes one of the following: physical resource block utilization rate; number of user equipment; sub-configuration information of the first set; CSI sub-report of the first set; radio resource control (RRC) connection number; block error rate; throughput.

10. The method of claim 1, further comprising: receiving sub-configuration information sent by the second communication device; wherein, the sub-configuration information is used to indicate the activation or deactivation of the sub-configuration.

11. The method of claim 1, further comprising: predicting the second set of sub-band information according to at least one of the first set of sub-band information and the sub-configuration corresponding to the first set of sub-band information.

12. The method of claim 6 or 11, wherein, The first set and the second set are determined by one of the following ways: predefinition; high layer signaling configuration; layer 1 signaling indication.

13. The method of claim 11, wherein, The sub-band corresponding to each set includes one of the following: a pre-defined specific sub-band; a periodic sub-band; an odd sub-band; an even sub-band; a bit map indicated sub-band.

14. The method of claim 1, wherein, The reporting of the multiple CSI reports to the second communication device includes: In the multiple CSI reports, the CSI sub-reports generated by the non-AI model or the non-ML model are arranged first, and then the CSI sub-reports generated by the AI model or the ML model are arranged, to obtain the ordered multiple CSI reports; reporting the ordered multiple CSI reports to the second communication device.

15. The method of claim 1, wherein, The reporting of the multiple CSI reports to the second communication device includes: At least one CSI sub-report generated by the AI model or the ML model is sent to the second communication device separately from at least one CSI sub-report generated by the non-AI model or the non-ML model.

16. The method of claim 1, wherein, The multiple CSI reports at least include the CSI sub-reports generated by the non-AI model or the non-ML model.

17. The method of claim 1, wherein, The high layer configuration signaling further includes: first configuration information; the first configuration information includes: configuration information of the first time period; the obtaining of the multiple CSI reports according to at least one of the at least one CSI sub-report and the multiple sub-configurations includes: obtaining at least one first multiple CSI report of the first time period according to the configuration information of the first time period and the multiple sub-configurations; obtaining at least one second multiple CSI report of the second time period according to at least one of the at least one first multiple CSI report of the first time period and the multiple sub-configurations, and the AI model or the ML model.

18. The method of claim 17, wherein, The reporting of the multiple CSI reports to the second communication device includes: reporting at least one second multiple CSI report to the second communication device at a part of the reporting occasions of the second time period.

19. The method of claim 18, wherein, The determination method of the reporting occasion includes one of the following: the first reporting occasion of the second time period; The first M second multiple CSI reports of the at least one second multiple CSI report are reported at a reporting occasion of a corresponding second time period, and the remaining second multiple CSI reports are reported at an M+1th reporting occasion of the second time period; Every X reporting occasions in the second time period, X subsequent second multiple CSI reports are reported at one reporting occasion; wherein M and X are positive integers greater than or equal to 1.

20. The method of claim 1, wherein, The high-layer configuration signaling further comprises: first configuration information; the first configuration information comprises configuration information of the first time period and the second time period; and the obtaining of the multiple CSI report according to the at least one CSI sub-report and at least one of the multiple sub-configurations comprises at least one of the following: obtaining, according to the first set of sub-configurations of the first time period and the AI model or the ML model, the second set of CSI sub-reports of the second time period; obtaining, according to the first set of CSI sub-reports of the first time period and the AI model or the ML model, the second set of CSI sub-reports of the second time period; obtaining, according to the first set of CSI sub-reports of the first time period, the first set of sub-configurations of the first time period, the second set of sub-configurations of the second time period, and the AI model or the ML model, the second set of CSI sub-reports of the second time period; obtaining, according to the first set of sub-configurations of the first time period and the second set of sub-configurations of the second time period, and the AI model or the ML model, the second set of CSI sub-reports of the second time period; obtaining, according to the first set of CSI sub-reports of the first time period and the second set of sub-configurations of the second time period, and the AI model or the ML model, the second set of CSI sub-reports of the second time period.

21. The method of claim 1, wherein, The high-layer configuration signaling further comprises: first configuration information; the first configuration information comprises configuration information of the first time period and the second time period; and the obtaining of the multiple CSI report according to the at least one CSI sub-report and at least one of the multiple sub-configurations comprises at least one of the following: obtaining, according to at least one of the first set of sub-band information of the first time period and the corresponding sub-configuration of the first set of sub-band information of the first time period, the second set of sub-band information of the second time period.

22. The method of any one of claims 17-21, wherein, The first configuration information comprises configuration information of the first time period and the second time period; and the configuration information of the first time period and the second time period comprises at least one of the following: a reporting period, a first offset value, a second offset value, a first duration, a second duration, a first numerical value, a second numerical value, and a third numerical value; wherein the first offset value represents an offset value between the starting position of the first time period and a reference point; the second offset value represents an offset value between the starting position of the second time period and the reference point; the first duration represents the duration of the first time period; the second duration represents the duration of the second time period; the first numerical value represents the number of CSI reporting occasions in the first time period; the second numerical value represents the number of CSI reporting occasions in the second time period; and the third numerical value represents the number of CSI reporting occasions in one reporting period.

23. The method of claim 1, further comprising: The multiple CSI reports correspond to a CSI report configuration, and multiple reporting resources are configured in the CSI report configuration; The multiple CSI reports are reported to the second communication device according to the reporting situation of the multiple CSI reports.

24. The method of claim 1, wherein, The multiple CSI reports are reported to the second communication device according to the reporting situation of the multiple CSI reports. The multiple CSI reports are reported to the second communication device according to the reporting situation of the multiple CSI reports. The multiple CSI reports are reported to the second communication device according to the reporting situation of the multiple CSI reports.

25. The method of claim 24, wherein, The multiple CSI reports include second multiple CSI reports generated based on an AI model or an ML model, and first multiple CSI reports generated based on a non-AI model or a non-ML model, and at least one of sub-configuration, sub-band, measurement occasion and reporting occasion between the first multiple CSI reports and the second multiple CSI reports is the same. The monitoring position includes one of the following: The Xth CSI reporting occasion in the reporting occasion set of the multiple CSI reports; wherein the X is determined by one of the following: predefinition; high layer configuration; layer 1 signaling indication; The last CSI reporting occasion in the reporting occasion set of the multiple CSI reports; The first CSI reporting occasion and the last CSI reporting occasion in the reporting occasion set of the multiple CSI reports; Y CSI reporting occasions in the reporting occasion set of the multiple CSI reports; wherein the Y is determined by at least one of the following: period 2, interval time, value 4, and predefinition.

26. A channel measurement method applied to a second communication device, comprising: sending high layer configuration signaling to a first communication device; The high layer configuration signaling includes multiple sub-configurations; Receiving a first multiple CSI report reported by the first communication device; wherein the first multiple CSI report is obtained according to the multiple sub-configurations.

27. The method of claim 26, further comprising:

28. The method of claim 27, wherein, obtaining a second multiple CSI report according to at least one of the multiple sub-configurations and the first multiple CSI report. The multiple sub-configurations are associated with at least one of a first set and a second set; and the first set and the second set are indicated by high layer signaling or layer 1 signaling; and the second multiple CSI report is obtained according to at least one of the multiple sub-configurations and the first multiple CSI report, including at least one of the following: Based on the sub-configuration of the first set and the AI model or the ML model, obtain the CSI sub-report of the second set; Based on the CSI sub-report of the first set and the AI model or the ML model, obtain the CSI sub-report of the second set; Based on the CSI sub-report of the first set, the sub-configuration of the first set and the sub-configuration of the second set, and the AI model or the ML model, obtain the CSI sub-report of the second set; Based on the sub-configuration of the first set and the sub-configuration of the second set, and the AI model or the ML model, obtain the CSI sub-report of the second set; Based on the CSI sub-report of the first set and the sub-configuration of the second set, and the AI model or the ML model, obtain the CSI sub-report of the second set.

29. The method of claim 27, wherein, The multiple sub-configurations include M sets of sub-configurations; and the second multiple CSI reports are obtained according to at least one of the multiple sub-configurations and the first multiple CSI reports. At the Kth time period, based on at least one of the mod(K / M)th set of sub-configurations, the mod(K / M)th set of sub-reports and other sets of sub-configurations, and an AI model or an ML model, a CSI sub-report of the other sets is obtained; wherein M is an integer greater than or equal to 2; and K is an integer greater than or equal to 1.

30. The method of claim 26, further comprising: obtaining sub-configuration information based on the first type of information; indicating activation or deactivation of a sub-configuration to the first communication device according to the sub-configuration information.

31. The method of claim 26, further comprising: receiving sub-configuration information sent by the first communication device; wherein the sub-configuration information is obtained by the first communication device based on the first type of information.

32. The method of claim 26, further comprising: predicting second set of sub-band information according to at least one of the first set of sub-band information and sub-configuration corresponding to the first set of sub-band information.

33. The method of claim 27, wherein, The high-layer configuration signaling further includes first configuration information; the first configuration information includes configuration information of a first time period and configuration information of a second time period; and the second multiple CSI reports are obtained according to at least one of the multiple sub-configurations and the first multiple CSI reports, including: obtaining at least one second multiple CSI report of a second time period according to at least one first multiple CSI report of the first time period and an AI model or an ML model.

34. The method of claim 27, wherein, The high-layer configuration signaling further includes first configuration information; the first configuration information includes configuration information of a first time period and configuration information of a second time period; and the second multiple CSI reports are obtained according to at least one of the multiple sub-configurations and the first multiple CSI reports, including: obtaining a second set of CSI sub-reports of a second time period according to a first set of sub-configurations of a first time period and an AI model or an ML model; obtaining a second set of CSI sub-reports of a second time period based on a first set of CSI sub-reports of a first time period and an AI model or an ML model; obtaining a second set of CSI sub-reports of a second time period based on a first set of CSI sub-reports of a first time period, a first set of sub-configurations of the first time period and a second set of sub-configurations of the second time period, and an AI model or an ML model; obtaining a second set of CSI sub-reports of a second time period based on a first set of sub-configurations of a first time period and a second set of sub-configurations of the second time period, and an AI model or an ML model; obtaining a second set of CSI sub-reports of a second time period based on a first set of CSI sub-reports of a first time period and a second set of sub-configurations of the second time period, and an AI model or an ML model.

35. The method of claim 27, wherein, The high-layer configuration signaling further comprises: first configuration information; the first configuration information comprises: configuration information of a first time period and a second time period; and the second multiple CSI reports are obtained according to at least one of the multiple sub-configurations and the first multiple CSI reports, comprising: The sub-band information of the second set of time periods is predicted according to at least one of the sub-band information of the first set of time periods and the sub-configuration corresponding to the sub-band information of the first set of time periods.

36. A communication device, comprising: a memory, and at least one processor; The memory is configured to store at least one program. When the at least one program is executed by the at least one processor, the at least one processor implements the method in any one of claims 1-35.

37. A storage medium, the storage medium storing a computer program, the computer program being executed by a processor to implement the method in any one of claims 1-35.

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