Method and apparatus in node used for wireless communication

Abstract

The invention discloses a method and an apparatus in a node used for wireless communication. The first node receives the RS in the first RS resource set; and transmitting the first CSI and the second CSI. At least one matrix depends on the first CSI and the second CSI, and the at least one matrix is used for precoding; the first CSI and the second CSI both depend on channel measurements obtained based on the first RS resource set, the first CSI is codebook-based, and the second CSI conforms to at least one of the following: a channel parameter recovered by a target receiver of the second CSI based on the second CSI is unknown to the first node; a generator for generating the second CSI is obtained based on training; the second CSI does not belong to the CSI defined by the 3GPPR17, and does not belong to the CSI defined by the previous version of the 3GPPR17. According to the method, the CSI accuracy is improved, the reporting overhead is reduced, and the overall performance of the system is improved.

Description

Technical Field

[0001] The present application relates to a transmission method and apparatus in a wireless communication system, and in particular to a scheme and apparatus related to CSI (Channel Status Information) in a wireless communication system. Background Art

[0002] Multi-antenna technology is a key technology in 3GPP (3rd Generation Partner Project) LTE (Long-term Evolution) system and NR (New Radio) system. Additional spatial degrees of freedom are obtained by configuring multiple antennas at communication nodes, such as base stations or UE (User Equipment). Multiple antennas form beams pointing in a specific direction through beamforming to improve communication quality. The degrees of freedom provided by the multi-antenna system can be used to improve transmission reliability and / or throughput. When multiple antennas belong to multiple TRPs (Transmitter Receiver Points) / panels, additional diversity gain can be obtained by utilizing the spatial differences between different TRPs / panels. It is a common method in 3GPP for UE to report CSI (Channel State Information) to assist network equipment in multi-antenna operation and beamforming, etc. With the increase in the number of antennas and the improvement in system performance requirements, the traditional CSI feedback method will bring a lot of redundant overhead. Therefore, in NR R (release) 18, CSI compression based on AI (Artificial Intelligence) or ML (Machine Learning) was launched. Summary of the invention

[0003] In NR (New Radio) R (release) 18, CSI reporting needs to meet higher requirements (such as but not limited to multiple TRP / panel, channel prediction, medium / high-speed mobile UE, and more flexible duplex mode or full-duplex mode, etc.). The applicant found through research that the existing CSI scheme cannot meet the above requirements. It should be noted that although many embodiments in this application are developed for CSI and AI / ML with higher requirements, this application is also applicable to other schemes, such as traditional CSI. In addition, the use of a unified solution for different scenarios (including but not limited to CSI for higher requirements, CSI based on AI / ML and traditional CSI) also helps to reduce hardware complexity and cost. In the absence of conflict, the embodiments in the first node of the present application and the features in the embodiments can be applied to the second node, and vice versa. In the absence of conflict, the embodiments of the present application and the features in the embodiments can be combined with each other arbitrarily.

[0004] As an example, the interpretation of the terms in the present application refers to the definitions of the TS38 series of specification protocols of 3GPP.

[0005] The present application discloses a method in a first node used for wireless communication, characterized by comprising:

[0006] Receiving RS in a first RS resource set;

[0007] sending a first CSI and a second CSI, at least one matrix depending on the first CSI and the second CSI, the at least one matrix being used for precoding;

[0008] The first CSI and the second CSI both rely on channel measurement obtained based on the first RS resource set, the first CSI is based on a codebook, and the second CSI complies with at least one of the following:

[0009] A channel parameter restored by a target receiver of the second CSI based on the second CSI is unknown to the first node;

[0010] The generator for generating the second CSI is obtained based on training;

[0011] The second CSI does not belong to the CSI defined in 3GPP R17, nor does it belong to the CSI defined in a version before 3GPP R17.

[0012] As an embodiment, the problem to be solved by the present application includes: how to enhance CSI; in the above method, the at least one matrix is ​​dependent on the first CSI and the second CSI, thereby solving this problem.

[0013] As an embodiment, the benefits of the above method include: improving CSI accuracy, reducing reporting overhead, and improving overall system performance.

[0014] As an embodiment, the benefits of the above method include: ensuring that the sender and receiver of the first CSI and the second CSI have a consensus on at least part of the information of the at least one matrix, thereby improving the accuracy of the CSI.

[0015] As an embodiment, the above method has the following benefits: good backward compatibility and reduced implementation complexity.

[0016] As an embodiment, the benefits of the above method include: better flexibility and adaptability to different terminals.

[0017] According to one aspect of the present application, it is characterized in that the first CSI is based on a Type II codebook.

[0018] As an embodiment, the characteristics of the above method include: generating part of the information of the precoding matrix by a method based on Type II codebook, and generating another part of the information of the precoding matrix by a method based on artificial intelligence or machine learning.

[0019] As an embodiment, the benefits of the above method include: improving CSI accuracy and / or reducing reporting overhead, and improving overall system performance.

[0020] As an embodiment, the benefits of the above method include: making full use of the CSI reporting capabilities provided by existing standards and simplifying the design of CSI based on artificial intelligence or machine learning.

[0021] According to one aspect of the present application, it is characterized in that L vectors depend on the first CSI, V coefficient sets depend on the second CSI, and the at least one matrix depends on the L vectors and the V coefficient sets; the L is a positive integer greater than 1, the L is configurable, and the V is a positive integer.

[0022] As an embodiment, the benefits of the above method include: utilizing the design of the Type II codebook in 3GPP R15 and providing better backward compatibility.

[0023] According to one aspect of the present application, it is characterized in that V vector groups depend on at least one of the first CSI and the second CSI, and V is a positive integer; each of the V vector groups includes multiple vectors, and the number of vectors included in each of the V vector groups is configurable; and the at least one matrix depends on the V vector groups.

[0024] As an embodiment, the above method has the following benefits: utilizing the design of Type II codebook in 3GPP R16, further reducing reporting overhead.

[0025] According to one aspect of the present application, it is characterized in that the first vector group set depends on at least one of the first CSI and the second CSI, the number of vector groups in the first vector group set is equal to V, and V is a positive integer; the number of vectors included in each vector group in the first vector group set is equal to Q, and Q is configurable, and Q is a positive integer; the at least one matrix depends on the first vector group set.

[0026] As an embodiment, the benefits of the above method include: better support for CSI for medium / high speed UEs.

[0027] According to one aspect of the present application, it is characterized in that the second CSI depends on a first encoder, and the first encoder is obtained based on training.

[0028] As an embodiment, the characteristics of the above method include: the second CSI is generated by a method based on artificial intelligence or machine learning.

[0029] As an embodiment, the benefits of the above method include: improving CSI accuracy and / or reducing reporting overhead.

[0030] According to one aspect of the present application, it is characterized by comprising:

[0031] receiving a first signaling, where the first signaling triggers a CSI report of a first reporting configuration;

[0032] The first CSI and the second CSI both depend on the first reporting configuration.

[0033] As an embodiment, the benefits of the above method include: good backward compatibility.

[0034] As an embodiment, the benefits of the above method include: more flexible configuration.

[0035] According to one aspect of the present application, it is characterized in that the first node is a user equipment.

[0036] According to one aspect of the present application, it is characterized in that the first node is a relay node.

[0037] The present application discloses a method used in a second node of wireless communication, characterized by comprising:

[0038] Sending RS in a first RS resource set;

[0039] receiving first CSI and second CSI, at least one matrix depending on the first CSI and the second CSI, the at least one matrix being used for precoding;

[0040] The first CSI and the second CSI both rely on channel measurement obtained based on the first RS resource set, the first CSI is based on a codebook, and the second CSI complies with at least one of the following:

[0041] The channel parameters recovered by the second node based on the second CSI are unknown to the sender of the second CSI;

[0042] The generator for generating the second CSI is obtained based on training;

[0043] The second CSI does not belong to the CSI defined in 3GPP R17, nor does it belong to the CSI defined in a version before 3GPP R17.

[0044] According to one aspect of the present application, it is characterized in that the first CSI is based on a Type II codebook.

[0045] According to one aspect of the present application, it is characterized in that L vectors depend on the first CSI, V coefficient sets depend on the second CSI, and the at least one matrix depends on the L vectors and the V coefficient sets; the L is a positive integer greater than 1, the L is configurable, and the V is a positive integer.

[0046] According to one aspect of the present application, it is characterized in that V vector groups depend on at least one of the first CSI and the second CSI, and V is a positive integer; each of the V vector groups includes multiple vectors, and the number of vectors included in each of the V vector groups is configurable; and the at least one matrix depends on the V vector groups.

[0047] According to one aspect of the present application, it is characterized in that the first vector group set depends on at least one of the first CSI and the second CSI, the number of vector groups in the first vector group set is equal to V, and V is a positive integer; the number of vectors included in each vector group in the first vector group set is equal to Q, and Q is configurable, and Q is a positive integer; the at least one matrix depends on the first vector group set.

[0048] According to one aspect of the present application, it is characterized in that the second CSI depends on a first encoder, and the first encoder is obtained based on training.

[0049] According to one aspect of the present application, it is characterized by comprising:

[0050] Sending a first signaling, where the first signaling triggers a CSI report of a first reporting configuration;

[0051] The first CSI and the second CSI both depend on the first reporting configuration.

[0052] According to one aspect of the present application, it is characterized in that the second node is a base station.

[0053] According to one aspect of the present application, it is characterized in that the second node is a user equipment.

[0054] According to one aspect of the present application, it is characterized in that the second node is a relay node.

[0055] The present application discloses a first node used for wireless communication, characterized in that it includes:

[0056] A first receiver receives RS in a first RS resource set;

[0057] A first transmitter transmits a first CSI and a second CSI, at least one matrix depends on the first CSI and the second CSI, and the at least one matrix is ​​used for precoding;

[0058] The first CSI and the second CSI both rely on channel measurement obtained based on the first RS resource set, the first CSI is based on a codebook, and the second CSI complies with at least one of the following:

[0059] A channel parameter restored by a target receiver of the second CSI based on the second CSI is unknown to the first node;

[0060] The generator for generating the second CSI is obtained based on training;

[0061] The second CSI does not belong to the CSI defined in 3GPP R17, nor does it belong to the CSI defined in a version before 3GPP R17.

[0062] The present application discloses a second node used for wireless communication, characterized in that it includes:

[0063] A second transmitter sends RS in a first RS resource set;

[0064] a second receiver receiving a first CSI and a second CSI, at least one matrix depending on the first CSI and the second CSI, the at least one matrix being used for precoding;

[0065] The first CSI and the second CSI both rely on channel measurement obtained based on the first RS resource set, the first CSI is based on a codebook, and the second CSI complies with at least one of the following:

[0066] The channel parameters recovered by the second node based on the second CSI are unknown to the sender of the second CSI;

[0067] The generator for generating the second CSI is obtained based on training;

[0068] The second CSI does not belong to the CSI defined in 3GPP R17, nor does it belong to the CSI defined in a version before 3GPP R17.

[0069] As an embodiment, compared with the traditional solution, this application has the following advantages:

[0070] Improves CSI accuracy, reduces reporting overhead, and improves overall system performance.

[0071] A good balance is achieved between CSI accuracy and reporting overhead.

[0072] Has good backward compatibility.

[0073] Reduces implementation complexity.

[0074] Better flexibility to adapt to different terminals. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments with reference to the following drawings:

[0076] Figure 1 A flowchart of a first RS resource set, a first CSI and a second CSI according to an embodiment of the present application is shown;

[0077] Figure 2 A schematic diagram of a network architecture according to an embodiment of the present application is shown;

[0078] Figure 3 A schematic diagram showing an embodiment of a wireless protocol architecture of a user plane and a control plane according to an embodiment of the present application;

[0079] Figure 4 A schematic diagram showing a first communication device and a second communication device according to an embodiment of the present application is shown;

[0080] Figure 5 shows transmission between a first node and a second node according to an embodiment of the present application;

[0081] Figure 6 A schematic diagram showing that a first CSI according to an embodiment of the present application is based on a Type II codebook;

[0082] Figure 7 A schematic diagram showing at least one matrix, L vectors and a set of coefficients according to an embodiment of the present application is shown;

[0083] Figure 8 A schematic diagram showing at least one matrix and V vector groups according to an embodiment of the present application is shown;

[0084] Fig. 9 A schematic diagram showing at least one matrix and a first vector group set according to an embodiment of the present application is shown;

[0085] Fig.10 A schematic diagram showing at least one matrix according to an embodiment of the present application is shown;

[0086] Fig.11 A schematic diagram showing at least one matrix according to an embodiment of the present application is shown;

[0087] Fig.12 A schematic diagram showing at least one matrix according to an embodiment of the present application is shown;

[0088] Fig.13 A schematic diagram showing at least one matrix according to an embodiment of the present application is shown;

[0089] Fig.14 A schematic diagram showing a second CSI dependent first encoder according to an embodiment of the present application is shown;

[0090] Fig.15 A schematic diagram of a first decoder according to an embodiment of the present application is shown;

[0091] Fig.16 A schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of the present application is shown;

[0092] Fig.17 A schematic diagram showing a first signaling, a first reporting configuration, a first CSI, and a second CSI according to an embodiment of the present application is shown;

[0093] Fig.18 A structural block diagram of a processing device used in a first node according to an embodiment of the present application is shown;

[0094] Fig.19 A structural block diagram of a processing device used in a second node according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0095] The technical solution of the present application will be further described in detail below in conjunction with the accompanying drawings. It should be noted that the embodiments and features in the embodiments of the present application can be arbitrarily combined with each other without conflict. Based on considerations such as performance, flexibility, complexity, overhead, and compatibility, those skilled in the art are motivated to flexibly combine the embodiments in different drawings without conflict, such as but not limited to the attached drawings. Figure 1 The embodiments and appendix Figure 5 -Attached Fig.19 The embodiments in Figure 5 The embodiments and appendix Figure 6 -Attached Fig.19 The embodiments in , etc.

[0096] Example 1

[0097] Embodiment 1 illustrates a flow chart of a first RS resource set, a first CSI, and a second CSI according to an embodiment of the present application, as shown in the attached figure. Figure 1 As shown in the attached Figure 1 In the illustrated 100, each box represents a step. In particular, the order of the steps in the boxes does not represent a specific time sequence between the steps.

[0098] In Embodiment 1, the first node in the present application receives RS in a first RS resource set in step 101; and sends a first CSI and a second CSI in step 102. At least one matrix depends on the first CSI and the second CSI, and the at least one matrix is ​​used for precoding; both the first CSI and the second CSI depend on channel measurement obtained based on the first RS resource set, the first CSI is based on a codebook, and the second CSI meets at least one of the following:

[0099] A channel parameter restored by a target receiver of the second CSI based on the second CSI is unknown to the first node;

[0100] The generator for generating the second CSI is obtained based on training;

[0101] The second CSI does not belong to the CSI defined in 3GPP R17, nor does it belong to the CSI defined in a version before 3GPP R17.

[0102] As an embodiment, the first RS resource set includes at least one RS resource.

[0103] As an embodiment, the first RS resource set is a CSI-RS (Channel state information reference signal) resource set.

[0104] As an embodiment, the first RS resource set is an NZP (non-zero-power) CSI-RS resource set.

[0105] As an embodiment, the first RS resource set is identified by an NZP-CSI-RS-ResourceSetId.

[0106] As an embodiment, the first RS resource set is configured by an NZP-CSI-RS-ResourceSet IE.

[0107] As an embodiment, the first RS resource set includes multiple NZP CSI-RS resource sets.

[0108] As an embodiment, the first RS resource set includes all or part of the NZP CSI-RS resources in each NZP CSI-RS resource set in multiple NZP CSI-RS resource sets.

[0109] As an embodiment, each RS resource in the first RS resource set is a CSI-RS resource.

[0110] As an embodiment, each RS resource in the first RS resource set is an NZP CSI-RS resource.

[0111] As an embodiment, each RS resource in the first RS resource set is configured by a NZP-CSI-RS-Resource IE.

[0112] As an embodiment, each RS resource in the first RS resource set is identified by an NZP-CSI-RS-ResourceId.

[0113] As an embodiment, the first RS resource set is a CSI-SSB resource set.

[0114] As an embodiment, the first RS resource set is configured by a CSI-SSB-ResourceSet IE.

[0115] As an embodiment, the first RS resource set is identified by a CSI-SSB-ResourceSetId.

[0116] As an embodiment, each RS resource in the first RS resource set is a SS / PBCH (Synchronisation Signal / Physical Broadcast Channel) block resource.

[0117] As an embodiment, each RS resource in the first RS resource set is identified by an SSB-Index.

[0118] As an embodiment, the first RS resource set includes at least one CSI-SSB resource set.

[0119] As an embodiment, the first RS resource set includes at least one CSI-SSB resource set and at least one NZP CSI-RS resource set.

[0120] As an embodiment, any RS resource in the first RS resource set is a CSI-RS resource or a SS / PBCH block resource.

[0121] As an embodiment, the first RS resource set is identified by a CSI-ResourceConfigId.

[0122] As an embodiment, each RS resource in the first RS resource set includes at least one port.

[0123] As an embodiment, the port includes an antenna port.

[0124] As an embodiment, the port includes a CSI-RS port.

[0125] As an embodiment, the port includes an antenna port or a CSI-RS port.

[0126] As an embodiment, all RS resources in the first RS resource set belong to the same cell.

[0127] As an embodiment, two RS resources in the first RS resource set belong to different cells.

[0128] As an embodiment, all RS resources in the first RS resource set belong to the same BWP (Bandwidth part).

[0129] As an embodiment, two RS resources in the first RS resource set belong to different BWPs.

[0130] As an embodiment, the first RS resource set includes only one RS resource.

[0131] As an embodiment, the benefits of the above method include: good backward compatibility, reduced reporting overhead, and simplified UE processing.

[0132] As an embodiment, the first RS resource set includes multiple RS resources.

[0133] As a sub-embodiment of the above embodiment, the multiple RS resources have the same number of ports.

[0134] As a sub-embodiment of the above embodiment, the ports with the same index of the multiple RS resources are the same port.

[0135] As an embodiment, the benefits of the above method include: good forward compatibility, better support for enhanced CSI, such as but not limited to channel prediction, CSI for medium / high-speed UEs, CSI for multiple TRPs, CSI for coherent joint transmission of multiple TRPs, etc.

[0136] As an embodiment, the first CSI includes PMI (Precoding Matrix Indicator).

[0137] As an embodiment, the first CSI includes a codebook-based PMI.

[0138] As an embodiment, the first CSI is based on a codebook, which means that the PMI included in the first CSI is a codebook-based PMI.

[0139] As an embodiment, the first CSI is based on a codebook, which means that the first CSI includes all or part of the information of the PMI based on the codebook.

[0140] As an embodiment, the first CSI is based on a codebook, which means that the first CSI includes partial information of a PMI based on a codebook.

[0141] As an embodiment, the first CSI only includes PMI.

[0142] As an embodiment, the first CSI only includes all or part of the information in the codebook-based PMI.

[0143] As an embodiment, the first CSI only includes partial information in the codebook-based PMI.

[0144] As an embodiment, the first CSI includes all or part of the information in the codebook-based PMI, and also includes one or more of CQI (Channel quality indicator), CRI (CSI-RS Resource Indicator), LI (Layer Indicator) or RI (Rank Indicator).

[0145] As an embodiment, the first CSI is based on a Type II codebook.

[0146] As an embodiment, the first CSI is based on a Type I codebook.

[0147] As an embodiment, the codebook refers to a codebook defined in 3GPP NRR (Release) 15, R16 or R17.

[0148] As an embodiment, the codebook refers to the PMI codebook defined in 3GPP NR R15, R16 or R17.

[0149] As an embodiment, the PMI included in the first CSI is generated in accordance with the PMI codebook defined in 3GPP NRR15, R16 or R17.

[0150] As an embodiment, the first CSI includes a portion of the PMI generated in accordance with the PMI codebook defined in 3GPP NR R15, R16 or R17.

[0151] As an embodiment, the first CSI is linear.

[0152] As an embodiment, the second CSI includes information of at least one channel matrix.

[0153] As an embodiment, the second CSI includes amplitude and phase information of elements in at least one channel matrix.

[0154] As an embodiment, the second CSI includes information of at least one eigenvector.

[0155] As an embodiment, the second CSI includes amplitude and phase information of elements in at least one eigenvector.

[0156] As an embodiment, the second CSI includes partial matrix information obtained after matrix decomposition of at least one channel matrix.

[0157] As an embodiment, the second CSI includes information of at least one channel matrix projected onto at least one base matrix.

[0158] As an embodiment, the second CSI is not based on a codebook.

[0159] As an embodiment, the second CSI is non-linear.

[0160] As an embodiment, the second CSI is generated based on artificial intelligence or machine learning methods.

[0161] As an embodiment, the characteristics of the above method include: generating the first CSI using a codebook-based method, generating the second CSI using an artificial intelligence or machine learning-based method, and generating a precoding matrix using the first CSI and the second CSI.

[0162] As an embodiment, the benefits of the above method include: it can obtain the benefits of codebook-based CSI, so that the first node and the second node have a consensus on the understanding of the reported part of the CSI, and it can also obtain the advantages of artificial intelligence or machine learning-based CSI, improve the CSI reporting accuracy and / or reduce the reporting overhead, thereby improving the overall performance of the system.

[0163] As an embodiment, the benefits of the above method include: reduced implementation complexity, better flexibility, and applicability to different terminals.

[0164] As an embodiment, the second CSI includes CSI based on artificial intelligence or machine learning.

[0165] As an embodiment, the second CSI includes compressed CSI.

[0166] As an embodiment, the second CSI includes CSI based on a neural network (Neural Network).

[0167] As an embodiment, the second CSI includes CSI based on CNN (Conventional Neural Networks).

[0168] As an embodiment, the second CSI complies with: a channel parameter recovered by a target receiver of the second CSI based on the second CSI is unknown to the first node.

[0169] As an embodiment, the second CSI complies with: the channel parameters recovered by the first node based on the second CSI are unknown to the target receiver of the second CSI.

[0170] As an embodiment, the second CSI complies with: a generator for generating the second CSI is obtained based on training.

[0171] As an embodiment, the second CSI meets the following requirements: the second CSI does not belong to the CSI defined in 3GPP R17, nor does it belong to the CSI defined in a version before 3GPP R17.

[0172] As an embodiment, the second CSI meets the following requirements: a channel parameter recovered by a target receiver of the second CSI based on the second CSI is unknown to the first node, a generator for generating the second CSI is obtained based on training, and the second CSI does not belong to the CSI defined in 3GPP R17, nor does it belong to the CSI defined in a version before 3GPP R17.

[0173] As an embodiment, the second CSI complies with: a channel parameter recovered by a target receiver of the second CSI based on the second CSI is unknown to the first node, and a generator for generating the second CSI is obtained based on training.

[0174] As an embodiment, the second CSI meets the following conditions: a generator for generating the second CSI is obtained based on training, and the second CSI does not belong to the CSI defined in 3GPP R17, nor does it belong to the CSI defined in a version before 3GPP R17.

[0175] As an embodiment, the second CSI meets the following requirements: a channel parameter recovered by a target receiver of the second CSI based on the second CSI is unknown to the first node, a channel parameter recovered by the first node based on the second CSI is unknown to the target receiver of the second CSI, a generator for generating the second CSI is obtained based on training; and the second CSI does not belong to the CSI defined in 3GPP R17, nor does it belong to the CSI defined in versions before 3GPP R17.

[0176] As an embodiment, the generator of the restored channel parameters is obtained based on training.

[0177] As an embodiment, the recovered channel parameters include a channel matrix.

[0178] As an embodiment, the recovered channel parameters include the original channel matrix.

[0179] As an embodiment, any element in the original channel matrix includes information about a channel experienced by an RS transmitted on a port in the first RS resource set on a frequency unit.

[0180] As a sub-embodiment of the above embodiment, the frequency unit is a sub-band.

[0181] As a sub-embodiment of the above embodiment, the frequency unit is a PRB (Physical Resource block).

[0182] As a sub-embodiment of the above embodiment, the frequency unit is composed of multiple continuous PRBs.

[0183] As a sub-embodiment of the above embodiment, the frequency unit is a subcarrier.

[0184] As a sub-embodiment of the above embodiment, the frequency unit is composed of a plurality of continuous sub-carriers.

[0185] As an embodiment, the recovered channel parameters include a characteristic vector.

[0186] As an embodiment, the recovered channel parameters include characteristic values.

[0187] As an embodiment, the recovered channel parameters include a precoding matrix.

[0188] As an embodiment, the recovered channel parameters include one or more of a relative phase, a relative amplitude, or a relative coefficient between at least two ports.

[0189] As an embodiment, the calculation of the second CSI is based on the first CSI.

[0190] As an embodiment, the second CSI is calculated based on the first CSI.

[0191] As an embodiment, the first node obtains channel measurement for calculating the first CSI and the second CSI based on the first RS resource set.

[0192] As an embodiment, the first node obtains channel measurement for calculating the first CSI and the second CSI based only on the first RS resource set.

[0193] As an embodiment, the first node obtains channel measurement for calculating the first CSI and the second CSI based on each RS resource in the first RS resource set.

[0194] As an embodiment, the first node obtains channel measurement for calculating the first CSI and the second CSI based only on part of RS resources in the first RS resource set.

[0195] As an embodiment, the first CSI indicates the portion of RS resources.

[0196] As an embodiment, the first CSI indicates the portion of RS resources from the first RS resource set.

[0197] As an embodiment, the first CSI includes a first bit map, each bit in the first bit map corresponds to an RS resource in the first RS resource set, and each bit in the first bit map indicates whether the RS resource corresponding to this bit is one of the partial RS resources.

[0198] As a sub-embodiment of the above embodiment, for each bit in the first bit map, if this bit is equal to 1, the RS resource corresponding to this bit is one of the partial RS resources; if this bit is equal to 0, the RS resource corresponding to this bit does not belong to the partial RS resources.

[0199] As an embodiment, the first node obtains channel measurement for calculating the first CSI and the second CSI only based on a transmission occasion of a CSI reference resource of the first RS resource set that is no later than the first CSI.

[0200] As an embodiment, the first node obtains a channel measurement for calculating the first CSI based on a transmission opportunity of a CSI reference resource of the first RS resource set that is no later than the first CSI, and the first node obtains a channel measurement for calculating the second CSI based on a transmission opportunity of a CSI reference resource of the first RS resource set that is no later than the second CSI; the time domain resources occupied by the CSI reference resources of the first CSI and the CSI reference resources of the second CSI do not overlap.

[0201] As an embodiment, the definition of the CSI reference resource refers to 3GPP TS38.214.

[0202] As an embodiment, the first node obtains channel measurement for calculating the first CSI based on each RS resource in the first RS resource set, and the first node obtains channel measurement for calculating the second CSI based only on part of the RS resources in the first RS resource set.

[0203] As an embodiment, only part of the at least one matrix depends on the first CSI and the second CSI.

[0204] As an embodiment, each matrix of the at least one matrix depends on the first CSI and the second CSI.

[0205] As an embodiment, the first CSI and the second CSI are used to determine the at least one matrix.

[0206] As an embodiment, the first CSI and the second CSI are used to generate the at least one matrix.

[0207] As an embodiment, the first CSI and the second CSI are used to generate each matrix in the at least one matrix.

[0208] As an embodiment, the first CSI and the second CSI carry information used to generate the at least one matrix.

[0209] As an embodiment, the target receiver of the first CSI and the second CSI can recover the at least one matrix from the first CSI and the second CSI.

[0210] As an embodiment, the target receiver of the first CSI and the second CSI can unambiguously recover the at least one matrix from the first CSI and the second CSI.

[0211] As an embodiment, the target recipient of the first CSI is the target recipient of the second CSI.

[0212] As an embodiment, the first node can recover the at least one matrix from the first CSI and the second CSI.

[0213] As an embodiment, the first node can unambiguously recover the at least one matrix from the first CSI and the second CSI.

[0214] As an embodiment, the at least one matrix recovered from the first CSI and the second CSI by the target receiver of the first CSI and the second CSI is unknown to the first node.

[0215] As an embodiment, the at least one matrix recovered by the first node from the first CSI and the second CSI is unknown to target receivers of the first CSI and the second CSI.

[0216] As an embodiment, the at least one matrix includes only one matrix.

[0217] As an embodiment, the at least one matrix includes a plurality of matrices.

[0218] As an embodiment, each matrix of the at least one matrix is ​​used for precoding.

[0219] As an embodiment, each matrix in the at least one matrix is ​​a precoding matrix.

[0220] As an embodiment, the at least one matrix is ​​used to generate at least one precoding matrix.

[0221] As an embodiment, the at least one matrix carries precoding information.

[0222] As an embodiment, the at least one matrix is ​​used for precoding, which means that each matrix in the at least one matrix is ​​a precoding matrix.

[0223] As an embodiment, the at least one matrix is ​​used for precoding, which means that the at least one matrix is ​​used to generate at least one precoding matrix.

[0224] As an embodiment, the at least one matrix is ​​used for precoding, which means that the at least one matrix carries precoding information.

[0225] As an embodiment, the frequency domain resources related to (relate to) the at least one matrix are W subbands, where W is a positive integer.

[0226] As an embodiment, the frequency domain resources related to (related to) the first CSI and the frequency domain resources related to the second CSI are the same.

[0227] As an embodiment, the frequency domain resources involved in the first CSI are W sub-bands, and the frequency domain resources involved in the second CSI are the W sub-bands, where W is a positive integer.

[0228] As an embodiment, the first CSI and the second CSI have the same CSI reference resource.

[0229] As an embodiment, the first CSI and the second CSI have different CSI reference resources.

[0230] As an embodiment, the W subbands are configured by higher layer parameters.

[0231] As an embodiment, the W subbands are configured by a higher layer parameter 'reportFreqConfiguration'.

[0232] As an embodiment, the W subbands are configured by a higher layer parameter 'csi-ReportingBand'.

[0233] As an embodiment, W is equal to 1.

[0234] As an embodiment, W is greater than 1.

[0235] As an embodiment, the first CSI and the second CSI include CSI reported for all or part of the W subbands.

[0236] As an embodiment, the first CSI and the second CSI include CSI reported for each subband of the W subbands.

[0237] As an embodiment, a subband includes one or more PRBs (Physical Resource blocks) that are continuous in the frequency domain.

[0238] As an embodiment, except for the subband located at the edge of the BWP, the number of PRBs included in other subbands is the same.

[0239] As an embodiment, except for the subband located at the edge of the BWP, the number of PRBs included in any subband is P1, and P1 is a positive integer greater than 1.

[0240] As an embodiment, P1 is a positive integer multiple of 4.

[0241] As an embodiment, the P1 is indicated by higher layer signaling.

[0242] As an embodiment, the P1 is related to the number of PRBs included in the BWP.

[0243] As an embodiment, the number of PRBs included in the starting subband in a BWP is P1-(Ns mod P1); the number of PRBs included in the last subband in a BWP is (Ns+Nw) mod P1 or P1, where Ns is the index of the starting PRB in the BWP, and Nw is the number of PRBs included in the BWP.

[0244] As an embodiment, the subcarrier spacing corresponding to a PRB or a subband is fixed.

[0245] As an embodiment, the subcarrier spacing corresponding to a PRB or a subband varies with the frequency range to which it belongs.

[0246] As an embodiment, any two matrices in the at least one matrix have the same number of rows and the same number of columns.

[0247] As an embodiment, the number of rows of one matrix in the at least one matrix is ​​equal to the number of first ports.

[0248] As an embodiment, the number of rows of each matrix in the at least one matrix is ​​equal to the number of first ports.

[0249] As an embodiment, the first number of ports is equal to the number of ports of an RS resource in the first RS resource set.

[0250] As an embodiment, the first number of ports is equal to the sum of the number of ports of all RS resources in the first RS resource opportunity.

[0251] As an embodiment, the first number of ports is equal to the sum of the number of ports of some RS resources in the first RS resource opportunity.

[0252] As an embodiment, the number of columns of one matrix in the at least one matrix is ​​equal to V, and V is a number of layers.

[0253] As an embodiment, the number of columns of each matrix in the at least one matrix is ​​equal to V, where V is a layer number.

[0254] As an embodiment, the V columns of any matrix in the at least one matrix are respectively precoding vectors of V layers, and V is the number of columns of this matrix.

[0255] As an embodiment, the number of layers refers to: transmission rank.

[0256] As an embodiment, the layer refers to: a MIMO (Multiple Input Multiple Output) layer.

[0257] As an embodiment, the layer refers to: a transmission layer.

[0258] As an embodiment, the first CSI indicates the V.

[0259] As an embodiment, the RI (Rank Indicator) included in the first CSI indicates the V.

[0260] As an embodiment, the V is configured by a higher layer parameter.

[0261] As an embodiment, V is equal to 1.

[0262] As an embodiment, V is greater than 1.

[0263] As an embodiment, the candidates for V are configured by higher-layer parameters.

[0264] As an embodiment, the candidate of V is configured by a higher layer parameter 'RI-Restriction' or 'typeII-RI-Restriction'.

[0265] As an embodiment, the at least one matrix includes W matrices, and the W matrices are respectively used for precoding for the W subbands.

[0266] As a sub-embodiment of the above embodiment, the W matrices are precoding matrices for the W subbands respectively.

[0267] As an embodiment, the at least one matrix includes N3 matrices, and the N3 matrices are respectively used for precoding of N3 PRB groups, one PRB group includes multiple consecutive PRBs, and the N3 depends on the W.

[0268] As a sub-embodiment of the above embodiment, the N3 matrices are precoding matrices for the N3 PRB groups respectively.

[0269] As an embodiment, each of the N3 PRB groups consists of all or part of the PRBs in one of the W subbands.

[0270] As an embodiment, the N3 is not greater than the product of R and the W, and the R is configurable.

[0271] As an embodiment, N3 is equal to the product of R and W, or equal to the product of R and W minus 1, or equal to the product of R and W minus 2.

[0272] As an embodiment, R is equal to 1 or 2.

[0273] As an embodiment, the R is configured by a higher layer parameter 'numberOfPMI-SubbandsPerCQI-Subband'.

[0274] As an embodiment, each of the N3 PRB groups is a PMI subband.

[0275] As an embodiment, the N3 is the number of PMI subbands (PMIsubband) involved in the first CSI and the second CSI.

[0276] As an example, each of the W subbands is a CQI subband.

[0277] As an example, except for the subbands located at the edge of the BWP, each of the other W subbands includes R of the N3 PRB groups.

[0278] As an example, except for the PRB groups located at the edge of the BWP, the number of PRBs included in each of the other N3 PRB groups is the same.

[0279] As an example, except for the PRB groups located at the edge of the BWP, the number of PRBs included in each of the other N3 PRB groups is equal to P1 divided by R.

[0280] As an example, when R is equal to 1, N3 is equal to W, and the N3 PRB groups are respectively the W subbands.

[0281] As an example, when R is equal to 2, for each of the W subbands not located at the edge of the BWP, the first P1 / 2 PRBs and the last P1 / 2 PRBs in this subband respectively form two of the N3 PRB groups.

[0282] As an example, when R is equal to 2 and the W subbands include the first subband in a BWP, if (Ns mod P1) ≥ P1 / 2, the first subband forms one of the N3 PRB groups; if (Ns mod P1) < P1 / 2, the first P1 / 2 - (N s mod P1) PRBs and the last P1 / 2 PRBs in the first subband respectively form two of the N3 PRB groups; Ns is the index of the starting PRB of the BWP.

[0283] As an example, when R is equal to 2 and the W subbands include the last subband in a BWP, if 1 + (Ns + Nw - 1) mod P1 ≤ P1 / 2, the last subband forms one of the N3 PRB groups; if 1 + (Ns + Nw - 1) mod P1 > P1 / 2, the first P1 / 2 PRBs and the last 1 + (Ns + Nw - 1) mod P1 - P1 / 2 PRBs in the last subband respectively form two of the N3 PRB groups; Ns is the index of the starting PRB of the BWP, and Nw is the number of PRBs included in the BWP.

[0284] As an embodiment, the PRBs in a subband or BWP are arranged in ascending order according to the PRB index (PRB number).

[0285] As an embodiment, the PRB index is n in 3GPP TS 38.211. PRB .

[0286] As an embodiment, the PRBs in a sub-band or BWP are arranged in order from low to high frequencies of the occupied frequency domain resources.

[0287] As an embodiment, the V columns of any matrix in the at least one matrix are respectively precoding vectors for V layers of a PRB group, and V is the number of columns of this matrix.

[0288] As an embodiment, the matrix in the present application includes a vector.

[0289] As an embodiment, L vectors depend on at least one of the first CSI or the second CSI, and L is a positive integer greater than 1, and L is configurable.

[0290] As an embodiment, the L vectors depend on only the first CSI out of the first CSI and the second CSI.

[0291] As an embodiment, the L vectors depend on only the second CSI out of the first CSI and the second CSI.

[0292] As an embodiment, the L vectors respectively represent L beams.

[0293] As an embodiment, the dimensions of any two vectors in the L vectors are equal to the number of ports of an RS resource in the first RS resource set.

[0294] As an embodiment, the L vectors include K vector groups, each of the K vector groups is composed of some vectors in the L vectors, and K is a positive integer greater than 1 and not greater than the number of RS resources included in the first RS resource set.

[0295] As an embodiment, the number of vectors included in each of the K vector groups is configurable.

[0296] As an embodiment, the K vector groups are respectively for K RS resources, and each RS resource in the K RS resources is an RS resource in the first RS resource set.

[0297] As an embodiment, the first CSI indicates the L vectors.

[0298] As an embodiment, the second CSI indicates the L vectors.

[0299] As an embodiment, V vector groups depend on at least one of the first CSI or the second CSI, and each of the V vector groups includes multiple vectors; the number of vectors included in each of the V vector groups is configurable.

[0300] As an embodiment, the number of vectors included in each of the V vector groups depends on the W.

[0301] As an embodiment, the V vector groups are respectively for V layers.

[0302] As an embodiment, the V vector groups respectively include frequency domain basis vectors for V layers.

[0303] As an embodiment, each of the V vector groups includes K vector sub-groups, each of the K vector sub-groups is composed of partial vectors in the vector group to which it belongs, and K is a positive integer greater than 1 and not greater than the number of RS resources included in the first RS resource set.

[0304] As an embodiment, the number of vectors included in any vector subgroup in any vector group in the V vector groups is configurable.

[0305] As an embodiment, the number of vectors included in any vector subgroup in any vector group of the V vector groups depends on W.

[0306] As an embodiment, the first vector group set depends on at least one of the first CSI or the second CSI, the number of vector groups in the first vector group set is equal to V, the number of vectors included in each vector group in the first vector group set is equal to Q, and Q is configurable and is a positive integer.

[0307] As an embodiment, any vector in the first vector group set represents a Doppler shift.

[0308] As an embodiment, the V vector groups in the first vector group set are respectively for V layers.

[0309] As an embodiment, V coefficient sets depend on at least one of the first CSI or the second CSI, and each coefficient in the V coefficient sets is a complex number.

[0310] As an embodiment, the V coefficient sets include at least one coefficient that is 0 and at least one non-zero coefficient.

[0311] As an embodiment, any coefficient in the V coefficient sets is a non-zero complex number.

[0312] As an embodiment, the V coefficient sets correspond to V layers respectively.

[0313] As an embodiment, the V coefficient sets respectively include merging coefficients corresponding to V layers.

[0314] As an embodiment, the first CSI and the second CSI are used to determine the L vectors and the V coefficient sets.

[0315] As an embodiment, the first CSI and the second CSI are used to determine the L vectors, the V vector groups and the V coefficient sets.

[0316] As an embodiment, the first CSI and the second CSI are used to determine the L vectors, the first vector group set and the V coefficient sets.

[0317] As an embodiment, the at least one matrix depends on the L vectors and the V coefficient sets.

[0318] As an embodiment, the at least one matrix depends on the L vectors, the V vector groups and the V coefficient sets.

[0319] As an embodiment, the at least one matrix depends on the L vectors, the V vector groups, the first vector group set and the V coefficient sets.

[0320] As an embodiment, the at least one matrix is ​​obtained by performing mathematical operations on the L vectors and the V coefficient sets.

[0321] As an embodiment, the at least one matrix is ​​obtained by performing mathematical operations on the L vectors, the V vector groups and the V coefficient sets.

[0322] As an embodiment, the at least one matrix is ​​obtained by performing mathematical operations on the L vectors, the V vector groups, the first vector group set and the V coefficient sets.

[0323] As an embodiment, the mathematical operation includes a linear operation.

[0324] As an embodiment, the mathematical operation includes a non-linear operation.

[0325] As an embodiment, the mathematical operation includes weighting and combining.

[0326] As an embodiment, the merging includes linear merging.

[0327] As an embodiment, the merging includes non-linear merging.

[0328] As an embodiment, the mathematical operation includes a matrix operation.

[0329] As an embodiment, the matrix operation includes matrix multiplication and / or matrix addition.

[0330] As an embodiment, the matrix operation includes cascading.

[0331] As an embodiment, the matrix operation includes a dot product.

[0332] As an embodiment, the matrix operation includes array multiplication, that is, multiplying elements at the same position in two matrices of the same dimension.

[0333] As an embodiment, the matrix operation includes transposition and conjugation.

[0334] As an embodiment, the matrix operation includes Kronecker product.

[0335] As an embodiment, the matrix operation includes projection.

[0336] Example 2

[0337] Embodiment 2 illustrates a schematic diagram of a network architecture according to an embodiment of the present application, as shown in the attached Figure 2 shown.

[0338] Attached Figure 2The network architecture 200 of LTE (Long-Term Evolution), LTE-A (Long-Term Evolution Advanced) and future 5G systems is illustrated. The network architecture 200 of LTE, LTE-A and future 5G systems is called EPS (Evolved Packet System) 200. The 5GNR or LTE network architecture 200 may be referred to as 5GS (5G System) / EPS (Evolved Packet System) 200 or some other suitable terminology. 5GS / EPS200 may include one or more UEs (User Equipment) 201, a UE 241 communicating with UE 201 via a sidelink, NG-RAN (Next Generation Radio Access Network) 202, 5GC (5G Core Network) / EPC (Evolved Packet Core) 210, HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and Internet service 230. 5GS / EPS200 may be interconnected with other access networks, but these entities / interfaces are not shown for simplicity. Figure 2As shown, 5GS / EPS200 provides packet switching services, however, those skilled in the art will readily appreciate that the various concepts presented throughout this application can be extended to networks that provide circuit switching services. NG-RAN202 includes NR (New Radio) Node B (gNB) 203 and other gNBs204. gNB203 provides user and control plane protocol terminations toward UE201. gNB203 can be connected to other gNBs204 via an Xn interface (e.g., backhaul). gNB203 may also be referred to as a base station, a base transceiver station, a radio base station, a radio transceiver, a transceiver function, a basic service set (BSS), an extended service set (ESS), a TRP (transmit receive point), or some other suitable term. gNB203 provides an access point to 5GC / EPC210 for UE201. Examples of UE 201 include cellular phones, smart phones, session initiation protocol (SIP) phones, laptop computers, personal digital assistants (PDAs), satellite radios, global positioning systems, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, drones, aircraft, narrowband physical network devices, machine type communication devices, land vehicles, cars, wearable devices, or any other similar functional devices. Those skilled in the art may also refer to UE 201 as a mobile station, a subscriber station, a mobile unit, a subscriber unit, a wireless unit, a remote unit, a mobile device, a wireless device, a wireless communication device, a remote device, a mobile subscriber station, an access terminal, a mobile terminal, a wireless terminal, a remote terminal, a handset, a user agent, a mobile client, a client, or some other suitable term. gNB203 is connected to 5GC / EPC210 via S1 / NG interface. 5GC / EPC210 includes MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MME / AMF / SMF214, S-GW (Service Gateway) / UPF (User Plane Function) 212, and P-GW (Packet Data Network Gateway) / UPF213. MME / AMF / SMF211 is a control node that handles signaling between UE201 and 5GC / EPC210. ​​In general, MME / AMF / SMF211 provides bearer and connection management.All user IP (Internet Protocol) packets are transmitted through S-GW / UPF212, which is itself connected to P-GW / UPF213. P-GW provides UE IP address allocation and other functions. P-GW / UPF213 is connected to Internet service 230. Internet service 230 includes operator-corresponding Internet protocol services, which may specifically include Internet, Intranet, IMS (IP Multimedia Subsystem) and Packet switching services.

[0339] As an embodiment, the UE201 corresponds to the first node in the present application.

[0340] As an embodiment, the gNB203 corresponds to the second node in this application.

[0341] As an embodiment, the wireless link between the UE201 and the gNB203 includes a cellular network link.

[0342] As an embodiment, the sender of the RS in the first RS resource set includes the gNB203.

[0343] As an embodiment, the receiver of the RS in the first RS resource set includes the UE201.

[0344] As an embodiment, the sender of the first CSI and the second CSI includes the UE201.

[0345] As an embodiment, the receivers of the first CSI and the second CSI include the gNB203.

[0346] As an embodiment, the UE 201 supports generating and reporting CSI using the 3GPP Type II codebook.

[0347] As an embodiment, the gNB203 supports recovery of CSI based on the 3GPP Type II codebook.

[0348] As an embodiment, the UE 201 supports generating CSI reports using AI and / or ML.

[0349] As an embodiment, the UE 201 supports generating a trained model using training data or generating part of parameters in the trained model using trained data.

[0350] As an embodiment, the UE201 supports generating a trained model using training data and generating CSI using the model.

[0351] As an embodiment, the gNB203 supports recovery of CSI based on AI or deep learning.

[0352] Example 3

[0353] Embodiment 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture of a user plane and a control plane according to an embodiment of the present application, as shown in the attached figure. Figure 3 shown.

[0354] Embodiment 3 shows a schematic diagram of an embodiment of a wireless protocol architecture of a user plane and a control plane according to the present application, as shown in the attached Figure 3 shown. Figure 3 is a schematic diagram illustrating an embodiment of a radio protocol architecture for a user plane 350 and a control plane 300, Figure 3The radio protocol architecture of the control plane 300 between a first communication node device (UE, gNB or RSU in V2X) and a second communication node device (gNB, UE or RSU in V2X), or between two UEs is shown with three layers: Layer 1, Layer 2 and Layer 3. Layer 1 (L1 layer) is the lowest layer and implements various PHY (physical layer) signal processing functions. The L1 layer will be referred to as PHY301 in this article. Layer 2 (L2 layer) 305 is above PHY301 and is responsible for the link between the first communication node device and the second communication node device, or between two UEs. The L2 layer 305 includes a MAC (Medium Access Control) sublayer 302, an RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate at the second communication node device. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. The PDCP sublayer 304 also provides security by encrypting data packets, and provides support for inter-zone mobility of the first communication node device between the second communication node device. The RLC sublayer 303 provides segmentation and reassembly of upper layer data packets, retransmission of lost data packets, and reordering of data packets to compensate for out-of-order reception due to HARQ. The MAC sublayer 302 provides multiplexing between logical and transport channels. The MAC sublayer 302 is also responsible for allocating various radio resources (e.g., resource blocks) in a cell between the first communication node devices. The MAC sublayer 302 is also responsible for HARQ operations. The RRC (Radio Resource Control) sublayer 306 in layer 3 (L3 layer) in the control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and configuring the lower layer using RRC signaling between the second communication node device and the first communication node device. The radio protocol architecture of the user plane 350 includes layer 1 (L1 layer) and layer 2 (L2 layer). The radio protocol architecture used for the first communication node device and the second communication node device in the user plane 350 is substantially the same as the corresponding layers and sublayers in the control plane 300 for the physical layer 351, the PDCP sublayer 354 in the L2 layer 355, the RLC sublayer 353 in the L2 layer 355, and the MAC sublayer 352 in the L2 layer 355, but the PDCP sublayer 354 also provides header compression for upper layer data packets to reduce radio transmission overhead.The L2 layer 355 in the user plane 350 also includes a SDAP (Service Data Adaptation Protocol) sublayer 356, which is responsible for mapping between QoS flows and data radio bearers (DRBs) to support the diversity of services. Although not shown in the figure, the first communication node device may have several upper layers above the L2 layer 355, including a network layer (e.g., an IP layer) terminated at the P-GW on the network side and an application layer terminated at the other end of the connection (e.g., a remote UE, a server, etc.).

[0355] As an example, Figure 3 The wireless protocol architecture in is applicable to the first node in this application.

[0356] As an example, Figure 3 The wireless protocol architecture in is applicable to the second node in this application.

[0357] As an embodiment, the RS in the first RS resource set is generated in the PHY301 or the PHY351.

[0358] As an embodiment, the first CSI is generated by the PHY301 or the PHY351.

[0359] As an embodiment, the second CSI is generated by the PHY301 or the PHY351.

[0360] As an embodiment, the higher layer in the present application refers to a layer above the physical layer.

[0361] Example 4

[0362] Embodiment 4 illustrates a schematic diagram of a first communication device and a second communication device according to an embodiment of the present application, as shown in the attached figure. Figure 4 Attached Figure 4 is a block diagram of a first communication device 410 and a second communication device 450 communicating with each other in an access network.

[0363] The first communication device 410 includes a controller / processor 475 , a memory 476 , a receive processor 470 , a transmit processor 416 , a multi-antenna receive processor 472 , a multi-antenna transmit processor 471 , a transmitter / receiver 418 and an antenna 420 .

[0364] The second communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmit processor 468, a receive processor 456, a multi-antenna transmit processor 457, a multi-antenna receive processor 458, a transmitter / receiver 454 and an antenna 452.

[0365] In transmission from the first communication device 410 to the second communication device 450, at the first communication device 410, upper layer data packets from the core network are provided to the controller / processor 475. The controller / processor 475 implements the functionality of the L2 layer. In the DL, the controller / processor 475 provides header compression, encryption, packet segmentation and reordering, multiplexing between logical and transport channels, and allocation of radio resources to the second communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the second communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for the L1 layer (i.e., the physical layer). The transmit processor 416 implements coding and interleaving to facilitate forward error correction (FEC) at the second communication device 450, as well as constellation mapping based on various modulation schemes (e.g., binary phase shift keying (BPSK), quadrature phase shift keying (QPSK), M-phase shift keying (M-PSK), M-quadrature amplitude modulation (M-QAM)). The multi-antenna transmit processor 471 performs digital spatial precoding, including codebook-based precoding and non-codebook-based precoding, and beamforming processing on the coded and modulated symbols to generate one or more parallel streams. The transmit processor 416 then maps each parallel stream to a subcarrier, multiplexes the modulated symbols with a reference signal (e.g., a pilot) in the time domain and / or frequency domain, and then uses an inverse fast Fourier transform (IFFT) to generate a physical channel carrying a time-domain multi-carrier symbol stream. The multi-antenna transmit processor 471 then performs a transmit analog precoding / beamforming operation on the time-domain multi-carrier symbol stream. Each transmitter 418 converts the baseband multi-carrier symbol stream provided by the multi-antenna transmit processor 471 into a radio frequency stream, and then provides it to a different antenna 420.

[0366] In the transmission from the first communication device 410 to the second communication device 450, at the second communication device 450, each receiver 454 receives a signal through its corresponding antenna 452. Each receiver 454 recovers the information modulated onto the RF carrier and converts the RF stream into a baseband multi-carrier symbol stream and provides it to the receiving processor 456. The receiving processor 456 and the multi-antenna receiving processor 458 implement various signal processing functions of the L1 layer. The multi-antenna receiving processor 458 performs a receiving analog precoding / beamforming operation on the baseband multi-carrier symbol stream from the receiver 454. The receiving processor 456 uses a fast Fourier transform (FFT) to convert the baseband multi-carrier symbol stream after the receiving analog precoding / beamforming operation from the time domain to the frequency domain. In the frequency domain, the physical layer data signal and the reference signal are demultiplexed by the receiving processor 456, wherein the reference signal will be used for channel estimation, and the data signal is recovered after multi-antenna detection in the multi-antenna receiving processor 458 to any parallel stream destined for the second communication device 450. The symbols on each parallel stream are demodulated and recovered in the receiving processor 456, and soft decisions are generated. The receiving processor 456 then decodes and deinterleaves the soft decisions to recover the upper layer data and control signals transmitted by the first communication device 410 on the physical channel. The upper layer data and control signals are then provided to the controller / processor 459. The controller / processor 459 implements the functions of the L2 layer. The controller / processor 459 may be associated with a memory 460 storing program codes and data. The memory 460 may be referred to as a computer-readable medium. In DL, the controller / processor 459 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transmission and logical channels to recover the upper layer data packets from the core network. The upper layer data packets are then provided to all protocol layers above the L2 layer. Various control signals may also be provided to L3 for L3 processing. The controller / processor 459 is also responsible for error detection using confirmation (ACK) and / or negative confirmation (NACK) protocols to support HARQ operations.

[0367] In the transmission from the second communication device 450 to the first communication device 410, at the second communication device 450, a data source 467 is used to provide upper layer data packets to the controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmission function at the first communication device 410 described in DL, the controller / processor 459 implements header compression, encryption, packet segmentation and reordering, and multiplexing between logical and transport channels based on the radio resource allocation of the first communication device 410, and implements L2 layer functions for the user plane and the control plane. The controller / processor 459 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the first communication device 410. The transmit processor 468 performs modulation mapping and channel coding processing, and the multi-antenna transmit processor 457 performs digital multi-antenna spatial precoding, including codebook-based precoding and non-codebook-based precoding, and beamforming processing. Then, the transmit processor 468 modulates the generated parallel stream into a multi-carrier / single-carrier symbol stream, which is then provided to different antennas 452 via the transmitter 454 after analog precoding / beamforming operations in the multi-antenna transmit processor 457. Each transmitter 454 first converts the baseband symbol stream provided by the multi-antenna transmit processor 457 into a radio frequency symbol stream, and then provides it to the antenna 452.

[0368] In the transmission from the second communication device 450 to the first communication device 410, the function at the first communication device 410 is similar to the reception function at the second communication device 450 described in the transmission from the first communication device 410 to the second communication device 450. Each receiver 418 receives a radio frequency signal through its corresponding antenna 420, converts the received radio frequency signal into a baseband signal, and provides the baseband signal to the multi-antenna reception processor 472 and the reception processor 470. The reception processor 470 and the multi-antenna reception processor 472 jointly implement the functions of the L1 layer. The controller / processor 475 implements the L2 layer functions. The controller / processor 475 can be associated with a memory 476 that stores program codes and data. The memory 476 can be referred to as a computer-readable medium. The controller / processor 475 provides demultiplexing between transmission and logical channels, packet reassembly, decryption, header decompression, control signal processing to recover the upper layer data packets from the second communication device 450. The upper layer data packets from the controller / processor 475 can be provided to the core network. The controller / processor 475 is also responsible for error detection using an ACK and / or NACK protocol to support HARQ operations.

[0369] As an embodiment, the second communication device 450 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used together with the at least one processor. The second communication device 450 device receives RS in at least the first RS resource set; sends the first CSI and the second CSI. At least one matrix depends on the first CSI and the second CSI, and the at least one matrix is ​​used for precoding; the first CSI and the second CSI both depend on channel measurements obtained based on the first RS resource set, the first CSI is based on a codebook, and the second CSI conforms to at least one of the following:

[0370] A channel parameter restored by a target receiver of the second CSI based on the second CSI is unknown to the first node;

[0371] The generator for generating the second CSI is obtained based on training;

[0372] The second CSI does not belong to the CSI defined in 3GPP R17, nor does it belong to the CSI defined in a version before 3GPP R17.

[0373] As an embodiment, the second communication device 450 includes: a memory storing a computer-readable instruction program, wherein the computer-readable instruction program generates actions when executed by at least one processor, and the actions include: receiving RS in the first RS resource set; sending the first CSI and the second CSI.

[0374] As an embodiment, the first communication device 410 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used together with the at least one processor. The first communication device 410 device sends RS in at least the first RS resource set; receives the first CSI and the second CSI. At least one matrix depends on the first CSI and the second CSI, and the at least one matrix is ​​used for precoding; the first CSI and the second CSI both depend on channel measurements obtained based on the first RS resource set, the first CSI is based on a codebook, and the second CSI conforms to at least one of the following:

[0375] The channel parameters recovered by the second node based on the second CSI are unknown to the sender of the second CSI;

[0376] The generator for generating the second CSI is obtained based on training;

[0377] The second CSI does not belong to the CSI defined in 3GPP R17, nor does it belong to the CSI defined in a version before 3GPP R17.

[0378] As an embodiment, the first communication device 410 includes: a memory storing a computer-readable instruction program, wherein the computer-readable instruction program generates actions when executed by at least one processor, and the actions include: sending RS in the first RS resource set; receiving the first CSI and the second CSI.

[0379] As an embodiment, the first node in the present application includes the second communication device 450.

[0380] As an embodiment, the second node in the present application includes the first communication device 410.

[0381] As an embodiment, at least one of {the antenna 452, the receiver 454, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive RS in the first RS resource set; at least one of {the antenna 420, the transmitter 418, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, and the memory 476} is used to send RS in the first RS resource set.

[0382] As an embodiment, at least one of {the antenna 420, the receiver 418, the receive processor 470, the multi-antenna receive processor 472, the controller / processor 475, and the memory 476} is used to receive the first CSI and the second CSI; and at least one of {the antenna 452, the transmitter 454, the transmit processor 468, the multi-antenna transmit processor 457, the controller / processor 459, the memory 460, and the data source 467} is used to send the first CSI and the second CSI.

[0383] As an embodiment, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first signaling; and at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to send the first signaling.

[0384] Example 5

[0385] Embodiment 5 illustrates a flow chart of transmission according to an embodiment of the present application; Figure 5 As shown in the attached Figure 5 In the embodiment, the second node U1 and the first node U2 are communication nodes transmitted via the air interface. Figure 5 , the steps in box F51 are optional.

[0386] For the second node U1, a first signaling is sent in step S5101; an RS is sent in a first RS resource set in step S511; and a first CSI and a second CSI are received in step S512.

[0387] For the first node U2, a first signaling is received in step S5201; an RS is received in a first RS resource set in step S521; and a first CSI and a second CSI are sent in step S521.

[0388] In embodiment 5, at least one matrix depends on the first CSI and the second CSI, and the at least one matrix is ​​used for precoding; both the first CSI and the second CSI depend on channel measurement obtained based on the first RS resource set, the first CSI is based on a codebook, and the second CSI conforms to at least one of the following:

[0389] The channel parameter restored by the second node U1 based on the second CSI is unknown to the first node U2;

[0390] The generator for generating the second CSI is obtained based on training;

[0391] The second CSI does not belong to the CSI defined in 3GPP R17, nor does it belong to the CSI defined in a version before 3GPP R17.

[0392] As an embodiment, the first node U2 is the first node in this application.

[0393] As an embodiment, the second node U1 is the second node in this application.

[0394] As an embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between a base station device and a user equipment.

[0395] As an embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between a relay node device and a user equipment.

[0396] As an embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between user equipments.

[0397] As an embodiment, the second node U1 is a base station maintaining a service cell of the first node U2.

[0398] As an embodiment, the first CSI and the second CSI are both transmitted on PUSCH (Physical Uplink Shared Channel).

[0399] As an embodiment, the first CSI and the second CSI are both transmitted on PUCCH (Physical Uplink Control Channel).

[0400] As an embodiment, the first CSI is transmitted on the PUCCH, and the second CSI is transmitted on the PUSCH.

[0401] As an embodiment, the first CSI is transmitted on PUSCH, and the second CSI is transmitted on PUCCH.

[0402] As an embodiment, the first CSI and the second CSI are transmitted on the same physical channel.

[0403] As a sub-embodiment of the above embodiment, the same physical channel is PUSCH.

[0404] As a sub-embodiment of the above embodiment, the same physical channel is PUCCH.

[0405] As an embodiment, the first CSI and the second CSI are transmitted on two different physical channels.

[0406] As a sub-embodiment of the above embodiment, the two different physical channels are two PUSCHs.

[0407] As a sub-embodiment of the above embodiment, the two different physical channels are two PUCCHs.

[0408] As a sub-embodiment of the above embodiment, the two different physical channels are a PUSCH and a PUCCH.

[0409] As a sub-embodiment of the above embodiment, the first CSI is sent earlier than the second CSI.

[0410] As an embodiment, the first CSI is based on a Type II codebook.

[0411] As an embodiment, L vectors depend on the first CSI, V coefficient sets depend on the second CSI, and the at least one matrix depends on the L vectors and the V coefficient sets; the L is a positive integer greater than 1, the L is configurable, and the V is a positive integer.

[0412] As an embodiment, V vector groups depend on at least one of the first CSI and the second CSI, and V is a positive integer; each of the V vector groups includes multiple vectors, and the number of vectors included in each of the V vector groups is configurable; and the at least one matrix depends on the V vector groups.

[0413] As an embodiment, the first vector group set depends on at least one of the first CSI and the second CSI, the number of vector groups in the first vector group set is equal to V, and V is a positive integer; the number of vectors included in each vector group in the first vector group set is equal to Q, and Q is configurable and is a positive integer; the at least one matrix depends on the first vector group set.

[0414] As an embodiment, the second CSI depends on a first encoder, and the first encoder is obtained based on training.

[0415] As an example, Figure 5 The steps in box F51 exist; the first signaling triggers a CSI report of the first reporting configuration; wherein the first CSI and the second CSI both depend on the first reporting configuration.

[0416] As an embodiment, the first signaling is transmitted on PDCCH.

[0417] Generally speaking, how to perform channel measurement and how to calculate CSI are determined by the equipment vendor. The following are some non-restrictive implementation methods:

[0418] As an embodiment, the first node obtains channel information by measuring the RS transmitted in the first RS resource set, and the channel information includes but is not limited to the channel matrix {H w , w=1, ..., W}, correlation, received power, RSRP (Reference signal received power) or phase; wherein W is the number of subbands, and H w The dimension is R×T, where T and R are the number of transmitting antenna ports and the number of receiving antennas, respectively.

[0419] As an embodiment, the first node obtains the first CSI and the second CSI by operating the channel information, and the operation includes but is not limited to mathematical operations, matrix operations, matrix decomposition, averaging, filtering, quantization, interpolation, table lookup, or one or more of artificial intelligence / machine learning methods. Interference information and / or noise information may also be used in the processing, and the interference information and / or noise information is obtained by performing interference measurement in NZP CSI-RS resources or CSI-IM resources; the interference information includes but is not limited to one or more of received power, RSRP, or correlation; how to perform interference measurement is also determined by the equipment manufacturer.

[0420] As an embodiment, the first node performs a channel matrix {H w}When using the precoding matrix {V w , w=1,...,W}, the equivalent channel {P w =H w .V w , w=1,...,W}, where V w The dimension is T×V, where V is the rank or the number of layers; the precoding matrix {V is determined by, for example but not limited to, matrix operation, matrix decomposition, table lookup, quantization, averaging, filtering or interpolation. w}; Using, for example but not limited to, SINR (signal-to-noise and interference ratio), EESM (Exponential Effective SINR Mapping), or RBIR (Received Block mean mutual Information Ratio) criteria and combining interference signal and noise information, calculate P w , w=1, ..., W equivalent channel capacity, and then determine CQI by the equivalent channel capacity through table lookup or other methods. Generally speaking, the direct mapping of CQI value depends on the receiver performance, or hardware-related factors such as modulation mode; the precoding matrix {V w}Report using a codebook-based approach and / or an artificial intelligence / machine learning-based approach.

[0421] As an embodiment, the precoding matrix {V w}Reported through the first CSI and the second CSI.

[0422] Example 6

[0423] Embodiment 6 illustrates a schematic diagram of a first CSI based on a Type II codebook according to an embodiment of the present application; Figure 6 shown.

[0424] As an embodiment, the first CSI includes a PMI based on a Type II codebook.

[0425] As an embodiment, the first CSI includes all or part of the information of the PMI based on a Type II codebook.

[0426] As an embodiment, the first CSI includes partial information of the PMI based on a Type II codebook.

[0427] As an embodiment, the first CSI includes a partial PMI based on a Type II codebook.

[0428] As an embodiment, a Type II codebook is used to generate the first CSI.

[0429] As an embodiment, a Type II codebook is used to generate the PMI in the first CSI.

[0430] As an embodiment, the first CSI is based on a Type II codebook, which means that the first CSI is a PMI based on a Type II codebook.

[0431] As an embodiment, the first CSI is based on a Type II codebook, which means that the first CSI includes all or part of the information of a PMI based on a Type II codebook.

[0432] As an embodiment, the first CSI is based on a Type II codebook, which means that the first CSI includes partial information of a PMI based on a Type II codebook.

[0433] As an embodiment, the first CSI is based on a Type II codebook, which means that: the PMI in the first CSI is generated based on a Type II codebook.

[0434] As an embodiment, the first CSI only includes a PMI based on a Type II codebook.

[0435] As an embodiment, the first CSI only includes partial information of the PMI based on the Type II codebook.

[0436] As an embodiment, the first CSI includes all or part of the information of the PMI based on the Type II codebook, and also includes one or more of CQI, CRI, LI or RI.

[0437] As an embodiment, the first CSI includes i based on the Type II codebook 1，1 and / or 1，2 .

[0438] As an embodiment, the first CSI includes i based on the Type II codebook 1，1 and / or 1，2 All or part of the information in.

[0439] As an embodiment, the first CSI includes i based on the Type II codebook 1，5 and / or {i 1，6，l , l=1, ...V}, where V is the number of layers.

[0440] As an embodiment, the first CSI includes i based on the Type II codebook 1，5 and / or {i 1，6，l , l=1,...V}, where V is the number of layers.

[0441] As an embodiment, the first CSI includes {i 1，3，l , l=1,...V},{i 1，4，l , l=1,...V,{i 1，7，L , l=1,...V},{i 1，8，l , l=1,...V},{i 2，1，l , l=1,...V},{i 2，2，l , l=1,...V},{i 2，3，l , l=1,...V},{i 2，4，l , l=1,...V} or {i 2，5，l , l=1,...V}; wherein V is a layer number.

[0442] As an embodiment, the Type II codebook includes the Type II codebook in versions before 3GPP NRR (Release) 17 and R17.

[0443] As an embodiment, the Type II codebook includes the Type II codebook of 3GPP NR R15.

[0444] As an embodiment, the Type II codebook includes the Type II port selection codebook of 3GPP NR R15.

[0445] As an embodiment, the Type II codebook includes an enhanced Type II codebook of 3GPP NR R16.

[0446] As an embodiment, the Type II codebook includes an enhanced Type II portselection codebook of 3GPP NR R16.

[0447] As an embodiment, the Type II codebook includes the further enhanced Type II port selection codebook of 3GPP NR R17.

[0448] As an embodiment, the Type II codebook includes at least one of the Type II codebook of 3GPP NR R15, the Type II port selection codebook of 3GPP NRR15, the enhanced Type II codebook of 3GPP NR R16, the enhanced Type II port selection codebook of 3GPP NR R16 or the further enhanced Type II port selection codebook of 3GPP NR R17.

[0449] As an embodiment, the recovered channel parameters include i based on the Type II codebook 1，1 and / or 1，2 All or part of the information in.

[0450] As an embodiment, the recovered channel parameters include {i 1，3，l} and / or {i 1，4，l} all or part of the information in}.

[0451] As an embodiment, the recovered channel parameters include {i 2，1，l} and / or {i 2，2，l} all or part of the information in}.

[0452] As an embodiment, the recovered channel parameters include i based on the Type II codebook 1，5 ,{i 1，6，l},{i 1，7，l} or {i 1，8，k}All or part of the information in one or more of}.

[0453] As an embodiment, the recovered channel parameters include {i 2，3，l},{i 2，4，l} or {i 2，5，l}All or part of the information in one or more of}.

[0454] As an embodiment, the i 1，1 , the i 1，2 For the definition, see 3GPP TS38.214.

[0455] As an embodiment, the i 1，3，l , the i 1，4，l , the i 2，1，l and the i 2，2，l For the definition, see 3GPP TS 38.214.

[0456] As an embodiment, the i 1，5 , the i 1，6，l , the i 1，7，l , the i 1，8，l , the i 2，3，l , the i 2，4，l and the i 2，5，l For the definition of , see 3GPP TS38.214.

[0457] As an embodiment, the PMI included in the first CSI is generated in a manner defined by Type II.

[0458] As an embodiment, the first CSI includes a portion of the PMI generated in a manner defined by Type II.

[0459] Example 7

[0460] Embodiment 7 illustrates a schematic diagram of at least one matrix, L vectors and coefficient sets according to an embodiment of the present application; Figure 7 In Embodiment 7, L vectors depend on the first CSI, V coefficient sets depend on the second CSI, and the at least one matrix depends on the L vectors and the V coefficient sets.

[0461] As an embodiment, V is the number of layers.

[0462] As an embodiment, the L is configured by a higher layer parameter.

[0463] As an embodiment, the L vectors are mutually orthogonal in pairs.

[0464] As an embodiment, there are two vectors among the L vectors that are not orthogonal.

[0465] As an embodiment, any vector among the L vectors is a column of a DFT (Discrete Fourier Transform) matrix.

[0466] As an embodiment, dimensions of any two vectors in the L vectors are equal.

[0467] As an embodiment, the dimensions of any two vectors in the L vectors are equal to the number of ports of an RS resource in the first RS resource set.

[0468] As an embodiment, L is smaller than the number of ports of an RS resource in the first RS resource set.

[0469] As an embodiment, the L vectors are L spatial basis vectors.

[0470] As an embodiment, the L vectors correspond to L beams respectively.

[0471] As an embodiment, the L vectors include K vector groups, each vector group in the K vector groups is composed of some vectors in the L vectors, and K is a positive integer greater than 1.

[0472] As an embodiment, the K is not greater than the number of RS resources included in the first RS resource set.

[0473] As an embodiment, K is equal to the number of RS resources included in the first RS resource set.

[0474] As an embodiment, the K is smaller than the number of RS resources included in the first RS resource set.

[0475] As an embodiment, the number of vectors included in each of the K vector groups is configurable.

[0476] As an embodiment, the number of vectors included in each of the K vector groups is configured by RRC signaling.

[0477] As an embodiment, the number of vectors included in each of the K vector groups is configured separately.

[0478] As an embodiment, the number of vectors included in each of the K vector groups is fixed.

[0479] As an embodiment, there are two vector groups among the K vector groups and the numbers of vectors included in them are unequal.

[0480] As an embodiment, any two vector groups among the K vector groups include an equal number of vectors.

[0481] As an embodiment, the number of vectors included in each of the K vector groups is smaller than the number of ports of an RS resource in the first RS resource set.

[0482] As an embodiment, L is equal to the sum of the numbers of vectors included in each of the K vector groups.

[0483] As an embodiment, L is greater than the number of ports of any RS resource in the first RS resource set.

[0484] As an embodiment, for any vector group among the K vector groups, the vectors in this vector group are orthogonal to each other.

[0485] As an embodiment, K is equal to the number of RS resources included in the first RS resource set.

[0486] As an embodiment, the K is smaller than the number of RS resources included in the first RS resource set.

[0487] As an embodiment, the K vector groups are respectively for K RS resources, and each RS resource in the K RS resources is an RS resource in the first RS resource set.

[0488] As a sub-embodiment of the above embodiment, the K is smaller than the number of RS resources included in the first RS resource set, and the first node obtains the channel measurement for calculating the second CSI based on only the K RS resources in the first RS resource set.

[0489] As a sub-embodiment of the above embodiment, the K is smaller than the number of RS resources included in the first RS resource set, and the first CSI indicates the K RS resources from the first RS resource set.

[0490] As an embodiment, the K vector groups respectively include spatial basis vectors for the K RS resources.

[0491] As an embodiment, the vectors in the K vector groups respectively correspond to beams for the K RS resources.

[0492] As an embodiment, the first CSI indicates the L vectors.

[0493] As an embodiment, for any vector among the L vectors, the first CSI indicates this vector from a set of candidate vectors.

[0494] As an embodiment, the L vectors are i 1，1 and i 1，2 instruct.

[0495] As an embodiment, the L vectors are i 1，1 or 1，2 At least one of the indications.

[0496] As an embodiment, each coefficient in the V coefficient sets is a complex number.

[0497] As an embodiment, the V coefficient sets are respectively for V layers.

[0498] As an embodiment, V coefficient sets depending on the second CSI means that at least part of the coefficients in the V coefficient sets depend on the second CSI.

[0499] As an embodiment, V coefficient sets depending on the second CSI means that all coefficients in the V coefficient sets depend on the second CSI.

[0500] As an embodiment, V coefficient sets depending on the second CSI means that the V coefficient sets depend on at least the second CSI among the first CSI and the second CSI.

[0501] As an embodiment, the V coefficient sets depend on only the first CSI out of the first CSI and the second CSI.

[0502] As an embodiment, the V coefficient sets depend on only the second CSI out of the first CSI and the second CSI.

[0503] As an embodiment, the V coefficient sets depend on the first CSI and the second CSI.

[0504] As an embodiment, the V coefficient sets include at least one coefficient that is 0 and at least one non-zero coefficient.

[0505] As an embodiment, any coefficient in the V coefficient sets is a non-zero complex number.

[0506] As an embodiment, the number of coefficients included in each of the V coefficient sets is equal to 2×L×W.

[0507] As an embodiment, the number of coefficients included in each of the V coefficient sets is equal to 2×the L×the M.

[0508] As an embodiment, the number of coefficients included in each of the V coefficient sets is equal to 2×the L×the M×the K.

[0509] As an embodiment, the number of coefficients included in each of the V coefficient sets is equal to 2×the L×the M×the Q.

[0510] As an embodiment, the benefits of the above method include: improving CSI accuracy.

[0511] As an embodiment, the number of coefficients included in each of the V coefficient sets is less than 2×the L×the W.

[0512] As an embodiment, the number of coefficients included in each of the V coefficient sets is less than 2×the L×the M.

[0513] As an embodiment, the number of coefficients included in each of the V coefficient sets is less than 2×the L×the M×the K.

[0514] As an embodiment, the number of coefficients included in each of the V coefficient sets is less than 2×the L×the M×the Q.

[0515] As an embodiment, the benefits of the above method include: reducing reporting overhead.

[0516] As an embodiment, the V coefficient sets respectively include merging coefficients corresponding to V layers.

[0517] As an embodiment, each coefficient in the V coefficient sets is a combined coefficient.

[0518] As an embodiment, each non-zero coefficient in the V coefficient sets is a merged coefficient.

[0519] As an embodiment, each coefficient in the V coefficient sets is a combined coefficient for one RS resource among the K RS resources.

[0520] As an embodiment, each non-zero coefficient in the V coefficient sets is a combined coefficient for one RS resource among the K RS resources.

[0521] As an embodiment, the merging coefficient refers to the spatial domain merging coefficient.

[0522] As an embodiment, the combining coefficient refers to a space-frequency domain combining coefficient.

[0523] As an embodiment, the combining coefficient refers to a space-frequency-Doppler domain combining coefficient.

[0524] As an embodiment, each coefficient in the V coefficient sets includes an amplitude and a phase.

[0525] As an embodiment, each coefficient of at least part of the coefficients in the V coefficient sets includes an amplitude and a phase.

[0526] As an embodiment, the amplitude of each coefficient in the V coefficient sets is equal to the product of a wideband amplitude and a narrowband amplitude.

[0527] As an embodiment, the amplitude of each coefficient in at least some of the coefficients in the V coefficient sets is equal to the product of a wideband amplitude and a narrowband amplitude.

[0528] As an embodiment, the first CSI indicates the V sets of coefficients.

[0529] As an embodiment, the second CSI indicates the V sets of coefficients.

[0530] As an embodiment, the first CSI and the second CSI jointly indicate the V coefficient sets.

[0531] As an embodiment, for at least part of the coefficients in the V coefficient sets, the amplitude and the phase are indicated separately.

[0532] As an embodiment, for at least part of the coefficients in the V coefficient sets, the wideband amplitude and the narrowband amplitude are indicated separately.

[0533] As an embodiment, for at least part of the coefficients in the V coefficient sets, the first CSI indicates the amplitude of each coefficient in the at least part of the coefficients, and the second CSI indicates the phase of each coefficient in the at least part of the coefficients.

[0534] As an embodiment, for at least part of the coefficients in the V coefficient sets, the first CSI indicates a wideband amplitude of each coefficient in the at least part of the coefficients, and the second CSI indicates a narrowband amplitude of each coefficient in the at least part of the coefficients.

[0535] As a sub-embodiment of the above embodiment, the second CSI further indicates the phase of each coefficient of the at least part of the coefficients.

[0536] As an embodiment, for at least part of the coefficients in the V coefficient sets, the first CSI indicates the position of each coefficient in the at least part of the coefficients in a coefficient matrix.

[0537] As an embodiment, for at least part of the coefficients in the V coefficient sets, the second CSI indicates the position of each coefficient in the at least part of the coefficients in a coefficient matrix.

[0538] As an embodiment, the V coefficient sets are composed of {i 2，1，l} and {i 2，2，l}instruct.

[0539] As an embodiment, the V coefficient sets are composed of {i 2，1，l},{i 2，2，l},{i 1，3，l} and {i 1，4，l}instruct.

[0540] As an embodiment, the V coefficient sets are composed of {i 2，1，l},{i 2，2，l},{i 1，3，l} or {i 1，4，l}indicates at least one of the following.

[0541] As an embodiment, the V coefficient sets are composed of {i 2，3，l},{i 2，4，l} and {i 2，5，l}instruct.

[0542] As an embodiment, the V coefficient sets are composed of {i 1，7，l},{i 1，8，l},{i 2，3，l},{i 2，4，l} and {i 2，5，l}instruct.

[0543] As an embodiment, the V coefficient sets are composed of {i 1，7，l},{i 1，8，l},{i 2，3，l},{i 2，4，l} or {i 2，5，l}indicates at least one of the following.

[0544] As an embodiment, the recovered channel parameters include the V coefficient sets.

[0545] As an embodiment, the target receiver of the second CSI recovers the V sets of coefficients based on the second CSI.

[0546] As an embodiment, the V sets of coefficients recovered by the target receiver of the second CSI based on the second CSI are unknown to the first node.

[0547] The benefits of the above method include: more accurate CSI reporting and good forward compatibility.

[0548] As an embodiment, the recovered channel parameters include all or part of the coefficients in the V coefficient sets.

[0549] As an embodiment, the recovered channel parameters include narrowband amplitudes and phases of all or part of the coefficients in the V coefficient sets.

[0550] As an embodiment, the target receiver of the second CSI recovers the amplitudes of all or part of the coefficients in the V coefficient sets based on the first CSI, and recovers the phases of all or part of the coefficients in the V coefficient sets based on the second CSI.

[0551] As an embodiment, the phase recovered by the target receiver of the second CSI based on the second CSI is unknown to the first node.

[0552] As an embodiment, the target receiver of the second CSI recovers the wideband amplitude of all or part of the coefficients in the V coefficient sets based on the first CSI, and recovers the narrowband amplitude and phase of all or part of the coefficients in the V coefficient sets based on the second CSI.

[0553] As an embodiment, the narrowband amplitude and phase recovered by the target receiver of the second CSI based on the second CSI are unknown to the first node.

[0554] The benefits of the above approach include: better backward compatibility and reduced implementation complexity.

[0555] As an embodiment, the V coefficient sets are calculated based on the L vectors.

[0556] As an embodiment, the first CSI carries RI, and the V coefficient sets are calculated based on the RI carried by the first CSI and the L vectors.

[0557] As an embodiment, the first CSI carries RI and CRI, and the V coefficient sets are calculated based on the RI and CRI carried by the first CSI and the L vectors.

[0558] As an embodiment, the L vectors and the V coefficient sets are used to determine the at least one matrix.

[0559] As an embodiment, the at least one matrix is ​​obtained by performing mathematical operations on the L vectors and the V coefficient sets.

[0560] As an embodiment, the at least one matrix is ​​obtained by weighting the L vectors with coefficients in the V coefficient sets and then performing merging, cascading or other matrix operations on the weighted vectors.

[0561] As an embodiment, any matrix among the at least one matrix is ​​obtained by performing matrix operations on a first matrix and a first coefficient matrix; the first matrix depends on the L vectors, and the first coefficient matrix depends on the V coefficient sets.

[0562] Example 8

[0563] Embodiment 8 illustrates a schematic diagram of at least one matrix and V vector groups according to an embodiment of the present application; Figure 8 In Embodiment 8, V vector groups depend on at least one of the first CSI and the second CSI, and the at least one matrix depends on the V vector groups.

[0564] As an embodiment, at least one of the first CSI or the second CSI indicates the V vector groups.

[0565] As an embodiment, at least one of the first CSI or the second CSI indicates each vector in the V vector groups.

[0566] As an embodiment, the number of vectors included in each of the V vector groups depends on the W.

[0567] As an embodiment, the number of vectors included in each of the V vector groups is equal to M, and M is configurable.

[0568] As an embodiment, the M is equal to the N3 divided by the R and multiplied by p and rounded up, and the R and the p are configurable.

[0569] As an embodiment, p is a positive real number less than 1.

[0570] As an embodiment, the p is configured by a higher layer parameter 'paramCombination'.

[0571] As an embodiment, the p depends on a higher layer parameter 'paramCombination' and the V.

[0572] As an embodiment, the M is smaller than the N3.

[0573] As an embodiment, for any vector group in the V vector groups, dimensions of any two vectors in the vector group are equal.

[0574] As an embodiment, for any vector group among the V vector groups, the vectors in this vector group are mutually orthogonal.

[0575] As an embodiment, dimensions of any two vectors in the V vector groups are equal.

[0576] As an embodiment, the dimension of any vector in the V vector groups is equal to N3.

[0577] As an embodiment, any vector in the V vector groups is a column of a DFT (Discrete Fourier Transform) matrix.

[0578] As an embodiment, any vector in the V vector groups corresponds to a delay or a delay path.

[0579] As an embodiment, the V vector groups are respectively for V layers.

[0580] As an embodiment, the V vector groups respectively include frequency domain basis vectors for V layers.

[0581] As an embodiment, the frequency domain refers to the delay domain.

[0582] As an embodiment, each of the V vector groups includes K vector sub-groups, each of the K vector sub-groups consists of partial vectors in the vector group to which it belongs, and K is a positive integer greater than 1.

[0583] As an embodiment, the benefits of the above method include: better support for CSI based on multiple TRPs and / or coherent joint transmission.

[0584] As an embodiment, the benefits of the above method include: improving the throughput, spectrum efficiency and reliability of downlink transmission.

[0585] As an embodiment, for any vector group among the V vector groups, any two vector subgroups in this vector group include an equal number of vectors.

[0586] As an embodiment, the number of vectors included in any vector subset of the V vector groups depends on the W.

[0587] As an embodiment, the number of vectors included in any vector subset of the V vector groups is equal to M, and M is configurable.

[0588] As an embodiment, for the K vector subsets included in any vector group among the V vector groups, the reference vector subset is a vector subset among the K vector subsets, and any vector subset among the K vector subsets except the reference vector subset depends on the reference vector subset and a phase offset.

[0589] As an embodiment, the benefits of the above method include: reducing CSI reporting overhead.

[0590] As an embodiment, any vector subset among the K vector subsets except the reference vector subset is equal to the product of the reference vector subset and a diagonal matrix, and the diagonal matrix depends on a phase offset.

[0591] As a sub-embodiment of the above embodiment, the diagonal matrix is ​​equal to It is stated is the one phase offset.

[0592] As an embodiment, the V vector groups depend on only the first CSI out of the first CSI and the second CSI.

[0593] As an embodiment, the benefits of the above method include: better backward compatibility and simplified design.

[0594] As an embodiment, the L vectors and the V vector groups depend on the first CSI, and the V coefficient sets depend on the second CSI.

[0595] As an embodiment, the first CSI indicates the V vector groups.

[0596] As an embodiment, the first CSI indicates each vector in the V vector groups.

[0597] As an embodiment, the first CSI indicates each vector in the V vector groups from a set of candidate vectors.

[0598] As an embodiment, the first CSI indicates a reference vector subset in each of the V vector groups.

[0599] As an embodiment, the first CSI indicates each vector in each reference vector subset from a set of candidate vectors.

[0600] As an embodiment, the first CSI indicates the phase offset of each vector subset in each of the V vector groups except the reference vector subset.

[0601] As an embodiment, the V vector groups are composed of i 1,5 or {i 1,6,l}indicates at least one of the following.

[0602] As an embodiment, the V vector groups depend on only the second CSI out of the first CSI and the second CSI.

[0603] As an embodiment, the benefits of the above method include: better forward compatibility and more optimized reporting overhead.

[0604] As an embodiment, the recovered channel parameters include the V vector groups.

[0605] As an embodiment, the recovered channel parameters include each vector in the V vector groups.

[0606] As an embodiment, the recovered channel parameters include the reference vector subset in each of the V vector groups.

[0607] As an embodiment, the recovered channel parameters include the phase offset of each vector subset in each of the V vector groups except the reference vector subset.

[0608] As an embodiment, the target receiver of the second CSI recovers the V vector groups based on the second CSI.

[0609] As an embodiment, the V vector groups recovered by the target receiver of the second CSI based on the second CSI are unknown to the first node.

[0610] As an embodiment, the target receiver of the second CSI recovers the phase offset of the reference vector subgroup in each of the V vector groups and / or each vector subgroup other than the reference vector subgroup in each of the V vector groups based on the second CSI.

[0611] As an embodiment, the reference vector subset and / or the phase offset recovered by the target receiver of the second CSI based on the second CSI is unknown to the first node.

[0612] As an embodiment, the V vector groups depend on the first CSI and the second CSI.

[0613] As an embodiment, the benefits of the above method include: more flexible design, suitable for different terminals.

[0614] As an embodiment, the first CSI indicates some vectors in the V vector groups.

[0615] As an embodiment, the recovered channel parameters include some vectors in the V vector groups.

[0616] As an embodiment, the first CSI indicates the reference vector subset in each of the V vector groups, and the recovered channel information includes each vector subset in each of the V vector groups except the reference vector subset.

[0617] As an embodiment, the recovered channel information includes the reference vector subset in each of the V vector groups, and the first CSI indicates the phase offset of each vector subset in each of the V vector groups except the reference vector subset.

[0618] As an embodiment, the first CSI indicates a subspace, and the recovered channel parameters include all or part of the vectors in the V vector groups restricted in the one subspace.

[0619] As an embodiment, the V coefficient sets are calculated based on the V vector groups.

[0620] As an embodiment, the V coefficient sets are calculated based on the L vectors and the V vector groups.

[0621] As an embodiment, the first CSI carries RI, and the V coefficient sets are calculated based on the RI carried by the first CSI, the L vectors and the V vector groups.

[0622] As an embodiment, the first CSI carries RI and CRI, and the V coefficient sets are calculated based on the RI and CRI carried by the first CSI, the L vectors and the V vector groups.

[0623] As an embodiment, the L vectors, the V vector groups and the V coefficient sets are used to determine the at least one matrix.

[0624] As an embodiment, the at least one matrix is ​​obtained by performing mathematical operations on the L vectors, the V vector groups and the V coefficient sets.

[0625] As an embodiment, the at least one matrix is ​​obtained by weighting the L vectors and the vectors in the V vector groups with the coefficients in the V coefficient sets, and then merging, concatenating or performing other matrix operations on the weighted vectors.

[0626] As an embodiment, the at least one matrix is ​​obtained by weighting the L vectors with coefficients in the V coefficient sets and elements in the vectors in the V vector groups, and then merging, concatenating or performing other matrix operations on the weighted vectors.

[0627] As a sub-embodiment of the above embodiment, the weighted coefficients used for weighting are obtained by performing mathematical operations on the coefficients in the V coefficient sets and the elements in the vectors in the V vector groups.

[0628] As an embodiment, any matrix among the at least one matrix is ​​obtained by performing matrix operations on a first matrix, a first coefficient matrix and a third matrix; the first matrix depends on the L vectors, the first coefficient matrix depends on the V coefficient sets, and the third matrix depends on the V vector groups.

[0629] Example 9

[0630] Embodiment 9 illustrates a schematic diagram of at least one matrix and a first vector group set according to an embodiment of the present application; Fig. 9 In Embodiment 9, the first vector group set depends on at least one of the first CSI and the second CSI, the number of vector groups in the first vector group set is equal to V, the number of vectors included in each vector group in the first vector group set is equal to Q, and the at least one matrix depends on the first vector group set.

[0631] As an embodiment, the Q is configured by a higher layer parameter.

[0632] As an embodiment, for any vector group in the first vector group set, dimensions of any two vectors in the vector group are equal.

[0633] As an embodiment, the dimension of any vector in the first vector group set is equal to N4, and N4 is a positive integer greater than 1, and N4 is configurable.

[0634] As an embodiment, the N4 is configured by a higher layer parameter.

[0635] As an embodiment, the Q is smaller than the N4.

[0636] As an embodiment, any vector in the first vector group set is a column of a DFT matrix.

[0637] As an embodiment, for any vector group in the first vector group set, the vectors in this vector group are mutually orthogonal.

[0638] As an embodiment, any vector in the first vector group set corresponds to a Doppler shift.

[0639] As an embodiment, the V vector groups in the first vector group set are respectively for V layers.

[0640] As an embodiment, the V vector groups in the first vector group set respectively include Doppler domain basis vectors for V layers.

[0641] As an embodiment, the Doppler domain refers to the time domain.

[0642] As an embodiment, the first vector group set depends on only the first CSI out of the first CSI and the second CSI.

[0643] As an embodiment, the benefits of the above method include: better backward compatibility and simplified design.

[0644] As an embodiment, the first CSI indicates the first vector group set.

[0645] As an embodiment, the first CSI indicates each vector in the first vector group set.

[0646] As an embodiment, the first CSI indicates each vector in the first vector group set from a candidate vector set.

[0647] As an embodiment, the first vector group set depends on only the second CSI out of the first CSI and the second CSI.

[0648] As an embodiment, the benefits of the above method include: better forward compatibility and more optimized reporting overhead.

[0649] As an embodiment, the recovered channel parameters include the first vector group set.

[0650] As an embodiment, the recovered channel parameters include each vector in the first vector group set.

[0651] As an embodiment, the first vector group set depends on the first CSI and the second CSI.

[0652] As an embodiment, the benefits of the above method include: more flexible design, suitable for different terminals.

[0653] As an embodiment, the first CSI indicates some vectors in the first vector group set.

[0654] As a sub-embodiment of the above embodiment, the first CSI indicates each vector in the partial vectors from a candidate vector set.

[0655] As an embodiment, the recovered channel parameters include some vectors in the first vector group set.

[0656] As an embodiment, the first CSI indicates a subspace, and the recovered channel parameters include all or part of the vectors in the first vector group set restricted in the subspace.

[0657] As an embodiment, the L vectors and the V vector groups depend on the first CSI, and the first vector group set and the V coefficient sets depend on the second CSI.

[0658] As an embodiment, the L vectors and the V vector groups depend on the first CSI, the V coefficient sets depend on the second CSI, and the first vector group set depends on the first CSI and the second CSI.

[0659] As an embodiment, the V coefficient sets are calculated based on the first vector group set.

[0660] As an embodiment, the V coefficient sets are calculated based on the L vectors, the V vector groups and the first vector group set.

[0661] As an embodiment, the first CSI carries RI and / or CRI, and the V coefficient sets are calculated based on the RI and / or CRI carried by the first CSI, the L vectors, the V vector groups and the first vector group set.

[0662] As an embodiment, the L vectors, the V vector groups, the first vector group set and the V coefficient sets are used to determine the at least one matrix.

[0663] As an embodiment, the at least one matrix is ​​obtained by performing mathematical operations on the L vectors, the V vector groups, the first vector group set and the V coefficient sets.

[0664] As an embodiment, the at least one matrix is ​​obtained by weighting the L vectors, the V vector groups and the vectors in the first vector group set with coefficients in the V coefficient sets, and then merging, cascading or other matrix operations on the weighted vectors.

[0665] As an embodiment, the at least one matrix is ​​obtained by weighting the L vectors using the coefficients in the V coefficient sets, the elements in the vectors in the V vector groups and the elements in the vectors in the first vector group set, and then merging, cascading or other matrix operations on the weighted vectors.

[0666] As a sub-embodiment of the above embodiment, the weighted coefficients used for weighting are obtained by performing mathematical operations on the coefficients in the V coefficient sets, the elements in the vectors in the V vector groups, and the elements in the vectors in the first vector group set.

[0667] As an embodiment, any matrix among the at least one matrix is ​​obtained by performing matrix operations on a first matrix, a first coefficient matrix and a third matrix; the first matrix depends on the L vectors, the first coefficient matrix depends on the V coefficient sets, and the third matrix depends on the V vector groups and the first vector group set.

[0668] Example 10

[0669] Embodiment 10 illustrates a schematic diagram of at least one matrix according to an embodiment of the present application; Fig.10 In embodiment 10, the at least one matrix includes W matrices, and the W matrices are respectively for the W subbands; each coefficient set in the V coefficient sets includes W subsets, and the W subsets correspond to the W subbands one by one.

[0670] In the attached Fig.10 In the formula, coefficient set #(v-1) represents the coefficient set corresponding to the vth layer in the V coefficient sets, and v is any positive integer not greater than V; when W=1, the W matrices, the W subbands and the W subsets are represented by matrix #0, subband #0 and subset #0, respectively; when W>1, the W matrices are represented by matrix #0, …, matrix #(W-1), the W subbands are represented by subband #0, …, subband #(W-1), and the W subsets are represented by subset #0, …, subset #(W-1).

[0671] As an embodiment, the W matrices are used for precoding of the W subbands respectively.

[0672] As an embodiment, the W matrices are respectively precoding matrices of the W subbands.

[0673] As an embodiment, the number of rows of each of the W matrices is equal to the number of ports of an RS resource in the first RS resource set, and the number of columns is equal to the V.

[0674] As an embodiment, the V columns of each of the W matrices are respectively precoding vectors for V layers of one subband among the W subbands.

[0675] As an embodiment, the W matrices depend on the L vectors and the V coefficient sets.

[0676] As an embodiment, the given matrix is ​​any one of the W matrices, and the given matrix is ​​for a given subband among the W subbands; the given matrix is ​​obtained by merging and concatenating the L vectors after weighting; the coefficients in a given coefficient group are used to weight the L vectors, and the given coefficient group includes a subset of each coefficient set in the V coefficient sets and corresponding to the given subband.

[0677] As an embodiment, the given matrix is ​​any matrix among the W matrices, and the given matrix is ​​for a given subband among the W subbands; the given matrix includes V columns, and the vth column in the given matrix is ​​equal to the multiplication of the first matrix and the given coefficient vector and then multiplied by a factor; the first matrix is ​​equal to the second matrix and , the second matrix consists of the L vectors as L columns, the non-zero elements in the given coefficient vector are composed of the non-zero coefficients in the coefficient set corresponding to the vth layer in the V coefficient sets and in the subset corresponding to the given subband; and v is any positive integer not greater than V.

[0678] As an embodiment, W is equal to 1.

[0679] As an embodiment, W is greater than 1.

[0680] Embodiment 11

[0681] Embodiment 11 illustrates a schematic diagram of at least one matrix according to an embodiment of the present application; Fig.11As shown. In embodiment 11, the at least one matrix includes N3 matrices, and the N3 matrices are respectively for the N3 PRB groups; the number of vectors included in each of the V vector groups is equal to M, and each of the V coefficient sets includes M subsets, and M is configurable; the M subsets in the coefficient set corresponding to the vth layer in the V coefficient sets correspond one to one with the M vectors included in the vector set corresponding to the vth layer in the V vector groups.

[0682] In the attached Fig.11 In the embodiment, vector group #(v-1) represents the vector group corresponding to the vth layer in the V vector groups, coefficient set #(v-1) represents the coefficient set corresponding to the vth layer in the V coefficient sets, and v is any positive integer not greater than V; the N3 matrices are represented by matrix #0, ..., matrix #(N3-1); the N3 PRB groups are represented by PRB group #0, ..., PRB group #(N3-1), the M vectors in the vector group #(v-1) are represented by vector #0, ..., vector #(M-1), and the M subsets in the coefficient set #(v-1) are represented by subset #0, ..., subset #(M-1).

[0683] As an embodiment, the N3 matrices are respectively used for precoding of the N3 PRB groups.

[0684] As an embodiment, the N3 matrices are respectively precoding matrices of the N3 PRB groups.

[0685] As an embodiment, the number of rows of each of the N3 matrices is equal to the number of ports of an RS resource in the first RS resource set, and the number of columns is equal to the V.

[0686] As an embodiment, the V columns of each of the N3 matrices are respectively precoding vectors for the V layers of one PRB group among the N3 PRB groups.

[0687] As an embodiment, the N3 matrices depend on the L vectors, the V vector groups and the V coefficient sets.

[0688] As an embodiment, the given matrix is ​​any matrix among the N3 matrices; the given matrix includes V columns, the vth column in the given matrix is ​​obtained by merging and concatenating the L vectors after weighting, the coefficients in the coefficient set #(v-1) and the elements in the vectors in the vector group #(v-1) are used to weight the L vectors; and v is any positive integer not greater than V.

[0689] As a sub-embodiment of the above embodiment, the coefficients in the coefficient set #(v-1) and the elements in the vectors in the vector group #(v-1) are subjected to mathematical operations to obtain the weighted coefficients used for weighting.

[0690] As a sub-embodiment of the above embodiment, the coefficients in the coefficient set #(v-1) and the tth element of the vector in the vector group #(v-1) are subjected to mathematical operations to obtain the weighted coefficients used for weighted purposes; the given matrix is ​​for the tth PRB group among the N3 PRB groups.

[0691] As an embodiment, the given matrix is ​​any matrix among the N3 matrices; the given matrix includes V columns, and the vth column in the given matrix is ​​obtained by matrix operation of the first matrix, the given coefficient matrix and the second vector; the first matrix is ​​equal to the second matrix and , the second matrix is ​​composed of the L vectors as L columns, the given coefficient matrix depends on the coefficients in the coefficient set #(v-1), and the second vector depends on the vectors in the vector group #(v-1); the v is any positive integer not greater than the V.

[0692] As a sub-embodiment of the above embodiment, the second vector is a column vector.

[0693] As a sub-embodiment of the above embodiment, the second vector depends on the t-th element of the vector in the vector group #(v-1), and the given matrix is ​​for the t-th PRB group among the N3 PRB groups.

[0694] As a sub-embodiment of the above embodiment, the second vector is composed of the t-th element of each vector in the vector group #(v-1).

[0695] As a sub-embodiment of the above embodiment, each element in the second vector is obtained by multiplying the t-th element of a vector in the vector group #(v-1) by a factor.

[0696] As a sub-embodiment of the above embodiment, the non-zero elements in the given coefficient matrix are composed of the non-zero coefficients in the coefficient set #(v-1).

[0697] As a sub-embodiment of the above embodiment, the given coefficient matrix includes M columns, and the non-zero elements in the M columns are respectively composed of non-zero coefficients in M ​​subsets in the coefficient set #(v-1).

[0698] Example 12

[0699] Embodiment 12 illustrates a schematic diagram of at least one matrix according to an embodiment of the present application; Fig.12 As shown. In embodiment 12, the at least one matrix includes N3 matrices, and the N3 matrices are respectively for the N3 PRB groups; each of the N3 matrices includes K sub-matrices, and each of the K sub-matrices includes V columns; the L vectors include K vector groups, and the K sub-matrices in each of the N3 matrices correspond to the K vector groups one by one; each of the V coefficient sets includes K coefficient groups, and each coefficient group includes M subsets; each of the V coefficient sets includes the K coefficient groups and the K vector groups correspond one by one.

[0700] In the attached Fig.12 In the formula, vector group #(v-1) represents the vector group corresponding to the vth layer in the V vector groups, coefficient set #(v-1) represents the coefficient set corresponding to the vth layer in the V coefficient sets, and v is any positive integer not greater than V; the N3 matrices are represented by matrix #0, ..., matrix #(N3-1); the N3 PRB groups are represented by PRB group #0, ..., PRB group #(N3-1), and the K sub-matrices of each matrix in the N3 matrices are represented by sub-matrices Matrices #0, ..., submatrices #(K-1) are represented, the K coefficient groups in the coefficient set #(v-1) are represented by coefficient groups #0, ..., coefficient groups #(K-1), and the M subsets in each coefficient group are represented by subsets #0, ..., subsets #(M-1); when V=1, the V columns in each of the K submatrices are represented by column #0; when V>1, the V columns in each of the N3 matrices are represented by columns #0, ..., column #(V-1).

[0701] As an embodiment, the number of vectors included in each of the V vector groups is equal to M, as shown in the attached Fig.12 (a); the M subsets in any coefficient group in the coefficient set #(v-1) correspond one to one with the M vectors in the vector group #(v-1). Fig.12 In (a), the M vectors in the vector group #(v-1) are represented by vector #0, ..., vector #(M-1).

[0702] As an embodiment, each of the V vector groups includes the K vector subgroups, and the number of vectors included in each vector subgroup is equal to M, as shown in the attached figure. Fig.12(b) as shown; the K vector subsets included in each of the V vector groups correspond one-to-one with the K vector groups, the K vector subsets in the vector group #(v-1) correspond one-to-one with the K coefficient groups in the coefficient set #(v-1), and the M subsets in any coefficient group in the coefficient set #(v-1) correspond one-to-one with the M vectors in the corresponding vector subset in the vector group #(v-1). Fig.12 In (b), the K vector subsets in the vector group #(v-1) are represented by vector subset #0, ..., vector subset #(K-1), and the M vectors in each vector subset are represented by vector #0, ..., vector #(M-1).

[0703] As an embodiment, the N3 matrices are respectively used for precoding of the N3 PRB groups.

[0704] As an embodiment, the number of rows of each of the N3 matrices is equal to the sum of the number of ports of the K RS resources in the first RS resource set, and the number of columns is equal to the V.

[0705] As an embodiment, the N3 matrices depend on the L vectors, the V vector groups and the V coefficient sets.

[0706] As an embodiment, any submatrix in any matrix among the N3 matrices depends on a corresponding vector group among the K vector groups.

[0707] As an embodiment, the given submatrix is ​​any submatrix of any matrix among the N3 matrices, the vth column of the given submatrix is ​​obtained by merging and concatenating the weighted vectors in the first given vector group, the coefficients in the given coefficient group and the elements in the vectors in the second given vector group are used to weight the vectors in the first given vector group; and v is any positive integer not greater than V.

[0708] As a sub-embodiment of the above embodiment, the coefficients in the given coefficient group and the elements in the vector in the second given vector group are subjected to mathematical operations to obtain the weighted coefficients used for weighting.

[0709] As a sub-embodiment of the above-mentioned embodiment, the coefficients in the given coefficient group and the t-th element of the vector in the second given vector group are subjected to mathematical operation to obtain the weighted coefficients used for weighted purposes; the given sub-matrix is ​​a sub-matrix of the matrix for the t-th PRB group in the N3 matrices.

[0710] As an embodiment, the given matrix is ​​any matrix among the N3 matrices, and the given submatrix is ​​any submatrix of the given matrix; the vth column of the given submatrix is ​​obtained by matrix operation of the first matrix, the given coefficient matrix and the second vector; the first matrix is ​​equal to the second matrix and The Kronecker product of the second matrix is ​​composed of vectors in the first given vector group as columns, the given coefficient matrix depends on the given coefficient group, and the second vector depends on the tth element of the vector in the second given vector group; the v is any positive integer not greater than the V.

[0711] As a sub-embodiment of the above embodiment, the second vector is a column vector.

[0712] As a sub-embodiment of the above embodiment, the second vector is composed of the t-th element of each vector in the second given vector group.

[0713] As a sub-embodiment of the above embodiment, each element in the second vector is obtained by multiplying the t-th element of a vector in the second given vector group by a factor.

[0714] As a sub-embodiment of the above embodiment, the non-zero elements in the given coefficient matrix are composed of non-zero coefficients in the given coefficient group.

[0715] As a sub-embodiment of the above embodiment, the given coefficient matrix includes M columns, and the non-zero elements in the M columns are respectively composed of non-zero coefficients in M ​​subsets in the given coefficient group.

[0716] As an embodiment, the first given vector group is a vector group in the K vector groups corresponding to the given submatrix, and the given coefficient group is a coefficient group in the coefficient set #(v-1) corresponding to the first given vector group.

[0717] As a sub-embodiment of the above embodiment, the second given vector group is the vector group #(v-1).

[0718] As a sub-embodiment of the above embodiment, the second given vector subset is a vector subset in the vector group #(v-1) corresponding to the first given vector group.

[0719] Embodiment 13

[0720] Embodiment 13 illustrates a schematic diagram of at least one matrix according to an embodiment of the present application; Fig.13As shown. In embodiment 13, the at least one matrix depends on the first vector group set; the at least one matrix includes V matrices, the V matrices are respectively for V layers, and the number of columns of each matrix in the V matrices is equal to the N3 multiplied by the N4; all columns of each matrix in the V matrices are divided into N4 groups, the N4 groups are respectively for N4 time windows, and the N4 time windows are mutually orthogonal; the N3 columns in each group are respectively for the N3 PRB groups; the number of vector groups in the first vector group set is equal to V, the V vector groups in the first vector group set are respectively for V layers, the number of vectors included in each vector group in the first vector group set is equal to Q, and the dimension of any vector in the first vector group set is equal to N4.

[0721] In the attached Fig.13 In the formula, matrix #(v-1) represents the matrix corresponding to the vth layer in the V matrices, vector group #(v-1) represents the vector group corresponding to the vth layer in the first vector group set, and v is any positive integer not greater than V; the N4 time windows are represented by time window #0, ..., time window #(N4-1); the N4 groups of columns in the matrix #(v-1) are represented by group #0, ..., group #(N4-1), and the N3 columns in each group are represented by column #0, ..., column #(N3-1); the Q vectors in the vector group #(v-1) are represented by vector #0, ..., vector #(Q-1).

[0722] As an embodiment, the number of rows of each of the V matrices is equal to the number of ports of an RS resource in the first RS resource set.

[0723] As an embodiment, the N3 columns in the i-th group of the matrix #(v-1) are respectively the precoding vectors for the v-th layer of the N3 PRB groups in the i-th time window; i is any positive integer not greater than N4.

[0724] As an embodiment, the V matrices depend on the L vectors, the V vector groups, the first vector group set and the V coefficient sets.

[0725] As an embodiment, the matrix #(v-1) is obtained by matrix operation of the first matrix, the given coefficient matrix and the fourth matrix; the first matrix is ​​equal to the second matrix and The Kronecker product of , the second matrix consists of the L vectors as L columns, the given coefficient matrix depends on the coefficients in the coefficient set corresponding to the v-th layer in the V coefficient sets, the fourth matrix depends on the vector group corresponding to the v-th layer in the V vector groups, and the vector group #(v-1); the v is any positive integer not greater than the V.

[0726] As a sub-embodiment of the above embodiment, the fourth matrix depends on the Kronecker product of the fifth matrix and the sixth matrix; the fifth matrix is ​​composed of vectors in the V vector groups and the vector group corresponding to the vth layer as column vectors, and the sixth matrix is ​​composed of vectors in the vector group #(v-1) as column vectors.

[0727] As a preferred embodiment of the above sub-embodiment, the fourth matrix is ​​obtained by multiplying each element of all or part of the elements in the matrix obtained by Kronecker product of the fifth matrix and the sixth matrix by a factor.

[0728] Embodiment 14

[0729] Embodiment 14 illustrates a schematic diagram of a second CSI dependent first encoder according to an embodiment of the present application; Fig.14 shown.

[0730] As an embodiment, the generator for generating the second CSI is the first encoder.

[0731] As an embodiment, the second CSI depends on the output of the first encoder.

[0732] As an embodiment, the output of the first encoder is used to generate the second CSI.

[0733] As an embodiment, the output of the first encoder includes the second CSI.

[0734] As an embodiment, the second CSI is the output of the first encoder.

[0735] As an embodiment, the output of the first encoder is quantized and used to generate the second CSI.

[0736] As an embodiment, the output of the first encoder is subjected to quantization, CRC (Cyclic redundancy check) attachment, channel coding, and rate matching, in part or in whole, to generate the second CSI.

[0737] As an embodiment, the output of the first encoder includes compressed CSI.

[0738] As an embodiment, the output of the first encoder is used to determine at least one precoding matrix.

[0739] As an embodiment, the input of the first encoder depends on channel measurement obtained based on the first RS resource set.

[0740] As an embodiment, the first node obtains a channel measurement for calculating an input of the first encoder based on the first RS resource set.

[0741] As an embodiment, the first node obtains a channel measurement for calculating an input of the first encoder based on a transmission opportunity of a CSI reference resource of the first RS resource set that is no later than the first CSI.

[0742] As an embodiment, the first node obtains a channel measurement for calculating an input of the first encoder based on a transmission opportunity of a CSI reference resource of the first RS resource set that is no later than that of the second CSI.

[0743] As an embodiment, the input of the first encoder includes CSI.

[0744] As an embodiment, the input of the first encoder includes a channel matrix.

[0745] As an embodiment, the input of the first encoder includes an original channel matrix.

[0746] As an embodiment, the input of the first encoder includes a feature vector.

[0747] As an embodiment, the input of the first encoder includes an uncompressed channel matrix or eigenvector.

[0748] As an embodiment, the input of the first encoder includes all or part of the information obtained after matrix decomposition of the channel matrix.

[0749] As an embodiment, the measurement of the first RS resource set is used to generate at least one channel matrix, and the at least one channel matrix is ​​used to generate an input of the first encoder.

[0750] As an embodiment, the at least one channel matrix is ​​only available to the first node.

[0751] As an embodiment, the first CSI and the second CSI depend on the at least one channel matrix.

[0752] As an embodiment, the at least one channel matrix is ​​used to generate the first CSI and the second CSI.

[0753] As an embodiment, the input of the first encoder includes the at least one channel matrix.

[0754] As an embodiment, the input of the first encoder includes information of elements in the at least one channel matrix.

[0755] As an embodiment, the input of the first encoder includes an eigenvector of the at least one channel matrix.

[0756] As an embodiment, the input of the first encoder includes all or part of the information obtained after matrix decomposition of the at least one channel matrix.

[0757] As an embodiment, the channel parameters recovered by the target receiver of the second CSI based on the output of the first encoder are unknown to the first node.

[0758] As an embodiment, the output of the first encoder does not belong to the CSI defined in 3GPP Rel-17, nor does it belong to the CSI defined in versions before 3GPP Rel-17.

[0759] As an embodiment, the first encoder is non-linear.

[0760] As an embodiment, the first encoder is non-codebook.

[0761] As an embodiment, a load size of any input of the first encoder is larger than a load size of an output of the first encoder corresponding to the any input.

[0762] As an embodiment, the first encoder is based on artificial intelligence or machine learning.

[0763] As an embodiment, the first encoder is based on a neural network.

[0764] As an embodiment, the first encoder includes a neural network for CSI compression.

[0765] As an embodiment, the first encoder includes a neural network encoder for CSI compression.

[0766] As an embodiment, the first encoder includes an encoder for CSI compression based on CNN (Conventional Neural Networks).

[0767] As an embodiment, the training for obtaining the first encoder is performed at the first node.

[0768] Benefits of the above method include avoiding the overhead required to transmit the first encoder.

[0769] As an embodiment, the training for obtaining the first encoder is performed at the target receiver of the second CSI.

[0770] The benefits of the above method include: supporting joint training and optimizing the performance of CSI compression.

[0771] As an embodiment, the target receiver of the first node and the second CSI adopts the same training model.

[0772] Benefits of the above approach include: Improved performance.

[0773] As an embodiment, the target receivers of the first node and the second CSI adopt different training models.

[0774] As an embodiment, when the first node and the target receiver of the second CSI adopt different training models, their understandings of the second CSI may be different.

[0775] The benefits of the above method include: increasing the freedom of hardware manufacturers.

[0776] As an embodiment, the training model includes a model for obtaining the training of the first encoder.

[0777] As an embodiment, the training model includes a model for obtaining the training of the first decoder.

[0778] As an embodiment, the training is based on a training data set, and measurements of a first type of wireless signal are used to generate the training data set, where the first type of wireless signal includes a downlink RS.

[0779] As an embodiment, the first encoder includes K1 sub-processings, where K1 is a positive integer greater than 1; the K1 sub-processings include one or more of convolution, pooling, cascading or activation.

[0780] As an embodiment, there is a sub-processing among the K1 sub-processings including a fully connected layer.

[0781] As an embodiment, one of the K1 sub-processes includes a pooling layer.

[0782] As an embodiment, there is a sub-processing among the K1 sub-processings including at least one convolutional layer.

[0783] As an embodiment, there is a sub-processing among the K1 sub-processings including at least one coding layer.

[0784] As an embodiment, there are two sub-processes in the K1 sub-processes, each of which includes a fully connected layer and at least one encoding layer.

[0785] As an embodiment, a coding layer includes at least one convolutional layer and one pooling layer.

[0786] As an embodiment, in the convolution layer, at least one convolution kernel is used to convolve the input of the first encoder to generate a corresponding feature map, and at least one feature map output by the convolution layer is reshaped into a vector input to the fully connected layer; the fully connected layer converts the one vector into the output of the first encoder.

[0787] As an embodiment, part or all of the convolution kernel size, number of convolution layers, convolution step size, pooling kernel size, pooling kernel step size, pooling function, activation function or number of feature maps of the first encoder are obtained through training.

[0788] As an embodiment, part or all of the convolution kernel, pooling kernel, pooling function, activation function, parameters of the pooling function or parameters of the activation function of the first encoder are obtained through training.

[0789] As an embodiment, the input of the first encoder depends on the first CSI.

[0790] The benefits of the above method include: improving the accuracy of the second CSI and optimizing the performance of CSI reporting.

[0791] As an embodiment, measurements of the first RS resource set are used to generate at least one channel matrix, a first vector set depends on the first CSI, the first vector set is used to determine at least one subspace, and a projection of a channel matrix in the at least one channel matrix on the at least one subspace is used to determine an input of the first encoder.

[0792] As an embodiment, measurements of the first RS resource set are used to generate at least one channel matrix, a first vector set and a first coefficient set depend on the first CSI, the first vector set and the first coefficient set are used to determine at least one subspace, and a projection of the channel matrix in the at least one channel matrix on the at least one subspace is used to determine the input of the first encoder.

[0793] As an embodiment, the at least one subspace is spanned by multiple vectors in the first vector set.

[0794] As an embodiment, the at least one subspace is spanned by weighting multiple vectors in the first vector set with coefficients in the first coefficient set.

[0795] As an embodiment, measurements of the first RS resource set are used to generate at least one channel matrix, a first vector set depends on the first CSI, the first vector set is used to determine at least one reference matrix, and the at least one channel matrix and the at least one reference matrix are used to generate input of the first encoder through mathematical operations and matrix operations.

[0796] As an embodiment, the first vector set includes the L vectors.

[0797] As an embodiment, the first vector set includes part or all of the vectors in the V vector groups.

[0798] As an embodiment, the first vector set includes part or all of the vectors in the first vector group set.

[0799] As an embodiment, the first coefficient set includes some coefficients in the V coefficient sets.

[0800] As an embodiment, the at least one channel matrix is ​​used to generate the first CSI.

[0801] As an embodiment, the at least one channel matrix is ​​used to generate the first set of vectors.

[0802] As an embodiment, the first CSI is generated in accordance with a codebook method of 3GPP R17 or before R17, using the at least one channel matrix as input.

[0803] As an embodiment, the first CSI is generated in accordance with a Type II codebook with the at least one channel matrix as input.

[0804] As an embodiment, the training for obtaining the first encoder relies on a codebook on which the first CSI is based.

[0805] As an embodiment, the training for obtaining the first encoder relies on a Type II codebook on which the first CSI is based.

[0806] The benefits of the above method include: optimizing CSI based on artificial intelligence or machine learning, and optimizing the accuracy of CSI reporting.

[0807] As an embodiment, at least one target matrix depends on the at least one channel matrix, and a first vector set is generated in accordance with a Type II codebook with the at least one channel matrix as input; channel parameters recovered based on the output of the first encoder and the first vector set are used together to generate the at least one matrix, and the purpose of the training for obtaining the first encoder includes minimizing the difference between the at least one matrix and the at least one target matrix.

[0808] As an embodiment, the at least one target matrix is ​​the at least one channel matrix.

[0809] As an embodiment, the at least one target matrix is ​​obtained by matrix decomposition and / or other matrix operations and mathematical operations on the at least one channel matrix.

[0810] As an embodiment, the at least one target matrix is ​​a precoding matrix.

[0811] Generally speaking, how to generate the input of the first encoder is determined by the manufacturer. Some non-limiting implementation methods are described below:

[0812] As an embodiment, the first node obtains a channel matrix {H w , w=1,...,W}; the first node passes {H w}Perform operations to obtain the input of the first encoder, including but not limited to matrix decomposition, projection and other matrix operations and mathematical operations.

[0813] As an embodiment, the first node pair {H w}, and we can get The input of the first encoder depends on {U w},{∑ w} or {V w}At least one of.

[0814] As an embodiment, the first node Decompose each matrix in to get The input of the first encoder depends on {∑ w} and / or {U w}.

[0815] As an embodiment, the first node Decompose each matrix in to get Then for [u1…u W] performs matrix operations to obtain W1, W2 and W3; the input of the first encoder depends on at least W2 among W1, W2 and W3; wherein u w , w=1,...,W is U w A column.

[0816] As a sub-embodiment of the above embodiment,

[0817] As a sub-embodiment of the above embodiment, any two columns of W1 are orthogonal to each other, and any two columns of W3 are orthogonal to each other.

[0818] As an embodiment, the first node W4[u1…u W ] or [u1…u W ]W5 is decomposed, and the input of the first encoder depends on the result after the decomposition; Said The W4 and the W5 depend on the {H w}.

[0819] Embodiment 15

[0820] Embodiment 15 illustrates a schematic diagram of a first decoder according to an embodiment of the present application; Fig.15 In embodiment 15, the target receiver of the second CSI relies on a first decoder based on the channel parameters recovered by the second CSI, and the first decoder is obtained through training.

[0821] As an embodiment, the first decoder and the first encoder are obtained through different training.

[0822] As an embodiment, the first decoder and the first encoder are obtained through independent training.

[0823] As an embodiment, the benefits of the above method include: the target receiver of the first node and the second CSI can train the first encoder and the first decoder respectively, saving air interface overhead, having better flexibility, being able to adapt to different terminals, and having better forward compatibility.

[0824] As an embodiment, the first decoder and the first encoder are obtained through joint training.

[0825] As an embodiment, the benefits of the above method include: optimizing performance.

[0826] As an embodiment, the training of the first decoder depends on the first encoder.

[0827] As an embodiment, the target receiver of the second CSI trains the first decoder according to the output of the first encoder.

[0828] As an embodiment, the target receiver of the second CSI uses the output of the first encoder as the input of the first decoder to train the first decoder.

[0829] As an embodiment, the output of the first decoder includes the channel parameters recovered by the target receiver of the second CSI based on the second CSI.

[0830] As an embodiment, the output of the first decoder is used to generate the channel parameters recovered by the target receiver of the second CSI based on the second CSI.

[0831] Example 16

[0832] Embodiment 16 illustrates a schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of the present application; Fig.16 Attached Fig.16 The invention comprises a second processor, a third processor, a fourth processor and a fifth processor. In Example 16, the second processor sends a first data set to the third processor and sends a second data set to the fourth processor; the third processor generates a target first-category parameter group according to the first data set, and the third processor sends the generated target first-category parameter group to the fourth processor; the fourth processor processes the second data set using the target first-category parameter group to obtain a first-category output, and the fourth processor sends the first-category output to the fifth processor. Fig.16 In the , first and second type of feedback are optional.

[0833] As an embodiment, the fourth processor includes the first encoder.

[0834] As an embodiment, the fifth processor includes the first decoder.

[0835] As an embodiment, the fourth processor sends the first type of feedback to the third processor, and the first type of feedback is used to trigger recalculation or update of the target first type parameter group.

[0836] As an embodiment, the fifth processor sends a second type of feedback to the second processor, and the second type of feedback is used to generate the first data set or the second data set, or the second type of feedback is used to trigger the sending of the first data set or the second data set.

[0837] As an embodiment, the second processor generates the first data set and the second data set based on measurements of a first type of wireless signal, where the first type of wireless signal includes a downlink RS.

[0838] As an embodiment, the fourth processor belongs to the first node, and the fifth processor belongs to the second node.

[0839] As an embodiment, the third processor belongs to the first node.

[0840] The above embodiment avoids transferring the first data set to the second node.

[0841] As an embodiment, the third processor belongs to the second node.

[0842] The above embodiments support joint training and optimize performance.

[0843] As an embodiment, the first data set includes training data (Training Data), the second data set includes inference data (Inference Data), the third processor is used for model training (Model Training), and the trained model is described by the target first type parameter group.

[0844] The above training description is applicable to the first encoder and the first decoder in this application.

[0845] As an embodiment, the fourth processing machine constructs a model according to the target first-category parameter group, and then inputs the second data set into the constructed model to obtain the first-category output.

[0846] As an embodiment, the first encoder is described by the target first-category parameter set.

[0847] As an embodiment, the target first-category parameter group is used to construct the first encoder.

[0848] As an embodiment, the fourth processing machine generates a restored data set according to the first type of output, and an error between the restored data set and the second data set is used to generate the first type of feedback.

[0849] As an embodiment, the first type of feedback is used to reflect the performance of the trained model; when the performance of the trained model cannot meet the requirements, the third processor will recalculate the target first type parameter group.

[0850] As an embodiment, when the error is too large or has not been updated for too long, the performance of the trained model is considered to be unable to meet the requirements.

[0851] As an embodiment, the fourth processor belongs to a second node, and the first node reports the target first-category parameter group to the second node.

[0852] As an embodiment, the target first category parameter group includes: one or more of: convolution kernel size, number of convolution layers, convolution step size, pooling kernel size, pooling kernel step size, pooling function, activation function, or number of feature maps.

[0853] As an embodiment, the target first-category parameter group includes: one or more of a convolution kernel, a pooling kernel, a pooling function, an activation function, parameters of a pooling function, or parameters of an activation function.

[0854] Embodiment 17

[0855] Embodiment 17 illustrates a schematic diagram of a first signaling, a first reporting configuration, a first CSI and a second CSI according to an embodiment of the present application; Fig.17 In embodiment 17, the first signaling triggers a CSI report of a first reporting configuration, and both the first CSI and the second CSI depend on the first reporting configuration.

[0856] As an embodiment, the first signaling includes physical layer signaling.

[0857] As an embodiment, the first signaling includes layer 1 (L1) signaling.

[0858] As an embodiment, the first signaling includes DCI (Downlink Control Information).

[0859] As an embodiment, the first signaling is a DCI.

[0860] As an embodiment, the first signaling is a DCI used for uplink grant (UpLink Grant).

[0861] As an embodiment, the first signaling is DCI format 0_1 ​​or DCI format 0_2.

[0862] As an embodiment, the CRC (Cyclic redundancy check) of the first signaling is scrambled by C (Cell)-RNTI (Radio Network Temporary Identifier).

[0863] As an embodiment, the CRC of the first signaling is scrambled by MCS (Modulation and Coding Scheme)-C-RNTI.

[0864] As an embodiment, the CRC of the first signaling is scrambled by CS (Configured Scheduling)-RNTI.

[0865] As an embodiment, the first signaling includes MAC CE (Medium Access Control layerControl Element).

[0866] As an embodiment, the DCI domain CSI request of the first signaling triggers the CSI reporting of the first reporting configuration.

[0867] As an embodiment, the first signaling indicates a first trigger state, and the first trigger state indicates the first reporting configuration.

[0868] As an embodiment, the DCI domain CSI request of the first signaling indicates the first trigger state.

[0869] As an embodiment, the first trigger state is a CSI trigger state (CSI trigger state).

[0870] As an embodiment, the first trigger state is configured by RRC signaling.

[0871] As an embodiment, the first trigger state is configured by a higher layer parameter 'CSI-AperiodicTriggerStateList'.

[0872] As an embodiment, the higher layer parameter 'CSI-AperiodicTriggerStateList' configures at least one CSI trigger state, and the first trigger state is one of the at least one CSI trigger state.

[0873] As an embodiment, the first trigger state includes information in a CSI-AperiodicTriggerState in the CSI-AperiodicTriggerStateList IE.

[0874] As an embodiment, the first signaling triggers the CSI reporting of the first reporting configuration by indicating the first trigger state.

[0875] As an embodiment, the first signaling indicates a DCI domain 'CSIrequest' code point mapped to the first trigger state.

[0876] As an embodiment, MAC CE is used to map the first trigger state to a code point in the DCI field 'CSI request'.

[0877] As an embodiment, the value of the DCI field 'CSI request' in the first signaling is equal to the DCI field 'CSI request' code point mapped to the first trigger state.

[0878] As an embodiment, the value of the DCI field 'CSI request' in the first signaling is equal to i, and the first trigger state is the i-th CSI trigger state among at least one CSI trigger state configured by a higher layer parameter 'CSI-AperiodicTriggerStateList'; and i is a positive integer.

[0879] As an embodiment, the first trigger status indicates the CSI-ReportConfigId of the first reporting configuration.

[0880] As an embodiment, the first reporting configuration is a CSI reporting configuration.

[0881] As an embodiment, the first reporting configuration is a CSI Reporting setting.

[0882] As an embodiment, the first reporting configuration is a CSI-ReportConfig IE.

[0883] As an embodiment, the first reporting configuration is a CSIReporting setting configured by a CSI-ReportConfig IE.

[0884] As an embodiment, the first reporting configuration is identified by a CSI-ReportConfigId.

[0885] As an embodiment, the first reporting configuration is carried by RRC (Radio Resource Control) signaling.

[0886] As an embodiment, the first reporting configuration is carried by at least one RRC IE (Information Element).

[0887] As an embodiment, the first reporting configuration is configured by at least one RRC IE.

[0888] As an embodiment, the first reporting configuration is an RRC IE.

[0889] As an embodiment, the first reporting configuration is carried by a CSI-ReportConfig IE.

[0890] As an embodiment, the first reporting configuration is configured by a CSI-ReportConfig IE.

[0891] As an embodiment, the first reporting configuration is carried by the CSI-MeasConfig IE.

[0892] As an embodiment, the first reporting configuration is configured by CSI-MeasConfig IE.

[0893] As an embodiment, the first reporting configuration is aperiodic.

[0894] As an embodiment, the first reporting configuration is semi-persistent.

[0895] As an embodiment, the first CSI and the second CSI are generated according to the first reporting configuration.

[0896] As an embodiment, the first reporting configuration indicates (one or more) RS resources used to obtain channel measurement for calculating the first CSI and the second CSI.

[0897] As an embodiment, the first reporting configuration indication is used to obtain (one or more) CSI-RS resources and / or CSI-IM (Channel State Information-Interference Measurement) resources for calculating interference measurement of the first CSI and the second CSI.

[0898] As an embodiment, the first reporting configuration indicates a reporting quantity of the first CSI and the second CSI.

[0899] As an embodiment, the first reporting configuration indicates frequency domain resources involved in the first CSI and the second CSI.

[0900] As an embodiment, the first reporting configuration indicates the values ​​of some or all of the higher-layer parameters "resourcesForChannelMeasurement", "csi-IM-ResourcesForInterference", "reportQuantity", "nzp-CSI-RS-ResourcesForInterference", "reportConfigType", "reportFreqConfiguration", "timeRestrictionForChannelMeasurements", "timeRestrictionForInterferenceMeasurements", "subbandSize" or "codebookConfig" corresponding to the first CSI and the second CSI.

[0901] As an embodiment, the first reporting configuration indicates the first RS resource set.

[0902] As an embodiment, the first reporting configuration indicates that the first RS resource set is used for channel measurement.

[0903] As an embodiment, the RS resources used for channel measurement indicated by the first reporting configuration include the first RS resource set.

[0904] As an embodiment, the 'resourcesForChannelMeasurement' field of the first reporting configuration indicates the first RS resource set.

[0905] As an embodiment, the RS resources used for channel measurement indicated by the first reporting configuration include multiple RS resource sets, the multiple RS resource sets include the first RS resource set, and the first trigger state indicates the first RS resource set from the multiple RS resource sets.

[0906] As an embodiment, the first CSI and the second CSI both depend on the first reporting configuration, which means that the first CSI and the second CSI are respectively CSI included in a CSI report of the first reporting configuration.

[0907] As an embodiment, both the first CSI and the second CSI depend on the first reporting configuration, which means that the first CSI and the second CSI are generated according to the configuration of the first reporting configuration.

[0908] As an embodiment, both the first CSI and the second CSI depend on the first reporting configuration, which means that the first reporting configuration indicates RS resources for obtaining channel measurement for calculating the first CSI and the second CSI.

[0909] As an embodiment, both the first CSI and the second CSI depend on the first reporting configuration, which means that the first reporting configuration indicates the frequency domain resources involved in the first CSI and the second CSI.

[0910] As an embodiment, the W subbands are configured by the first reporting configuration.

[0911] As an embodiment, the candidates for V are configured by the first reporting configuration.

[0912] As an embodiment, the R is configured by the first reporting configuration.

[0913] As an embodiment, the first signaling triggers at least the second CSI among the first CSI and the second CSI.

[0914] As an embodiment, the first CSI is carried by a CSI report configured in the first reporting, and the second CSI is carried by a CSI report configured in the first reporting.

[0915] As an embodiment, the first CSI and the second CSI are carried by the same CSI report of the first reporting configuration.

[0916] As an embodiment, the first CSI and the second CSI are carried by two different CSI reports configured in the first reporting.

[0917] As an embodiment, the CSI report triggered by the second signaling configured in the first reporting carries at least the second CSI among the first CSI and the second CSI.

[0918] As an embodiment, the first signaling triggers the first CSI and the second CSI.

[0919] As an embodiment, the CSI report triggered by the second signaling configured in the first reporting carries the first CSI and the second CSI.

[0920] As an embodiment, the benefits of the above method include: better backward compatibility and minor changes to the standard.

[0921] As an embodiment, the first signaling triggers only the second CSI among the first CSI and the second CSI.

[0922] As an embodiment, the CSI report triggered by the second signaling configured in the first reporting carries only the second CSI out of the first CSI and the second CSI.

[0923] As an embodiment, the first signaling triggers only the second CSI among the first CSI and the second CSI, the second signaling triggers the first CSI, and the second signaling is earlier than the first signaling.

[0924] As an embodiment, the benefits of the above method include: more flexible configuration, and better optimization of reporting accuracy and overhead.

[0925] As an embodiment, the first signaling indicates whether the CSI reporting configured in the first reporting and triggered by the first signaling includes the first CSI or only the second CSI among the first CSI and the second CSI.

[0926] As an embodiment, the first signaling indicates whether the CSI reporting configured in the first reporting and triggered by the first signaling includes codebook-based CSI and first encoder-based CSI or only includes the CSI based on the first encoder.

[0927] As an embodiment, the second signaling includes physical layer signaling.

[0928] As an embodiment, the second signaling includes layer 1 (L1) signaling.

[0929] As an embodiment, the second signaling includes DCI.

[0930] As an embodiment, the second signaling is a DCI.

[0931] As an embodiment, the second signaling is a DCI for uplink granting.

[0932] As an embodiment, the second signaling is DCI format 0_1 ​​or DCI format 0_2.

[0933] As an embodiment, the CRC of the second signaling is scrambled by C-RNT.

[0934] As an embodiment, the CRC of the second signaling is scrambled by MCS-C-RNTI.

[0935] As an embodiment, the CRC of the second signaling is scrambled by the CS-RNTI.

[0936] As an embodiment, the second signaling includes MAC CE.

[0937] As an embodiment, the first signaling and the second signaling are two DCIs respectively.

[0938] As an embodiment, the second signaling is transmitted on the PDCCH.

[0939] As an embodiment, the first signaling triggers the first node to receive RS in the first RS resource set.

[0940] Embodiment 18

[0941] Embodiment 18 illustrates a structural block diagram of a processing device used in a first node according to an embodiment of the present application; Fig.18 As shown in the attached Fig.18 In the embodiment, the processing device 1800 in the first node includes a first receiver 1801 and a first transmitter 1802.

[0942] In Embodiment 18, the first receiver 1801 receives RS in the first RS resource set; the first transmitter 1802 sends the first CSI and the second CSI.

[0943] In Embodiment 18, at least one matrix depends on the first CSI and the second CSI, and the at least one matrix is ​​used for precoding; both the first CSI and the second CSI depend on channel measurement obtained based on the first RS resource set, the first CSI is based on a codebook, and the second CSI conforms to at least one of the following:

[0944] A channel parameter restored by a target receiver of the second CSI based on the second CSI is unknown to the first node;

[0945] The generator for generating the second CSI is obtained based on training;

[0946] The second CSI does not belong to the CSI defined in 3GPP R17, nor does it belong to the CSI defined in a version before 3GPP R17.

[0947] As an embodiment, each matrix of the at least one matrix is ​​a precoding matrix, the frequency domain resources involved in the first CSI and the frequency domain resources involved in the second CSI are both W subbands, and the W subbands are configured by higher-layer parameters; the first RS resource set includes only one RS resource, or the first RS resource set includes multiple RS resources, and the multiple RS resources have the same number of ports.

[0948] As an embodiment, the second CSI is calculated based on the first CSI.

[0949] As an embodiment, the first CSI is based on a Type II codebook.

[0950] As an embodiment, L vectors depend on the first CSI, V coefficient sets depend on the second CSI, and the at least one matrix depends on the L vectors and the V coefficient sets; the L is a positive integer greater than 1, the L is configurable, and the V is a positive integer.

[0951] As a sub-embodiment of the above embodiment, V is the number of layers, and the V coefficient sets are respectively for the V layers.

[0952] As an embodiment, V vector groups depend on at least one of the first CSI and the second CSI, and V is a positive integer; each of the V vector groups includes multiple vectors, and the number of vectors included in each of the V vector groups is configurable; and the at least one matrix depends on the V vector groups.

[0953] As a sub-embodiment of the above embodiment, V is the number of layers, and the V vector groups are respectively for the V layers.

[0954] As an embodiment, the first vector group set depends on at least one of the first CSI and the second CSI, the number of vector groups in the first vector group set is equal to V, and V is a positive integer; the number of vectors included in each vector group in the first vector group set is equal to Q, and Q is configurable and is a positive integer; the at least one matrix depends on the first vector group set.

[0955] As a sub-embodiment of the above embodiment, V is the number of layers, and the V vector groups in the first vector group set are respectively for the V layers.

[0956] As an embodiment, the second CSI depends on a first encoder, and the first encoder is obtained based on training.

[0957] As a sub-embodiment of the above embodiment, the generator for generating the second CSI is the first encoder.

[0958] As an embodiment, the first receiver 1801 receives a first signaling, and the first signaling triggers a CSI report of a first reporting configuration; wherein the first CSI and the second CSI both depend on the first reporting configuration.

[0959] As an embodiment, the first node device is a user equipment.

[0960] As an embodiment, the first node device is a relay node device.

[0961] As an embodiment, the first receiver 1801 includes at least one of {antenna 452, receiver 454, receiving processor 456, multi-antenna receiving processor 458, controller / processor 459, memory 460, data source 467} in Embodiment 4.

[0962] As an embodiment, the first transmitter 1802 includes at least one of {antenna 452, transmitter 454, transmit processor 468, multi-antenna transmit processor 457, controller / processor 459, memory 460, data source 467} in Embodiment 4.

[0963] Embodiment 19

[0964] Embodiment 19 illustrates a structural block diagram of a processing device used in a second node according to an embodiment of the present application; Fig.19 As shown in the attached Fig.19 In the embodiment, the processing device 1900 in the second node includes a second transmitter 1901 and a second receiver 1902.

[0965] In Embodiment 19, the second transmitter 1901 transmits RS in the first RS resource set; the second receiver 1902 receives the first CSI and the second CSI.

[0966] In Embodiment 19, at least one matrix depends on the first CSI and the second CSI, and the at least one matrix is ​​used for precoding; both the first CSI and the second CSI depend on channel measurement obtained based on the first RS resource set, the first CSI is based on a codebook, and the second CSI conforms to at least one of the following:

[0967] The channel parameters recovered by the second node based on the second CSI are unknown to the sender of the second CSI;

[0968] The generator for generating the second CSI is obtained based on training;

[0969] The second CSI does not belong to the CSI defined in 3GPP R17, nor does it belong to the CSI defined in a version before 3GPP R17.

[0970] As an embodiment, each matrix of the at least one matrix is ​​a precoding matrix, the frequency domain resources involved in the first CSI and the frequency domain resources involved in the second CSI are both W subbands, and the W subbands are configured by higher-layer parameters; the first RS resource set includes only one RS resource, or the first RS resource set includes multiple RS resources, and the multiple RS resources have the same number of ports.

[0971] As an embodiment, the second CSI is calculated based on the first CSI.

[0972] As an embodiment, the first CSI is based on a Type II codebook.

[0973] As an embodiment, L vectors depend on the first CSI, V coefficient sets depend on the second CSI, and the at least one matrix depends on the L vectors and the V coefficient sets; the L is a positive integer greater than 1, the L is configurable, and the V is a positive integer.

[0974] As a sub-embodiment of the above embodiment, V is the number of layers, and the V coefficient sets are respectively for the V layers.

[0975] As an embodiment, V vector groups depend on at least one of the first CSI and the second CSI, and V is a positive integer; each of the V vector groups includes multiple vectors, and the number of vectors included in each of the V vector groups is configurable; and the at least one matrix depends on the V vector groups.

[0976] As a sub-embodiment of the above embodiment, V is the number of layers, and the V vector groups are respectively for the V layers.

[0977] As an embodiment, the first vector group set depends on at least one of the first CSI and the second CSI, the number of vector groups in the first vector group set is equal to V, and V is a positive integer; the number of vectors included in each vector group in the first vector group set is equal to Q, and Q is configurable and is a positive integer; the at least one matrix depends on the first vector group set.

[0978] As a sub-embodiment of the above embodiment, V is the number of layers, and the V vector groups in the first vector group set are respectively for the V layers.

[0979] As an embodiment, the second CSI depends on a first encoder, and the first encoder is obtained based on training.

[0980] As a sub-embodiment of the above embodiment, the generator for generating the second CSI is the first encoder.

[0981] As an embodiment, the second transmitter sends a first signaling, and the first signaling triggers a CSI report of a first reporting configuration; wherein the first CSI and the second CSI both depend on the first reporting configuration.

[0982] As an embodiment, the second node is a base station.

[0983] As an embodiment, the second node is user equipment.

[0984] As an embodiment, the second node is a relay node.

[0985] As an embodiment, the second transmitter 1901 includes at least one of {antenna 420, transmitter 418, transmit processor 416, multi-antenna transmit processor 471, controller / processor 475, memory 476} in Embodiment 4.

[0986] As an embodiment, the second receiver 1902 includes at least one of {antenna 420, receiver 418, receiving processor 470, multi-antenna transmitting processor 471, controller / processor 475, memory 476} in Embodiment 4.

[0987] A person of ordinary skill in the art can understand that all or part of the steps in the above method can be completed by instructing the relevant hardware through a program, and the program can be stored in a computer-readable storage medium, such as a read-only memory, a hard disk or an optical disk. Optionally, all or part of the steps in the above embodiment can also be implemented using one or more integrated circuits. Accordingly, each module unit in the above embodiment can be implemented in the form of hardware or in the form of a software function module, and the present application is not limited to any specific form of software and hardware combination. The user equipment, terminal and UE in the present application include but are not limited to drones, communication modules on drones, remote-controlled aircraft, aircraft, small aircraft, mobile phones, tablet computers, notebooks, vehicle-mounted communication equipment,, transportation, vehicles, RSU, wireless sensors, Internet cards, Internet of Things terminals, RFID terminals, NB-IOT terminals, MTC (Machine Type Communication, Machine Type Communication) terminals, eMTC (enhancedMTC, enhanced MTC) terminals, data cards, Internet cards, vehicle-mounted communication equipment, low-cost mobile phones, low-cost tablet computers and other wireless communication devices. The base stations or system equipment in this application include but are not limited to macrocell base stations, microcell base stations, small cell base stations, home base stations, relay base stations, eNB, gNB, TRP (Transmitter Receiver Point), GNSS, relay satellites, satellite base stations, aerial base stations, RSU (Road Side Unit), drones, test equipment, such as wireless communication equipment such as transceivers or signaling testers that simulate some functions of base stations.

[0988] It should be understood by those skilled in the art that the present invention may be implemented in other specified forms without departing from its core or essential features. Therefore, the embodiments disclosed herein should be considered illustrative rather than restrictive in any way. The scope of the invention is determined by the appended claims rather than the preceding description, and all modifications within their equivalent meanings and regions are considered to be included therein.

Claims

1. A first node used for wireless communication, characterized in that: include: A first receiver receives RS in a first RS resource set; A first transmitter transmits a first CSI and a second CSI, at least one matrix depends on the first CSI and the second CSI, and the at least one matrix is ​​used for precoding; The first CSI and the second CSI both rely on channel measurement obtained based on the first RS resource set, the first CSI is based on a codebook, and the second CSI meets at least one of the following conditions: A channel parameter restored by a target receiver of the second CSI based on the second CSI is unknown to the first node; The generator for generating the second CSI is obtained based on training; The second CSI does not belong to the CSI defined in 3GPP R17, nor does it belong to the CSI defined in a version before 3GPP R17.

2. The first node according to claim 1, characterized in that: The first CSI is based on a Type II codebook.

3. The first node according to claim 1 or 2, characterized in that: L vectors depend on the first CSI, V coefficient sets depend on the second CSI, and the at least one matrix depends on the L vectors and the V coefficient sets; the L is a positive integer greater than 1, the L is configurable, and the V is a positive integer.

4. The first node according to any one of claims 1 to 3, characterized in that: V vector groups depend on at least one of the first CSI and the second CSI, and V is a positive integer; each of the V vector groups includes multiple vectors, and the number of vectors included in each of the V vector groups is configurable; and the at least one matrix depends on the V vector groups.

5. The first node according to any one of claims 1 to 4, characterized in that: The first vector group set depends on at least one of the first CSI and the second CSI, the number of vector groups in the first vector group set is equal to V, and V is a positive integer; the number of vectors included in each vector group in the first vector group set is equal to Q, and Q is configurable and is a positive integer; the at least one matrix depends on the first vector group set.

6. The first node according to any one of claims 1 to 5, characterized in that: The second CSI depends on a first encoder, and the first encoder is obtained based on training.

7. The first node according to any one of claims 1 to 6, characterized in that: The first receiver receives a first signaling, where the first signaling triggers a CSI report of a first reporting configuration; wherein both the first CSI and the second CSI depend on the first reporting configuration.

8. A second node used for wireless communication, characterized in that: include: A second transmitter sends RS in a first RS resource set; a second receiver receiving a first CSI and a second CSI, at least one matrix depending on the first CSI and the second CSI, the at least one matrix being used for precoding; The first CSI and the second CSI both rely on channel measurement obtained based on the first RS resource set, the first CSI is based on a codebook, and the second CSI meets at least one of the following conditions: The channel parameters recovered by the second node based on the second CSI are unknown to the sender of the second CSI; The generator for generating the second CSI is obtained based on training; The second CSI does not belong to the CSI defined in 3GPP R17, nor does it belong to the CSI defined in a version before 3GPP R17.

9. A method in a first node for wireless communication, characterized in that: include: Receiving RS in a first RS resource set; sending a first CSI and a second CSI, at least one matrix depending on the first CSI and the second CSI, the at least one matrix being used for precoding; The first CSI and the second CSI both rely on channel measurement obtained based on the first RS resource set, the first CSI is based on a codebook, and the second CSI complies with at least one of the following: A channel parameter restored by a target receiver of the second CSI based on the second CSI is unknown to the first node; The generator for generating the second CSI is obtained based on training; The second CSI does not belong to the CSI defined in 3GPP R17, nor does it belong to the CSI defined in a version before 3GPP R17.

10. A method in a second node for wireless communication, characterized in that: include: Sending RS in a first RS resource set; receiving first CSI and second CSI, at least one matrix depending on the first CSI and the second CSI, the at least one matrix being used for precoding; The first CSI and the second CSI both rely on channel measurement obtained based on the first RS resource set, the first CSI is based on a codebook, and the second CSI complies with at least one of the following: The channel parameters recovered by the second node based on the second CSI are unknown to the sender of the second CSI; The generator for generating the second CSI is obtained based on training; The second CSI does not belong to the CSI defined in 3GPP R17, nor does it belong to the CSI defined in a version before 3GPP R17.

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