Channel state information feedback method and device and computer readable medium

Abstract

The invention provides a channel state information feedback method, and base station equipment sends resource configuration information comprising a CSI resource set for beam management and a mapping relation between a CSI resource subset for beam management and a transmitting antenna group to user equipment in a beam management process, and sending the RS used for beam management to the user equipment according to the channel state information and report configuration information comprising target transmitting antenna group information, thereby multiplexing the RS used for beam management and CSI resources. The user equipment determines first channel information of the target CSI resource subset according to the RS for beam management, and determines second channel information according to the first channel information, thereby performing CSI feedback according to the second information; according to the embodiment of the invention, the CSI feedback can recover and obtain the full-channel state information by borrowing the RS managed by the beam, the system resources can be reduced, and the system transmission efficiency can be improved. The invention also provides base station equipment, user equipment and a computer readable medium.

Description

Technical Field

[0001] The present disclosure relates to the field of communication technologies, and particularly to a method, device, and computer-readable medium for channel state information feedback. Background Art

[0002] In 5G NR (New Radio), channel state feedback is an important communication process that allows a user equipment (UE) to provide information about the quality and characteristics of a radio channel to a base station (gNB). This feedback information is crucial for scheduling, beam management, and other radio resource allocation decisions. During the CSI (Channel State Information-Reference Signal) feedback process, the UE receiving CSI-RS causes resource overhead in the system. For example, transmitting periodic CSI-RS leads to a large amount of periodic resource occupancy.

[0003] Related technologies have proposed an event-based beam quality reporting method, such as aperiodic beam quality reporting, to achieve more flexible CSI feedback or scheduling control while avoiding the large resource overhead caused by periodic transmission. However, aperiodic CSI-RS requires more complex signal design and scheduling algorithms to determine the transmission time and location, which increases the system complexity and algorithm overhead. In addition, there is still resource overhead for feedback CSI-RS at aperiodic times or events. Summary of the Invention

[0004] The present disclosure provides a method, device, and computer-readable medium for channel state information feedback.

[0005] In a first aspect, an embodiment of the present disclosure provides a method for channel state information feedback, which is applied to a base station device. The transmitting antennas of the base station device include at least one transmitting antenna group. The method includes:

[0006] In a beam management process, sending resource configuration information for channel state information (CSI) feedback to a user equipment. The resource configuration information includes a CSI resource set for beam management and a mapping relationship between a pre-set CSI resource subset for beam management and the transmitting antenna group. The CSI resource set for beam management includes at least one CSI resource subset;

[0007] Sending reporting configuration information for CSI feedback to the user equipment. The reporting configuration information includes target transmitting antenna group information;

[0008] Sending a reference signal (RS) for beam management to the user equipment;

[0009] Among them, the resource configuration information and the reporting configuration information are used to instruct the user equipment to determine first channel information of a target CSI resource subset according to the RS for beam management, and determine second channel information for CSI feedback according to the first channel information, where the target CSI resource subset is the CSI resource subset corresponding to the target transmit antenna group information.

[0010] In another aspect, an embodiment of the present disclosure provides a method for channel state information feedback, which is applied to a user equipment. The method includes:

[0011] Receiving resource configuration information for channel state information (CSI) feedback and reporting configuration information for CSI feedback sent by a base station device; among them, the resource configuration information includes a CSI resource set for beam management and a mapping relationship between a preset CSI resource subset and a transmit antenna group, and the CSI resource set for beam management includes at least one CSI resource subset; the reporting configuration information includes target transmit antenna group information;

[0012] Determining a target CSI resource subset corresponding to the target transmit antenna group information according to the mapping relationship, and receiving a reference signal (RS) for beam management sent by the base station device on the CSI resources of the target CSI resource subset;

[0013] Determining first channel information of the target CSI resource subset according to the RS;

[0014] Determining second channel information according to the first channel information, where the second channel information is full channel information and is used for CSI feedback.

[0015] In another aspect, an embodiment of the present disclosure further provides a base station device, including: one or more processors; a storage device on which one or more programs are stored; when the one or more programs are executed by the one or more processors, enabling the one or more processors to implement the channel state information feedback method as described above; one or more I / O interfaces connected between the processor and the storage device and configured to implement information interaction between the processor and the storage device.

[0016] In another aspect, an embodiment of the present disclosure further provides a user equipment, including: one or more processors; a storage device on which one or more programs are stored; when the one or more programs are executed by the one or more processors, enabling the one or more processors to implement the channel state information feedback method as described above; one or more I / O interfaces connected between the processor and the storage device and configured to implement information interaction between the processor and the storage device.

[0017] In another aspect, an embodiment of the present disclosure further provides a computer-readable medium, on which a computer program is stored, and when the program is executed, the method for feedback of channel state information as described above is implemented.

[0018] In the method for feedback of channel state information provided by the embodiment of the present disclosure, in the beam management process, the base station device sends resource configuration information including a CSI resource set for beam management and a mapping relationship between a CSI resource subset for beam management and a transmit antenna group, and reporting configuration information including target transmit antenna group information to the user equipment, and sends RS for beam management to the user equipment, so as to multiplex the RS and CSI resources for beam management; the user equipment determines first channel information of a target CSI resource subset according to the RS for beam management, and determines second channel information according to the first channel information, so as to perform CSI feedback according to the second information; in the embodiment of the present disclosure, by performing resource configuration and reporting configuration on the resources for CSI feedback in the form of transmit antenna grouping, and introducing a channel recovery technology, the CSI feedback borrowing the RS of beam management can recover the full channel state information, thereby reducing system resources and improving system transmission efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a schematic diagram of the channel state information feedback process with the base station device as the execution subject provided by the embodiment of the present disclosure;

[0020] Figure 2 It is a schematic diagram of the overall channel state information feedback process provided by the embodiment of the present disclosure;

[0021] Figure 3 It is a schematic diagram of establishing a mapping relationship between a CSI resource subset for beam management and a transmit antenna group provided by the embodiment of the present disclosure;

[0022] Figure 4 It is a schematic diagram of the channel state information feedback process with the user equipment as the execution subject provided by the embodiment of the present disclosure;

[0023] Figure 5 It is a schematic diagram of the full channel state information recovery process provided by the embodiment of the present disclosure;

[0024] Figure 6 It is a schematic diagram of the working process of the classification model provided by the embodiment of the present disclosure;

[0025] Figure 7 It is a schematic diagram of the structure of the classification model provided by the embodiment of the present disclosure;

[0026] Figure 8 It is a schematic diagram of the training and application process of the classification model provided by the embodiment of the present disclosure;

[0027] Figure 9a Schematic diagram of channel recovery provided for Specific Example 1 of the present disclosure;

[0028] Figure 9b Schematic diagram of channel recovery provided for Specific Example 2 of the present disclosure;

[0029] Figure 9c Schematic diagram of channel recovery provided for Specific Example 3 of the present disclosure;

[0030] Figure 10 Schematic diagram of the structures of a base station device and a user equipment provided for an embodiment of the present disclosure. Specific implementation manners

[0031] In the following, example embodiments will be described more fully with reference to the accompanying drawings. However, the example embodiments may be embodied in different forms and should not be construed as limited to the embodiments set forth herein. On the contrary, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of this disclosure to those skilled in the art.

[0032] As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0033] The terms used herein are for the purpose of describing particular embodiments only and are not intended to limit this disclosure. As used herein, the singular forms "a" and "the" are also intended to include the plural forms unless the context clearly indicates otherwise. It will also be understood that when the terms "comprises" and / or "is made of" are used in this specification, the specified features, wholes, steps, operations, elements, and / or components are present, but do not preclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or groups thereof.

[0034] The embodiments described herein may be described with reference to plan views and / or cross-sectional views by means of idealized schematic diagrams of the present disclosure. Accordingly, the example illustrations may be modified according to manufacturing techniques and / or tolerances. Therefore, the embodiments are not limited to the embodiments shown in the drawings, but include modifications of configurations formed based on manufacturing processes. Accordingly, the regions illustrated in the drawings have schematic properties, and the shapes of the regions shown in the drawings illustrate the specific shapes of the regions of the elements, but are not intended to be restrictive.

[0035] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art. It will also be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and this disclosure, and will not be interpreted as having an idealized or overly formal meaning unless expressly so defined herein.

[0036] CSI feedback refers to a way of channel negotiation between a UE and a gNB, which plays an important role in a communication system. The process of CSI feedback between the UE and the gNB is as follows: The gNB configures the feedback parameter information for CSI indication, which is used to indicate which of the information such as CQI (Channel Quality Indicator), PMI (Precoding Matrix Indicator), and RI (Rank Indication) that the UE needs to feedback; and based on the configuration information, sends the RS (Reference Signal) for CSI measurement to the UE, such as SSB (Synchronization Signal Block) or CSI-RS (Channel State Information-Reference Signal). The UE obtains the RS containing channel information through the measurement of the above RS signals, that is, CSI measurement. On this basis, the UE performs channel estimation, CSI calculation, CSI scheduling in sequence, and finally reports CSI to the gNB. After obtaining the CSI report information, the gNB performs adaptive scheduling for each user, including beam, coding, MCS (Modulation and Coding Scheme) scheduling, etc., so as to realize the entire CSI feedback process.

[0037] When performing the CSI measurement process of CSI feedback, it will cause a large amount of resource occupation. A process very similar to the CSI measurement process in a communication system is the reference signal measurement in the beam management process, but the signals sent by the two are different. The reference signal for beam management is used in a complex multi-antenna system and needs to go through the beamforming process; while the reference signal for channel state feedback is usually sent and collected in a non-beamforming manner in order to better restore the channel state information. In the traditional method, the reference signal measurement of channel state feedback can be used to improve the beam management performance, but it is difficult to use the reference signal for beam management to extract the channel state information and thus improve the channel state feedback performance. The two similar measurement processes are independent of each other, resulting in a waste of transmission resources.

[0038] To solve the above problems, the disclosed embodiments provide a method for channel state information feedback, which is applied to a base station device, and the transmitting antennas of the base station device include at least one transmitting antenna group. Figure 1 Schematic diagram of the channel state information feedback process with the base station device as the execution subject provided by the disclosed embodiments of the present disclosure Figure 2 Schematic diagram of the overall channel state information feedback process provided by the disclosed embodiments of the present disclosure. Combining Figure 1 andFigure 2 As shown, the method includes the following steps:

[0039] Step S11: In the beam management process, send resource configuration information for CSI feedback to the user equipment. The resource configuration information includes a CSI resource set for beam management and a mapping relationship between a pre-set CSI resource subset for beam management and a transmit antenna group. The CSI resource set for beam management includes at least one CSI resource subset.

[0040] In the initialization phase, the gNB divides the CSI resources for beam management into multiple CSI resource subsets. Each CSI resource subset has the same physical transmit antenna port. That is to say, the gNB divides the CSI-RS resource subsets according to the physical ports of the transmit antennas. The same CSI-RS resource subset corresponds to the physical ports of the same multiple transmit antennas; establish a transmit antenna group including the serial numbers of the physical ports of the transmit antennas, and establish a mapping relationship between each CSI resource subset for beam management and each transmit antenna group to indicate the physical ports of the transmit antennas corresponding to the CSI resource subset. In the beam management process, the gNB sends the resource configuration information for CSI feedback, which includes the CSI resource set for beam management and the mapping relationship between the CSI resource subset for beam management and the transmit antenna group, to the UE.

[0041] Step S12: Send reporting configuration information for CSI feedback to the user equipment. The reporting configuration information includes target transmit antenna group information.

[0042] To complete the CSI feedback configuration, the gNB also needs to configure the reporting configuration information required for CSI feedback to the UE. The reporting configuration information includes target transmit antenna group information, and the target transmit antenna group information can be the identifier of the transmit antenna group corresponding to the CSI feedback. It should be noted that the reporting configuration information can also include the number N of physical ports of the target transmit antenna group tx .

[0043] Step S13: Send the RS for beam management to the user equipment.

[0044] The resource configuration information and the reporting configuration information are used to instruct the user equipment to determine the first channel information of the target CSI resource subset according to the RS for beam management, and determine the second channel information for CSI feedback according to the first channel information. The target CSI resource subset is the CSI resource subset corresponding to the target transmit antenna group information.

[0045] After the UE receives the resource configuration information, reporting configuration information for CSI feedback, and the RS for beam management, it performs channel estimation on the CSI resource subset used for CSI feedback, extracts the first channel information, and performs channel restoration on the first channel information to obtain the full channel information, i.e., the second channel information. Subsequently, CSI calculation and CSI reporting are performed based on the second channel information to achieve CSI feedback.

[0046] It should be noted that, as Figure 2 shown, since the CSI feedback process in this application reuses the beam management process, the gNB also needs to send the reporting configuration information for beam management to the UE so that the UE can achieve normal beam management according to the reporting configuration information for beam management.

[0047] In the embodiments of the present disclosure, the base station reuses the CSI resources and reference signals of the beam management process for CSI feedback, groups the CSI resource set according to the physical ports of the transmitting antennas, and the reporting configuration of the CSI feedback process uses the grouping index of the transmitting antennas to replace the traditional CSI reporting configuration resource index indication. The user equipment obtains the full channel state information through channel restoration and performs CSI feedback processing according to the full channel state information.

[0048] In the channel state information feedback method provided by the embodiments of the present disclosure, the base station device sends, in the beam management process, the resource configuration information including the CSI resource set for beam management and the mapping relationship between the CSI resource subset for beam management and the transmitting antenna group, and the reporting configuration information including the target transmitting antenna group information, and sends the RS for beam management to the user equipment, thereby reusing the RS and CSI resources for beam management; the user equipment determines the first channel information of the target CSI resource subset according to the RS for beam management, and determines the second channel information according to the first channel information, and thus performs CSI feedback according to the second information; in the embodiments of the present disclosure, the resources for CSI feedback are configured and reported in the form of transmitting antenna grouping, and the channel restoration technology is introduced, so that the RS borrowed by CSI feedback can restore the full channel state information, thereby reducing system resources and improving system transmission efficiency.

[0049] In some embodiments, the steps of establishing a mapping relationship between a CSI resource subset for beam management and a transmit antenna group include: dividing the CSI resource set for beam management into at least one CSI resource subset according to the physical ports of the transmit antennas, where the physical transmit ports of the transmit antennas for each CSI resource in the same CSI resource subset are the same, and one transmit antenna group includes multiple physical ports of the transmit antennas; dividing the transmit antennas with the same physical transmit port into one transmit antenna group and configuring group information for each transmit antenna group; establishing a mapping relationship between each CSI resource subset for beam management and each transmit antenna group, where the CSI resource subset information of each CSI resource subset corresponds one-to-one with the transmit antenna group information of each transmit antenna group.

[0050] Figure 3 FIG. is a schematic diagram of establishing a mapping relationship between a CSI resource subset for beam management and a transmit antenna group provided by an embodiment of the present disclosure. The following will be combined with Figure 3 to illustrate the process of establishing the mapping relationship. As Figure 3 shown, the transmit antennas of the gNB have 32 actual physical ports, that is, N tx = 32, and the receive antennas of the UE have 4 physical ports, that is, there are 4 receive antennas, N rx = 4. The CSI resource set for beam management includes 64 CSI resources, that is, N csi = 64.

[0051] In the beam management process, the gNB uses N p = 2 logical transmit ports to send the RS for beam management, and the UE uses N rx = 4 receive antennas to receive the RS. In order to multiplex the CSI resources and RS for beam management for CSI feedback, the gNB divides the CSI resources using the same transmit antenna physical port into subsets, and groups the transmit antennas according to the physical ports. Each CIS resource subset corresponds to one transmit antenna group group. Taking Figure 3 the embodiment shown as an example, it is set that group 0 corresponds to transmit antenna numbers 01 - 16, group 1 corresponds to transmit antenna numbers 17 - 32, and group 2 corresponds to transmit antenna numbers 01 - 32 (i.e., all transmit antennas). Thus, according to the CSI resources using the physical ports of the same transmit antennas within the transmit antenna group, at least 3 CSI resource subsets are obtained, which are respectively:

[0052] 1. CSI resource subset 1, corresponding to group 0, which contains N csi1 = 16 CSI resources, and the RS received on these 16 CSI resources are all transmitted using the physical ports of transmit antennas 01 - 16;

[0053] 2. CSI resource subset 2, corresponding to group 1, which contains N csi2 = 18 CSI resources. The RS received on these 18 CSI resources are all transmitted using the real physical transmit antennas 17 - 32;

[0054] 3. CSI resource subset 3, corresponding to group 2, which contains N csi3 = 24 CSI resources. The RS received on these 24 CSI resources are all transmitted using the real physical transmit antennas 01 - 32.

[0055] The gNB establishes a one-to-one correspondence between each CSI resource subset and the transmit antenna group, thereby obtaining the mapping relationship.

[0056] On the basis of having partitioned the CSI resources for beam management into subsets, grouped the transmit antennas, and established the mapping relationship between the two, in order to obtain the complete CSI resource configuration and reporting configuration required for CSI feedback, the gNB sequentially sends the following information to the UE:

[0057] 1. The gNB configures the CSI resource set for beam management for the UE, that is, 64 CSI resources; and, all resource subsets and their corresponding transmit antenna group information, that is, CSI resource subsets 1 - 3 and their respectively corresponding groups 0 - 2;

[0058] 2. The gNB configures the group number / number set required for CSI feedback for the UE, and the physical port number N of the transmit antennas corresponding to this group number / number set tx ;

[0059] 3. The gNB sends the RS for beam management to the UE.

[0060] After the UE receives all the above content and configurations, the UE can reuse the RS and resources for beam management and enter the CSI feedback process.

[0061] The principle of the embodiments of the present disclosure will be described below in conjunction with a specific example.

[0062] The gNB configures the transmit antenna group required for CSI feedback for the UE as group 0, that is, the CSI resources for CSI feedback are Figure 3 the CSI resource subset 1 shown, and the corresponding transmit antenna physical ports are 01 - 16. At this time, the number of CSI resources in the CSI resource subset 1 is N csi1 = 16. Since the beam management process requires beamforming, assume that the full channel matrix required for CSI feedback at this time is H real , with a size of N rx ×N tx , N rxThe number of receiving antennas of the user equipment, N rx = 4, N tx The number of physical ports of group 0, N tx = 16.

[0063] The beamforming process is equivalent to multiplying the i-th CSI resource by the beamforming matrix W on the basis of H real , and the beamforming matrix W i has a size of N i ×N tx , and the channel matrix H solved from the channel estimation of the beam management RS is obtained. p , and the size of the channel matrix H i is N i ×N rx , where i is the index of the CSI resource in the CSI resource subset (i = 1, 2, 3,..., N p ). In this embodiment, after the UE completes channel estimation in the CSI feedback process, 16 Hs are obtained, and H needs to be recovered from them. csi . Taking this embodiment as an example, the corresponding channel recovery process is to solve the following system of equations: i . real .

[0064]

[0065] The above system of equations is a matrix system of equations. It is known that the 16 Hs on the right side of the equal sign are known, and the H to be solved is on the left side of the equal sign. i , and the H to be solved is on the left side of the equal sign. real . Considering that only the variables on the right side of the equation are known, and W in the gNB beamforming process is a quantization parameter precoding process based on the DFT (Discrete Fourier Transform) basis, and for different physical port numbers N of the transmit antennas i , each column of w tx is selected from the same set of fixed phase sets. Taking this embodiment as an example, N i = 16, N1 = 4, N2 = 2 are set. The number of selectable phase numbers for each transmitter is N tx = N1 × N2 × O1 × O2 = 4 × 2 × 4 × 4 = 128. N1 and N2 are the antenna elements of the single-sided structure antenna, arranged in the form of (N1, N2) = (2, 2), and O1 and O2 are the oversampling factors. Each column of 16 elements of W θ is expressed as i . Under this constraint setting, the solution process of the matrix system of equations can be split into the solution for each logical port of the transmit antenna, and the solution process of H on the left side of the equation real can be transformed into the solution for W iThe solution process, and then a classifier can be used to solve the system of equations, greatly improving the solvability of the system of equations.

[0066] In some embodiments, to ensure the convergence of the calculation result of the channel information of the user equipment, the target transmit antenna group information satisfies the following condition: the number of CSI resources N of the target CSI resource subset corresponding to the target transmit antenna group information csi and the number of logical ports N of the transmit antenna p whose product is greater than or equal to the number of physical ports N of the target transmit antenna group tx , that is, N csi ×N p ≥N tx . Wherein, the target transmit antenna group is the transmit antenna group corresponding to the target transmit antenna group information, and the logical port of the transmit antenna is the port for transmitting the RS for beam management.

[0067] The embodiments of the present disclosure also provide a channel state information feedback method, which is applied to a user equipment, as Figure 4 shown, and the method includes the following steps:

[0068] Step S21, receiving the resource configuration information for channel state information (CSI) feedback and the reporting configuration information for CSI feedback sent by the base station equipment; wherein, the resource configuration information includes the CSI resource set for beam management and the mapping relationship between the pre-set CSI resource subset for beam management and the transmit antenna group, and the CSI resource set for beam management includes at least one CSI resource subset; the reporting configuration information includes the target transmit antenna group information.

[0069] In the initialization stage, the gNB divides the CSI resources for beam management into multiple CSI resource subsets with the same physical ports of the transmit antenna, that is, divides the CSI-RS resource subsets according to the physical ports of the transmit antenna, and the same CSI-RS resource subset corresponds to the same multiple physical ports of the transmit antenna; establishes one or more transmit antenna groups with the same physical port numbers of the transmit antenna, and establishes the mapping relationship between each CSI resource subset and each transmit antenna group, which is used to indicate the physical ports of the transmit antenna corresponding to the CSI resource subset. In the beam management process, the gNB sends the resource configuration information for CSI feedback, which includes the CSI resource set for beam management and the mapping relationship between the CSI resource subset for beam management and the transmit antenna group, and the reporting configuration information for CSI feedback, which includes the target transmit antenna group information, to the UE. The target transmit antenna group information may be the identifier of the transmit antenna group corresponding to the CSI feedback. It should be noted that the reporting configuration information may also include the number of physical ports N of the target transmit antenna group tx .

[0070] Step S22: Determine the target CSI resource subset corresponding to the target transmit antenna group information according to the mapping relationship, and receive the reference signal RS for beam management sent by the base station device on the CSI resources of the target CSI resource subset.

[0071] The UE queries the mapping relationship between the CSI resource subset for beam management and the transmit antenna group according to the target transmit antenna group information, determines the corresponding target CSI resource subset, and receives the reference signal RS for beam management on the CSI resources of the target CSI resource subset.

[0072] Step S23: Determine the first channel information of the target CSI resource subset according to the RS.

[0073] The UE performs channel estimation according to the RS and calculates the first channel information, that is, obtains the channel matrix H corresponding to each CSI resource in the target CSI resource subset. i 。

[0074] Step S24: Determine the second channel information according to the first channel information. The second channel information is the full channel information and is used for CSI feedback.

[0075] The UE restores the full channel matrix H according to the channel matrix H corresponding to each CSI resource in the target CSI resource subset. i Restores the full channel matrix H. real So as to perform CSI feedback according to the full channel matrix H. real Perform CSI feedback.

[0076] In the channel state information feedback method provided by the embodiments of the present disclosure, the base station device sends resource configuration information including the CSI resource set for beam management and the mapping relationship between the CSI resource subset for beam management and the transmit antenna group, and reporting configuration information including the target transmit antenna group information, to the user equipment in the beam management process, and sends the RS for beam management to the user equipment, so as to multiplex the RS and CSI resources for beam management; the user equipment determines the first channel information of the target CSI resource subset according to the RS for beam management, and determines the second channel information according to the first channel information, so as to perform CSI feedback according to the second information; the embodiments of the present disclosure perform resource configuration and reporting configuration on the resources for CSI feedback in the form of transmit antenna grouping, and introduce the channel restoration technology, so that the RS borrowed by the CSI feedback for beam management can restore the full channel state information, thereby reducing system resources and improving system transmission efficiency.

[0077] In some embodiments, there are multiple pieces of target transmit antenna group information, that is, CSI feedback needs to be performed on multiple CSI resource subsets. In this case, channel estimation is performed for each CSI resource subset respectively, and channel recovery is performed to obtain the full channel matrix of each CSI resource subset.

[0078] Correspondingly, the determining the first channel information of the target CSI resource subset according to the RS (i.e., step S23) includes the following steps: determining the target CSI resource subsets corresponding to the respective pieces of target transmit antenna group information; and for the target CSI resource subsets corresponding to the respective pieces of target transmit antenna group information, determining the first channel information of the target CSI resource subset corresponding to the target transmit antenna group information according to the RS.

[0079] Correspondingly, the determining the second channel information according to the first channel information (i.e., step S24) includes the following steps: for the first channel information of the target CSI resource subsets corresponding to the respective pieces of target transmit antenna group information, determining the second channel information corresponding to the first channel information.

[0080] In some embodiments, as Figure 5 shown, the determining the second channel information according to the first channel information (i.e., step S24) includes the following steps:

[0081] Step S241, determining a beamforming matrix according to the first channel information and a pre-trained classification model, where the classification model is a neural network model.

[0082] In some embodiments, the first channel information is a first channel matrix, the first channel matrix is determined according to the intermediate channel matrices of the logical ports of the transmit antennas of the base station device, and the beamforming matrix is determined according to the intermediate beamforming matrices of the logical ports of the transmit antennas of the base station device.

[0083] Figure 6 For the schematic diagram of the working process of the classification model provided by the embodiments of the present disclosure, as Figure 6 shown, the determining the beamforming matrix according to the first channel information and a pre-trained classification model (i.e., step S241) includes the following steps: inputting the first channel information into the classification model (i.e., the AI classifier) to obtain respective phase indices; and determining the values of the elements in the beamforming matrix according to the respective phase indices. Among them, inputting the first channel information of the subcarriers in the entire bandwidth into the classification model, that is, inputting N c channel matrices H i in the full bandwidth into the AI classifier, the AI classifier outputs the phase indices θ of the elements in the beamforming matrix W i , multiplying the phase indices θ by e j2π / 128 respectively, thereby obtaining the values of the elements of the beamforming matrix W i .

[0084] Taking group 0 as an example, N tx = 16, set N1 = 4, N2 = 2, and the number of available phase values for each physical port of the transmit antenna is N θ = N1 × N2 × O1 × O2 = 4 × 2 × 4 × 4 = 128. Therefore, each column of 16 elements in the beamforming matrix W i can be expressed as Using an AI classifier to solve the beamforming matrix W i can significantly improve the solvability of the system of equations for channel recovery.

[0085] Figure 7 The structural schematic diagram of the classification model provided by this disclosure example is shown in Figure 7 As shown, the classification model is a convolutional neural network model, including a convolutional layer and three fully connected layers, namely fully connected layers 1-3. The input of the classification model is N c channel matrices H i in the full bandwidth, and the output value of the classification model is a decimal number. After performing a cyclic rounding operation on it with N θ , the phase index θ of each element in the beamforming matrix is obtained.

[0086] As Figure 8 shown, the training and inference processes of the classification model are as follows:[[]]

[0087] 1. Build a dataset for training and testing, and establish a dataset containing the beamforming matrix W i and the channel matrix H i . The channel matrix H i can be collected through system platform simulation or in the actual system scenario, that is, obtained from the beam management process in a conventional 5G system; the beamforming matrix W i can be collected through system platform simulation or in the actual system scenario, that is, obtained from the beam scanning method in a conventional 5G system.

[0088] 2. Build a neural network model according to the sizes of the beamforming matrix W i and the channel matrix H i .

[0089] 3. Create a loss function, and the commonly used cross-entropy function in AI classifiers can be adopted; create an optimization function (such as the Adam function).

[0090] 4. Perform model training, including network forward propagation, calculating loss, backpropagating loss, clearing the optimizer gradient cache, and updating network parameters using the optimizer. After multiple training cycles, save the model after it converges.

[0091] 5. Perform model training / inference. This step is different from the training process in that it does not require loss backpropagation and related operations of the optimizer, and the model parameters do not need to be further updated. Just directly output the network result to calculate the loss value.

[0092] 6. Use the trained model for model inference and use AI to achieve channel recovery in the CSI feedback process.

[0093] Step S242: Determine the second channel information according to the beamforming matrix and the first channel information.

[0094] The second channel information H can be calculated according to the following formula real，k : where k = 1, 2,..., N c , is the first channel information, is the beamforming matrix.

[0095] As Figure 6 and Figure 7 shown, the size of the first channel matrix is N rx ×(N p ×N csi ), N rx is the number of receiving antennas of the user equipment, N p is the number of logical ports of the transmitting antennas of the base station equipment, N csi is the number of CSI resources of the target CSI resource subset.

[0096] In some embodiments, in the case of broadband granularity, the number of phase indices is (N p ×N csi ), N p is the number of logical ports of the transmitting antennas of the base station equipment, N csi is the number of CSI resources of the target CSI resource subset. That is to say, in the case of broadband granularity, the number of elements of the beamforming matrix is (N p ×N csi ). In the case of narrowband granularity, the number of phase indices is (N c ×N p ×N csi ), N c is the total number of subcarriers in the entire bandwidth. That is to say, in the case of narrowband granularity, the number of elements of the beamforming matrix is (N c ×N p ×N csi ).

[0097] To clearly illustrate the solution of the embodiments of the present disclosure, the following is combined with Figure 9a - Figure 9c to Figure 3Taking the three transmit antenna groups shown as an example, the process of using the classification model to recover the omnidirectional antenna channel state information will be described in detail.

[0098] As Figure 9a shown, the target transmit antenna group required for the gNB to configure CSI feedback for the UE is group 0, that is, the target CSI resource subset is CSI resource subset 1, and the physical ports of the corresponding transmit antennas are 01-16. The number of CSI resources N csi1 = 16.

[0099] In the case where beamforming is at a broadband granularity, the beamforming for each subcarrier within the bandwidth transmitted by the RS is consistent. Assuming that there are N c subcarriers within the system bandwidth at this time, the following system of equations including N c equations can be obtained:

[0100]

[0101] Among them, k represents the subcarrier index (k = 1, 2,..., N c ), and the beamforming matrices within the system of equations are all the same, that is, W1 16 *2 = W2 16*2 =... = W 16 16*2 . Therefore, in the case where beamforming is at a broadband granularity, a converged training model can be obtained faster during the classification model training process, improving the model training accuracy.

[0102] The embodiments of the present disclosure introduce a classification model to recover the beamforming matrix, and finally solve for H real by solving equations. To better understand the functions implemented by the classification model, we first merge the system of equations under a logical port p1 of the transmit antenna. The merged system of equations is as follows:

[0103]

[0104] Considering and under a logical port becoming one-dimensional vectors, and further merging them. Let

[0105]

[0106]

[0107] Thus, for the logical port p1, the following equation is obtained:

[0108]

[0109] Taking this embodiment as an example, there are N p = 2 logical transmission ports. Therefore, the system of equations is written as:

[0110]

[0111] The equation is further extended for N p Let

[0112]

[0113]

[0114] The following equation can be obtained:

[0115]

[0116] Considering N c sub - carriers within the RS receiving system bandwidth, a total of N c groups are used as a set of inputs to the classification model, is used as the output of the classification model, and the form of the matrix element is the phase index θ. That is, the classification model can obtain 32 phase indices θ, and the value range of the phase index is {0, 1, 2, …, N θ - 1 = 127}. After obtaining the full - bandwidth beamforming matrix on the left - hand side of the equation through the classification model, since the right - hand side of the equation is a known quantity, by solving the equation, the full - channel information on each sub - carrier can be restored, that is, H real，k 4*16 .

[0117] The solution of this embodiment of the present disclosure is also applicable when beamforming is based on narrow - band granularity. In the case where beamforming is of narrow - band granularity, the beamforming on each sub - carrier within the bandwidth transmitted by the RS is different. Still taking the system shown in Figure 9a as an example, the gNB configures the target transmit antenna group required for CSI feedback to the UE as group 0, that is, the target CSI resource subset is CSI resource subset 1, and the physical ports of the corresponding transmit antennas are 01 - 16. The number of CSI resources N csi1 = 16 in CSI resource subset 1. Assuming that there are N c sub - carriers within the system bandwidth at this time, the following system of equations including N c equations can be obtained:

[0118]

[0119] Introduce a classification model to help restore w i，k , and then solve for H real。To better understand the functions implemented by the classification model, we first merge the equations under a logical port p1, and the merged form is as follows:

[0120]

[0121] Consider under a port and become a one-dimensional vector, and further merge it. Let

[0122]

[0123]

[0124] Thus, for the logical port p1, the following equation is obtained:

[0125]

[0126] Taking this embodiment as an example, there are N p = 2 logical transmission ports, so the equation set is written as:

[0127]

[0128] The equation further expands for N p Let

[0129]

[0130]

[0131] We obtain an equation in the following form:

[0132]

[0133] Consider N c sub-carriers within the RS receiving system bandwidth, a total of N c groups as a set of inputs to the classification model, a total of N c groups as the output of the classification model, and the form of the matrix elements is the phase index θ, that is, the network outputs N c × 32 phase indices θ, and the value range of this index on each sub-carrier is {0, 1, 2,..., N θ - 1 = 127}. After obtaining the beamforming matrix of the full bandwidth on the left side of the equation through the classification model, since the right side of the equation is a known quantity, by solving the equation, the full channel information on each sub-carrier can be restored, that is, H real，k 4*16 .

[0134] The following takesFigure 9b Taking the system shown as an example, the process of recovering the omnidirectional antenna channel state information using the classification model will be described. As Figure 9b shown, the gNB configures the target transmit antenna group required for CSI feedback to the UE as group 1, that is, the target CSI resource subset is CSI resource subset 2, and the physical ports of the corresponding transmit antennas are 17 - 32. The number of CSI resources N in CSI resource subset 2 csi1 = 18.

[0135] Assume that the beamforming in this embodiment is of broadband granularity. The process of recovering the omnidirectional antenna channel state information in this embodiment is basically the same as that in the Figure 9a embodiment shown. The number of physical ports of the transmit antennas is N tx = 16, and the difference lies in the number of CSI resources within the CSI resource subset. In this embodiment, what the UE obtains after completing channel estimation in the CSI feedback process is 18 H i , i = 1, 2, 3,..., 18, from which H real needs to be recovered, that is, the final form of the solution equation is as follows:

[0136]

[0137] Considering N c sub - carriers within the RS receiving system bandwidth, a total of N c groups are used as a set of inputs to the classification model. At this time is used as the output of the classification model, and the form of the matrix elements is the phase index θ, that is, the classification model can obtain 36 phase indices θ. Since the N tx in this embodiment is the same as the N Figure 9a in the tx embodiment shown, the value range of the phase index θ in this embodiment is also {0, 1, 2,..., 127}. The difference between this embodiment and the Figure 9a embodiment shown lies in the different matrix dimensions of the input and output, so the size of the classification model adopted will be different.

[0138] The following takes the Figure 9c system shown as an example to describe the process of recovering the omnidirectional antenna channel state information using the classification model. As Figure 9c shown, the gNB configures the target transmit antenna group required for CSI feedback to the UE as group 2, that is, the target CSI resource subset is CSI resource subset 3, and the physical ports of the corresponding transmit antennas are 01 - 32. The number of CSI resources N in CSI resource subset 3 csi1 = 24.

[0139] Assume that the beamforming in this embodiment is of broadband granularity. This embodiment is the same asFigure 9a The omnidirectional antenna channel state information recovery processes of the illustrated embodiments are basically the same, except that the number of physical ports of the transmitting antenna is different. In this embodiment, the number of physical ports N of the transmitting antenna tx = 32, Figure 9a In the illustrated embodiment, the number of physical ports N of the transmitting antenna tx = 16. In addition, the number of resources within the CSI resource subset is also different. In this embodiment, what the UE obtains after completing channel estimation in the CSI feedback process is 24 H i , i = 1, 2, 3, …, 24. From these 24 H i H real is recovered, that is, the form of the final solution equation is as follows:

[0140]

[0141] Considering N c subcarriers within the RS reception system bandwidth, a total of N c groups are used as a group of inputs to the classification model. At this time is used as the output of the classification model, and the form of the matrix elements is the phase index θ, that is, the classification model can obtain 48 phase indices θ. Since the N tx in this embodiment and Figure 9a the N tx in the illustrated embodiment are different, in this embodiment, the number of available phase values for each logical port of the transmitting antenna is N θ = N1 × N2 × O1 × O2 = 4 × 4 × 4 × 4 = 256, so the value range of the phase index in this embodiment becomes {0, 1, 2, …, 255}. The difference between this embodiment and Figure 9a the illustrated embodiment lies in the different matrix dimensions of the input and output, so the size of the classification model adopted will be different.

[0142] The embodiments of the present disclosure use beam management reference signals for channel state information feedback, which can reuse the reference signals for beam management and CSI resources to complete the entire link of CSI feedback, that is, group the CSI resources for beam management according to the physical ports of the transmitting antenna, and perform resource configuration and reporting configuration; introduce AI channel recovery technology, so that the CSI feedback can borrow the RS for beam management to recover the full channel state information, thereby greatly reducing the system resources and greatly improving the system transmission efficiency.

[0143] The embodiments of the present disclosure can partially or completely replace the traditional CSI feedback scheme to complete the system CSI feedback function. For example, when periodic CSI-RS transmission is adopted in the traditional CSI feedback scheme, partially adopting the scheme of the embodiments of the present disclosure to assist CSI feedback can reduce the CSI-RS transmission density, thereby reducing the resource occupancy of the feedback link and the transmission of reference signals. When completely replacing the traditional feedback scheme, the resource occupancy of the CSI feedback link and the transmission of reference signals are no longer required.

[0144] The embodiments of the present disclosure also provide a base station device and a user equipment, such as Figure 10 shown, including:

[0145] At least one processor 1001;

[0146] A memory 1002, on which at least one program is stored. When the at least one program is executed by the at least one processor, the at least one processor implements the channel state information feedback method provided in the foregoing embodiments;

[0147] At least one I / O interface 1003, connected between the processor and the memory, configured to implement information interaction between the processor and the memory.

[0148] Among them, the processor 1001 is a device with data processing capabilities, including but not limited to a central processing unit (CPU), etc.; the memory 1002 is a device with data storage capabilities, including but not limited to a random access memory (RAM, more specifically such as SDRAM, DDR, etc.), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a flash memory (FLASH); the I / O interface (read / write interface) 1003 is connected between the processor 1001 and the memory 1002 and can implement information interaction between the processor 1001 and the memory 1002, including but not limited to a data bus (Bus), etc.

[0149] In some embodiments, the processor 1001, the memory 1002, and the I / O interface 1003 are interconnected through a bus and then connected to other components of the computing device.

[0150] The embodiments of the present disclosure also provide a computer-readable medium, on which a computer program is stored. When the computer program is executed, it implements the channel state information feedback method provided in the foregoing embodiments.

[0151] Those of ordinary skill in the art will understand that all or some of the steps in the methods disclosed above, and the functional modules / units in the devices, can be implemented as software, firmware, hardware, and their appropriate combinations. In the hardware implementation, the division between the functional modules / units mentioned above does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be executed by several physical components in cooperation. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or may be implemented as hardware, or may be implemented as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, which can include a computer storage medium (or non-transitory medium) and a communication medium (or transitory medium). As is well known to those of ordinary skill in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information, such as computer-readable instructions, data structures, program modules, or other data. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer. In addition, as is well known to those of ordinary skill in the art, communication media typically includes computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transmission mechanism, and can include any information delivery medium.

[0152] Example embodiments have been disclosed herein, and although specific terms have been used, they are used for and should be construed only as general illustrative meanings and not for purposes of limitation. In some instances, it will be apparent to those skilled in the art that, unless otherwise expressly stated, features, characteristics, and / or elements described in connection with a particular embodiment may be used alone or in combination with features, characteristics, and / or elements described in connection with other embodiments. Accordingly, those skilled in the art will understand that various forms and details may be changed without departing from the scope of the invention as set forth in the appended claims.

Claims

1. A method for channel state information feedback, characterized in that Applied to a base station device, the transmitting antenna of the base station device includes at least one transmitting antenna group, and the method includes: In a beam management process, send resource configuration information for channel state information (CSI) feedback to a user equipment, where the resource configuration information includes a CSI resource set for beam management and a mapping relationship between a pre-set CSI resource subset for beam management and the transmitting antenna group, and the CSI resource set for beam management includes at least one CSI resource subset; Send reporting configuration information for CSI feedback to the user equipment, where the reporting configuration information includes target transmitting antenna group information; Send a reference signal (RS) for beam management to the user equipment; Wherein, the resource configuration information and the reporting configuration information are used to instruct the user equipment to determine first channel information of a target CSI resource subset according to the RS for beam management, and determine second channel information for CSI feedback according to the first channel information, and the target CSI resource subset is the CSI resource subset corresponding to the target transmitting antenna group information.

2. The method according to claim 1, characterized in that, The target transmitting antenna group information satisfies the following conditions: The product of the number of CSI resources of the target CSI resource subset corresponding to the target transmitting antenna group information and the number of logical ports of the transmitting antenna is greater than or equal to the number of physical ports of the target transmitting antenna group; wherein, the target transmitting antenna group is the transmitting antenna group corresponding to the target transmitting antenna group information, and the logical port of the transmitting antenna is the port for sending the RS for beam management.

3. The method according to claim 1, wherein The steps of establishing the mapping relationship include: According to the physical ports of the transmitting antenna, divide the CSI resource set for beam management into at least one CSI resource subset, and the physical transmitting ports of the transmitting antennas of the CSI resources in the same CSI resource subset are the same, and a transmitting antenna grouping includes multiple physical ports of the transmitting antenna; Divide the transmitting antennas with the same physical transmitting port into one transmitting antenna group, and configure group information for each transmitting antenna group; Establish a mapping relationship between each CSI resource subset and each transmitting antenna group, and the CSI resource subset information of each CSI resource subset corresponds one-to-one with the transmitting antenna group information of each transmitting antenna group.

4. A channel state information feedback method, characterized in that Applied to a user equipment, the method includes: Receive the resource configuration information for channel state information (CSI) feedback and the reporting configuration information for CSI feedback sent by a base station device; wherein, the resource configuration information includes a CSI resource set for beam management and a mapping relationship between a pre-set CSI resource subset for beam management and a transmitting antenna group, and the CSI resource set for beam management includes at least one CSI resource subset; the reporting configuration information includes target transmitting antenna group information; Determine the target CSI resource subset corresponding to the target transmitting antenna group information according to the mapping relationship, and receive the RS for beam management sent by the base station device on the CSI resources of the target CSI resource subset; Determine first channel information of the target CSI resource subset according to the RS; Determine second channel information according to the first channel information, where the second channel information is full channel information for CSI feedback.

5. The method according to claim 4, characterized in that, There are multiple pieces of the target transmit antenna group information. The determining first channel information of the target CSI resource subset according to the RS includes: Determine the target CSI resource subsets corresponding to the pieces of the target transmit antenna group information; For the target CSI resource subsets corresponding to the pieces of the target transmit antenna group information, determine first channel information of the target CSI resource subset corresponding to the piece of the target transmit antenna group information according to the RS; The determining second channel information according to the first channel information includes: For the first channel information of the target CSI resource subsets corresponding to the pieces of the target transmit antenna group information, determine second channel information corresponding to the first channel information.

6. The method according to claim 4, characterized in that The determining second channel information according to the first channel information includes: Determine a beamforming matrix according to the first channel information and a pre-trained classification model, where the classification model is a neural network model; Determine the second channel information according to the beamforming matrix and the first channel information.

7. The method according to claim 6, wherein The first channel information is a first channel matrix, the first channel matrix is determined according to intermediate channel matrices of logical ports of the transmit antennas of the base station device, and the beamforming matrix is determined according to intermediate beamforming matrices of logical ports of the transmit antennas of the base station device.

8. The method according to claim 6, characterized in that The determining a beamforming matrix according to the first channel information and a pre-trained classification model includes: Input the first channel information into the classification model to obtain respective phase indices; Determine values of elements in the beamforming matrix according to the respective phase indices.

9. The method according to claim 8, wherein The inputting the first channel information into the classification model includes: Input the first channel information of subcarriers in the entire bandwidth into the classification model.

10. The method according to claim 9, wherein In the case of broadband granularity, the number of the phase indices is (N p × N csi ), where the N p is the number of logical ports of the transmit antennas of the base station device, and the N csi is the number of CSI resources of the target CSI resource subset; In the case of narrowband granularity, the number of phase indices is (N c × N p × N csi ), where N c is the total number of subcarriers in the entire bandwidth.

11. The method according to any one of claims 7 to 10, characterized in that, The size of the first channel matrix is N rx × (N p × N csi ), where the N rx is the number of receiving antennas of the user equipment, the N p is the number of logical ports of the transmitting antennas of the base station equipment, and the N csi is the number of CSI resources of the target CSI resource subset.

12. The method according to claim 11, wherein the reported configuration information further includes the number of physical ports of the target transmit antenna group, and the target transmit antenna group is the transmit antenna group corresponding to the target transmit antenna group information; the second channel information is a second channel matrix of size N rx ×N tx , and the N tx is the number of physical ports of the target transmit antenna group.

13. A base station device, comprising: One or more processors; A storage device having one or more programs stored thereon; When the one or more programs are executed by the one or more processors, the one or more processors implement the channel state information feedback method according to any one of claims 1-3; One or more I / O interfaces connected between the processor and the storage device and configured to implement information interaction between the processor and the storage device.

14. A user equipment, comprising: One or more processors; A storage device having one or more programs stored thereon; When the one or more programs are executed by the one or more processors, the one or more processors implement the channel state information feedback method according to any one of claims 4-12; One or more I / O interfaces connected between the processor and the storage device and configured to implement information interaction between the processor and the storage device.

15. A computer-readable medium having a computer program stored thereon, wherein, When the described program is executed, it implements the channel state information feedback method described in any one of claims 1-3, or the channel state information feedback method described in any one of claims 4-12.

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