WO2016169213A1 - Acquisition method and device for acquiring channel information - Google Patents

Abstract

Disclosed are an acquisition method and device for acquiring channel information. The method comprises: a terminal acquiring a measured channel Hp between M ports and the terminal; the terminal acquiring weight amplitude information D; according to the measured channel Hp, the terminal determining that a rank RI of the channel is equal to r, and choosing a code matrix w from a codebook appointed by a base station and the terminal, the rank of which is r, and the matrix w and the weight amplitude information D being used to jointly characterize quantitative information about the channel Hp; and the terminal feeding back the indication information and r information of the code matrix to the base station.

Description

Method and device for acquiring channel information Technical field

The embodiments of the present invention relate to, but are not limited to, the field of communications, and in particular, to a method and an apparatus for acquiring channel information.

Background technique

First, the basic principles of multi-antenna communication precoding and feedback technology are introduced:

In a wireless communication system, a transmitting end and a receiving end use a plurality of antennas to obtain a higher rate in a spatial multiplexing manner. Compared with the general spatial multiplexing method, an enhanced technology is that the receiving end feeds back the channel information of the transmitting end, and the transmitting end uses the transmitting precoding technology according to the obtained channel information, which can greatly improve the transmission performance. For single-user multiple-input multiple-output (SU-MIMO, where MIMO means Multi-input Multi-output, multiple-input multiple-output), channel feature vector information is used for precoding directly; for multi-user MIMO (MU-MIMO) , need more accurate channel information. In the 3GPP Long Term Evolution (LTE) program, the feedback of channel information is mainly a feedback method using a simple single codebook, and the performance of MIMO transmit precoding technology is more dependent on the codebook feedback. Accuracy.

Here, the basic principle of the channel information based on the channel information quantization feedback is briefly described as follows: Assuming that the limited feedback channel capacity is Bbps/Hz, the number of available code words is N=2 ^B. The eigenvector space of the channel matrix is quantized to form the codebook space

The transmitting end and the receiving end jointly save or generate the codebook in real time.

(The transmitter and receiver are the same). For each channel implementation H, the receiving end is from the codebook space according to certain criteria.

Select a codeword that best matches the channel implementation H

And the code word

The serial number i (codeword serial number) is fed back to the transmitting end. Here, the codeword sequence number is referred to as a Precoding Matrix Indicator (PMI) in the codebook. The transmitting end finds the corresponding precoding codeword according to the serial number i

Thereby obtaining corresponding channel information,

The feature vector information of the channel is indicated.

General code space

It may also be divided into multiple codebooks corresponding to Ranks, and each Rank corresponds to a plurality of codewords to quantize the precoding matrix formed by the channel feature vectors under the Rank. Since the number of Rank and non-zero feature vectors of the channel are equal, in general, when the Rank is N, the codeword will have N columns. Therefore, the codebook space

It can be divided into multiple subcodebooks according to the difference of Rank, as shown in Table 1.

Table 1. The codebook is divided into multiple subcodes according to Rank.

The codewords to be stored when Rank>1 are in the form of a matrix, wherein the codebook in the LTE protocol is the feedback method of the codebook quantization used. In fact, the precoding codebook and the channel information quantization codebook in LTE are used. The meaning is the same. In the following, for the sake of uniformity, the vector can also be viewed as a matrix of dimension 1.

The following is a description of the feedback technique in Full dimension (FD, full dimension)-MIMO:

With the development of communication technology, there is a higher demand for spectral efficiency in advanced long-term evolution (LTE-Advanced). The enhancement of MIMO technology is the main technical means to meet the above requirements. The main research directions of MIMO enhancement technology are: 3D beam Beamforming (BF) and MIMO of larger antennas can be defined as FD-MIMO technology.

Since FD-MIMO not only supports traditional horizontal beamforming, but also supports vertical beamforming, the antenna topology is changed from a traditional linear one-dimensional topology to a two-dimensional planar array. At the same time, the number of antennas is also greatly increased, so Feedback technology puts forward higher requirements

First, the change of the antenna topology will make the codebook need to be suitable for multiple antenna topologies, and the design will become more complicated. Secondly, the number of antennas will increase greatly, and the precoding dimension will increase rapidly. In order to meet the quantization accuracy requirements of channel state information, The feedback overhead is very large, and the complexity of terminal side codeword selection is high.

An effective method in the related art is to use a dimensionality reduction technique to reduce the feedback dimension, thereby reducing overhead and complexity. The basic principle of this method is as follows:

Assuming that the number of transmitting antennas is Nt, the all-dimensional channel is a matrix of Nr×Nt, and Nr is the number of receiving antennas. When Nt is relatively large, the channel matrix dimension is relatively large.

The best precoding W matching the full-dimensional channel is written in the form of W1×W2, where W1 is a matrix of Nt×M dimensions, and W2 is a matrix of M×r, where r is the number of transmission layers, in general, transmission The number of layers is less than or equal to the number of receiving antennas Nr. M is an integer less than Nt.

Here, the W1 information is understood to be a channel that does not change for a long time and is applicable to the portion of the channel information of the entire bandwidth. W2 information is understood to be a channel that changes rapidly and may have different channel information between any subbands.

Based on this, using W1, channel H can be reduced in dimension. There are two methods. One method is:

Method A: The base station transmits a full-dimensional CSI-RS (Channel State Information Reference Signal) pilot, and the full-dimensional CSI-RS pilot means that the terminal can obtain a full-dimensional channel matrix H based on its measurement. After the terminal obtains the full-dimensional H, W1 and W2 can be separately quantized according to H, which only requires long-term broadband feedback, and the W2 requires feedback of short-period sub-bands.

Among them, the acquisition of the W1 matrix has many seed methods, one of which is:

Here, W ₁ is an Nt×M matrix, and each column of W ₁ can be understood as a basic vector reflecting multipath direction and polarization information, which is obtained by Kronecker product from three DFT vectors. The obtaining method may be: decomposing the channel H, decomposing into a plurality of the multipath weighted combinations, and selecting an effective multipath according to the weight magnitude information. Determining M column vectors in W1 according to the selected plurality of multipaths

Another submethod is

Here W ₁ is an Nt×M matrix

It is the first M feature vectors of the channel statistics autocorrelation matrix R. The channel R is obtained by statistically averaging the autocorrelation matrices of the channels on multiple subcarriers and multiple sub-frames, and R reflects the long-term statistical information of some channels.

The above W1 can be calculated by the terminal and fed back to the base station through the uplink channel as feedback information of the long period, or can be configured by the base station to the terminal.

The terminal obtains a dimensionality reduction matrix H×W1 according to the measured H and the determined W1. The dimension of the matrix is Nr×M dimension, and W2 quantizes the channel information of the reduced-dimensional channel matrix. Since M is smaller than Nt, even far Less than Nt, such as Nt=64, M=8 or 4, so the feedback overhead of W2 will not increase significantly, and the complexity will not increase significantly. In theory, the feedback of W2 can be performed using a 4-antenna or 8-antenna codebook.

Method B: The basic principle is similar to Method A, but the base station does not transmit the full-scale CSI-RS pilot, but uses the FDD uplink and downlink channel statistics autocorrelation matrix R reciprocity, or some other measurement means to obtain and determine the W1 matrix, Then, W1 is used for virtualization of the antenna to the CSI-RS port, such that the Nt root antenna is virtualized into M CSI-RS ports through the W1 matrix. The terminal performs measurement and CSI feedback based on the M CSI-RS ports. This method has similar performance to method A, except that the pilot overhead of this method is smaller, and the W1 matrix mainly depends on the base station.

The dimensionality reduction feedback technique in the related art has a good performance in theory, and since the antenna topology only affects W1, the feedback design of W2 can also adopt a relatively general design, but the disadvantage is that The 4 antennas and 8 antennas of the protocol are constant modulus codebooks. Each weight in the precoding matrix is the same modulus value, which results in poor performance and cannot fully exploit the advantages of the dimensionality reduction feedback technique.

Summary of the invention

The following is an overview of the topics detailed in this document. This Summary is not intended to limit the scope of the claims.

The embodiment of the invention provides a channel information acquisition method and device, which can solve the technical defect that the performance of the constant modulus codebook is poor when the dimensionality reduction feedback is used in the related art.

The embodiment of the invention provides a method for acquiring channel information, including:

The terminal obtains the measured channel Hp between the M ports of the base station and the terminal;

The terminal determines the rank RI=r of the channel according to the measured channel Hp, and selects a codeword matrix w in the codebook whose rank is r agreed by the base station and the terminal;

The terminal acquires weight magnitude information D, and the codeword matrix w is used in combination with the weight magnitude information D to jointly represent the quantization information of the channel Hp;

The terminal feeds back indication information and r information of the codeword matrix to the base station.

Optionally, wherein the weight magnitude information D is amplitude adjustment information of an element in the codeword matrix w.

Optionally, wherein the codeword matrix w is a constant modulus codeword.

Optionally, wherein the weight magnitude information D information is one or more diagonal matrices.

Optionally, wherein the diagonal matrix diagonal elements have at least 2 different amplitudes.

Optionally, wherein the diagonal matrix diagonal element has at least one element that is 0.

Optionally, the value of the rank RI is divided into X groups, each group includes a value of a different rank RI, and the terminal obtains the weight magnitude information D includes: determining, by the terminal, the value r according to the rank RI In the rank RI group, the terminal obtains the weight magnitude information D corresponding to the rank RI group according to the RI group; the quantization information W=D×w of the channel Hp, where × represents a matrix product operation.

Optionally, wherein, when r is greater than 1, the terminal obtains the same number of weight magnitude information D as the number of r, including D1, D2, ..., Dr, the D1, D2, ..., Dr information and r of w respectively The column combines quantized information for collectively characterizing the channel Hp; the quantized information of the channel Hp is W = D1 x w(:, 1) ... Dr x w (:, r), where x denotes a matrix product operation.

Optionally, wherein the weight magnitude information D is configured by the base station by using a downlink control channel.

Optionally, wherein the weight magnitude information D is determined by the terminal according to the channel measurement pilot, and the weight amplitude information D is fed back by the terminal to the base station.

Optionally, wherein the weight magnitude information is a singular value of the channel matrix Hp or a channel autocorrelation matrix

Characteristic value.

Optionally, the method further includes: when the base station sends the channel measurement pilot, performing precoding using the matrix P, and mapping the Nt physical antenna units to the M antenna ports, where the Nt and M are integers, M Less than or equal to Nt, wherein the matrix P is fed back by the terminal or obtained according to the uplink channel measurement result.

Optionally, the method further includes that the base station obtains channel quantization information W of the channel Hf between the Nt physical antenna units and the terminal by using the matrix P, the weight magnitude information D, and the codeword matrix w information.

Optionally, wherein the channel quantization information W=P×D×w, where × represents a matrix product operation.

Optionally, the base station obtains channel quantization information W of the channel Hf between the Nt physical antenna units and the terminal by using the matrix P, the weight magnitude information D, and the codeword matrix w information, including: the base station uses the matrix P, the weight magnitude information D1, D2 ... Dr and the codeword matrix w information obtain channel quantization information W of the channel Hf between the Nt physical antenna elements and the terminal.

Optionally, wherein the channel quantization information W=P×[D1×w(:,1)...Dr×w(:,r)], where× represents a matrix product operation.

The embodiment of the invention further provides a method for acquiring channel information, including:

The terminal obtains channel measurement information Hf;

Determining, by the terminal, the rank RI=r of the channel according to the measured channel measurement information Hf;

Determining, by the terminal, the first matrix P and the weight magnitude information D, wherein the first matrix P and the weight magnitude information D are determined by the terminal according to the configuration of the base station or the channel measurement information Hf measured by the terminal;

The terminal further selects a codeword matrix from the r-codebook agreed by the base station and the terminal according to the measured channel measurement information Hf, to obtain a second matrix w, wherein the weight magnitude information D and the second matrix w together to characterize the quantization matrix or precoding matrix W of the channel Hf;

The terminal feeds back at least the indication information of the second matrix w.

Optionally, wherein the weight magnitude information D is amplitude adjustment information of an element in the second matrix w.

Optionally, wherein the second matrix w is a constant modulus codeword.

Optionally, wherein the weight magnitude information D is one or more diagonal matrices.

Optionally, wherein the diagonal elements of the diagonal matrix have at least two different amplitudes.

Optionally, wherein the diagonal element of the diagonal matrix has at least one element that is 0.

Optionally, the determining, by the terminal, the weight magnitude information D includes: the base station and the terminal agree to divide the value of the RI into X groups, each group includes different RI values, and the terminal determines according to the RI value r In the RI group, the terminal obtains the weight magnitude information D corresponding to the RI group according to the RI group.

Optionally, wherein the quantization matrix or precoding matrix W=P×D×w of the channel Hf, where× represents a matrix product operation.

Optionally, wherein, when r is greater than 1, the terminal obtains the same number of D information as the number of r, D1, D2, ..., Dr, and the D1, D2, ..., Dr information is used in combination with the r columns of w, respectively. A quantization matrix or precoding matrix W that collectively characterizes the channel Hf.

Optionally, wherein the quantization matrix or precoding matrix of the channel Hf is W×P×[D1×w(:,1)...Dr×w(:,r)].

Optionally, wherein the weight magnitude information D is configured by the base station by using a downlink control channel.

Optionally, wherein the weight magnitude information D is determined by the terminal according to the channel measurement pilot, and the terminal feeds back the weight magnitude information D to the base station.

Optionally, the first matrix P is configured by the base station by using a downlink control channel, and the base station and the terminal agree to divide the value of the RI into Y groups, and the base station allocates a corresponding first matrix P for different RI groups.

Optionally, the first matrix P is fed back by the terminal, and the base station and the terminal agree to divide the value of the RI into Y groups, and the base station and the terminal agree on the first matrix P quantization feedback used by the respective RI group. Codebook 1, codebook 2, ... codebook Y, the codebook 1 ... codebook Y are not identical.

Optionally, the terminal, at least feeding back the indication information of the second matrix w, includes:

When the first matrix P and the weight magnitude information D are determined by the terminal according to the configuration of the base station, the terminal feeds back the indication information of the second matrix w and the r information to the base station;

When the first matrix P and the weight magnitude information D are determined by the terminal according to the measured channel information Hf, the terminal feeds back an indication of the first matrix P, the weight magnitude information D, and the second matrix w to the base station. information;

When the first matrix P is determined by the terminal according to the configuration of the base station, and the weight magnitude information D is determined by the terminal according to the measured channel information Hf, the terminal feeds back the weight magnitude information D and the second matrix w to the base station. Indication information;

When the first matrix P is determined by the terminal according to the measured channel information Hf, and the weight magnitude information D is determined by the terminal according to the configuration of the base station, the terminal feeds back the weight magnitude information P and the base station to the base station. The indication information of the second matrix w.

The embodiment of the present invention further provides a device for acquiring channel information, where the device is disposed at a terminal, and the device includes:

a channel acquisition module, configured to obtain a measured channel Hp between the M ports of the base station and the terminal;

The amplitude acquisition module is set to obtain the weight magnitude information D;

a codeword matrix selection module is configured to determine a rank RI=r of the channel according to the measured channel Hp, and select a codeword matrix w in the codebook of the rank r agreed by the base station and the terminal, the code a word matrix w in combination with the weight magnitude information D for jointly characterizing the quantized information of the channel Hp;

The sending module is configured to feed back the indication information and the r information of the codeword matrix to the base station.

Optionally, wherein the weight magnitude information D is amplitude adjustment information of an element in the codeword matrix w.

Optionally, wherein the codeword matrix w is a constant modulus codeword.

Optionally, wherein the weight magnitude information D information is one or more diagonal matrices.

Optionally, wherein the diagonal matrix diagonal elements have at least 2 different amplitudes.

Optionally, wherein the diagonal matrix diagonal element has at least one element that is 0.

Optionally, wherein the value of the rank RI is divided into X groups, each group includes a value of a different rank RI; wherein the amplitude obtaining module obtains the weight magnitude information D, the amplitude acquiring module Determining the rank RI group according to the value r of the rank RI, obtaining the weight magnitude information D corresponding to the rank RI group according to the rank RI group; the quantization information of the channel Hp is W=D×w, where × represents the matrix product Operation.

Optionally, wherein the amplitude obtaining module is configured to obtain the same number of weight magnitude information D as the number of r when r is greater than 1, including D1, D2, ..., Dr, D1, D2, ... The Dr information is combined with the r columns of w to respectively characterize the quantization information of the channel Hp; the quantization information of the channel Hp is W = D1 × w(:, 1) ... Dr × w (:, r), Where × represents a matrix product operation.

Optionally, wherein the weight magnitude information D is configured by the base station by using a downlink control channel.

Optionally, wherein the weight magnitude information D is determined by the terminal according to a channel measurement pilot, and the sending module is further configured to feed back the weight magnitude information D to the base station.

Optionally, wherein the D information is a singular value of the channel matrix Hp or a channel autocorrelation matrix

Characteristic value.

An embodiment of the present invention further provides a base station, including

a first module, configured to perform precoding using a matrix P when transmitting channel measurement pilots, wherein the matrix P is fed back by a terminal or obtained according to an uplink channel measurement result;

The second module is configured to map the channel measurement pilot precoded using the matrix P by Nt physical antenna units to M antenna ports, where Nt and M are integers, and M is less than or equal to Nt.

Optionally, wherein the matrix P, the weight magnitude information D, and the codeword matrix w information are used to obtain channel quantization information W of the channel Hf between the Nt physical antenna elements and the terminal.

Optionally, wherein the channel quantization information W=P×D×w, where × represents a matrix product operation.

Optionally, wherein the matrix P, the weight magnitude information D1, D2, ..., Dr, and the codeword matrix w information are used to obtain channel quantization information W of the channel Hf between the Nt physical antenna elements and the terminal.

Optionally, wherein the channel quantization information W=P×[D1×w(:,1)...Dr×w(:,r)], where× represents a matrix product operation.

The embodiment of the invention further provides a device for acquiring channel information, which is disposed on a terminal, and the device includes:

a measurement information acquisition module, configured to obtain channel measurement information Hf;

a rank obtaining module, configured to determine a rank RI=r of the channel according to the measured channel measurement information Hf;

a determining module, configured to determine the first matrix P and the weight magnitude information D, wherein the first matrix P, the weight magnitude information D is determined by the terminal according to the configuration of the base station or the channel information Hf measured by the terminal;

The codeword matrix obtaining module is configured to: according to the measured channel measurement information, select a codeword matrix from the r-codebook agreed by the base station and the terminal, to obtain a second matrix w, wherein the weight magnitude information D and The second matrix w collectively characterizes the quantization matrix or precoding matrix W of the channel Hf;

The feedback module is configured to at least feed back indication information of the second matrix w.

Optionally, wherein the weight magnitude information D is amplitude adjustment information of an element in the second matrix w.

Optionally, wherein the second matrix w is a constant modulus codeword.

Optionally, wherein the weight magnitude information D is one or more diagonal matrices.

Optionally, wherein the diagonal elements of the diagonal matrix have at least two different amplitudes.

Optionally, wherein the diagonal element of the diagonal matrix has at least one element that is 0.

Optionally, the determining module determines the weight magnitude information D, the determining module determines, according to the RI value r, the RI group, and obtains the weight magnitude information corresponding to the RI group according to the RI group, where The terminal and the base station agree to divide the value of the RI into X groups, and each group contains different RI values.

Optionally, wherein the quantization matrix or precoding matrix W=P×D×w of the channel Hf, where× represents a matrix product operation.

Optionally, wherein, when r is greater than 1, the determining module obtains the same number of D information as the number of r, D1, D2, ..., Dr, the D1, D2, ..., Dr information respectively and r columns of w A quantization matrix or precoding matrix W for jointly characterizing the channel Hf is combined.

Optionally, wherein the quantization matrix or precoding matrix of the channel Hf is W×P×[D1×w(:,1)...Dr×w(:,r)].

Optionally, wherein the weight magnitude information D is configured by the base station by using a downlink control channel.

Optionally, wherein the weight magnitude information D is determined by the determining module according to the channel measurement pilot, and the feedback module is further configured to feed back the weight magnitude information D to the base station.

Optionally, wherein the first matrix P is configured by a base station by using a downlink control channel, and The station and the terminal agree to divide the value of the RI into Y groups, and the base station allocates a corresponding first matrix P for different RI groups.

Optionally, the feedback module is further configured to feed back the first matrix P, where the base station and the terminal agree to divide the value of the RI into Y groups, and the base station and the terminal agree on respective RI groups. The codebook 1, the codebook 2, the ... codebook Y used for the first matrix P quantization feedback, the codebook 1 ... codebook Y are not identical.

Optionally, wherein the feedback module is configured to:

When the first matrix P and the weight magnitude information D are determined by the determining module according to the base station configuration, the feedback module feeds back the indication information of the second matrix w and the r information to the base station; when the first matrix P, When the weight magnitude information D is determined by the determining module according to the measured channel measurement information Hf, the feedback module feeds back the indication information of the first matrix P, the weight magnitude information D, and the second matrix w to the base station; The first matrix P is determined by the determining module according to the configuration of the base station, and when the weight magnitude information D is determined by the determining module according to the measured channel measurement information Hf, the feedback module feeds back the weight magnitude information to the base station. Denotation information of the D and the second matrix w; when the first matrix P is determined by the determining module according to the measured channel measurement information Hf, when the weight magnitude information D is determined by the determining module according to the base station configuration, The feedback module feeds back the indication information of the weight magnitude information P and the second matrix w to the base station.

The embodiment of the invention further provides a computer readable storage medium storing program instructions, which can be implemented when the program instructions are executed.

In the embodiment of the present invention, by transmitting the weight magnitude D information of the codebook matrix W, the problem of using the constant modulus codebook in the related art is overcome, and conditions for changing the value of the codebook are provided, so that performance is guaranteed in the dimension reduction feedback. .

Other aspects will be apparent upon reading and understanding the drawings and detailed description.

BRIEF abstract

FIG. 1 is a flowchart of a method for acquiring channel information according to an embodiment of the present invention;

2 is a flowchart of another method for acquiring channel information according to an embodiment of the present invention;

FIG. 3 is a structural diagram of an apparatus for acquiring channel information according to an embodiment of the present invention;

FIG. 4 is a structural diagram of another apparatus for acquiring channel information according to an embodiment of the present disclosure;

FIG. 5 is a schematic structural diagram of a base station according to an embodiment of the present invention.

Embodiments of the invention

The embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that, in the case of no conflict, the features in the embodiments and the embodiments in the present application may be arbitrarily combined with each other.

In this context, a base station includes, but is not limited to, a plurality of wireless communication devices such as a macro base station, a micro base station, and a wireless access point.

Terminals include, but are not limited to, data cards, mobile phones, notebook computers, personal computers, tablets, personal digital assistants, Bluetooth and other terminals, as well as relay, remote devices, wireless access points and other wireless communication devices.

The channel rank includes but is not limited to: the number of data transmission layers, the number of data transmission streams, the number of data streams, the number of data layers, the channel Rank, RI, rank, and the like.

FIG. 1 is a flowchart of a method for acquiring channel information according to an embodiment of the present invention. The method shown in Figure 1 includes:

Step 101: The terminal performs channel measurement on the channel measurement pilot (CSI-RS) of the M ports, and obtains the measured channel Hp between the M ports of the base station and the terminal;

Step 102: The terminal determines a channel RI=r according to the measured channel Hp, and selects a codeword matrix w from a codebook whose rank is r agreed by the base station and the terminal;

Step 103: The terminal acquires weight magnitude information D. The codeword matrix w is combined with the weight magnitude information D to jointly represent the quantization information of the channel Hp.

Step 104: The terminal feeds back indication information and r information of the codeword matrix to a base station.

The method provided by the embodiment of the present invention overcomes the problem of using the constant modulus codebook in the related art by transmitting the weight magnitude D information of the codebook matrix W, and provides conditions for changing the value of the codebook, so that when the dimensionality feedback is used Performance is guaranteed.

FIG. 2 is a flowchart of another method for acquiring channel information according to an embodiment of the present invention. The method shown in Figure 2 includes:

Step 201, the terminal performs channel measurement according to the channel measurement pilot, and obtains channel measurement information Hf;

Step 202: The terminal determines, according to the measured channel measurement information Hf, a rank RI=r of the channel;

Step 203: The terminal determines the first matrix P and the weight magnitude information D, where the first matrix P and the weight magnitude information D are determined by the terminal according to the configuration of the base station or the channel measurement information Hf measured by the terminal;

Step 204: The terminal further selects a codeword matrix from the r-codebook agreed by the base station and the terminal according to the measured channel measurement information Hf, to obtain a second matrix w, where the weight magnitude information D and The second matrix w collectively characterizes the quantization matrix or precoding matrix W of the channel Hf;

Step 205: The terminal feeds back at least the indication information of the second matrix w to the base station.

Wherein, step 205 includes:

When the first matrix P and the weight magnitude information D are determined by the terminal according to the configuration of the base station, the terminal feeds back the indication information of the second matrix w and the r information to the base station;

When the first matrix P and the weight magnitude information D are determined by the terminal according to the measured channel information Hf, the terminal feeds back an indication of the first matrix P, the weight magnitude information D, and the second matrix w to the base station. information;

When the first matrix P is determined by the terminal according to the configuration of the base station, and the weight magnitude information D is determined by the terminal according to the measured channel information Hf, the terminal feeds back the weight magnitude information D to the base station, and the second matrix w Indication information;

When the first matrix P is determined by the terminal according to the measured channel information Hf, and the weight magnitude information D is determined by the terminal according to the configuration of the base station, the terminal feeds back the weight magnitude information P and the second matrix w to the base station. Instructions.

The method provided by the embodiment of the present invention overcomes the problem of using the constant modulus codebook in the related art by transmitting the weight magnitude D information of the codebook matrix W, and provides conditions for changing the value of the codebook, so that when the dimensionality feedback is used Performance is guaranteed.

Embodiment 1: The D matrix is acquired at the base station, and the channel Rank=1 or all Ranks use the same D matrix.

In a wireless system, there is a transmission network having at least one base station and at least one terminal. The base station has N _TX transmit antennas (or arrays or ports, hereinafter referred to as antennas/arrays/ports). The terminal has an N _RX antenna/array/port.

Feedback signaling is performed by the following steps.

Step 1: The base station transmits a beam pilot that is activated by the first precoding matrix P;

The first precoding matrix P is a complex matrix of N _TX × N _C , where N _TX >N _C ≥1.

Optionally, the columns and columns of P are mutually orthogonal.

Optionally, the norm of at least one column of each column element of P is not equal to the norm of other columns. That is, P can be written as P = P ₁ D, where the norm of each column element in P ₁ is the same, where D is a matrix of N _C × N _C . The norm of the vector described here is a common definition in mathematics, such as the European norm:

Where v _i , i=1, . . . , N _C is the i-th element of the vector V.

Alternatively, another construction method of P is as follows:

Here, P is an N _TX × N _C matrix, and each column of P can be understood as a fundamental vector reflecting multipath direction and polarization information, and is performed by three DFT (Discrete Fourier Transform) vectors. Ronecke got it. The obtaining method may be: decomposing the channel H, decomposing into a plurality of the multipath weighted combinations, and selecting an effective multipath according to the weight magnitude information. And determining N _C column vectors in P according to the selected plurality of multipaths.

Optionally, when the channel rank fed back by the terminal is equal to 1, at least one of the diagonal elements in the D matrix is unequal to the other elements.

Optionally, when the channel rank fed back by the terminal is greater than 1, the elements on the diagonal of D are equal.

Optionally, when the channel rank is equal to 1, the base station needs to indicate the D matrix to the terminal.

Optionally, when the channel rank is 1 or the rank is greater than 1, but all the data streams use the same D matrix, only one D matrix needs to be calculated, which can be obtained by one of the following methods.

method 1:

a) initializing the channel correlation matrix R = R ₀ , where R ₀ is the Hermitian matrix of N _TX × N _TX ;

b) obtaining, by the uplink Sounding or the upper channel, the uplink channel H ^UL (i, k) on the kth RB at the ith time, where H ^UL (i, k) represents a complex matrix of N _RX × N _TX , Conjugated transposition is performed to obtain the estimated downlink channel H ^DL (i, k) = (H ^UL (i, k)) ^H ;

c) calculate the correlation matrix R = (1 - α) R + αR _i , where

0<α≤1;

d) Perform eigenvalue decomposition on R R=UΩU ^H , where U is a matrix and Ω is a diagonal matrix, then the matrix consisting of the first N _c rows and N _c columns of Ω is the D matrix.

Method 2

Steps a) to c) are the same as method 1, wherein step d) can also be replaced by the following method: eigenvalue decomposition of the R matrix, obtaining the largest N _c eigenvalues, and diagonalizing it to form a D matrix.

Method 3

Steps a) to c) are the same as method 1, wherein step d) can also be replaced by the following method, and the diagonal elements of the R matrix are obtained and sorted to obtain the largest N _c elements and diagonally Form a D matrix.

Step 2: The terminal receives the beam pilot and feeds back the second precoding matrix W according to the beam pilot.

Alternatively, W may be a codebook of the LTE standard.

Embodiment 2: The D matrix is acquired at the base station, and the channel Rank is greater than 1, and each Rank uses a different D matrix.

In a wireless system, there is a transmission network having at least one base station and at least one terminal. The base station has N _TX transmit antennas/array/ports. The terminal has an N _RX antenna/array/port.

Feedback signaling is performed by the following steps.

Step 1: The base station transmits a beam pilot that is activated by the first precoding matrix P;

The first precoding matrix P is a complex matrix of N _TX × N _C , where N _TX >N _C ≥1.

Optionally, the columns and columns of P are mutually orthogonal.

Optionally, the norm of at least one column of each column element of P is not equal to the norm of other columns. That is, P can be written as P = P ₁ D, where the norm of each column element in P ₁ is the same, where D is a matrix of N _C × N _C . The norm of the vector described here is a common definition in mathematics, such as the European norm:

Where v _i , i=1, . . . , N _C is the i-th element of the vector V.

Alternatively, another construction method of P is as follows:

Here, P is an N _TX × N _C matrix, and each column of P can be understood as a fundamental vector reflecting multipath direction and polarization information, which is obtained by Kronecker product from three DFT vectors. The obtaining method may be: decomposing the channel H, decomposing into a plurality of the multipath weighted combinations, and selecting an effective multipath according to the weight magnitude information. And determining N _C column vectors in P according to the selected plurality of multipaths.

Optionally, when the channel rank fed back by the terminal is equal to 1, at least one of the diagonal elements in the D matrix is unequal to the other elements.

Optionally, when the channel rank fed back by the terminal is greater than 1, each rank has a D matrix. For example, if the channel rank is N _RI , then the D matrix used for the i th data layer is D _i , where i=1, . . . , N _RI . Thereby, the first precoding matrix of the i th data layer is obtained as P _i =P _1,i D _i , i=1, . . . , N _RI . Wherein P _{1, i} is the i th data P ₁ on the matrix layer, P ₁ matrix on the different data layers may be different.

Optionally, the base station needs to indicate the D matrix to the terminal.

Optionally, when the channel rank is greater than 1 and the different data streams use different D matrices, more than one D matrix needs to be calculated, which can be obtained by one of the following methods.

method 1:

a) initializing the channel correlation matrix R = R ₀ , where R ₀ is the Hermitian matrix of N _TX × N _TX ;

b) obtaining an uplink channel H ^UL (i, k) on the kth RB at the ith time by uplink sounding or an upper channel, where H ^UL (i, k) represents a complex matrix of N _RX × N _TX Performing conjugate transposition to obtain an estimated downlink channel H ^DL (i, k) = (H ^UL (i, k)) ^H ;

c) calculate the correlation matrix R = (1 - α) R + αR _i , where

0<α≤1;

d) eigenvalue decomposition R is R=UΩU ^H , where U is a matrix and Ω is a diagonal matrix, then the matrix consisting of the first N _c rows and N _c columns of Ω is the D matrix;

Step d) can also be replaced by the following method, eigenvalue decomposition of the R matrix, obtaining the largest N _c eigenvalues, and diagonalizing it to form a D matrix;

Step d) can also be replaced by the following method, and the diagonal elements of the R matrix are obtained and sorted to obtain the largest N _c elements, and diagonalized to form a D matrix.

Assume that the above D matrix can be expressed as

Then the D matrix on the i-th data layer can multiply the above-mentioned D matrix by a different phase rotation, which is:

Where θ _ij , j=1, . . . , N _C represent the jth rotation phase of the i th data layer.

Method 2:

a) initializing the channel correlation matrix R = R ₀ , where R ₀ is the Hermitian matrix of N _TX × N _TX ;

b) obtaining an uplink channel H ^UL (i, k) on the kth RB at the ith time by uplink sounding or an upper channel, where H ^UL (i, k) represents a complex matrix of N _RX × N _TX Performing conjugate transposition to obtain an estimated downlink channel H ^DL (i, k) = (H ^UL (i, k)) ^H ;

c) calculate the correlation matrix R = (1 - α) R + αR _i , where

0<α≤1;

d) eigenvalue decomposition of R is R=UΩU ^H , where U is a matrix, Ω is a diagonal matrix, the elements on the diagonal are the singular values of R, taking N _C singular values of the R matrix, and Diagonalizing them to form a matrix is a D matrix. Among them, the singular values of different data layer selections are at least one different. For example, in two layers, the first layer selects the previous N _C singular values, while the second layer selects N _C +1 to 2N _C singular values.

Step d) can also be replaced by the following method: eigenvalue decomposition of the R matrix, taking N _C eigenvalues of the R matrix, and diagonalizing them to form a matrix is a D matrix. Among them, different data layers select at least one different feature value. For example, in two layers, the first layer selects the N _C eigenvalues from the previous pair, and the second layer selects the _C eigen values from N _C +1 to 2 N.

Step d) can also be replaced by the following method, and the diagonal elements of the R matrix are obtained and sorted to obtain the largest N _c elements, and diagonalized to form a D matrix. Among them, the values selected by different data layers are at least one different. For example, in two layers, the first layer selects the previous N _C values, and the second layer selects the values from N _C +1 to 2N _C.

Method 3: The D matrix D _j , j=1, . . . , N _{RI of} the jth data layer is obtained by the following method.

a) initializing the channel correlation matrix R = R ₀ , where R ₀ is the Hermitian matrix of N _TX × N _TX ;

b) obtaining, by the uplink sounding or the upper channel, the jth antenna of the terminal to the i-th time on the kth RB uplink channel of the base station

Where H ^UL (i, k) represents a complex matrix of 1 × N _TX , which is conjugate transposed to obtain an estimated downlink channel H _j ^DL (i, k) = (H _j ^UL (i, k)) ^H ;

c) calculate the correlation matrix R = (1 - α) R + αR _i , where

0<α≤1;

d) Perform eigenvalue decomposition on R R=UΩU ^H , where U is a matrix and Ω is a diagonal matrix, then the matrix consisting of the first N _c rows and N _c columns of Ω is the D matrix.

Step d) can also be replaced by the following method: eigenvalue decomposition of the R matrix, obtaining the largest N _c eigenvalues, and diagonalizing it to form a D matrix.

Step d) can also be replaced by the following method, and the diagonal elements of the R matrix are obtained and sorted to obtain the largest N _c elements, and diagonalized to form a D matrix.

Step 2: The terminal receives the beam pilot and feeds back the second precoding matrix W according to the beam pilot.

Alternatively, W may be a codebook of the LTE standard.

Embodiment 3: The D matrix is acquired at the terminal, and the channel Rank=1 or the different ranks use the same D matrix.

In a wireless system, there is one transmission network having at least one base station and at least one terminal. The base station has N _TX transmit antennas/array/ports. The terminal has an N _RX antenna/array/port.

Step 1: The base station transmits a beam pilot that is activated by the first precoding matrix P;

The first precoding matrix P is a complex matrix of N _TX × N _C , where N _TX >N _C ≥1.

Optionally, the columns and columns of P are mutually orthogonal. And the norm of each column element of P is equal.

Alternatively, another construction method of P is as follows:

Here, P is an N _TX × N _C matrix, and each column of P can be understood as a fundamental vector reflecting multipath direction and polarization information, which is obtained by Kronecker product from three DFT vectors. The obtaining method may be: decomposing the channel H, decomposing into a plurality of the multipath weighted combinations, and selecting an effective multipath according to the weight magnitude information. And determining N _C column vectors in P according to the selected plurality of multipaths.

Step 2: The base station transmits a non-beam pilot;

The non-beam pilot refers to a period in which no pilot is transmitted when the pilot is transmitted, and a period in which the non-beam pilot is transmitted is greater than a period of the beam pilot.

Step 3: The terminal receives the beam pilot and the non-beam pilot, and feeds back the second precoding matrix W according to the beam pilot and the non-beam pilot.

Alternatively, W can be written in the form W=DW ₁ , where D is a diagonal matrix of N _C ×N _C , W ₁ is a complex matrix of N _C *N _S , the norm of W ₁ is 1, and is greater than In the case of 1 column, the columns are orthogonal to the columns.

Optionally, W ₁ is a codebook of the LTE standard.

Optionally, when the channel rank is equal to 1, at least one of the diagonal elements in the D matrix is unequal to the other elements.

Alternatively, when the channel rank is greater than 1, the elements on the diagonal of D are equal.

Optionally, the terminal needs to feed back the D matrix to the base station when the channel rank is equal to one.

Optionally, when the channel rank is 1 or the rank is greater than 1, but all the data layers use the same D matrix, only one D matrix needs to be calculated, which can be obtained by one of the following methods.

method 1:

a) initializing the channel correlation matrix R = R ₀ , where R ₀ is the Hermitian matrix of N _TX × N _TX ;

b) obtaining, by the non-beam pilot, the downlink channel H ^DL (i, k) on the kth RB at the ith time;

c) calculate the correlation matrix R = (1 - α) R + αR _i , where

0<α≤1;

d) Perform eigenvalue decomposition on R R=UΩU ^H , where U is a matrix and Ω is a diagonal matrix, then the matrix consisting of the first N _c rows and N _c columns of Ω is the D matrix.

Step d) can also be replaced by the following method: eigenvalue decomposition of the R matrix, obtaining the largest N _c eigenvalues, and diagonalizing it to form a D matrix.

Step d) can also be replaced by the following method, and the diagonal elements of the R matrix are obtained and sorted to obtain the largest N _c elements, and diagonalized to form a D matrix.

Method 2:

Step a) measuring the power P _i , i = 1, ..., N _{c of the} beam pilot port and forming it into a diagonal matrix is a D matrix;

Embodiment 4: The D matrix is acquired at the terminal, and the channel Rank is greater than 1 or different ranks use different D matrices.

In a wireless system, there is one transmission network having at least one base station and at least one terminal. The base station has N _TX transmit antennas/array/ports. The terminal has an N _RX antenna/array/port.

Step 1: The base station transmits a beam pilot that is activated by the first precoding matrix P;

The first precoding matrix P is a complex matrix of N _TX × N _C , where N _TX >N _C ≥1.

Optionally, the columns and columns of P are mutually orthogonal. And the norm of each column element of P is equal.

Alternatively, another construction method of P is as follows:

Here, P is an N _TX × N _C matrix, and each column of P can be understood as a fundamental vector reflecting multipath direction and polarization information, which is obtained by Kronecker product from three DFT vectors. The obtaining method may be: decomposing the channel H, decomposing into a plurality of the multipath weighted combinations, and selecting an effective multipath according to the weight magnitude information. Determining N _C column vectors in P according to the selected plurality of multipaths

Step 2: The base station transmits a non-beam pilot;

The non-beam pilot refers to a period in which no pilot is transmitted when the pilot is transmitted, and a period in which the non-beam pilot is transmitted is greater than a period of the beam pilot.

Step 3: The terminal receives the beam pilot and the non-beam pilot, and feeds back the second precoding matrix W according to the beam pilot and the non-beam pilot.

Alternatively, W can be written in the form W=DW ₁ , where D is a diagonal matrix of N _C ×N _C , W ₁ is a complex matrix of N _C *N _S , the norm of W ₁ is 1, and is greater than In the case of 1 column, the columns are orthogonal to the columns.

Optionally, W ₁ is a codebook of the LTE standard.

Optionally, when the channel rank is greater than 1, there is one D matrix for each rank. For example, if the channel rank is N _RI , then the D matrix used for the i th data layer is D _i , where i=1, . . . , N _RI . Thereby, the first precoding matrix of the i th data layer is obtained as P _i =P _1,i D _i , i=1, . . . , N _RI . Wherein P _{1, i} is the i th data P ₁ on the matrix layer, P ₁ matrix on the different data layers may be different.

Optionally, the terminal needs to feed back the D matrix to the base station.

Optionally, when the channel rank is 1 or the rank is greater than 1, but all the data layers use the same D matrix, only one D matrix needs to be calculated, which can be obtained by one of the following methods.

method 1:

a) initializing the channel correlation matrix R = R ₀ , where R ₀ is the Hermitian matrix of N _TX × N _TX ;

b) obtaining, by the non-beam pilot, the downlink channel H ^DL (i, k) on the kth RB at the ith time;

c) calculate the correlation matrix R = (1 - α) R + αR _i , where

0<α≤1;

d) Perform eigenvalue decomposition on R R=UΩU ^H , where U is a matrix and Ω is a diagonal matrix, then the matrix consisting of the first N _c rows and N _c columns of Ω is the D matrix.

Step d) can also be replaced by the following method: eigenvalue decomposition of the R matrix, obtaining the largest N _c eigenvalues, and diagonalizing it to form a D matrix.

Step d) can also be replaced by the following method, and the diagonal elements of the R matrix are obtained and sorted to obtain the largest N _c elements, and diagonalized to form a D matrix.

Method 2:

Step a) measuring the power P _i , i = 1, ..., N _{c of the} beam pilot port and forming it into a diagonal matrix is a D matrix;

Optionally, when the channel rank is greater than 1 and the different data streams use different D matrices, more than one D matrix needs to be calculated, which can be obtained by one of the following methods.

method 1:

a) initializing the channel correlation matrix R = R ₀ , where R ₀ is the Hermitian matrix of N _TX × N _TX ;

b) obtaining, by the non-beam pilot, the downlink channel H ^DL (i, k) on the kth RB at the ith time;

c) calculate the correlation matrix R = (1 - α) R + αR _i , where

0<α≤1;

d) Perform eigenvalue decomposition on R R=UΩU ^H , where U is a matrix and Ω is a diagonal matrix, then the matrix consisting of the first N _c rows and N _c columns of Ω is the D matrix.

Step d) can also be replaced by the following method: eigenvalue decomposition of the R matrix, obtaining the largest N _c eigenvalues, and diagonalizing it to form a D matrix.

Step d) can also be replaced by the following method, and the diagonal elements of the R matrix are obtained and sorted to obtain the largest N _c elements, and diagonalized to form a D matrix.

Assume that the above D matrix can be expressed as

Then the D matrix on the i-th data layer can multiply the above-mentioned D matrix by a different phase rotation, which is:

Where θ _ij , j=1, . . . , N _C represent the jth rotation phase of the i th data layer. It is obtained by the terminal based on channel or multipath information.

Method 2:

a) initializing the channel correlation matrix R = R ₀ , where R ₀ is the Hermitian matrix of N _TX × N _TX ;

b) obtaining, by the non-beam pilot, the downlink channel H ^DL (i, k) on the kth RB at the ith time;

c) calculate the correlation matrix R = (1 - α) R + αR _i , where

0<α≤1;

d) eigenvalue decomposition of R is R=UΩU ^H , where U is a matrix, Ω is a diagonal matrix, the elements on the diagonal are the singular values of R, taking N _C singular values of the R matrix, and Diagonalizing them to form a matrix is a D matrix. Among them, the singular values of different data layer selections are at least one different. For example, in two layers, the first layer selects the previous N _C singular values, while the second layer selects N _C +1 to 2N _C singular values.

Step d) can also be replaced by the following method: eigenvalue decomposition of the R matrix, taking N _C eigenvalues of the R matrix, and diagonalizing them to form a matrix is a D matrix. Among them, different data layers select at least one different feature value. For example, in two layers, the first layer selects the N _C eigenvalues from the previous pair, and the second layer selects the _C eigen values from N _C +1 to 2N.

Step d) can also be replaced by the following method, and the diagonal elements of the R matrix are obtained and sorted to obtain the largest N _c elements, and diagonalized to form a D matrix. Among them, the values selected by different data layers are at least one different. For example, in two layers, the first layer selects the previous N _C values, and the second layer selects the values from N _C +1 to 2N _C.

Method 3: The D matrix D _j , j=1, . . . , N _{RI of} the jth data layer is obtained by the following method.

a) initializing the channel correlation matrix R = R ₀ , where R ₀ is the Hermitian matrix of N _TX × N _TX ;

b) obtaining, by the non-beam pilot, the downlink channel H _j ^DL (i, k) on the kth RB at the ith time from the base station to the jth antenna of the terminal;

c) calculate the correlation matrix R = (1 - α) R + αR _i , where

0<α≤1;

d) Perform eigenvalue decomposition on R R=UΩU ^H , where U is a matrix and Ω is a diagonal matrix, then the matrix consisting of the first N _c rows and N _c columns of Ω is the D matrix.

Step d) can also be replaced by the following method: eigenvalue decomposition of the R matrix, obtaining the largest N _c eigenvalues, and diagonalizing it to form a D matrix.

Step d) can also be replaced by the following method, and the diagonal elements of the R matrix are obtained and sorted to obtain the largest N _c elements, and diagonalized to form a D matrix.

FIG. 3 is a structural diagram of an apparatus for acquiring channel information according to an embodiment of the present invention. The device is disposed at a terminal, and the device includes:

The channel obtaining module 301 is configured to obtain the channel Hp between the measured M ports of the base station and the terminal;

The amplitude obtaining module 302 is configured to obtain the weight magnitude information D;

The codeword matrix selection module 303 is configured to determine a rank RI=r of the channel according to the measured channel Hp, and select a codeword matrix w in the codebook whose rank is r agreed by the base station and the terminal, a codeword matrix w in combination with the weight magnitude information D for jointly characterizing the quantized information of the channel Hp;

The sending module 304 is configured to feed back the indication information and the r information of the codeword matrix to the base station.

The weight magnitude information D is amplitude adjustment information of elements in the codeword matrix w.

The codeword matrix w is a constant modulus codeword.

The weight magnitude information D information is one or more diagonal matrices.

Wherein, there are at least two different amplitudes of the diagonal matrix diagonal elements.

Wherein, at least one element of the diagonal matrix diagonal element has 0.

The value of the rank RI is divided into X groups, and each group includes a value of a different rank RI. The amplitude obtaining module obtains the weight magnitude information D, and the amplitude acquiring module obtains the rank RI according to the rank RI. The value r determines the rank RI group in which the rank RI group obtains the weight magnitude information D corresponding to the rank RI group. The quantization information of the channel Hp is W = D x w, where x represents a matrix product operation.

The amplitude obtaining module is configured to obtain the same number of weight magnitude information D as the number of r when r is greater than 1, including D1, D2, ... Dr, and the D1, D2, ..., Dr information are respectively The r columns of w are combined with quantization information for jointly characterizing the channel Hp; the quantization information of the channel Hp is W = D1 × w(:, 1) ... Dr × w (:, r), where × represents a matrix Product operation.

The weight magnitude information D is configured by the base station through the downlink control channel.

The weight magnitude information D is determined by the terminal according to the channel measurement pilot, and the sending module is further configured to feed back the weight magnitude information D to the base station.

The D information is a singular value of the channel matrix Hp or is a channel autocorrelation matrix.

Characteristic value.

The embodiment further provides a base station, as shown in FIG. 5, including a first module 501 and a second module 502, where

The first module 501 is configured to perform precoding using a matrix P when transmitting a channel measurement pilot, where the matrix P is fed back by a terminal or obtained according to an uplink channel measurement result;

The second module 502 is configured to map the channel measurement pilots precoded using the matrix P by Nt physical antenna units to M antenna ports, where Nt and M are integers, and M is less than or equal to Nt.

The matrix P, the weight magnitude information D, and the codeword matrix w information are used to obtain channel quantization information W of the channel Hf between the Nt physical antenna elements and the terminal.

The channel quantization information W=P×D×w, where × represents a matrix product operation.

The matrix P, the weight magnitude information D1, D2, ..., Dr, and the codeword matrix w information are used to obtain channel quantization information W of the channel Hf between the Nt physical antenna elements and the terminal.

The channel quantization information W=P×[D1×w(:,1)...Dr×w(:,r)], where × represents a matrix product operation.

The apparatus provided by the embodiment of the present invention overcomes the problem of using the constant modulus codebook in the related art by transmitting the weight magnitude D information of the codebook matrix W, and provides conditions for changing the value of the codebook, so that when the dimensionality feedback is used Performance is guaranteed.

FIG. 4 is a structural diagram of another apparatus for acquiring channel information according to an embodiment of the present invention. The device shown in Figure 4 includes:

The measurement information obtaining module 401 is configured to perform channel measurement according to the channel measurement pilot to obtain channel measurement information Hf;

a rank obtaining module 402, configured to determine a rank RI=r of the channel according to the measured channel measurement information Hf;

The determining module 403 is configured to determine the first matrix P and the weight magnitude information D, wherein the first matrix P, the weight magnitude information D is determined by the terminal according to the base station configuration determination or the channel information Hf measured by the terminal;

The code matrix obtaining module 404 is configured to select a codeword matrix from the r-codebook agreed by the base station and the terminal according to the measured channel measurement information, to obtain a second matrix w, wherein the weight magnitude information D And a quantization matrix or precoding matrix W that characterizes channel information together with the second matrix w;

The feedback module 405 is configured to at least feed back indication information of the second matrix w.

The feedback module 405 is configured to:

When the first matrix P and the weight magnitude information D are determined by the determining module according to the base station configuration, the feedback module feeds back the indication information of the second matrix w and the r information to the base station; when the first matrix P, The weight magnitude information D is determined by the determining module according to the measured channel measurement information Hf Determining, the feedback module feeds back indication information of the first matrix P, the weight magnitude information D, and the second matrix w to the base station; when the first matrix P is determined by the determining module according to the configuration of the base station, the weight When the amplitude information D is determined by the determining module according to the measured channel measurement information Hf, the feedback module feeds back the indication information of the weight magnitude information D and the second matrix w to the base station; when the first matrix P is The determining module determines, according to the measured channel measurement information Hf, when the weight magnitude information D is determined by the determining module according to the configuration of the base station, the feedback module feeds back the weight magnitude information P and the second matrix w to the base station. Instructions.

The weight magnitude information D is amplitude adjustment information of elements in the second matrix w.

The second matrix w is a constant modulus codeword.

The weight magnitude information D is one or more diagonal matrices.

Wherein, the diagonal elements of the diagonal matrix have at least two different amplitudes.

Wherein, at least one element of 0 is present in the diagonal element of the diagonal matrix.

The determining module determines the weight magnitude information D, the determining module determines the RI group in which the RI group is located according to the RI value, and obtains the weight magnitude information corresponding to the RI group according to the RI group, wherein the terminal and the terminal The base station agrees to divide the value of the RI into X groups, each group containing different RI values.

The quantization information of the channel Hf, that is, the quantization matrix of the channel Hf or the precoding matrix W=P×D×w, where × represents a matrix product operation.

Wherein, when r is greater than 1, the determining module obtains the same number of D information as the number of r, D1, D2, ... Dr, and the D1, D2, ... Dr information is combined with the r columns of w for common Characterizing the quantized information of the channel Hf.

The quantization information of the channel Hf is W × P × [D1 × w (:, 1) ... Dr × w (:, r)].

The weight magnitude information D is configured by the base station through the downlink control channel.

The weight magnitude information D is determined by the determining module according to the channel measurement pilot, and the feedback module is further configured to feed back the weight magnitude information D to the base station.

The first matrix P is configured by the base station by using a downlink control channel, and the base station and the terminal agree to divide the value of the RI into Y groups, and the base station allocates a corresponding first matrix P for different RI groups.

The feedback module is further configured to feed back the first matrix P, wherein the base station and the terminal agree to divide the value of the RI into Y groups, and the base station and the terminal agree to use the respective RI group for The first matrix P quantizes the fed back codebook 1, codebook 2, ... codebook Y, the codebook 1 ... codebook Y is not identical (the incompleteness means at least one codebook and other codes) This is different, that is, not all the same).

The apparatus provided by the embodiment of the present invention overcomes the problem of using the constant modulus codebook in the related art by transmitting the weight magnitude D information of the codebook matrix W, and provides conditions for changing the value of the codebook, so that when the dimensionality feedback is used Performance is guaranteed.

One of ordinary skill in the art will appreciate that all or a portion of the steps of the above-described embodiments can be implemented using a computer program flow, which can be stored in a computer readable storage medium, such as on a corresponding hardware platform (eg, The system, device, device, device, etc. are executed, and when executed, include one or a combination of the steps of the method embodiments.

Alternatively, all or part of the steps of the above embodiments may also be implemented by using an integrated circuit. These steps may be separately fabricated into individual integrated circuit modules, or multiple modules or steps may be fabricated into a single integrated circuit module. achieve. Thus, embodiments of the invention are not limited to any specific combination of hardware and software.

The devices/function modules/functional units in the above embodiments may be implemented by a general-purpose computing device, which may be centralized on a single computing device or distributed over a network of multiple computing devices.

When each device/function module/functional unit in the above embodiment is implemented in the form of a software function module and sold or used as a stand-alone product, it can be stored in a computer readable storage medium. The above mentioned computer readable storage medium may be a read only memory, a magnetic disk or an optical disk or the like.

Industrial applicability

The embodiment of the present invention overcomes the problem of using the constant modulus codebook in the related art by transmitting the weight magnitude D information of the codebook matrix W, and provides conditions for changing the value of the codebook, so that the performance is guaranteed in the dimensionality reduction feedback.

Claims (64)

1. A method for obtaining channel information includes:

   The terminal obtains the measured channel Hp between the M ports of the base station and the terminal;

   The terminal determines the rank RI=r of the channel according to the measured channel Hp, and selects a codeword matrix w in the codebook whose rank is r agreed by the base station and the terminal;

   The terminal acquires weight magnitude information D; the codeword matrix w is combined with the weight magnitude information D for jointly characterizing the quantized information of the channel Hp;

   The terminal feeds back indication information and r information of the codeword matrix to the base station.
2. The method of claim 1, wherein the weight magnitude information D is amplitude adjustment information of elements in the codeword matrix w.
3. The method of claim 1 or 2, wherein the codeword matrix w is a constant modulus codeword.
4. The method of claim 1 wherein said weight magnitude information D information is one or more diagonal matrices.
5. The method of claim 4 wherein said diagonal matrix diagonal elements have at least 2 different magnitudes.
6. The method of claim 4 wherein said diagonal matrix diagonal element has at least one element of zero.
7. The method of claim 1 wherein

   The value of the rank RI is divided into X groups, and each group contains values of different rank RIs;

   The terminal obtains the weight magnitude information D: the terminal determines the rank RI group according to the value r of the rank RI, and the terminal obtains the weight magnitude information D corresponding to the rank RI group according to the RI group;

   The quantization information of the channel Hp is W = D x w, where x represents a matrix product operation.
8. The method according to claim 1 or 7, wherein when r is greater than 1, the terminal obtains the same number of weight magnitude information D as the number of r, including D1, D2 ... Dr, said D1, D2 ... Dr The information is combined with the r columns of w, respectively, for jointly characterizing the quantized information of the channel Hp;

   The quantization information of the channel Hp is W = D1 × w (:, 1) ... Dr × w (:, r), where × represents a moment Matrix product operation.
9. The method of claim 1 wherein said weight magnitude information D is configured by a base station over a downlink control channel.
10. The method according to claim 1, wherein said weight magnitude information D is determined by a terminal for channel measurement based on a channel measurement pilot, and said weight magnitude information D is fed back by said terminal to a base station.
11. The method according to claim 1, wherein the weight magnitude information is a singular value of the channel matrix Hp or a channel autocorrelation matrix

    

    Characteristic value.
12. The method according to claim 1, further comprising: when the base station transmits a channel measurement pilot, precoding using a matrix P, and mapping from Nt physical antenna units to M antenna ports, the Nt and M is an integer, and M is less than or equal to Nt, wherein the matrix P is fed back by the terminal or obtained according to the uplink channel measurement result.
13. The method according to claim 12, the method further comprising: the base station obtaining channel quantization information of the channel Hf between the Nt physical antenna elements and the terminal by using the matrix P, the weight magnitude information D and the codeword matrix w information W.
14. The method of claim 13 wherein said channel quantization information W = P x D x w, wherein x represents a matrix product operation.
15. The method according to claim 14, wherein the base station obtains channel quantization information W of the channel Hf between the Nt physical antenna elements and the terminal by using the matrix P, the weight magnitude information D, and the codeword matrix w information, including:

    The base station obtains channel quantization information W of the channel Hf between the Nt physical antenna elements and the terminal by using the matrix P, the weight magnitude information D1, D2, ..., Dr and the codeword matrix w information.
16. The method according to claim 15, wherein said channel quantization information W = P × [D1 × w (:, 1) ... Dr × w (:, r)], wherein × represents a matrix product operation.
17. A method for obtaining channel information includes:

    The terminal obtains channel measurement information Hf;

    Determining, by the terminal, the rank RI=r of the channel according to the measured channel measurement information Hf;

    Determining, by the terminal, the first matrix P and the weight magnitude information D, wherein the first matrix P and the weight magnitude information D are determined by the terminal according to the configuration of the base station or the channel measurement information Hf measured by the terminal;

    The terminal further selects a codeword matrix from the r-codebook agreed by the base station and the terminal according to the measured channel measurement information Hf, to obtain a second matrix w, wherein the weight magnitude information D and the second matrix w together to characterize the quantization matrix or precoding matrix W of the channel Hf;

    The terminal feeds back at least the indication information of the second matrix w.
18. The method according to claim 17, wherein said weight magnitude information D is amplitude adjustment information of elements in the second matrix w.
19. The method of claim 17 or 18, wherein said second matrix w is a constant modulus codeword.
20. The method of claim 17, wherein the weight magnitude information D is one or more diagonal matrices.
21. The method of claim 20 wherein the diagonal elements of the diagonal matrix have at least 2 different magnitudes.
22. The method of claim 20 wherein at least one element of zero is present for the diagonal element of the diagonal matrix.
23. The method according to claim 17, wherein the terminal determines the weight magnitude information D, comprising: the base station and the terminal agree to divide the value of the RI into X groups, each group containing different RI values, and the terminal according to the RI The value r determines the RI group in which the RI group is located, and the terminal obtains the weight magnitude information D corresponding to the RI group according to the RI group.
24. The method of claim 17, wherein the quantization matrix or precoding matrix W = P x D x w of the channel Hf, wherein x represents a matrix product operation.
25. The method according to claim 17, wherein, when r is greater than 1, the terminal obtains the same number of D information as the number of r, D1, D2, ... Dr, the D1, D2, ... Dr information respectively and r of w The columns are combined to quantize the matrix or precoding matrix W that collectively characterizes the channel Hf.
26. The method according to claim 25, wherein the quantization matrix or precoding matrix of the channel Hf is W = P × [D1 × w (:, 1) ... Dr × w (:, r)].
27. The method of claim 17, wherein the weight magnitude information D is configured by the base station via a downlink control channel.
28. The method according to claim 17, wherein the weight magnitude information D is determined by the terminal to perform channel measurement according to the channel measurement pilot, and the terminal feeds back the weight magnitude information D to the base station.
29. The method according to claim 17, wherein the first matrix P is configured by a base station by using a downlink control channel, and the base station and the terminal agree to divide the value of the RI into Y groups, and the base station allocates corresponding groups for different RI groups. The first matrix P.
30. The method according to claim 29, wherein the first matrix P is fed back by the terminal, and the base station and the terminal agree to divide the value of the RI into Y groups, and the base station and the terminal agree on the respective RI group used for the first A matrix P quantizes the feedback codebook 1, codebook 2, ... codebook Y, the codebook 1 ... codebook Y is not identical.
31. The method according to claim 17, wherein the terminal feedbacks at least the indication information of the second matrix w, including:

    When the first matrix P and the weight magnitude information D are determined by the terminal according to the configuration of the base station, the terminal feeds back the indication information of the second matrix w and the r information to the base station;

    When the first matrix P and the weight magnitude information D are determined by the terminal according to the measured channel information Hf, the terminal feeds back an indication of the first matrix P, the weight magnitude information D, and the second matrix w to the base station. information;

    When the first matrix P is determined by the terminal according to the configuration of the base station, and the weight magnitude information D is determined by the terminal according to the measured channel information Hf, the terminal feeds back the weight magnitude information D and the second matrix w to the base station. Indication information;

    When the first matrix P is determined by the terminal according to the measured channel information Hf, and the weight magnitude information D is determined by the terminal according to the configuration of the base station, the terminal feeds back the weight magnitude information P and the second matrix w to the base station. Instructions.
32. A device for acquiring channel information, wherein the device is disposed at a terminal, and the device includes:

    a channel acquisition module, configured to obtain a channel between the measured M ports of the base station and the terminal Hp;

    The amplitude acquisition module is set to obtain the weight magnitude information D;

    a codeword matrix selection module is configured to determine a rank RI=r of the channel according to the measured channel Hp, and select a codeword matrix w in the codebook of the rank r agreed by the base station and the terminal, the code a word matrix w in combination with the weight magnitude information D for jointly characterizing the quantized information of the channel Hp;

    The sending module is configured to feed back the indication information and the r information of the codeword matrix to the base station.
33. The apparatus according to claim 32, wherein said weight magnitude information D is amplitude adjustment information of an element in the codeword matrix w.
34. The apparatus of claim 32 or 33, wherein said codeword matrix w is a constant modulus codeword.
35. The apparatus of claim 32, wherein the weight magnitude information D information is one or more diagonal matrices.
36. The apparatus of claim 35 wherein said diagonal matrix diagonal elements have at least 2 different magnitudes.
37. The apparatus of claim 35 wherein said diagonal matrix diagonal element has at least one element of zero.
38. The device of claim 32 wherein:

    The value of the rank RI is divided into X groups, and each group includes values of different rank RIs;

    The amplitude obtaining module obtains the weight magnitude information D. The amplitude acquiring module determines the rank RI group according to the value r of the rank RI, and obtains the weight magnitude information corresponding to the rank RI group according to the rank RI group. D;

    The quantization information of the channel Hp is W = D x w, where x represents a matrix product operation.
39. A device according to claim 32 or 28, wherein:

    The amplitude acquisition module is configured to obtain the same number of weight magnitude information D as the number of r when r is greater than 1, including D1, D2, ... Dr, the D1, D2, ... Dr information and w respectively r columns are combined for quantizing information for jointly characterizing the channel Hp;

    The quantization information of the channel Hp is W = D1 × w (:, 1) ... Dr × w (:, r), where × represents a matrix product operation.
40. The apparatus according to claim 32, wherein said weight magnitude information D is configured by a base station through a downlink control channel.
41. The apparatus according to claim 32, wherein said weight magnitude information D is determined by said terminal in accordance with a channel measurement pilot, said transmission module being further arranged to feed back said weight magnitude information D to a base station.
42. The apparatus according to claim 32, wherein said D information is a singular value of a channel matrix Hp or a channel autocorrelation matrix

    

    Characteristic value.
43. a base station, including,

    a first module, configured to perform precoding using a matrix P when transmitting channel measurement pilots, wherein the matrix P is fed back by a terminal or obtained according to an uplink channel measurement result;

    The second module is configured to map the channel measurement pilot precoded using the matrix P by Nt physical antenna units to M antenna ports, where Nt and M are integers, and M is less than or equal to Nt.
44. The base station according to claim 43, wherein the matrix P, the weight magnitude information D, and the codeword matrix w information are used to obtain channel quantization information W of the channel Hf between the Nt physical antenna elements and the terminal.
45. The base station according to claim 44, wherein said channel quantization information W = P × D × w, wherein × represents a matrix product operation.
46. The base station according to claim 45, wherein said matrix P, weight magnitude information D1, D2 ... Dr, and codeword matrix w information are used to obtain a channel of a channel Hf between Nt physical antenna elements and a terminal Quantify information W.
47. The base station according to claim 46, wherein said channel quantization information W = P × [D1 × w (:, 1) ... Dr × w (:, r)], wherein × represents a matrix product operation.
48. A device for acquiring channel information is provided in a terminal, and the device includes:

    a measurement information acquisition module, configured to obtain channel measurement information Hf;

    a rank obtaining module, configured to determine a rank RI=r of the channel according to the measured channel measurement information Hf;

    a determining module, configured to determine the first matrix P and the weight magnitude information D, wherein the first matrix P, the weight magnitude information D is determined by the terminal according to the configuration of the base station or the channel information Hf measured by the terminal;

    The codeword matrix obtaining module is configured to: according to the measured channel measurement information, select a codeword matrix from the r-codebook agreed by the base station and the terminal, to obtain a second matrix w, wherein the weight magnitude information D and The second matrix w collectively characterizes the quantization matrix or precoding matrix W of the channel Hf;

    The feedback module is configured to at least feed back indication information of the second matrix w.
49. The apparatus according to claim 48, wherein said weight magnitude information D is amplitude adjustment information of an element in the second matrix w.
50. The apparatus of claim 48 or 49, wherein said second matrix w is a constant modulus codeword.
51. The apparatus of claim 48, wherein the weight magnitude information D is one or more diagonal matrices.
52. The apparatus of claim 51 wherein the diagonal elements of said diagonal matrix have at least two different magnitudes.
53. The apparatus of claim 51 wherein at least one element of zero is present in a diagonal element of said diagonal matrix.
54. The apparatus according to claim 48, wherein the determining module determines the weight magnitude information D, the determining module determines the RI group in which the RI group is located according to the RI value, and obtains the weight corresponding to the RI group according to the RI group. Amplitude information, wherein the terminal and the base station agree to divide the value of the RI into X groups, each group containing different RI values.
55. The apparatus of claim 48, wherein the quantization matrix or precoding matrix of the channel Hf is W = D x w, where x represents a matrix product operation.
56. The apparatus according to claim 48, wherein, when r is greater than 1, said determining module obtains the same number of D information as D number, D1, D2 ... Dr, said D1, D2 ... Dr information respectively r columns of w combine quantization matrix or precoding matrix for jointly characterizing the channel Hf W.
57. The apparatus according to claim 56, wherein said quantization matrix or precoding matrix of said channel Hf is W = P × [D1 × w (:, 1) ... Dr × w (:, r)].
58. The apparatus according to claim 48, wherein said weight magnitude information D is configured by a base station through a downlink control channel.
59. The apparatus according to claim 48, wherein said weight magnitude information D is determined by said determining module for channel measurement based on a channel measurement pilot, said feedback module further configured to feed back said weight magnitude information D to a base station .
60. The apparatus according to claim 48, wherein the first matrix P is configured by a base station by using a downlink control channel, and the base station and the terminal agree to divide the value of the RI into Y groups, and the base station allocates different RI groups. Corresponding first matrix P.
61. The apparatus according to claim 60, wherein the feedback module is further configured to feed back the first matrix P, wherein the base station and the terminal agree to divide the values of the RI into Y groups, the base station and the terminal The codebook 1, the codebook 2, the ... codebook Y for the first matrix P quantization feedback used by the respective RI groups are agreed, and the codebooks 1 ... codebook Y are not completely identical.
62. The apparatus of claim 48 wherein said feedback module is configured to:

    When the first matrix P and the weight magnitude information D are determined by the determining module according to the base station configuration, the feedback module feeds back the indication information of the second matrix w and the r information to the base station;

    When the first matrix P, the weight magnitude information D is determined by the determining module according to the measured channel measurement information Hf, the feedback module feeds back the first matrix P, the weight magnitude information D, and the The indication information of the second matrix w;

    When the first matrix P is determined by the determining module according to the base station configuration, and the weight magnitude information D is determined by the determining module according to the measured channel measurement information Hf, the feedback module feeds back the weight range to the base station. Indication information of the information D and the second matrix w;

    When the first matrix P is determined by the determining module according to the measured channel measurement information Hf, when the weight magnitude information D is determined by the determining module according to the base station configuration, the feedback module feeds back the weight range to the base station. Information P and indication information of the second matrix w.
63. A computer readable storage medium storing program instructions when the program instructions are executed The method of any of claims 1-16 can be implemented.
64. A computer readable storage medium storing program instructions that, when executed, implement the method of any of claims 17-31.

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