PMI reporting method and device and computer readable storage medium

Abstract

The embodiment of the invention provides a PMI reporting method, a PMI reporting device, communication equipment, a chip, a computer readable storage medium and a computer program product. The method comprises the steps that a terminal reports a PMI to network equipment; wherein the PMI comprises a piece of first information, and the first information is used for indicating indexes of M frequency domain base vectors; or the PMI comprises multiple pieces of first information, different pieces of first information in the multiple pieces of first information correspond to different carriers, the first information is used for indicating indexes of M'frequency domain base vectors of the corresponding carriers, and the M 'frequency domain base vectors are selected from N' 3 frequency domain base vectors of the corresponding carriers.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of wireless technology, and more particularly to a PMI reporting method, a PMI reporting apparatus, a communication device, a chip, a computer-readable storage medium, and a computer program product. Background Art

[0002] In a cell-free / multi-TRP system, joint UE synchronization, cell access, and reference signal measurement can be achieved for multiple cells / multi-component carriers (CCs) / multi-transmission reception points (TRPs). In related technologies, if a UE needs to perform CSI-RS measurements and PMI / CQI / RI reports in multiple cells separately after accessing multiple cells / CCs, the CSI measurement delay will be relatively large. In addition, the measurement and reporting overhead will also be large, especially for PMI reporting in the etype2 codebook, the feedback overhead will be even greater. For example, for CSI reporting of multiple CCs at the same site, if four CCs are configured, the UE needs to calculate and report the CSI four times, resulting in high complexity and feedback overhead / delay. Summary of the Invention

[0003] Embodiments of the present application provide a PMI reporting method, a PMI reporting apparatus, a communication device, a chip, a computer-readable storage medium, and a computer program product.

[0004] The PMI reporting method provided in the embodiment of the present application includes:

[0005] The terminal reports the PMI to the network device; where:

[0006] The PMI includes a first information, where the first information is used to indicate the indexes of M frequency domain basis vectors, where the M frequency domain basis vectors are selected from N3 frequency domain basis vectors, where the N3 frequency domain basis vectors include frequency domain basis vectors of multiple carriers; the M frequency domain basis vectors are used to determine a frequency domain matrix, where the frequency domain matrix is ​​used to determine a precoding matrix for the multiple carriers; or,

[0007] The PMI includes multiple first information, different first information in the multiple first information corresponds to different carriers, the first information is used to indicate the index of M' frequency domain basis vectors of the corresponding carrier, and the M' frequency domain basis vectors are selected from the N3' frequency domain basis vectors of the corresponding carrier; the M' frequency domain basis vectors are used to determine the frequency domain matrix of the corresponding carrier, and the frequency domain matrix is ​​used to determine the precoding matrix of the corresponding carrier.

[0008] The PMI reporting method provided in the embodiment of the present application includes:

[0009] The network device receives the PMI reported by the terminal; wherein,

[0010] The PMI includes a first information, where the first information is used to indicate the indexes of M frequency domain basis vectors, where the M frequency domain basis vectors are selected from N3 frequency domain basis vectors, where the N3 frequency domain basis vectors include frequency domain basis vectors of multiple carriers; the M frequency domain basis vectors are used to determine a frequency domain matrix, where the frequency domain matrix is ​​used to determine a precoding matrix for the multiple carriers; or,

[0011] The PMI includes multiple first information, different first information in the multiple first information corresponds to different carriers, the first information is used to indicate the index of M' frequency domain basis vectors of the corresponding carrier, and the M' frequency domain basis vectors are selected from the N3' frequency domain basis vectors of the corresponding carrier; the M' frequency domain basis vectors are used to determine the frequency domain matrix of the corresponding carrier, and the frequency domain matrix is ​​used to determine the precoding matrix of the corresponding carrier.

[0012] The PMI reporting device provided in the embodiment of the present application is applied to a terminal, including:

[0013] Reporting unit: used to report PMI to network devices; where:

[0014] The PMI includes a first information, where the first information is used to indicate the indexes of M frequency domain basis vectors, where the M frequency domain basis vectors are selected from N3 frequency domain basis vectors, where the N3 frequency domain basis vectors include frequency domain basis vectors of multiple carriers; the M frequency domain basis vectors are used to determine a frequency domain matrix, where the frequency domain matrix is ​​used to determine a precoding matrix for the multiple carriers; or,

[0015] The PMI includes multiple first information, different first information in the multiple first information corresponds to different carriers, the first information is used to indicate the index of M' frequency domain basis vectors of the corresponding carrier, and the M' frequency domain basis vectors are selected from the N3' frequency domain basis vectors of the corresponding carrier; the M' frequency domain basis vectors are used to determine the frequency domain matrix of the corresponding carrier, and the frequency domain matrix is ​​used to determine the precoding matrix of the corresponding carrier.

[0016] The PMI reporting device provided in the embodiment of the present application is applied to a network device, including:

[0017] Receiving unit: used to receive the PMI reported by the terminal; where:

[0018] The PMI includes a first information, where the first information is used to indicate the indexes of M frequency domain basis vectors, where the M frequency domain basis vectors are selected from N3 frequency domain basis vectors, where the N3 frequency domain basis vectors include frequency domain basis vectors of multiple carriers; the M frequency domain basis vectors are used to determine a frequency domain matrix, where the frequency domain matrix is ​​used to determine a precoding matrix for the multiple carriers; or,

[0019] The PMI includes multiple first information, different first information in the multiple first information corresponds to different carriers, the first information is used to indicate the index of M' frequency domain basis vectors of the corresponding carrier, and the M' frequency domain basis vectors are selected from the N3' frequency domain basis vectors of the corresponding carrier; the M' frequency domain basis vectors are used to determine the frequency domain matrix of the corresponding carrier, and the frequency domain matrix is ​​used to determine the precoding matrix of the corresponding carrier.

[0020] The communication device provided in the embodiment of the present application includes: a processor and a memory, the memory is used to store a computer program, and the processor is used to call and run the computer program stored in the memory to execute any PMI reporting method provided in the embodiment of the present application.

[0021] The chip provided in the embodiment of the present application includes: a processor, which is used to call and run a computer program from a memory, so that a device equipped with the chip executes any PMI reporting method provided in the embodiment of the present application.

[0022] The computer-readable storage medium provided in the embodiments of the present application is used to store a computer program, and the computer program enables a computer to execute any PMI reporting method provided in the embodiments of the present application.

[0023] The computer program product provided in the embodiments of the present application includes a computer program, characterized in that when the computer program is executed by a processor, it implements any PMI reporting method provided in the embodiments of the present application.

[0024] Through the PMI reporting method provided in the embodiment of the present application, the sub-band information of multiple carriers is uniformly calculated and reported for PMI, which greatly saves the calculation and feedback overhead. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0026] Figure 1 A schematic diagram of CSI reporting across two CA aggregations provided in an embodiment of the present application;

[0027] Figure 2Schematic diagram of the implementation process of the PMI reporting method provided in the embodiment of this application Figure 1 ;

[0028] Figure 3 Schematic diagram of the implementation process of the PMI reporting method provided in the embodiment of this application Figure 2 ;

[0029] Figure 4 A schematic diagram of the structure of a PMI reporting device 400 provided in an embodiment of the present application;

[0030] Figure 5 A schematic diagram of the structure of a PMI reporting device 500 provided in an embodiment of the present application;

[0031] Figure 6 A schematic structural diagram of a communication device provided in an embodiment of the present application;

[0032] Figure 7 A schematic structural diagram of a chip provided in an embodiment of the present application. DETAILED DESCRIPTION

[0033] The following will describe the technical solutions in the embodiments of this application in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0034] It should be noted that in the embodiments of the present application, the term "and / or" is merely a description of the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent three situations: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the embodiments of the present application, the character " / " generally indicates that the associated objects are in an "or" relationship.

[0035] In the description of the embodiments of the present application, the term "corresponding" may indicate a direct or indirect correspondence between the two, or an association relationship between the two, or a relationship between indication and being indicated, configuration and being configured, etc.

[0036] To facilitate understanding of the technical solutions of the embodiments of the present application, the relevant technologies of the embodiments of the present application are described below. The following relevant technologies can be arbitrarily combined with the technical solutions of the embodiments of the present application as optional solutions, and they all fall within the protection scope of the embodiments of the present application.

[0037] R16 etype2 codebook background introduction:

[0038] The overall structure of the codebook is:

[0039] Among them, W represents the codebook matrix, which can also be understood as the precoding matrix; W1 represents the spatial matrix, W f represents the frequency domain matrix, represents the coefficient matrix.

[0040] The dimension of W1 is P*2L, where P is the number of Channel State Information-Reference Signal (CSI-RS) ports of the base station. For example, when dual-polarized antennas are used on the base station side, P=2N1N1, N1 is the number of antennas in the horizontal direction, N2 is the number of antennas in the vertical direction, L is the number of spatial basis vectors selected from N1×N2×O1×O2 spatial basis vectors, O1 is the oversampling multiple in the horizontal direction, O2 is the oversampling multiple in the vertical direction, and L spatial basis vectors are used to determine the spatial matrix W1; if dual-polarized antennas are used on the base station side, then 2L spatial DFT basis vectors need to be selected from 2N1N2O1O2 spatial DFT basis vectors with a dimension of P*1.

[0041] The dimension of Wf is N3×M υ , where N3 is the number of frequency domain units, M υ is the number of vectors with the largest power selected from the N3 frequency domain basis vectors. The channel characteristics corresponding to each frequency domain basis vector can represent the power of the frequency domain basis vector. Based on this, M is selected from the N3 frequency domain basis vectors. υ frequency domain basis vectors, R is the number of times the PMI in each subband is a multiple of the CQI (number Of PMI-SubbandsPer CQI-Subband-r16). υ The ratio configured by the high-level parameter paramCombination-r16, p υ The relationship between υ and the high-layer parameter paramCombination-r16 is shown in Table 1, where υ in Table 1 represents the number of transmission layers (abbreviated as the number of layers).

[0042]

[0043] Table 1

[0044] refer to Figure 1 , Figure 1This embodiment of the present application provides a schematic diagram of CSI reporting across two component carriers (CCs), where FC1 and FC2 are the center frequencies of the two CCs. In related technologies, the UE needs to measure the subband channels of each CC separately and select and report the PMI separately. This results in a long CSI measurement latency and a high PMI reporting overhead.

[0045] Figure 2 Schematic diagram of the implementation process of the PMI reporting method provided in the embodiment of this application Figure 1 ,like Figure 2 As shown, the embodiment of the present application provides a PMI reporting method, which includes the following steps:

[0046] Step 201: The terminal reports the PMI to the network device; wherein:

[0047] The PMI includes a first information, where the first information is used to indicate the indexes of M frequency domain basis vectors, where the M frequency domain basis vectors are selected from N3 frequency domain basis vectors, where the N3 frequency domain basis vectors include frequency domain basis vectors of multiple carriers; the M frequency domain basis vectors are used to determine a frequency domain matrix, where the frequency domain matrix is ​​used to determine a precoding matrix for the multiple carriers; or,

[0048] The PMI includes multiple first information, different first information in the multiple first information corresponds to different carriers, the first information is used to indicate the index of M' frequency domain basis vectors of the corresponding carrier, and the M' frequency domain basis vectors are selected from the N3' frequency domain basis vectors of the corresponding carrier; the M' frequency domain basis vectors are used to determine the frequency domain matrix of the corresponding carrier, and the frequency domain matrix is ​​used to determine the precoding matrix of the corresponding carrier.

[0049] For example, when there are two carriers (a first carrier and a second carrier) and one first information is reported, the number of frequency domain units corresponding to the first carrier is N. 3,1 The number of frequency domain units corresponding to the second carrier is N 3,2 N3=N 3，1 +N 3，2 , taking the transmission layer number as 1 as an example, the first information includes index i 1，5 and i 1，6，l , where i 1，5 It is used to indicate the maximum frequency domain basis vector to be selected when N3>19, i 1,6,l Used to indicate the identifier of the frequency domain basis vector when the number of layers is 1.

[0050] i 1,5 and i 1,6,l The value ranges are:

[0051] i1,5 ∈{0,1,…,2M υ -1};

[0052]

[0053] in, R1 indicates that the PMI in each subband of the first carrier is a multiple of the CQI (number Of PMI-SubbandsPer CQI-Subband-r16). R2 indicates that the PMI in each subband of the second carrier is a multiple of the CQI (number Of PMI-SubbandsPer CQI-Subband-r16). υ.1 is the ratio configured for the first carrier by the higher layer signaling, p υ.2 M is the ratio configured for the second carrier by the higher layer signaling. υ Represents the number of frequency domain basis vectors selected from N3 frequency domain basis vectors.

[0054] Exemplarily, when there are two carriers (a first carrier and a second carrier) and multiple first information are reported, the number of frequency domain units corresponding to the first carrier is N 3,1 The number of frequency domain units corresponding to the second carrier is N 3,2 Taking the number of transmission layers as l (l is a positive integer) as an example, the first information includes: the index i corresponding to the first carrier 1,5,1 and i 1,6,1,l , and the index i corresponding to the second carrier 1,5,2 and i 1,6,2,l ; Among them, i 1,5,1 Used to indicate when N 3,1 >19, the first carrier is to be selected to represent the maximum frequency domain basis vector, i 1,6,1,l Used to indicate the identifier of the frequency domain basis vector corresponding to the first carrier when the number of layers is 1; i 1,5,2 Used to indicate when N 3,2 When >19, the second carrier is to be selected with the largest representation frequency domain basis vector, i 1,6,2,l Used to indicate the identifier of the frequency domain basis vector corresponding to the second carrier when the number of layers is 1. Among them, M υ,1 or M υ，2 Corresponding to M', N 3,1 or N 3,2 Corresponding to N', M υ,1 Represents from N 3,1 The number of frequency domain basis vectors selected from the frequency domain basis vectors, M υ，2 Represents from N 3,2 The number of frequency domain basis vectors selected from the frequency domain basis vectors.

[0055] Index i corresponding to the first carrier1,5,1 and i 1,6,1,l , and the index i corresponding to the second carrier 1,5,2 and i 1,6,2,l The value ranges are:

[0056] i 1,5,1 ∈{0,1,...,2M υ,1 -1};

[0057]

[0058] i 1,5,2 ∈{0,1,...,2M υ,2 -1};

[0059]

[0060] In an embodiment of the present application, the PMI includes a first information, that is, M frequency domain basis vectors are selected from N3 frequency domain basis vectors, and the N3 frequency domain basis vectors include frequency domain basis vectors of multiple carriers. This method can maximize the overall power ratio of the selected cross-carrier frequency domain DFT vector, thereby improving the overall performance of the system data transmission.

[0061] In an embodiment of the present application, the PMI includes multiple first information, and M' frequency domain basis vectors are selected from the N3' frequency domain basis vectors corresponding to each carrier. This method enables each carrier to select subbands with the same ratio, ensuring the balance of PMI and CQI reported by multiple carriers, and the feedback overhead is relatively small.

[0062] In an optional embodiment of the present application, the PMI also includes a second information, and the second information is used to indicate L spatial basis vectors, and the L spatial basis vectors are selected from N1×N2×O1×O2 spatial basis vectors, N1 represents the number of antennas in the horizontal direction, and N2 represents the number of antennas in the vertical direction; the L spatial basis vectors are used to determine the spatial matrix, and the spatial matrix is ​​used to determine the precoding matrix of the multiple carriers.

[0063] Here, the second information may be the index i 1,2 ,i 1,2 Used to indicate the spatial DFT basis vectors.

[0064] In an optional embodiment of the present application, the method further includes:

[0065] The terminal performs measurements on each frequency domain unit on the multiple carriers, estimates the covariance matrix of each frequency domain unit based on the measurement results, and calculates the broadband covariance matrix of the multiple carriers based on the covariance matrix of each frequency domain unit; and selects the L spatial domain basis vectors from the N1×N2×O1×O2 spatial domain basis vectors based on the broadband covariance matrix.

[0066] Here, the frequency domain unit can also be described as a subband.

[0067] Exemplarily, the terminal measures the downlink reference signal (such as CSI-RS) sent by the network device on each frequency domain unit on the multiple carriers, estimates the covariance matrix of each frequency domain unit based on the measurement result, and averages the covariance matrix of each frequency domain unit of the multiple carriers to obtain a broadband covariance matrix of the multiple carriers, and maps the broadband covariance matrix to the spatial domain matrix W1 according to the following formula:

[0068]

[0069] The spatial matrix W1 reflects the selected L spatial basis vectors.

[0070] In an optional embodiment of the present application, the PMI also includes a third information, and the third information is used to indicate n×L×M combination coefficients, where n is the number of antenna polarization directions, and the n×L×M combination coefficients are used to determine a coefficient matrix, and the coefficient matrix is ​​used to determine the precoding matrix of the multiple carriers.

[0071] Here, n represents the number of polarization directions of the antenna. In actual application, n can be 2, that is, the antenna has two polarization directions (called a dual-polarization antenna), or it can be any other number of polarization directions, which is not limited in this application.

[0072] In an optional embodiment of the present application, the method further includes:

[0073] The terminal calculates the spatial domain compression covariance matrix corresponding to each frequency domain unit based on the spatial domain matrix and the covariance matrix of each frequency domain unit; performs eigenvalue decomposition on the spatial domain compression covariance matrix corresponding to each frequency domain unit to obtain the eigenvector corresponding to each frequency domain unit; calculates the coefficient correlation matrix based on the eigenvector corresponding to each frequency domain unit and the spatial domain matrix; and calculates the coefficient matrix based on the coefficient correlation matrix and the frequency domain matrix.

[0074] Here, the spatial compression covariance matrix is ​​obtained using the following formula: in, Represents the spatial domain compressed covariance matrix of each frequency domain unit, R i Represents the covariance matrix of each frequency domain unit.

[0075] Furthermore, i Perform feature forward decomposition respectively to obtain the feature vectors corresponding to each frequency domain unit, which are recorded as It should be noted that when rank(v)=1, the main eigenvector is taken as the eigenvector corresponding to each frequency domain unit, and when rank(v)=2, the second eigenvector is taken as the eigenvector corresponding to each frequency domain unit; for example, taking rank(v)=1 as an example, Represents the principal eigenvector of the covariance matrix corresponding to the nth subband. The coefficient correlation matrix W2 composed of linear combination coefficients in the spatial domain can be expressed as Furthermore, the coefficient matrix is ​​calculated based on the coefficient correlation matrix and the frequency domain matrix. Obtain it through the following methods Among them, W f is the frequency domain matrix.

[0076] Exemplarily, taking rank (v) = 1 as an example, the frequency domain matrix can be obtained as follows: there are N3 frequency domain units on the multiple carriers, and the elements in each beam of the main eigenvector corresponding to the N3 frequency domain units are arranged together, and N3 points of DFT transformation are performed respectively to obtain N3 frequency domain DFT basis vectors. Based on the maximum energy criterion, the following formula is used: Select the M frequency domain basis vectors from the N3 frequency domain basis vectors, thereby obtaining the frequency domain matrix W f =[k1,k2,...,k M ].

[0077] Based on this, in an optional implementation manner of the present application, the multiple carriers have N3 frequency domain units, and the method further includes:

[0078] The terminal determines the N3 frequency domain basis vectors based on the eigenvectors corresponding to the N3 frequency domain units; and selects the M frequency domain basis vectors from the N3 frequency domain basis vectors based on the coefficient correlation matrix.

[0079] In an optional embodiment of the present application, the value of M is determined based on the value of M' corresponding to the multiple carriers, and the value of M' corresponding to each carrier in the multiple carriers is related to the value of N3' corresponding to the carrier, the PMI in each subband corresponding to the carrier is a multiple of the CQI, and the high-level configuration parameters corresponding to the carrier.

[0080] Exemplarily, when there are two carriers (a first carrier and a second carrier), Among them, the value of M' corresponding to the first carrier is The value of M' corresponding to the second carrier is N3,1 Corresponding to N3', it is the number of frequency domain units corresponding to the first carrier, N 3,2 Corresponding to N3', it is the number of frequency domain units corresponding to the second carrier. R1 indicates that the PMI in each subband of the first carrier is a multiple of the CQI (number Of PMI-SubbandsPerCQI-Subband-r16). R2 indicates that the PMI in each subband of the second carrier is a multiple of the CQI (number Of PMI-SubbandsPer CQI-Subband-r16). υ1 is the ratio configured for the first carrier by the higher layer signaling, p υ.2 It is understandable that, in this example, when selecting frequency domain basis vectors, the two carriers are taken as a whole, and a total of M frequency domain basis vectors are selected from the two carriers.

[0081] In an optional implementation manner of the present application, the corresponding carrier has N3′ frequency domain units, and the method further includes:

[0082] The terminal determines the N3' frequency domain basis vectors based on the eigenvectors corresponding to the N3' frequency domain units; and selects the M' frequency domain basis vectors from the N3' frequency domain basis vectors based on the coefficient correlation matrix.

[0083] For example, when there are two carriers (a first carrier and a second carrier), the value of M' corresponding to the first carrier is The value of M' corresponding to the second carrier is N 3,1 Corresponding to N3', it is the number of frequency domain units corresponding to the first carrier, N 3,2 Corresponding to N3', it is the number of frequency domain units corresponding to the second carrier. R1 indicates that the PMI in each subband of the first carrier is a multiple of the CQI (numberOfPMI-SubbandsPer CQI-Subband-r16). R2 indicates that the PMI in each subband of the second carrier is a multiple of the CQI (numberOfPMI-SubbandsPer CQI-Subband-r16). υ.1 is the ratio configured for the first carrier by the higher layer signaling, p υ.2 It is understandable that in this example, when selecting frequency domain basis vectors, M1' frequency domain basis vectors are selected from the first carrier, and M'2 frequency domain basis vectors are selected from the second carrier.

[0084] Based on this, in an optional implementation of the present application, the value of M' is related to the value of N3' corresponding to the corresponding carrier, the PMI in each subband corresponding to the corresponding carrier is a multiple of the CQI, and the high-level configuration parameters corresponding to the corresponding carrier.

[0085] Exemplary, reference Figure 3 , Figure 3 Schematic diagram of the implementation process of the PMI reporting method provided in the embodiment of this application Figure 2 .like Figure 3 As shown, the following steps are included:

[0086] Step 301: The network device receives the PMI reported by the terminal; wherein,

[0087] The PMI includes a first information, where the first information is used to indicate the indexes of M frequency domain basis vectors, where the M frequency domain basis vectors are selected from N3 frequency domain basis vectors, where the N3 frequency domain basis vectors include frequency domain basis vectors of multiple carriers; the M frequency domain basis vectors are used to determine a frequency domain matrix, where the frequency domain matrix is ​​used to determine a precoding matrix for the multiple carriers; or,

[0088] The PMI includes multiple first information, different first information in the multiple first information corresponds to different carriers, the first information is used to indicate the index of M' frequency domain basis vectors of the corresponding carrier, and the M' frequency domain basis vectors are selected from the N3' frequency domain basis vectors of the corresponding carrier; the M' frequency domain basis vectors are used to determine the frequency domain matrix of the corresponding carrier, and the frequency domain matrix is ​​used to determine the precoding matrix of the corresponding carrier.

[0089] For example, when there are two carriers (a first carrier and a second carrier) and one first information is reported, the number of frequency domain units corresponding to the first carrier is N. 3,1 The number of frequency domain units corresponding to the second carrier is N 3,2 N3=N 3,1 +N 3,2 , taking the transmission layer number as 1 as an example, the first information includes index i 1,5 and i 1,6,l , where i 1,5 It is used to indicate the maximum frequency domain basis vector to be selected when N3>19, i 1,6,l Used to indicate the identifier of the frequency domain basis vector when the number of layers is 1.

[0090] i 1,5 and i 1,6,l The value ranges are:

[0091] i 1,5 ∈{0,1,…,2M υ -1};

[0092]

[0093] in, R1 indicates that the PMI in each subband of the first carrier is a multiple of the CQI (number Of PMI-SubbandsPer CQI-Subband-r16). R2 indicates that the PMI in each subband of the second carrier is a multiple of the CQI (number Of PMI-SubbandsPer CQI-Subband-r16). υ.1 is the ratio configured for the first carrier by the higher layer signaling, p υ.2 M is the ratio configured for the second carrier by the higher layer signaling. υ Represents the number of frequency domain basis vectors selected from N3 frequency domain basis vectors.

[0094] The network device recovers the frequency domain matrices of the multiple carriers based on the first information, performs M-point IDFT transformation on the multiple carriers, performs sub-band decompression, and recovers the frequency domain matrices.

[0095] Exemplarily, when there are two carriers (a first carrier and a second carrier) and multiple first information are reported, the number of frequency domain units corresponding to the first carrier is N 3,1 The number of frequency domain units corresponding to the second carrier is N 3,2 Taking the number of transmission layers as l (l is a positive integer) as an example, the first information includes: the index i corresponding to the first carrier 1,5,1 and i 1,6,1,l , and the index i corresponding to the second carrier 1,5,2 and i 1,6,2,l ; Among them, i 1,5,1 Used to indicate when N 3,1 >19, the first carrier is to be selected to represent the maximum frequency domain basis vector, i 1,6,1,l Used to indicate the identifier of the frequency domain basis vector corresponding to the first carrier when the number of layers is 1; i 1,5,2 Used to indicate when N 3,2 When >19, the second carrier is to be selected with the largest representation frequency domain basis vector, i 1,6,2,l Used to indicate the identifier of the frequency domain basis vector corresponding to the second carrier when the number of layers is 1. Among them, M υ,1 or M υ，2 Corresponding to M', N 3,1 or N 3,2 Corresponding to N', M υ,1 Represents from N 3,1 The number of frequency domain basis vectors selected from the frequency domain basis vectors, M υ，2 Represents from N 3,2 The number of frequency domain basis vectors selected from the frequency domain basis vectors.

[0096] Index i corresponding to the first carrier 1,5,1 and i 1,6,1,l , and the index i corresponding to the second carrier 1,5,2 and i 1,6,2,l The value ranges are:

[0097]

[0098]

[0099] The network device recovers the frequency domain matrix of each carrier among the multiple carriers according to the multiple first information, performs IDFT transformation of the M' point corresponding to the carrier, and performs sub-band decompression to recover the frequency domain matrix of the carrier.

[0100] In an optional embodiment of the present application, the PMI also includes a second information, and the second information is used to indicate L spatial basis vectors, and the L spatial basis vectors are selected from N1×N2×O1×O2 spatial basis vectors, N1 represents the number of antennas in the horizontal direction, and N2 represents the number of antennas in the vertical direction; the L spatial basis vectors are used to determine the spatial matrix, and the spatial matrix is ​​used to determine the precoding matrix of the multiple carriers.

[0101] Here, the second information may be the index i 1,2 ,i 1,2 Used to indicate the spatial DFT basis vectors, the network device restores the spatial matrix according to the spatial DFT basis vectors indicated by the second information.

[0102] In an optional embodiment of the present application, the PMI also includes a third information, and the third information is used to indicate n×L×M combination coefficients, where n is the number of antenna polarization directions, and the n×L×M combination coefficients are used to determine a coefficient matrix, and the coefficient matrix is ​​used to determine the precoding matrix of the multiple carriers.

[0103] Here, n represents the number of polarization directions of the antenna. In actual application, n can be 2, that is, the antenna has two polarization directions (called a dual-polarization antenna), or it can be any other number of polarization directions, which is not limited in this application.

[0104] In an optional embodiment of the present application, the value of M is determined based on the value of M' corresponding to the multiple carriers, and the value of M' corresponding to each carrier in the multiple carriers is related to the value of N3' corresponding to the carrier, the PMI in each subband corresponding to the carrier is a multiple of the CQI, and the high-level configuration parameters corresponding to the carrier.

[0105] Exemplarily, when there are two carriers (a first carrier and a second carrier), Among them, the value of M' corresponding to the first carrier is The value of M' corresponding to the second carrier is N 3,1 Corresponding to N3', it is the number of frequency domain units corresponding to the first carrier, N 3,2 Corresponding to N3', it is the number of frequency domain units corresponding to the second carrier. R1 indicates that the PMI in each subband of the first carrier is a multiple of the CQI (number Of PMI-SubbandsPerCQI-Subband-r16). R2 indicates that the PMI in each subband of the second carrier is a multiple of the CQI (number Of PMI-SubbandsPer CQI-Subband-r16). υ.1 is the ratio configured for the first carrier by the higher layer signaling, p υ.2 It is understandable that, in this example, when selecting frequency domain basis vectors, the two carriers are taken as a whole, and a total of M frequency domain basis vectors are selected from the two carriers.

[0106] In an optional implementation of the present application, the value of M' is related to the value of N3' corresponding to the corresponding carrier, the PMI in each subband corresponding to the corresponding carrier is a multiple of the CQI, and the high-layer configuration parameters corresponding to the corresponding carrier.

[0107] For example, when there are two carriers (a first carrier and a second carrier), the value of M' corresponding to the first carrier is The value of M' corresponding to the second carrier is N 3,1 Corresponding to N3', it is the number of frequency domain units corresponding to the first carrier, N 3,2 Corresponding to N3', it is the number of frequency domain units corresponding to the second carrier. R1 indicates that the PMI in each subband of the first carrier is a multiple of the CQI (number Of PMI-SubbandsPer CQI-Subband-r16). R2 indicates that the PMI in each subband of the second carrier is a multiple of the CQI (number Of PMI-SubbandsPer CQI-Subband-r16). υ.1 is the ratio configured for the first carrier by the higher layer signaling, p υ.2 It is understandable that in this example, when selecting frequency domain basis vectors, M1' frequency domain basis vectors are selected from the first carrier, and M'2 frequency domain basis vectors are selected from the second carrier.

[0108] Based on this, in an optional implementation of the present application, the value of M' is related to the value of N3' corresponding to the corresponding carrier, the PMI in each subband corresponding to the corresponding carrier is a multiple of the CQI, and the high-level configuration parameters corresponding to the corresponding carrier.

[0109] In the embodiment of the present application, after receiving the PMI reported by the terminal, the network device calculates the precoding matrix of each subband based on the PMI.

[0110] In an optional embodiment of the present application, when the PMI includes the above-mentioned first information, the network device jointly calculates the precoding matrix for each subband of multiple carriers. For example, there are two carriers (a first carrier and a second carrier), and the number of frequency domain units corresponding to the first carrier is N. 3,1 The number of frequency domain units corresponding to the second carrier is N 3,2 The following table 2 gives the calculation formula of the precoding matrix corresponding to the number of transmission layers v of 1, 2, 3, and 4. As can be seen from the last row of the table, M is performed for each subband of multiple carriers. υ The IDFT transformation of the points is used to calculate the precoding matrix. It should be noted that the subscripts q1, q2, n1, n2, n 3,1 ,n 3,2 ,n 3,3 ,n 3,4 The mapping relationship with index i1 can be determined based on the protocol definition. The index i of the precoding matrix in Table 1 is 2,5,1 ,i 2,5,2 ,i 2,5,3 ,i 2,5,4 , The mapping relationship with the index i2 may be determined based on the protocol definition.

[0111]

[0112]

[0113] Table 2

[0114] In an optional embodiment of the present application, when the PMI includes the above-mentioned multiple first information, the network device calculates the corresponding precoding matrix for each subband of each carrier in the multiple carriers. For example, there are two carriers (a first carrier and a second carrier), and the number of frequency domain units corresponding to the first carrier is N. 3,1 The number of frequency domain units corresponding to the second carrier is N 3,2 The following table 3 gives the calculation formula of the precoding matrix corresponding to the number of transmission layers v of 1, 2, 3, and 4. As can be seen from the last row of the table, M is performed on each subband of the first carrier. υ,1 IDFT transformation of the point is used to calculate the precoding matrix, and M is performed on each subband of the second carrier. υ，2 The IDFT transformation of the points is used to calculate the precoding matrix. It should be noted that the subscripts q1, q2, n1, n2, n 3,1,n 3,2 ,n 3,3 ,n 3,4 The mapping relationship with index i1 can be determined based on the protocol definition. The index i of the precoding matrix in Table 1 is 2,5,1 ,i 2,5,2 ,i 2,5,3 ,i 2,5,4 , The mapping relationship with the index i2 may be determined based on the protocol definition.

[0115]

[0116]

[0117] Table 3

[0118] The PMI reporting method provided in the embodiment of the present application averages the subband channels of multiple carriers into a wideband channel covariance matrix, uniformly selects and reports spatial beams, and multiple carriers share one spatial matrix, which greatly saves the overhead of spatial information calculation and feedback. Two methods for selecting frequency domain basis vectors across multiple carriers are proposed. The first method is that multiple carriers jointly report M frequency domain basis vectors, and multiple carriers share one frequency domain matrix; the second method is that each carrier in the multiple carriers reports M' frequency domain basis vectors separately, and the selection and quantization of non-zero coefficients follow the existing scheme, and do not need to be performed separately on two carriers, saving terminal computing power and feedback overhead.

[0119] The present application embodiment also provides a PMI reporting device 400, referring to Figure 4 The PMI reporting device 400 in this embodiment, applied to a terminal, includes:

[0120] Reporting unit 410: reports PMI to the network device; wherein: the PMI includes a first information, the first information is used to indicate the index of M frequency domain basis vectors, the M frequency domain basis vectors are selected from N3 frequency domain basis vectors, and the N3 frequency domain basis vectors include frequency domain basis vectors of multiple carriers; the M frequency domain basis vectors are used to determine the frequency domain matrix, and the frequency domain matrix is ​​used to determine the precoding matrix of the multiple carriers; or, the PMI includes multiple first information, different first information in the multiple first information corresponds to different carriers, the first information is used to indicate the index of M' frequency domain basis vectors of the corresponding carrier, and the M' frequency domain basis vectors are selected from N3' frequency domain basis vectors of the corresponding carrier; the M' frequency domain basis vectors are used to determine the frequency domain matrix of the corresponding carrier, and the frequency domain matrix is ​​used to determine the precoding matrix of the corresponding carrier.

[0121] In an embodiment of the present application, the PMI also includes a second information, and the second information is used to indicate L spatial basis vectors, and the L spatial basis vectors are selected from N1×N2×O1×O2 spatial basis vectors, N1 represents the number of antennas in the horizontal direction, and N2 represents the number of antennas in the vertical direction; the L spatial basis vectors are used to determine the spatial matrix, and the spatial matrix is ​​used to determine the precoding matrix of the multiple carriers.

[0122] In an embodiment of the present application, the reporting unit 410 is used to perform measurements on each frequency domain unit on the multiple carriers, estimate the covariance matrix of each frequency domain unit based on the measurement results, and calculate the broadband covariance matrix of the multiple carriers based on the covariance matrix of each frequency domain unit; and select the L spatial domain basis vectors from the N1×N2×O1×O2 spatial domain basis vectors based on the broadband covariance matrix.

[0123] In an embodiment of the present application, the PMI also includes a third information, and the third information is used to indicate n×L×M combination coefficients, where n is the number of antenna polarization directions, and the n×L×M combination coefficients are used to determine a coefficient matrix, and the coefficient matrix is ​​used to determine the precoding matrix of the multiple carriers.

[0124] In an embodiment of the present application, the reporting unit 410 is used to calculate the spatial domain compression covariance matrix corresponding to each frequency domain unit based on the spatial domain matrix and the covariance matrix of each frequency domain unit; perform eigenvalue decomposition on the spatial domain compression covariance matrix corresponding to each frequency domain unit to obtain the eigenvector corresponding to each frequency domain unit; calculate the coefficient correlation matrix based on the eigenvector corresponding to each frequency domain unit and the spatial domain matrix; calculate the coefficient matrix based on the coefficient correlation matrix and the frequency domain matrix.

[0125] In an embodiment of the present application, there are N3 frequency domain units on the multiple carriers, and the reporting unit 410 is used to determine the N3 frequency domain basis vectors based on the eigenvectors corresponding to the N3 frequency domain units; and select the M frequency domain basis vectors from the N3 frequency domain basis vectors based on the coefficient correlation matrix.

[0126] In an embodiment of the present application, the value of M is determined based on the value of M' corresponding to the multiple carriers, and the value of M' corresponding to each carrier in the multiple carriers is related to the value of N3' corresponding to the carrier, the PMI in each subband corresponding to the carrier is a multiple of the CQI, and the high-level configuration parameters corresponding to the carrier.

[0127] In an embodiment of the present application, there are N3' frequency domain units on the corresponding carrier, and the reporting unit 410 is used to determine the N3' frequency domain basis vectors based on the eigenvectors corresponding to the N3' frequency domain units; and select the M' frequency domain basis vectors from the N3' frequency domain basis vectors based on the coefficient correlation matrix.

[0128] In the embodiment of the present application, the value of M' is related to the value of N3' corresponding to the corresponding carrier, the PMI in each subband corresponding to the corresponding carrier is a multiple of the CQI, and the high-level configuration parameters corresponding to the corresponding carrier.

[0129] Those skilled in the art should understand that Figure 4 The implementation functions of each unit in the PMI reporting apparatus 400 shown can be understood by referring to the relevant description of the aforementioned method. Figure 4 The functions of the various units in the PMI reporting apparatus 400 shown may be implemented by a program running on a processor, or may be implemented by a specific logic circuit.

[0130] The present application embodiment also provides a PMI reporting device 500, referring to Figure 5 The PMI reporting device 500 in this embodiment is applied to a network device and includes:

[0131] Receiving unit 510: used to receive the PMI reported by the terminal; wherein the PMI includes a first information, the first information is used to indicate the indexes of M frequency domain basis vectors, the M frequency domain basis vectors are selected from N3 frequency domain basis vectors, and the N3 frequency domain basis vectors include frequency domain basis vectors of multiple carriers; the M frequency domain basis vectors are used to determine the frequency domain matrix, and the frequency domain matrix is ​​used to determine the precoding matrix of the multiple carriers; or, the PMI includes multiple first information, different first information in the multiple first information corresponds to different carriers, the first information is used to indicate the indexes of M' frequency domain basis vectors of the corresponding carrier, and the M' frequency domain basis vectors are selected from N3' frequency domain basis vectors of the corresponding carrier; the M' frequency domain basis vectors are used to determine the frequency domain matrix of the corresponding carrier, and the frequency domain matrix is ​​used to determine the precoding matrix of the corresponding carrier.

[0132] In an embodiment of the present application, the PMI also includes a second information, and the second information is used to indicate L spatial basis vectors, and the L spatial basis vectors are selected from N1×N2×O1×O2 spatial basis vectors, N1 represents the number of antennas in the horizontal direction, and N2 represents the number of antennas in the vertical direction; the L spatial basis vectors are used to determine the spatial matrix, and the spatial matrix is ​​used to determine the precoding matrix of the multiple carriers.

[0133] In an embodiment of the present application, the PMI also includes a third information, and the third information is used to indicate n×L×M combination coefficients, where n is the number of antenna polarization directions, and the n×L×M combination coefficients are used to determine a coefficient matrix, and the coefficient matrix is ​​used to determine the precoding matrix of the multiple carriers.

[0134] In an embodiment of the present application, the value of M is determined based on the value of M' corresponding to the multiple carriers, and the value of M' corresponding to each carrier in the multiple carriers is related to the value of N3' corresponding to the carrier, the PMI in each subband corresponding to the carrier is a multiple of the CQI, and the high-level configuration parameters corresponding to the carrier.

[0135] In the embodiment of the present application, the value of M' is related to the value of N3 corresponding to the corresponding carrier, the PMI in each subband corresponding to the corresponding carrier is a multiple of the CQI, and the high-level configuration parameters corresponding to the corresponding carrier.

[0136] It should be understood by those skilled in the art that Figure 5 The implementation functions of each unit in the PMI reporting device 500 shown can be understood by referring to the relevant description of the aforementioned method. Figure 5 The functions of the various units in the PMI reporting apparatus 500 shown may be implemented by a program running on a processor, or may be implemented by a specific logic circuit.

[0137] Figure 6 It is a schematic structural diagram of a communication device 600 provided in an embodiment of the present application. Figure 6 The communication device 600 shown includes a processor 610, which can call and run a computer program from a memory to implement the method in the embodiment of the present application.

[0138] Alternatively, as Figure 6 As shown, the communication device 600 may further include a memory 620. The processor 610 may call and execute a computer program from the memory 620 to implement the method in the embodiment of the present application.

[0139] The memory 620 may be a separate device independent of the processor 610 , or may be integrated into the processor 610 .

[0140] Alternatively, as Figure 6 As shown, the communication device 600 may further include a transceiver 630 , and the processor 610 may control the transceiver 630 to communicate with other devices, specifically, to send information or data to other devices, or to receive information or data sent by other devices.

[0141] The transceiver 630 may include a transmitter and a receiver. The transceiver 630 may further include an antenna, and the number of antennas may be one or more.

[0142] The communication device 600 may specifically be the PMI reporting device 400 / PMI reporting device 500 of the embodiment of the present application, and the communication device 600 may implement the corresponding processes implemented by the PMI reporting device 400 / PMI reporting device 500 in each method of the embodiment of the present application, which will not be described here for the sake of brevity.

[0143] Illustratively, an embodiment of the present application further provides a computer program product, including a computer program, which can be executed by the processor 610 of the communication device 600 to complete the steps of any of the aforementioned methods.

[0144] Figure 7 It is a schematic structural diagram of the chip of an embodiment of the present application. Figure 7 The chip 700 shown includes a processor 710, which can call and run a computer program from a memory to implement the method in the embodiment of the present application.

[0145] Alternatively, as Figure 7 As shown, the chip 700 may further include a memory 720. The processor 710 may call and execute a computer program from the memory 720 to implement the method in the embodiment of the present application.

[0146] The memory 720 may be a separate device independent of the processor 710 , or may be integrated into the processor 710 .

[0147] Optionally, the chip 700 may further include an input interface 730. The processor 710 may control the input interface 730 to communicate with other devices or chips, and specifically, may obtain information or data sent by other devices or chips.

[0148] Optionally, the chip 700 may further include an output interface 740. The processor 710 may control the output interface 740 to communicate with other devices or chips, and specifically, may output information or data to other devices or chips.

[0149] The chip can be applied to the PMI reporting device 400 / PMI reporting device 500 in the embodiments of the present application, and the chip can implement the corresponding processes implemented by the PMI reporting device 400 / PMI reporting device 500 in each method of the embodiments of the present application. For the sake of brevity, they are not repeated here.

[0150] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0151] It should be understood that the processor of the embodiment of the present application may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method embodiment can be completed by hardware integrated logic circuits in the processor or software instructions. The above processor can be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The various methods, steps, and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the embodiments of the present application can be directly embodied as being executed by a hardware decoding processor, or can be executed by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium mature in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, etc. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.

[0152] It is understood that the memory in the embodiments of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct RAM bus random access memory (DR RAM). It should be noted that the memory of the systems and methods described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0153] It should be understood that the above-mentioned memories are exemplary but not restrictive. For example, the memories in the embodiments of the present application may also be static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct RAM RAM (DR RAM), etc. In other words, the memories in the embodiments of the present application are intended to include, but are not limited to, these and any other suitable types of memories.

[0154] The present invention also provides a computer-readable storage medium for storing a computer program. The computer-readable storage medium can be applied to the PMI reporting apparatus 400 / PMI reporting apparatus 500 in the present invention. The computer program causes a computer to execute the corresponding processes implemented by the PMI reporting apparatus 400 / PMI reporting apparatus 500 in the various methods of the present invention. For the sake of brevity, these procedures are not further described here.

[0155] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0156] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0157] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0158] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0159] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0160] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a PMI reporting device 400 / PMI reporting device 500, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0161] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A method for reporting precoding information PMI, characterized in that: The method comprises: The terminal reports the PMI to the network device; where: The PMI includes a first information, where the first information is used to indicate the indexes of M frequency domain basis vectors, where the M frequency domain basis vectors are selected from N3 frequency domain basis vectors, where the N3 frequency domain basis vectors include frequency domain basis vectors of multiple carriers; the M frequency domain basis vectors are used to determine a frequency domain matrix, where the frequency domain matrix is ​​used to determine a precoding matrix for the multiple carriers; or, The PMI includes multiple first information, different first information in the multiple first information corresponds to different carriers, the first information is used to indicate the index of M' frequency domain basis vectors of the corresponding carrier, and the M' frequency domain basis vectors are selected from the N'3 frequency domain basis vectors of the corresponding carrier; the M' frequency domain basis vectors are used to determine the frequency domain matrix of the corresponding carrier, and the frequency domain matrix is ​​used to determine the precoding matrix of the corresponding carrier.

2. The method according to claim 1, characterized in that The PMI also includes a second information, which is used to indicate L spatial basis vectors, where the L spatial basis vectors are selected from N1×N2×O1×O2 spatial basis vectors, where N1 represents the number of antennas in the horizontal direction and N2 represents the number of antennas in the vertical direction; the L spatial basis vectors are used to determine the spatial matrix, which is used to determine the precoding matrix of the multiple carriers.

3. The method according to claim 2, characterized in that The method further comprises: The terminal performs measurements on each frequency domain unit on the multiple carriers, estimates the covariance matrix of each frequency domain unit based on the measurement results, and calculates the broadband covariance matrix of the multiple carriers based on the covariance matrix of each frequency domain unit; and selects the L spatial domain basis vectors from the N1×N2×O1×O2 spatial domain basis vectors based on the broadband covariance matrix.

4. The method according to claim 3, characterized in that The PMI also includes a third information, where the third information is used to indicate n×L×M combination coefficients, where n is the number of antenna polarization directions. The n×L×M combination coefficients are used to determine a coefficient matrix, which is used to determine a precoding matrix for the multiple carriers.

5. The method according to claim 4, characterized in that The method further comprises: The terminal calculates the spatial domain compression covariance matrix corresponding to each frequency domain unit based on the spatial domain matrix and the covariance matrix of each frequency domain unit; performs eigenvalue decomposition on the spatial domain compression covariance matrix corresponding to each frequency domain unit to obtain the eigenvector corresponding to each frequency domain unit; calculates the coefficient correlation matrix based on the eigenvector corresponding to each frequency domain unit and the spatial domain matrix; and calculates the coefficient matrix based on the coefficient correlation matrix and the frequency domain matrix.

6. The method according to claim 5, characterized in that The multiple carriers have N3 frequency domain units, and the method further includes: The terminal determines the N3 frequency domain basis vectors based on the eigenvectors corresponding to the N3 frequency domain units; and selects the M frequency domain basis vectors from the N3 frequency domain basis vectors based on the coefficient correlation matrix.

7. The method according to claim 6, characterized in that The value of M is determined based on the value of M' corresponding to the multiple carriers, and the value of M' corresponding to each carrier in the multiple carriers is related to the value of N'3 corresponding to the carrier, the PMI in each subband corresponding to the carrier is a multiple of the CQI, and the high-level configuration parameters corresponding to the carrier.

8. The method according to claim 5, characterized in that The corresponding carrier has N′3 frequency domain units, and the method further includes: The terminal determines the N′3 frequency domain basis vectors based on the eigenvectors corresponding to the N′3 frequency domain units; and selects the M′ frequency domain basis vectors from the N′3 frequency domain basis vectors based on the coefficient correlation matrix.

9. The method according to claim 8, characterized in that The value of M' is related to the value of N'3 corresponding to the corresponding carrier, the PMI in each subband corresponding to the corresponding carrier is a multiple of the CQI, and the high-layer configuration parameters corresponding to the corresponding carrier.

10. A PMI reporting method, characterized in that: The method comprises: The network device receives the PMI reported by the terminal; wherein, The PMI includes a first information, where the first information is used to indicate the indexes of M frequency domain basis vectors, where the M frequency domain basis vectors are selected from N3 frequency domain basis vectors, where the N3 frequency domain basis vectors include frequency domain basis vectors of multiple carriers; the M frequency domain basis vectors are used to determine a frequency domain matrix, where the frequency domain matrix is ​​used to determine a precoding matrix for the multiple carriers; or, The PMI includes multiple first information, different first information in the multiple first information corresponds to different carriers, the first information is used to indicate the index of M′ frequency domain basis vectors of the corresponding carrier, and the M′ frequency domain basis vectors are selected from the N′3 frequency domain basis vectors of the corresponding carrier; the M′ frequency domain basis vectors are used to determine the frequency domain matrix of the corresponding carrier, and the frequency domain matrix is ​​used to determine the precoding matrix of the corresponding carrier.

11. The method according to claim 10, characterized in that The PMI also includes a second information, which is used to indicate L spatial basis vectors, where the L spatial basis vectors are selected from N1×N2×O1×O2 spatial basis vectors, where N1 represents the number of antennas in the horizontal direction and N2 represents the number of antennas in the vertical direction; the L spatial basis vectors are used to determine the spatial matrix, which is used to determine the precoding matrix of the multiple carriers.

12. The method according to claim 11, characterized in that The PMI also includes a third information, where the third information is used to indicate n×L×M combination coefficients, where n is the number of antenna polarization directions. The n×L×M combination coefficients are used to determine a coefficient matrix, which is used to determine a precoding matrix for the multiple carriers.

13. The method according to claim 12, characterized in that The value of M is determined based on the value of M' corresponding to the multiple carriers, and the value of M' corresponding to each carrier in the multiple carriers is related to the value of N'3 corresponding to the carrier, the PMI in each subband corresponding to the carrier is a multiple of the CQI, and the high-level configuration parameters corresponding to the carrier.

14. The method according to claim 12, characterized in that The value of M' is related to the value of N'3 corresponding to the corresponding carrier, the PMI in each subband corresponding to the corresponding carrier is a multiple of the CQI, and the high-layer configuration parameters corresponding to the corresponding carrier.

15. A PMI reporting device, characterized in that: Applied to terminals, including: Reporting unit: used to report PMI to network devices; where: The PMI includes a first information, where the first information is used to indicate the indexes of M frequency domain basis vectors, where the M frequency domain basis vectors are selected from N3 frequency domain basis vectors, where the N3 frequency domain basis vectors include frequency domain basis vectors of multiple carriers; the M frequency domain basis vectors are used to determine a frequency domain matrix, where the frequency domain matrix is ​​used to determine a precoding matrix for the multiple carriers; or, The PMI includes multiple first information, different first information in the multiple first information corresponds to different carriers, the first information is used to indicate the index of M' frequency domain basis vectors of the corresponding carrier, and the M' frequency domain basis vectors are selected from the N'3 frequency domain basis vectors of the corresponding carrier; the M' frequency domain basis vectors are used to determine the frequency domain matrix of the corresponding carrier, and the frequency domain matrix is ​​used to determine the precoding matrix of the corresponding carrier.

16. A PMI reporting device, characterized in that: Applicable to network equipment, including: Receiving unit: used to receive the PMI reported by the terminal; The PMI includes a first information, where the first information is used to indicate the indexes of M frequency domain basis vectors, where the M frequency domain basis vectors are selected from N3 frequency domain basis vectors, where the N3 frequency domain basis vectors include frequency domain basis vectors of multiple carriers; the M frequency domain basis vectors are used to determine a frequency domain matrix, where the frequency domain matrix is ​​used to determine a precoding matrix for the multiple carriers; or, The PMI includes multiple first information, different first information in the multiple first information corresponds to different carriers, the first information is used to indicate the index of M' frequency domain basis vectors of the corresponding carrier, and the M' frequency domain basis vectors are selected from the N'3 frequency domain basis vectors of the corresponding carrier; the M' frequency domain basis vectors are used to determine the frequency domain matrix of the corresponding carrier, and the frequency domain matrix is ​​used to determine the precoding matrix of the corresponding carrier.

17. A communication device, characterized in that: include: A processor and a memory, the memory being used to store a computer program, the processor being used to call and run the computer program stored in the memory to execute the PMI reporting method according to any one of claims 1 to 9, or the PMI reporting method according to any one of claims 10 to 14.

18. A chip, characterized in that: include: A processor, configured to call and run a computer program from a memory, so that a device equipped with the chip executes the PMI reporting method according to any one of claims 1 to 9, or the PMI reporting method according to any one of claims 10 to 14.

19. A computer-readable storage medium, characterized in that Used to store a computer program, wherein the computer program enables a computer to execute the PMI reporting method according to any one of claims 1 to 9, or the PMI reporting method according to any one of claims 10 to 14.

20. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the computer program implements the PMI reporting method according to any one of claims 1 to 9, or the PMI reporting method according to any one of claims 10 to 14.

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