CN111181609B

CN111181609B - Codebook information feedback method, terminal and network equipment

Info

Publication number: CN111181609B
Application number: CN201811348306.0A
Authority: CN
Inventors: 宋扬; 孙鹏
Original assignee: Vivo Mobile Communication Co Ltd
Current assignee: Vivo Mobile Communication Co Ltd
Priority date: 2018-11-13
Filing date: 2018-11-13
Publication date: 2021-06-11
Anticipated expiration: 2038-11-13
Also published as: CN111181609A

Abstract

The embodiment of the invention provides a codebook information feedback method, a terminal and network equipment, wherein the method comprises the following steps: feeding back codebook information of a CSI codebook, wherein the CSI codebook comprises a space beam vector matrix, a compressed coefficient matrix and at least one compressed vector, and elements in the compressed coefficient matrix are quantized values of compressed coefficients; the compression coefficient is a coefficient obtained by compressing the combination coefficient; or the compression coefficient is a coefficient obtained by compressing a sampling combination coefficient, and the sampling combination coefficient is a combination coefficient of partial frequency domain granularity; or, the compressed coefficient comprises a coefficient obtained by compressing the combined coefficient and then sampling the compressed coefficient; the codebook information includes spatial beam vector information included in the spatial beam vector matrix, elements of the compressed coefficient matrix, and vector information of the at least one compressed vector. The embodiment of the invention can reduce the feedback overhead of the CSI codebook.

Description

Codebook information feedback method, terminal and network equipment

Technical Field

The present invention relates to the field of communications technologies, and in particular, to a codebook information feedback method, a terminal, and a network device.

Background

Channel State Information (CSI) codebook feedback is enhanced in a New Radio (NR) system, and the CSI codebook feedback has two modes of Type 1(Type I) and Type 2(Type II), wherein the Type II feedback mode adopts a spatial orthogonal baseline Combination (LC) which is compressed in a space domain essentially, namely a Combination coefficient matrix W of the CSI codebook₂Although the spatial domain compressed combination coefficient matrix is compressed in the spatial domain, the CSI codebook feedback overhead is still large.

Disclosure of Invention

The embodiment of the invention provides a codebook information feedback method, a terminal and network equipment, and aims to solve the problem of high CSI codebook feedback overhead.

In a first aspect, an embodiment of the present invention provides a codebook information feedback method, which is applied to a terminal, and includes:

feeding back codebook information of a CSI codebook, wherein the CSI codebook comprises a space beam vector matrix, a compressed coefficient matrix and at least one compressed vector, and elements in the compressed coefficient matrix are quantized values of compressed coefficients;

the compression coefficient is a coefficient obtained by compressing the combination coefficient; or the compression coefficient is a coefficient obtained by compressing a sampling combination coefficient, and the sampling combination coefficient is a combination coefficient of partial frequency domain granularity; or, the compressed coefficient comprises a coefficient obtained by compressing the combined coefficient and then sampling the compressed coefficient;

the codebook information includes spatial beam vector information included in the spatial beam vector matrix, elements of the compressed coefficient matrix, and vector information of the at least one compressed vector.

In a second aspect, an embodiment of the present invention provides a codebook information feedback method, applied to a network device, including:

receiving codebook information of a CSI codebook, wherein the CSI codebook comprises a space beam vector matrix, a compressed coefficient matrix and at least one compressed vector, and elements in the compressed coefficient matrix are quantized values of compressed coefficients;

In a third aspect, an embodiment of the present invention provides a terminal, including:

the feedback module is used for feeding back codebook information of a CSI codebook, wherein the CSI codebook comprises a space beam vector matrix, a compression coefficient matrix and at least one compression vector, and elements in the compression coefficient matrix are quantization values of compression coefficients;

In a fourth aspect, an embodiment of the present invention provides a network device, including:

the device comprises a receiving module, a processing module and a processing module, wherein the receiving module is used for receiving codebook information of a CSI codebook, the CSI codebook comprises a space beam vector matrix, a compressed coefficient matrix and at least one compressed vector, and elements in the compressed coefficient matrix are quantized values of a compressed coefficient;

In a fifth aspect, an embodiment of the present invention provides a terminal, including: the codebook feedback method comprises a memory, a processor and a program which is stored on the memory and can run on the processor, wherein the program realizes the steps in the terminal-side codebook information feedback method provided by the embodiment of the invention when being executed by the processor.

In a sixth aspect, an embodiment of the present invention provides a network device, where the network device includes: the codebook information feedback method comprises a memory, a processor and a program which is stored on the memory and can run on the processor, wherein the program realizes the steps in the codebook information feedback method at the network equipment side provided by the embodiment of the invention when being executed by the processor.

In a seventh aspect, an embodiment of the present invention provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and the computer program, when executed by a processor, implements the steps in the codebook information feedback method on the terminal side provided in the embodiment of the present invention, or the computer program, when executed by the processor, implements the steps in the codebook information feedback method on the network device side provided in the embodiment of the present invention.

The embodiment of the invention can reduce the feedback overhead of the CSI codebook.

Drawings

Fig. 1 is a block diagram showing a network system to which an embodiment of the present invention is applicable;

fig. 2 is a flowchart illustrating a codebook information feedback method according to an embodiment of the present invention;

FIG. 3 is a flowchart illustrating another codebook information feedback method according to an embodiment of the present invention;

fig. 4 is a structural diagram of a terminal according to an embodiment of the present invention;

fig. 5 is a block diagram of a network device according to an embodiment of the present invention;

fig. 6 is a block diagram of another terminal provided in an embodiment of the present invention;

fig. 7 is a block diagram of another network device according to an embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The terms "comprises," "comprising," or any other variation thereof, in the description and claims of this application, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Furthermore, the use of "and/or" in the specification and claims means that at least one of the connected objects, such as a and/or B, means that three cases, a alone, B alone, and both a and B, exist.

In the embodiments of the present invention, words such as "exemplary" or "for example" are used to mean serving as examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "e.g.," an embodiment of the present invention is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.

Embodiments of the present invention are described below with reference to the accompanying drawings. The codebook information feedback method, the terminal and the network equipment provided by the embodiment of the invention can be applied to a wireless communication system. The wireless communication system may be a 5G system, an Evolved Long Term Evolution (lte) system, or a subsequent lte communication system.

Referring to fig. 1, fig. 1 is a structural diagram of a network system to which an embodiment of the present invention is applicable, and as shown in fig. 1, the network system includes a terminal 11 and a network device 12, where the terminal 11 may be a User Equipment (UE) or other terminal-side devices, for example: it should be noted that, in the embodiment of the present invention, a specific type of the terminal 11 is not limited, and the terminal may be a terminal-side Device such as a Mobile phone, a Tablet Personal Computer (Tablet Personal Computer), a Laptop Computer (Laptop Computer), a Personal Digital Assistant (PDA), a Mobile Internet Device (MID), or a Wearable Device (Wearable Device). The network device 12 may be a 4G base station, or a 5G base station, or a later-version base station, or a base station in another communication system, or referred to as a node B, an evolved node B, or a Transmission Reception Point (TRP), or an Access Point (AP), or another vocabulary in the field, and the network device is not limited to a specific technical vocabulary as long as the same technical effect is achieved. In addition, the network device 12 may be a Master Node (MN) or a Secondary Node (SN). It should be noted that, in the embodiment of the present invention, only the 5G base station is taken as an example, but the specific type of the network device is not limited.

Referring to fig. 2, fig. 2 is a flowchart of a codebook information feedback method according to an embodiment of the present invention, where the method is applied to a terminal, and as shown in fig. 2, the method includes the following steps:

step 201, feeding back codebook information of a CSI codebook, where the CSI codebook includes a spatial beam vector matrix, a compressed coefficient matrix and at least one compressed vector, and an element in the compressed coefficient matrix is a quantized value of a compressed coefficient;

The feedback may be to feedback codebook information of the CSI codebook to a communication entity, for example: feedback to a network side (e.g., network device), or feedback to other terminals, etc., where in the embodiment of the present invention, feedback to the network device is exemplified.

The CSI codebook may be a codebook further improved based on a CSI codebook of a Type II feedback manner (i.e., a Type II CSI codebook), for example: the compressed coefficient matrix of the CSI codebook in the embodiment of the invention can be a combined coefficient matrix W of a Type II CSI codebook layer r_2,rFurther compression, or on the combined coefficient matrix W_2,rSampling and recompressing, or for the combined coefficient matrix W_2,rAnd compressing the compression coefficient matrix obtained by resampling. Wherein, the layer r corresponds to the r-th layer of the rank determined and fed back by the terminal.

It should be noted that the compressed coefficient includes a coefficient obtained by compressing the combination coefficient and then sampling the compressed coefficient, and the compressed coefficient includes a coefficient obtained by compressing the combination coefficient and then sampling the compressed coefficient.

In addition, the combination coefficient in step 201 may be a combination coefficient in a combination coefficient matrix after spatial compression, for example: combined coefficient matrix W of Type II CSI codebook layer r_2,rThe combination coefficient of (1). Thus, the compression coefficient matrix can be compressed and quantized in three ways through step 201:

firstly, compressing and quantizing the combined coefficients of the combined coefficient matrix after spatial compression;

sampling the combined coefficients of part of frequency domain granularity from the combined coefficient matrix after spatial compression, compressing and quantizing the sampled combined coefficients;

and thirdly, compressing the combined coefficient of the combined coefficient matrix after spatial domain compression, then sampling and quantizing.

The at least one compressed vector may be an orthogonal basis vector used in the compression described in step 201, that is, the compression described in step 201 may refer to compression performed using the at least one compressed vector.

The vector information may be information for representing the at least one compressed vector, that is, the vector information may be fed back to enable the network device to determine the at least one compressed vector, and further calculate the precoding matrix according to the spatial beam vector information included in the spatial beam vector matrix, the elements of the compressed coefficient matrix, and the at least one compressed vector.

In addition, if the compressed coefficient is a coefficient obtained by compressing a sampling combination coefficient, the network device may calculate the partial frequency from spatial beam vector information included in a spatial beam vector matrix, an element of the compressed coefficient matrix, and the at least one compressed vectorPrecoding matrix at domain granularity. Further, the network device may further obtain a precoding matrix on other frequency domain granularities through interpolation calculation. Alternatively, the network device may calculate the combined coefficient matrix W at the granularity of the partial frequency domain according to the elements of the compressed coefficient matrix and the at least one compressed vector_2,rFurther obtaining a combination coefficient matrix W on other frequency domain granularities through interpolation calculation_2,rSo as to obtain a combination coefficient matrix W on all frequency domain granularities according to the space beam vector information contained in the space beam vector matrix and the calculation_2,rAnd calculating precoding matrixes on all frequency domain granularities.

It should be noted that the sampling in the embodiment of the present invention may be performed at equal intervals (e.g., comb-shaped) or at unequal intervals.

In the above step, since the elements in the compressed coefficient matrix are quantized values of compressed coefficients, and the compressed coefficients are compressed of combined coefficients, or samples are recompressed, or compressed and resampled, the feedback overhead of the CSI codebook can be reduced.

The spatial beam vector information included in the spatial beam vector matrix may be L pieces of spatial beam vector identification information determined by Type II CSI. In addition, the spatial beam vector matrix may be W₁That is, the spatial beam vector matrix is a block diagonal matrix consisting of L spatial beam vectors

It should be noted that the compression in the embodiment of the present invention may be time domain compression or frequency domain compression, for example: the at least one compressed vector is used for time domain compression or frequency domain compression, i.e. the at least one compressed vector may also be referred to as a frequency domain compressed vector or a time domain compressed vector.

The time domain compression may be to transform the frequency domain coefficients in the matrix to be compressed into time domain coefficients by a matrix (i.e., Inverse Discrete Fourier Transform (IDFT)) formed by the at least one compressed vector, and then select a part of the time domain coefficients. The frequency domain compression may be to transform the matrix to be compressed by the at least one compression vector to obtain a compression matrix with less matrix columns than the matrix columns to be compressed.

Below with W_2，rRepresenting the matrix to be compressed, for example: a combined coefficient matrix, or a combined coefficient matrix representing the granularity of a portion of the frequency domain obtained after sampling, W₃An orthogonal matrix representing the composition of said at least one compressed vector, and use of W₃To W_2，rIs subjected to orthogonal transformation to obtain

From W₃Is orthogonal to

The time domain compression and the frequency domain compression are exemplified:

for time domain compression, see the following description:

suppose W₃Determining an Inverse Discrete Fourier Transform (IDFT) matrix of dimension M × M corresponds to transforming the coefficients of the frequency domain into the time domain, i.e., for W_2，rIs changed over

The precoding matrix of layer r in the frequency domain is represented as follows:

wherein, the above

Is a space beam vector matrix, wherein N1, N₂The number of ports of a Channel State Information-Reference signal (CSI-RS) in two dimensions, respectively.

If W is_2，rAnd sparsity exists in the time domain, only a small number of time domain coefficients with large amplitude can be fed back, and other time domain coefficients are zero. In addition, due to W_2，rEach column of (1) is normalized, and one element of each column is 1, so that feedback is not needed. FalseAnd if only the K time domain coefficients with the maximum amplitude after IDFT transformation are fed back, the number of complex numbers needing to be fed back in each layer is reduced from (2L-1) M to (2L-1) K, and the serial numbers of the selected K nonzero coefficients are fed back, so that time domain compression is realized.

Frequency domain compression can be seen in the following description:

suppose W₃Including the selected K (K < M) optimal orthogonal basis vectors, W can be approximately recovered_2，r. For example: w₃Including K orthogonal DFT vectors selected, or K right principal Singular vectors decomposed by Singular Value Decomposition (SVD), and the like. To W_2，rPerforming orthogonal transformation

The representation of the precoding matrix of layer r in the frequency domain can be written as:

therefore, the content needing to be fed back is composed of W in 2L multiplied by M dimensions_2，rInto 2L × K dimensions

And the number of the selected K orthogonal vectors. Due to W_2，rEach column of the (1) and the element of each column is 1, feedback is not needed, and therefore the number of complex numbers needing feedback in each layer is reduced from (2L-1) M to (2L-1) K, and frequency domain compression is achieved.

It should be noted that the time domain compression and the frequency domain compression described above are merely examples, and in the embodiment of the present invention, the compression method is not limited.

As an optional implementation, the compressed coefficients include a first partial coefficient and a second partial coefficient, and the compressed coefficients include:

the first part of coefficients are coefficients obtained by sampling coefficients obtained by compressing the combined coefficients;

the second partial coefficient is the difference between the non-sampled coefficient obtained by compressing the combined coefficient and the first partial coefficient.

The difference between the non-sampled coefficient and the first partial coefficient may be a difference between each non-sampled coefficient and its corresponding sampling coefficient, for example: for an un-sampled coefficient, the difference corresponding to the un-sampled coefficient is the difference between the un-sampled coefficient and its neighboring sampled coefficient. The non-sampled coefficient can thus be determined from the difference and its neighboring sampled coefficients.

In this embodiment, since the compressed coefficient includes the sampling coefficient and the difference value, the network device can accurately derive the value of each element in the compressed coefficient matrix.

Of course, in the embodiment of the present invention, the difference corresponding to the second partial coefficient may not be included, so that the feedback overhead may be further reduced, and the network device may obtain the value of each element in the compressed coefficient matrix in an interpolation manner.

As an optional implementation, the compressed coefficient matrix is a compressed coefficient matrix of a layer r, the sampling combination coefficient is a combination coefficient of the layer r at the granularity of the partial frequency domain, and the layer r is a layer corresponding to a rank (rank) of the CSI.

The layer r may be any layer corresponding to the rank of CSI, for example: the rank of CSI corresponds to R layers, or R is referred to as a rank number, and R may be equal to any integer from 1 to R, i.e., R is 1, 2, …, R.

In this embodiment, the sampling combination coefficient corresponding to the compression coefficient matrix of each layer may be the combination coefficient on the granularity of the partial frequency domain, so that the codebook of each layer is compressed, and the feedback overhead is further reduced.

As an alternative implementation, the sampling combination coefficient is: and sampling the combined coefficients of the partial frequency domain granularities according to the sampling parameters in the M combined coefficients of the basic frequency domain granularities, wherein M is an integer greater than or equal to 1.

Wherein, the granularity of the basic frequency domain may be a sub-band or a Resource Block (RB). In addition, when M is greater than 1, the partial frequency-domain granularity of the sampling may be obtained by sampling the combination coefficients of X frequency-domain granularities at equal intervals (e.g., comb-shaped) or unequal intervals among the combination coefficients of M basic frequency-domain granularities.

For example: taking one frequency domain granularity sampled every two frequency domain granularities as an example, the combination coefficients on all the M frequency domain granularities of the layer r to be compressed are changed into the combination coefficients on K frequency domain granularities, wherein K is lower integer of M/2. Namely, the original combined coefficient matrix to be compressed is:

wherein, c_l，rThe term (M) is a combination coefficient of the L (L ═ 1, 2, …, 2L) th orthogonal beam vectors of the layer r on the subband M (M ═ 1, 2, …, M), and L is the number of orthogonal beam vectors.

Taking the combination coefficient of the sampled odd sub-band as an example, the matrix of the combination coefficient to be compressed after sampling is:

wherein

In this embodiment, partial frequency domain granularity of the sampled combining coefficients among the M basic frequency domain granularity of the combining coefficients may be implemented, so that fewer K compressed vectors may be selected to reduce the feedback overhead.

Optionally, the sampling parameter is specified by a network configuration or a protocol, and includes at least one of the following:

sampling interval and start offset.

The start offset may represent the frequency-domain granularity of the first sample of the M basic frequency-domain granularities, and thus the start offset may also be referred to as a start-granularity offset.

As an optional implementation, the vector information includes:

a selected one of a plurality of predefined combination identifiers is used for indicating the combination identifier of the at least one compressed vector and the corresponding compressed coefficient; or the like, or, alternatively,

a selected one of the predefined plurality of combined identifications is used to indicate a combined identification of a position of at least one time domain coefficient.

In this embodiment, a plurality of combination identifiers are predefined, and each combination identifier corresponds to a combination identifier of a group of compressed vectors and its corresponding compressed coefficients, or each combination identifier corresponds to a combination identifier of a position of a group of time domain coefficients.

The position of the set of time domain coefficients may be a position of a set of time domain coefficients used when performing time domain compression, that is, in the time domain compression, only the time domain coefficients of the position of the set of time domain coefficients may be fed back to achieve the time domain compression.

Additionally, for frequency domain compression, the at least one compressed vector may be selected from a set of candidate compressed vectors. The candidate compressed vectors are M-dimensional orthogonal vectors, such as M DFT vectors or M right singular vectors; for time domain compression, the set of time domain coefficients may be selected from time domain coefficients obtained by IDFT transformation of a matrix to be compressed, and the selected at least one compressed vector is an IDFT vector corresponding to the selected time domain coefficient. Specifically, for frequency domain compression, the K strongest frequency domain compression vectors (e.g., DFT vectors or singular vectors) are correspondingly selected; for time domain compression, the K time domain coefficients are selected, that is, K time domain compression vectors (for example, IDFT vectors).

In this embodiment, a selected compressed vector or a combined identifier of the time domain coefficient position needs to be fed back, for example: the total number of the M frequency domain compressed vectors/time domain compressed vectors is selected, and the combination of the K frequency domain compressed vectors/time domain compressed vectors is selected to be common

Seed, wherein! Indicating a factorial operation.In this embodiment, one of all possible combinations is fed back, for example: if M is 13 and K is 4, then the total is

A seed combination then needs

And (6) bit feedback.

In addition, a plurality of combination identifiers may be predefined, and the number corresponding to the selected at least one compressed vector or the group of time domain coefficients uses one of the predefined plurality of combinations. When the predefined number of combined identifications is much smaller than all possible numbers of combined identifications, the feedback overhead can be further reduced. For time domain compression, a plurality of predefined combination identifiers can be determined by using the sparse characteristic and the time delay characteristic of time domain channel impulse response, Y types of time delay positions with high probability are preset to correspond to Y types of combination identifiers, one combination identifier suitable for the current time domain channel characteristic is selected from the Y types of combination identifiers, and thus the position of a time domain coefficient and the corresponding at least one compression vector are obtained according to the feedback combination identifier; for frequency domain compression, a plurality of predefined combination identifiers can be determined by using channel characteristics, Y compression vector combinations with high probability are preset to correspond to the Y combination identifiers, and one combination identifier suitable for the current channel characteristics is selected from the Y combination identifiers, so that the at least one compression vector is obtained according to the feedback combination identifier. When the preset number Y of the combined identifications is far less than the number of all possible combined identifications

While, only need to

And bit feedback can further reduce feedback overhead. Specifically, for example, if M is 13, the predefined 4 combinations are identified as (1, 2, 3, 4), (1, 3, 4, 5), (1, 4, 7, 10) and (2, 4, 5, 11), and only 2-bit feedback is required. Wherein the combined mark(1, 2, 3, 4) represents selecting compressed vectors 1, 2, 3, 4 from 13 candidate compressed vectors; or selecting time domain coefficients 1, 2, 3, 4 and corresponding IDFT vectors from 13 time domain coefficients; and so on.

In addition, in this embodiment, in addition to feeding back the combined identifier, the start number of the at least one compressed vector or the group of time domain coefficients may be fed back, and the number of the fed-back combined identifiers may be increased while reducing the feedback overhead, because, as long as the product of the predefined combined identifier number and the number of possible start numbered positions is less than the predetermined combined identifier number

The number of. Specifically, for example, if M ═ 13, the predefined 4 combination identifiers are (1, 2, 3, 4), (1, 3, 4, 5), (1, 4, 7, 10) and (2, 4, 5, 11), and the start numbers are defined as 0 and 1, then the following 8 combination identifiers can be obtained: (1, 2, 3, 4), (1, 3, 4, 5), (1, 4, 7, 10), (2, 4, 5, 11), (2, 3, 4, 5), (2, 4, 5, 6), (2, 5, 8, 11) and (3, 5, 6, 12).

As an optional implementation manner, the quantization precision of a first compressed coefficient in the compressed coefficient matrix is higher than the quantization precision of a second compressed coefficient, where the magnitude of the combined coefficient of the spatial beam vector corresponding to the first compressed coefficient is larger than the magnitude of the combined coefficient of the spatial beam vector corresponding to the second compressed coefficient.

The first compression coefficient may refer to one or more compression coefficients, and similarly, the second compression coefficient may refer to one or more compression coefficients. For example: the first compression coefficient may be a compression coefficient corresponding to at least one spatial beam vector having a large magnitude of the combination coefficient, and the second compression coefficient may be a compression coefficient corresponding to at least one spatial beam vector having a small magnitude of the combination coefficient. The higher quantization accuracy may be a larger number of quantization bits, and the lower quantization accuracy may be a smaller number of quantization bits.

Specifically, for example, the compression coefficient matrix is:

corresponds to a spatial beam vector. Assuming that the wideband combination coefficient amplitude corresponding to the spatial beam vectors 1 to Z (Z < 2L) is stronger than the wideband combination coefficient amplitude corresponding to the spatial beam vectors Z +1 to 2L, then

The amplitude and/or phase angle of the compressed coefficients (complex numbers) of the 1 to Z lines are quantized with 3 bits, and the amplitude and/or phase angle of the compressed coefficients (complex numbers) of the Z +1 to 2L lines are quantized with 2 bits.

In this embodiment, since the quantization accuracy of the first compressed coefficient in the compressed coefficient matrix is higher than that of the second compressed coefficient, it is possible to reduce the feedback overhead while ensuring the quantization accuracy of the compressed coefficient corresponding to at least one spatial beam vector in which the magnitude of the combined coefficient is large.

As an optional implementation manner, in the embodiment of the present invention, the number of the compressed vectors corresponding to different spatial beam vectors is the same or different.

The same or different numbers of the compressed vectors corresponding to the different spatial beam vectors may be understood as the same or different numbers of the compressed vectors corresponding to the different spatial beam vectors, regardless of whether the compressed vectors corresponding to the plurality of spatial beam vectors are the same or not. For example: the number of compressed vectors corresponding to a certain spatial beam vector may be determined in the order of the spatial beam vectors, for example: the combination coefficients corresponding to the spatial beam vectors adopt a smaller number of compressed vectors in a frequency domain, and the combination coefficients corresponding to the spatial beam vectors adopt a larger number of compressed vectors in a frequency domain, wherein the combined coefficients change slowly in the frequency domain. The terminal may feed back the number of compressed vectors corresponding to each spatial beam vector and the selected compressed vector combination identifier to the network device.

For a specific example, assume that the number of compressed vectors K corresponding to the spatial beam vector i_iWith a compression coefficient vector dimension of K_i. For the spatial beam vector i, the combination coefficients of the layer r in the frequency domain are a combination coefficient matrix (W)_2，r)_2L×XOr (W)_2，r)_2L×MThe ith line of (1), the corresponding compression coefficient vector is

Compressing the vector matrix into

When reconstructing the combined coefficient matrix, the combined coefficient vector corresponding to the spatial beam vector i is:

then, the combination coefficient vectors corresponding to all the space beam vectors form a complete combination coefficient matrix

Wherein, for different spatial beam vectors i,

the compressed vectors may be selected from a matrix of compressed vectors of the same group, or may be independently selected from candidate compressed vectors.

In this embodiment, since the number of the compressed vectors corresponding to different spatial beam vectors is the same or different, the compressed vectors can be determined according to actual conditions, thereby improving the accuracy of feedback.

Referring to fig. 3, fig. 3 is a flowchart of another codebook information feedback method according to an embodiment of the present invention, applied to a network device, and as shown in fig. 3, the method includes the following steps:

step 301, receiving codebook information of a CSI codebook, where the CSI codebook includes a spatial beam vector matrix, a compressed coefficient matrix, and at least one compressed vector, and an element in the compressed coefficient matrix is a quantized value of a compressed coefficient;

The receiving may be codebook information of a CSI codebook fed back by the receiving terminal, but is not limited thereto, and for example: may be codebook information of CSI codebooks that are fed back by other communication entities.

Optionally, the network device may determine the at least one compressed vector according to the vector information, and further calculate a precoding matrix according to the spatial beam vector information included in the spatial beam vector matrix, the element of the compressed coefficient matrix, and the at least one compressed vector.

In addition, if the compression coefficient is a coefficient obtained by compressing the sampling combination coefficient, the network device may calculate a precoding matrix on the granularity of the partial frequency domain according to spatial beam vector information included in a spatial beam vector matrix, an element of the compression coefficient matrix, and the at least one compression vector, and further, may further obtain a precoding matrix on the granularity of another frequency domain by interpolation calculation. Alternatively, the network device may calculate the combination of the granularity of the partial frequency domain according to the elements of the compressed coefficient matrix and the at least one compressed vectorCoefficient matrix W_2,rFurther obtaining a combination coefficient matrix W on other frequency domain granularities through interpolation calculation_2,rSo as to obtain a combination coefficient matrix W on all frequency domain granularities according to the space beam vector information contained in the space beam vector matrix and the calculation_2,rAnd calculating precoding matrixes on all frequency domain granularities.

Optionally, the compressed coefficients include a first partial coefficient and a second partial coefficient, and the compressed coefficients include:

Optionally, the sampling combination coefficient is: and sampling the combined coefficients of the partial frequency domain granularities according to the sampling parameters in the M combined coefficients of the basic frequency domain granularities, wherein M is an integer greater than or equal to 1.

sampling interval and start offset.

Optionally, the vector information includes:

Optionally, the quantization precision of a first compressed coefficient in the compressed coefficient matrix is higher than that of a second compressed coefficient, where the magnitude of the combined coefficient of the spatial beam vector corresponding to the first compressed coefficient is greater than that of the spatial beam vector corresponding to the second compressed coefficient.

Optionally, the number of compressed vectors corresponding to different spatial beam vectors is the same or different.

It should be noted that, this embodiment is used as an implementation of a network device corresponding to the embodiment shown in fig. 2, and specific implementation of this embodiment may refer to the relevant description of the embodiment shown in fig. 2, so that, in order to avoid repeated descriptions, this embodiment is not described again, and the same beneficial effects may also be achieved.

Referring to fig. 4, fig. 4 is a structural diagram of a terminal according to an embodiment of the present invention, and as shown in fig. 4, the terminal 400 includes:

a feedback module 401, configured to feed back codebook information of a CSI codebook, where the CSI codebook includes a spatial beam vector matrix, a compressed coefficient matrix, and at least one compressed vector, and an element in the compressed coefficient matrix is a quantized value of a compressed coefficient;

sampling interval and start offset.

Optionally, the vector information includes:

The terminal provided by the embodiment of the present invention can implement each process implemented by the terminal in the method embodiment of fig. 2, and for avoiding repetition, details are not repeated here, and CSI codebook feedback overhead can be reduced.

Referring to fig. 5, fig. 5 is a structural diagram of a network device according to an embodiment of the present invention, and as shown in fig. 5, the network device 500 includes:

a receiving module 501, configured to receive codebook information of a CSI codebook, where the CSI codebook includes a spatial beam vector matrix, a compressed coefficient matrix, and at least one compressed vector, and an element in the compressed coefficient matrix is a quantized value of a compressed coefficient;

sampling interval and start offset.

Optionally, the vector information includes:

The terminal provided by the embodiment of the present invention can implement each process implemented by the network device in the method embodiment of fig. 3, and for avoiding repetition, details are not repeated here, and the CSI codebook feedback overhead can be reduced.

Figure 6 is a schematic diagram of the hardware architecture of a terminal implementing various embodiments of the present invention,

the terminal 600 includes but is not limited to: a radio frequency unit 601, a network module 602, an audio output unit 603, an input unit 604, a sensor 605, a display unit 606, a user input unit 607, an interface unit 608, a memory 609, a processor 610, and a power supply 611. Those skilled in the art will appreciate that the terminal configuration shown in fig. 6 is not intended to be limiting, and that the terminal may include more or fewer components than shown, or some components may be combined, or a different arrangement of components. In the embodiment of the present invention, the terminal includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted terminal, a wearable device, a pedometer, and the like.

A radio frequency unit 601, configured to feed back codebook information of a CSI codebook, where the CSI codebook includes a spatial beam vector matrix, a compressed coefficient matrix, and at least one compressed vector, and an element in the compressed coefficient matrix is a quantized value of a compressed coefficient;

sampling interval and start offset.

Optionally, the vector information includes:

The terminal can reduce CSI codebook feedback overhead.

It should be understood that, in the embodiment of the present invention, the radio frequency unit 601 may be used for receiving and sending signals during a message sending and receiving process or a call process, and specifically, receives downlink data from a base station and then processes the received downlink data to the processor 610; in addition, the uplink data is transmitted to the base station. In general, radio frequency unit 601 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. Further, the radio frequency unit 601 may also communicate with a network and other devices through a wireless communication system.

The terminal provides wireless broadband internet access to the user through the network module 602, such as helping the user send and receive e-mails, browse web pages, and access streaming media.

The audio output unit 603 may convert audio data received by the radio frequency unit 601 or the network module 602 or stored in the memory 609 into an audio signal and output as sound. Also, the audio output unit 603 can also provide audio output related to a specific function performed by the terminal 600 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 603 includes a speaker, a buzzer, a receiver, and the like.

The input unit 604 is used to receive audio or video signals. The input Unit 604 may include a Graphics Processing Unit (GPU) 6041 and a microphone 6042, and the Graphics processor 6041 processes image data of a still picture or video obtained by an image capturing apparatus (such as a camera) in a video capture mode or an image capture mode. The processed image frames may be displayed on the display unit 606. The image frames processed by the graphic processor 6041 may be stored in the memory 609 (or other storage medium) or transmitted via the radio frequency unit 601 or the network module 602. The microphone 6042 can receive sound, and can process such sound into audio data. The processed audio data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 601 in case of the phone call mode.

The terminal 600 also includes at least one sensor 605, such as a light sensor, motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that can adjust the brightness of the display panel 6061 according to the brightness of ambient light, and a proximity sensor that can turn off the display panel 6061 and/or the backlight when the terminal 600 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally three axes), detect the magnitude and direction of gravity when stationary, and can be used to identify the terminal posture (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration identification related functions (such as pedometer, tapping), and the like; the sensors 605 may also include fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc., which are not described in detail herein.

The display unit 606 is used to display information input by the user or information provided to the user. The Display unit 606 may include a Display panel 6061, and the Display panel 6061 may be configured by a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

The user input unit 607 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the terminal. Specifically, the user input unit 607 includes a touch panel 6071 and other input devices 6072. Touch panel 6071, also referred to as a touch screen, may collect touch operations by a user on or near it (e.g., operations by a user on or near touch panel 6071 using a finger, stylus, or any suitable object or accessory). The touch panel 6071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 610, receives a command from the processor 610, and executes the command. In addition, the touch panel 6071 can be implemented by various types such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. The user input unit 607 may include other input devices 6072 in addition to the touch panel 6071. Specifically, the other input devices 6072 may include, but are not limited to, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a track ball, a mouse, and a joystick, which are not described herein again.

Further, the touch panel 6071 can be overlaid on the display panel 6061, and when the touch panel 6071 detects a touch operation on or near the touch panel 6071, the touch operation is transmitted to the processor 610 to determine the type of the touch event, and then the processor 610 provides a corresponding visual output on the display panel 6061 according to the type of the touch event. Although in fig. 6, the touch panel 6071 and the display panel 6061 are two independent components to realize the input and output functions of the terminal, in some embodiments, the touch panel 6071 and the display panel 6061 may be integrated to realize the input and output functions of the terminal, and this is not limited here.

The interface unit 608 is an interface for connecting an external device to the terminal 600. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 608 may be used to receive input (e.g., data information, power, etc.) from an external device and transmit the received input to one or more elements within the terminal 600 or may be used to transmit data between the terminal 600 and an external device.

The memory 609 may be used to store software programs as well as various data. The memory 609 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 609 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The processor 610 is a control center of the terminal, connects various parts of the entire terminal using various interfaces and lines, and performs various functions of the terminal and processes data by operating or executing software programs and/or modules stored in the memory 609 and calling data stored in the memory 609, thereby performing overall monitoring of the terminal. Processor 610 may include one or more processing units; preferably, the processor 610 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 610.

The terminal 600 may further include a power supply 611 (e.g., a battery) for supplying power to the various components, and preferably, the power supply 611 is logically connected to the processor 610 via a power management system, so that functions of managing charging, discharging, and power consumption are performed via the power management system.

In addition, the terminal 600 includes some functional modules that are not shown, and are not described in detail herein.

Preferably, an embodiment of the present invention further provides a terminal, including a processor 610, a memory 609, and a computer program stored in the memory 609 and capable of running on the processor 610, where the computer program is executed by the processor 610 to implement each process of the codebook information feedback method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not described here again.

Referring to fig. 7, fig. 7 is a block diagram of another network device according to an embodiment of the present invention, and as shown in fig. 7, the network device 700 includes: a processor 701, a transceiver 702, a memory 703 and a bus interface, wherein:

a transceiver 702, configured to receive codebook information of a CSI codebook, where the CSI codebook includes a spatial beam vector matrix, a compressed coefficient matrix, and at least one compressed vector, and an element in the compressed coefficient matrix is a quantized value of a compressed coefficient;

sampling interval and start offset.

Optionally, the vector information includes:

The network equipment can reduce CSI codebook feedback overhead.

The transceiver 702 is configured to receive and transmit data under the control of the processor 701, and the transceiver 702 includes at least two antenna ports.

In fig. 7, the bus architecture may include any number of interconnected buses and bridges, with one or more processors, represented by processor 701, and various circuits, represented by memory 703, being linked together. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface. The transceiver 702 may be a number of elements including a transmitter and a receiver that provide a means for communicating with various other apparatus over a transmission medium. The user interface 704 may also be an interface capable of interfacing with a desired device for different user devices, including but not limited to a keypad, display, speaker, microphone, joystick, etc.

The processor 701 is responsible for managing the bus architecture and general processing, and the memory 703 may store data used by the processor 701 in performing operations.

Preferably, an embodiment of the present invention further provides a network device, including a processor 701, a memory 703, and a computer program stored in the memory 703 and capable of running on the processor 701, where the computer program, when executed by the processor 701, implements each process of the above codebook information feedback method embodiment, and can achieve the same technical effect, and is not described herein again to avoid repetition.

An embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the embodiment of the method for feeding back codebook information at a terminal side provided in the embodiment of the present invention, or when the computer program is executed by a processor, the computer program implements each process of the embodiment of the method for feeding back codebook information at a network device side provided in the embodiment of the present invention, and can achieve the same technical effect, and in order to avoid repetition, the computer program is not described herein again. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.

While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.

Claims

1. A codebook information feedback method is applied to a terminal and is characterized by comprising the following steps:

feeding back codebook information of a Channel State Information (CSI) codebook, wherein the CSI codebook comprises a space beam vector matrix, a compression coefficient matrix and at least one compression vector, and elements in the compression coefficient matrix are quantized values of a compression coefficient;

the compression coefficient is a coefficient obtained by compressing the combination coefficient; or the compression coefficient is a coefficient obtained by compressing a sampling combination coefficient, and the sampling combination coefficient is a combination coefficient of partial frequency domain granularity; or, the compressed coefficient comprises a coefficient obtained by compressing the combined coefficient and then sampling the compressed coefficient; the combination coefficient is a combination coefficient in a combination coefficient matrix after spatial domain compression;

2. The method of claim 1, wherein the compressed coefficients comprise first and second partial coefficients, the compressed coefficients comprising:

3. The method of claim 1, wherein the sample combining coefficients are: and sampling the combined coefficients of the partial frequency domain granularities according to the sampling parameters in the M combined coefficients of the basic frequency domain granularities, wherein M is an integer greater than or equal to 1.

4. The method of claim 3, wherein the sampling parameter is specified by a network configuration or protocol, including at least one of:

sampling interval and start offset.

5. The method of claim 1, wherein the vector information comprises:

6. The method of claim 1, wherein a quantization precision of a first compressed coefficient in the compressed coefficient matrix is higher than a quantization precision of a second compressed coefficient, wherein a magnitude of a combined coefficient of a spatial beam vector corresponding to the first compressed coefficient is larger than a magnitude of a combined coefficient of a spatial beam vector corresponding to the second compressed coefficient.

7. The method of claim 1, wherein the number of compressed vectors for different spatial beam vectors is the same or different.

8. A codebook information feedback method is applied to network equipment and is characterized by comprising the following steps:

9. The method of claim 8, wherein the sample combining coefficients are: and sampling the combined coefficients of the partial frequency domain granularities according to the sampling parameters in the M combined coefficients of the basic frequency domain granularities, wherein M is an integer greater than or equal to 1.

10. The method of claim 9, wherein the sampling parameter is specified by a network configuration or protocol, including at least one of:

sampling interval and start offset.

11. The method of claim 8, wherein the vector information comprises:

12. A terminal, comprising:

13. A network device, comprising:

14. A terminal, comprising: memory, processor and program stored on the memory and executable on the processor, which when executed by the processor implements the steps in the codebook information feedback method as claimed in any of claims 1 to 7.

15. A network device, comprising: memory, processor and program stored on the memory and executable on the processor, which when executed by the processor implements the steps in the codebook information feedback method as claimed in any of claims 8 to 11.

16. A computer-readable storage medium, characterized in that a computer program is stored thereon, which, when being executed by a processor, implements the steps in the codebook information feedback method as defined in any one of claims 1 to 7, or which, when being executed by a processor, implements the steps in the codebook information feedback method as defined in any one of claims 8 to 11.