WO2016008330A1 - 信道信息的量化反馈、数据的预编码方法及装置 - Google Patents

信道信息的量化反馈、数据的预编码方法及装置 Download PDF

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WO2016008330A1
WO2016008330A1 PCT/CN2015/078811 CN2015078811W WO2016008330A1 WO 2016008330 A1 WO2016008330 A1 WO 2016008330A1 CN 2015078811 W CN2015078811 W CN 2015078811W WO 2016008330 A1 WO2016008330 A1 WO 2016008330A1
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information
indication information
cmatrix1
cmatrix2
channel
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PCT/CN2015/078811
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English (en)
French (fr)
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陈艺戬
鲁照华
郁光辉
赵晶
肖华华
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中兴通讯股份有限公司
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Priority to ES15822602T priority Critical patent/ES2804127T3/es
Priority to EP15822602.7A priority patent/EP3171560B1/en
Priority to US15/326,218 priority patent/US10348373B2/en
Publication of WO2016008330A1 publication Critical patent/WO2016008330A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • H04B7/046—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting taking physical layer constraints into account
    • H04B7/0469—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting taking physical layer constraints into account taking special antenna structures, e.g. cross polarized antennas into account
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0417—Feedback systems
    • H04B7/0421—Feedback systems utilizing implicit feedback, e.g. steered pilot signals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • H04B7/0478—Special codebook structures directed to feedback optimisation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621—Feedback content
    • H04B7/0634—Antenna weights or vector/matrix coefficients
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
    • H04L25/03006—Arrangements for removing intersymbol interference
    • H04L25/03343—Arrangements at the transmitter end
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0452—Multi-user MIMO systems

Definitions

  • the present invention relates to the field of communications, and in particular, to a quantization feedback of channel information, a method and apparatus for precoding data.
  • a plurality of antennas are usually used to obtain a higher transmission rate by spatial multiplexing between a transmitting end and a receiving end.
  • An enhanced technical solution is mentioned in the related art with respect to the general spatial multiplexing method.
  • the receiving end feeds back channel information to the transmitting end, and the transmitting end uses some transmitting precoding techniques according to the acquired channel information, thereby greatly improving the transmission performance.
  • MIMO single-user multi-input multi-output
  • MU-MIMO multi-user MIMO
  • the transmitting end and the receiving end jointly save or generate the codebook in real time (the receiving end/transmitting end are the same).
  • the receiving end according to the obtained channel matrix H and according to certain criteria from the codebook space Select a codeword that best matches the channel And the code word
  • the code word number i is fed back to the transmitting end.
  • the codeword sequence number is also referred to as a Precoding Matrix Indicator (PMI);
  • the transmitting end finds the corresponding precoded codeword according to the returned codeword sequence number i.
  • PMI Precoding Matrix Indicator
  • the codebook corresponding to multiple Ranks may be divided into multiple Ranks to quantize the precoding matrix formed by the channel feature vectors under the Rank.
  • a code word with a Rank of N will have N columns. Therefore, the codebook It can be divided into multiple subcodebooks according to the difference of Rank, as shown in Table 1.
  • the codewords are all in the form of a vector, and when the Rank>1, the codewords are in the form of a matrix.
  • the codebook in the LTE protocol is a feedback method using such codebook quantization.
  • the LTE downlink 4 transmit antenna codebook is shown in Table 2.
  • the precoding codebook and the channel information quantization codebook in LTE have the same meaning.
  • the vector can also be viewed as a matrix of dimension 1.
  • I is a unit array, It represents the j-th column vector of matrix W k. It represents j 1, j 2, ..., j n column matrix composed of a matrix of W k.
  • the codebook feedback is enhanced to a certain extent.
  • r is an integer.
  • the difference from the previous 4Tx codebook is that when using the codebook feedback,
  • the codeword in the codebook corresponding to the feedback needs 2 PMI feedbacks to represent its information, which can be generally expressed as shown in Table 3 below.
  • the main change is that a codeword model is defined for each layer of support, and feedback is based on the codeword model.
  • the meaning of the parameters in the model is determined by one or two feedbacks of the feedback, and finally the accurate is obtained.
  • Channel feature vector information is used for precoding.
  • Massive MIMO Massive MIMO
  • 3D MIMO 3D MIMO
  • a large-scale antenna array is configured on the base station side, for example, 16, 32, 64, 128, 256 antennas, and even more antennas.
  • An antenna referred to in this document is generally understood to be a defined antenna port.
  • MU-MIMO technology is used to simultaneously multiplex multiple users at the same frequency.
  • the ratio of the number of antennas to the number of multiplexed users is maintained at about 5-10 times.
  • the correlation coefficient between the channels of any two users is exponentially attenuated as the number of antennas increases, whether it is a strongly correlated channel in the line-of-sight environment or an uncorrelated channel under rich scatter.
  • the correlation coefficients between channels of any two users approach 0, that is, the multi-user corresponding channels are nearly orthogonal.
  • large arrays can bring a very large array gain and diversity gain.
  • dual-polarized antennas are also widely used in massive MIMO. Using a dual-polarized antenna can reduce the size of the antenna by half.
  • the existing codebook feedback model As shown in Table 4, is only utilized. There are some defects in the feedback of the channel characteristic information or the precoding information by the equal quantization model. The main reason for the defect is that the polarization leakage problem actually existing in the channel is not considered when designing the feedback model.
  • the ideal polarization is completely isolated, and the signal fed into a polarized antenna will always have a little bit in another polarized antenna. In the process of electromagnetic wave propagation, polarization is often caused by metal outside the building, which causes polarization leakage.
  • the non-ideal dual-polarization system has complex coupling characteristics.
  • the channel response characteristics of the dual-polarization system are also very complicated. Based on the ideal dual-polarization channel, the polarization leakage is no longer suitable for Massive MIMO, and the feedback method is designed for it. Not very robust in Massive MIMO. Therefore, some existing design considerations may need to be improved and enhanced to be suitable for Massive MIMO with high accuracy requirements.
  • a dual-polarized antenna system has an Mt root transmit antenna and a Mr root receive antenna, wherein Mt/2 transmit antennas are in one polarization direction, and other Mt/2 transmit antennas are in one polarization direction.
  • the Mr/2 transmitting antennas are in one polarization direction, and the other Mr/2 transmitting antennas are in one polarization direction.
  • 1 is a schematic diagram showing the presence of an Mt root transmitting antenna and an Mr root receiving antenna in a dual-polarized antenna system according to the related art. As shown in Figure 1,
  • For the received signal y can be modeled as (1):
  • z is the receiving weight vector of the receiving end Mr dimension
  • f is the unit-norm transmitting precoding vector
  • n is the Gaussian white noise of the Mr dimension, obeys the distribution of CN(0,1)
  • s is the transmitting signal
  • E s (ss H ) ⁇ 1 ⁇ represents SNR.
  • the Hadamard Product representing the matrix, the scene of the non-correlated channel, the Hw is approximately the Nr ⁇ Nt dimension Gaussian channel, and the channel response between each pair of antennas obeys the distribution of CN(0,1).
  • X is a matrix related to XPD (cross-polar discrimination), the expression is (3), and ⁇ indicates that the XPR (cross-polar ratio) is the inverse of XPD.
  • Mr, Mt represents the transceiver antenna, respectively, the assumptions in the prior art A model for analyzing channel feature vectors for 0. Most of the research hypotheses in the paper are also the case of studying the ideal X. When considering that there is no polarization leakage, the feature vector of the channel has the characteristics of block diagonal, for example: v 1 v 2 is a vector of Mt/2, and a is a phase parameter having a modulus value of 1. This conclusion is widely used in feedback design.
  • the model in Table 4 It is based on this model.
  • XPR polarization leakage ratio
  • FIG. 2 is a schematic diagram of the minimum quantization error (chord distance) CDF that does not consider polarization leakage corresponding to 32Tx according to the related art.
  • 3 is a schematic diagram of a minimum quantization error (chord distance) CDF that does not consider polarization leakage corresponding to 64Tx according to the related art.
  • the feedback model is designed without considering polarization leakage.
  • the feedback based on the feedback model is not applicable to Massive MIMO because Massive MIMO is very sensitive to channel information quantization accuracy. Therefore, feedback is provided.
  • the accuracy requirements of the model are also very high.
  • Embodiments of the present invention provide a method for quantifying feedback of channel information, a method for precoding data, and a device, so as to at least solve the problem that the feedback model designed in the related art lacks consideration of polarization leakage.
  • a method for quantitative feedback of channel information is provided.
  • a method for quantitatively feeding channel information includes: receiving a channel measurement pilot signal from a base station; performing channel measurement according to a channel measurement pilot signal, acquiring channel information; and calculating a first matrix (CMatrix1) by using channel information.
  • Second matrix (CMatrix2) where CMatrix1 and CCamrix2 are used for The channel information is quantized or instructed by the base station to perform precoding; the first indication information of CMatrix1 and/or the second indication information of CMatrix2 are fed back to the base station.
  • CMatrix1 is or For the matrix of the model
  • CMatrix2 is or
  • V n , V m , V i and V j are one of the following: Mt/2 line floor (r/2) column vector, Mt/2 line floor (r/2) column orthogonal matrix Mt/2 line floor(r/2)+1 column orthogonal matrix
  • Mt is the number of transmitting antennas
  • floor(r/2) means rounding down r/2
  • r means transmitting layer number information or rank Information
  • a, ⁇ , and ⁇ are all complex numbers.
  • the method further comprises: constructing a third matrix (CMatrix) by using a function F (CMatrix1, CMatrix2, ⁇ , ⁇ ), wherein the CMatrix is used to represent the quantized channel characteristic information or indication
  • CMatrix is used to represent the quantized channel characteristic information or indication
  • the base station performs precoding, ⁇ is the phase, and ⁇ is the real number.
  • ⁇ is a phase parameter determined by the base station and signaled by the higher layer configuration signaling, or ⁇ is third indication information calculated from the channel information and fed back ⁇ to the base station.
  • ⁇ is a proportional parameter determined by the base station and signaled by the higher layer configuration signaling, or ⁇ is fourth indication information calculated according to the channel information and fed back to the base station for ⁇ .
  • CMatrix1 uses the first codebook (CB1) for feedback, wherein the codeword models included in CB1 are or
  • a has a value of 1 and/or j.
  • CMatrix1 is determined by a common indication of a first set (I1) of a plurality of Precoding Indication Indexes (PMIs).
  • I1 a first set of a plurality of Precoding Indication Indexes
  • CMatrix2 uses a second codebook (CB2) for feedback, wherein the codeword models included in CB2 are or
  • ⁇ and ⁇ have a value of 1.
  • CMatrix2 is determined by a common indication of a second set (I2) of a plurality of Precoding Indication Indexes (PMIs).
  • I2 Precoding Indication Indexes
  • At least one identical index is included in I1 and I2.
  • F(CMatrix1, CMatrix2, ⁇ , ⁇ ) CMatrix1+e j ⁇ *f( ⁇ )*CMatrix2, wherein f( ⁇ ) is a function of the independent variable ⁇ .
  • f( ⁇ ) is one of the following: Where q is a real number greater than zero.
  • q 0.5, 1 or 2.
  • a precoding method for data is provided.
  • a precoding method for data includes: receiving an indication information set from a terminal, where the indication information set is one of: first indication information of the first matrix CMatrix1 and second indication of the second matrix CMatrix2 Information, first indication information, second indication information, and third indication information of the phase ⁇ , first indication information, second indication information, third indication information, and fourth indication information of the ratio ⁇ ; when the indication information set includes the first And the second indication information is obtained by acquiring the CMatrix1 by using the first indication information and acquiring the CMatrix2 by using the second indication information; or when the indication information set includes the first indication information, the second indication information, and the third indication information of the phase ⁇ Acquiring CMatrix1 by the first indication information, acquiring CMatrix2 by the second indication information, and acquiring ⁇ by the third indication information; or when the indication information set includes the first indication information, the second indication information, the third indication information, and the fourth indication When the information is obtained, the CMAtrix
  • a method for quantitatively feeding channel information includes: receiving a channel measurement pilot signal from a base station; performing channel measurement according to a channel measurement pilot signal, acquiring channel information; and using channel information to calculate first type information, second Class information and third type information, wherein the first type of information includes: information indicating N vectors u1, u2, ... uN, and the second type of information includes: P weighted amplitude information A 1 , A 2 , ... A P
  • the indication information of the third type includes: indication information of two sets of phase parameters, and the first set of phase parameters is The second set of phase parameters is U1, u2, ... uN, A 1 , A 2 , ...
  • a P Characterizing a form as or The matrix DMatrix2, C, D, E and F are both Hermitian Hermitian matrices of Mt/2 ⁇ Mt/2, Mt is the number of transmitting antennas, and DMatrix1 and DMatrix2 characterize the channel by a pre-agreed function Q (DMatrix1, DMatrix2)
  • the autocorrelation matrix information R or the characteristic information of the channel/precoding information W; the first indication information of the first type information, the second indication information of the second type information, and the third indication information of the third type information are sent to the base station .
  • the precoding method of the data includes: receiving first indication information of the first type information of the terminal, second indication information of the second type information, and third indication information of the third type information, where
  • the first type of information includes: information indicating N vectors u1, u2, ..., uN
  • the second type of information includes: indication information of P weighted amplitude information A 1 , A 2 , ... A P
  • the third type of information includes: Two sets of indications of the phase parameter set, the first set of phase parameters is The second set of phase parameters is U1, u2, ... uN, A 1 , A 2 , ... A P and Through the predefined functions F1 (u1, u2, ...
  • a P Characterizing a form as or The matrix DMatrix2, C, D, E and F are both Hermitian Hermitian matrices of Mt/2 ⁇ Mt/2, Mt is the number of transmitting antennas, and DMatrix1 and DMatrix2 characterize the channel by a pre-agreed function Q (DMatrix1, DMatrix2) Autocorrelation matrix information R or channel characteristic information/precoding information W; acquiring first type information according to the first indication information, acquiring second type information according to the second indication information, and acquiring third type information according to the third indication information; Using the first type of information, the second type of information, and the third type of information, DMatrix1 and DMatrix2 are calculated, and R or W is calculated by Q (DMatrix1, DMatrix2); and data precoding is performed according to R or W.
  • Q Hermitian Hermitian matrices of Mt/2 ⁇ Mt/2
  • Mt is the number of
  • a quantization feedback device for channel information is provided.
  • a quantization feedback device for channel information includes: a receiving module configured to receive a channel measurement pilot signal from a base station; and an acquisition module configured to perform channel measurement according to a channel measurement pilot signal to acquire channel information; a module, configured to calculate a first matrix CMatrix1 and a second matrix CMatrix2 using channel information, wherein CMatrix1 and CMatrix2 are used to quantize channel information or instruct the base station to perform precoding; and the feedback module is configured to feed back a first indication of CMatrix1 to the base station Information and/or second indication of CMatrix2.
  • CMatrix1 is or For the matrix of the model
  • CMatrix2 is or
  • V n , V m , V i and V j are one of the following: Mt/2 line floor (r/2) column vector, Mt/2 line floor (r/2) column orthogonal matrix Mt/2 line floor(r/2)+1 column orthogonal matrix
  • Mt is the number of transmitting antennas
  • floor(r/2) means rounding down r/2
  • r means transmitting layer number information or rank Information
  • a, ⁇ , and ⁇ are all complex numbers.
  • the apparatus further includes: a building module configured to construct a third matrix CMatrix by using a function F (CMatrix1, CMatrix2, ⁇ , ⁇ ), wherein the CMatrix is used to represent the quantized channel characteristic information or to instruct the base station to perform precoding, ⁇ is the phase and ⁇ is the real number.
  • a building module configured to construct a third matrix CMatrix by using a function F (CMatrix1, CMatrix2, ⁇ , ⁇ ), wherein the CMatrix is used to represent the quantized channel characteristic information or to instruct the base station to perform precoding, ⁇ is the phase and ⁇ is the real number.
  • ⁇ is a phase parameter determined by the base station and signaled by the higher layer configuration signaling, or ⁇ is third indication information calculated from the channel information and fed back ⁇ to the base station.
  • ⁇ is a proportional parameter determined by the base station and signaled by the higher layer configuration signaling, or ⁇ is fourth indication information calculated according to the channel information and fed back to the base station for ⁇ .
  • CMatrix1 uses the first codebook CB1 for feedback, wherein the codeword model included in CB1 is or
  • a has a value of 1 and/or j.
  • CMatrix1 is determined by a common indication of a first set I1 consisting of a plurality of precoding index PMIs.
  • CMatrix2 uses the second codebook CB2 for feedback, wherein the codeword models included in CB2 are or
  • ⁇ and ⁇ have a value of 1.
  • CCamrix2 is determined by a common indication of a second set I2 consisting of a plurality of precoding index PMIs.
  • At least one identical index is included in I1 and I2.
  • F(CMatrix1, CMatrix2, ⁇ , ⁇ ) CMatrix1+e j ⁇ *f( ⁇ )*CMatrix2, wherein f( ⁇ ) is a function of the independent variable ⁇ .
  • f( ⁇ ) is one of the following: Where q is a real number greater than zero.
  • q 0.5, 1 or 2.
  • a precoding apparatus for data is provided.
  • the precoding apparatus for data includes: a receiving module, configured to receive an indication information set from the terminal, where the indication information set is one of: first indication information of the first matrix CMatrix1 and a second matrix Second indication information of CMatrix2, first indication information, second indication information, and third indication information of phase ⁇ , first indication information, second indication information, third indication information, and fourth indication information of ratio ⁇ ; acquisition module And when the indication information set includes the first indication information and the second indication information, acquiring CMatrix1 by using the first indication information and acquiring CMatrix2 by using the second indication information; or, when the indication information set includes the first indication information, the second indication And the third indication information of the information and the phase ⁇ , acquiring CMatrix1 by the first indication information, acquiring CMatrix2 by the second indication information, and acquiring ⁇ by the third indication information; or when the indication information set includes the first indication information and the second indication
  • the first indication letter is passed when the information, the third indication information,
  • CMatrix a third matrix CMatrix; or, when the indication information set includes the first indication information, the second indication information, and the third indication information of the phase ⁇ , using the acquired CMatrix1, CMatrix2, ⁇ , and the ⁇ that is predetermined and delivered to the terminal Calculating the CMatrix according to the function F (CMatrix1, CMatrix2, ⁇ , ⁇ ); or, when the indication information set includes the first indication information, the second indication information, the third indication information, and the fourth indication information, adopting the acquired CMatrix1 CMatrix2, ⁇ , and ⁇ are calculated according to the function F (CMatrix1, CMatrix2, ⁇ , ⁇ ) to obtain CMatrix; the precoding module is set to perform data precoding using CMatrix.
  • F CMatrix1, CMatrix2, ⁇ , ⁇
  • a quantization feedback device for channel information includes: a receiving module configured to receive a channel measurement pilot signal from a base station; and an acquisition module configured to perform channel measurement according to a channel measurement pilot signal to acquire channel information; a module, configured to calculate first type information, second type information, and third type information by using channel information, where the first type of information includes: information indicating N vectors u1, u2, ..., uN, and the second type of information includes : P pieces of weighted amplitude information A 1 , A 2 , ... A P indication information, the third type of information includes: two sets of phase parameter sets of indication information, the first set of phase parameter sets is The second set of phase parameters is U1, u2, ...
  • a P Characterizing a form as or The matrix DMatrix2, C, D, E and F are both Hermitian Hermitian matrices of Mt/2 ⁇ Mt/2, Mt is the number of transmitting antennas, and DMatrix1 and DMatrix2 characterize the channel by a pre-agreed function Q (DMatrix1, DMatrix2)
  • the feedback module is configured to set the first indication information of the first type information, the second indication information of the second type information, and the third information of the third type information
  • the indication information is sent to the base station.
  • a precoding apparatus for another data is provided.
  • a precoding apparatus for data includes: a receiving module, configured to receive first indication information of first type information from a terminal, second indication information of second type information, and third information of third type information Instructing information, wherein the first type of information includes: information indicating N vectors u1, u2, ..., uN, and the second type of information includes: indication information of P weighted amplitude information A 1 , A 2 , ... A P ,
  • the three types of information include: indication information of two sets of phase parameters, and the first set of phase parameters is The second set of phase parameters is U1, u2, ... uN, A 1 , A 2 , ... A P and Through the predefined functions F1 (u1, u2, ...
  • a P Characterizing a form as or The matrix DMatrix2, C, D, E and F are both Hermitian Hermitian matrices of Mt/2 ⁇ Mt/2, Mt is the number of transmitting antennas, and DMatrix1 and DMatrix2 characterize the channel by a pre-agreed function Q (DMatrix1, DMatrix2)
  • the obtaining module is configured to acquire the first type information according to the first indication information, acquire the second type information according to the second indication information, and obtain the second type information according to the third indication information
  • the calculation module is configured to calculate DMatrix1 and DMatrix2 by using the first type information, the second type information, and the third type information, and calculate R or W through Q (DMatrix1, DMatrix2); precoding module, setting For data precoding based on R or W.
  • the pilot signal is received by receiving the channel from the base station; the channel measurement is performed according to the channel measurement pilot signal, and the channel information is obtained; and the channel information is used to calculate CMatrix1 and CMatrix2, wherein CMatrix1 and CMatrix2 are used for channel information.
  • FIG. 1 is a schematic diagram showing the presence of an Mt root transmit antenna and an Mr root receive antenna in a dual-polarized antenna system according to the related art
  • FIG. 2 is a schematic diagram of a minimum quantization error (chord distance) CDF that does not consider polarization leakage corresponding to 32Tx according to the related art;
  • FIG. 3 is a schematic diagram of a minimum quantization error (chord distance) CDF that does not consider polarization leakage corresponding to 64Tx according to the related art;
  • FIG. 4 is a flowchart of a method for quantitative feedback of channel information according to an embodiment of the present invention.
  • FIG. 5 is a flowchart of a method of precoding data according to an embodiment of the present invention.
  • FIG. 6 is a flowchart of another method for quantitative feedback of channel information according to an embodiment of the present invention.
  • FIG. 7 is a flowchart of another method of precoding data according to an embodiment of the present invention.
  • FIG. 8 is a structural block diagram of a quantization feedback apparatus for channel information according to an embodiment of the present invention.
  • FIG. 9 is a structural block diagram of a quantization feedback device for channel information according to a preferred embodiment of the present invention.
  • FIG. 10 is a structural block diagram of a precoding apparatus for data according to an embodiment of the present invention.
  • FIG. 11 is a structural block diagram of another quantization feedback device for channel information according to an embodiment of the present invention.
  • FIG. 12 is a structural block diagram of another precoding apparatus for data according to an embodiment of the present invention.
  • FIG. 4 is a flow chart of a method for quantitative feedback of channel information according to an embodiment of the present invention. As shown in FIG. 4, the method may include the following processing steps:
  • Step S402 Receive a channel measurement pilot signal from the base station
  • Step S404 Perform channel measurement according to the channel measurement pilot signal, and acquire channel information.
  • Step S406 Calculate CMatrix1 and CMatrix2 by using channel information, where CMatrix1 and CMatrix2 are used to quantize channel information or instruct the base station to perform precoding;
  • Step S408 The first indication information of CMatrix1 and/or the second indication information of CMatrix2 are fed back to the base station.
  • the feedback model designed in the related art lacks consideration of polarization leakage.
  • the method shown in FIG. 4 is used to solve the problem that the feedback model designed in the related art lacks consideration of polarization leakage, and thus the polarization leakage actually occurs due to the influence of polarization leakage in the feedback design. There are significant performance gains in the case.
  • any row exchange of all the matrices mentioned in the embodiment of the present invention does not affect these.
  • the matrix is essentially the equivalent implementation.
  • the layer mapping can be performed in various different manners. Therefore, all the matrices mentioned in the embodiments of the present invention are simultaneously performed at any time. Column exchange does not affect the essence of these matrices, which is an equivalent implementation.
  • only the directionality problem is concerned. Therefore, for all the matrices multiplied by an arbitrary complex coefficient at the same time, since the direction is not changed, only the transmission power is affected, so It can be considered as an equivalent implementation.
  • CMatrix1 is or For the matrix of the model, CMatrix2 is or It is a matrix of models, and V n , V m , V i , and V j can be, but are not limited to, one of the following:
  • Mt is the number of transmitting antennas
  • floor(r/2) indicates rounding down to r/2
  • r indicates transmission layer number information or rank information
  • a, ⁇ , and ⁇ are both complex numbers.
  • CMatrix1 and CCamtrix2 by using channel information in step S406, the following operations may also be included:
  • Step S1 A third matrix (CMatrix) is constructed by a function F (CMatrix1, CMatrix2, ⁇ , ⁇ ), wherein the CMatrix is used to represent the quantized channel characteristic information or to instruct the base station to perform precoding, ⁇ is a phase, and ⁇ is a real number.
  • F CMatrix1, CMatrix2, ⁇ , ⁇
  • ⁇ is a phase parameter determined by the base station and signaled by the higher layer configuration signaling, or ⁇ is third indication information calculated from the channel information and fed back ⁇ to the base station.
  • ⁇ is a proportional parameter determined by the base station and signaled by the higher layer configuration signaling, or ⁇ is a fourth indication information calculated from the channel information and fed back to the base station.
  • CMatrix1 uses the first codebook (CB1) for feedback, wherein the codeword models included in CB1 are or
  • a has a value of 1 and/or j.
  • CMatrix1 is determined by a common I1 representation of a plurality of PMIs.
  • CMatrix2 uses CB2 for feedback, wherein the codeword models included in CB2 are or
  • alpha and beta have a value of one.
  • CMatrix2 is determined by an I2 common indication consisting of a plurality of PMIs.
  • At least one identical index is included in I1 and I2.
  • F(CMatrix1, CMatrix2, ⁇ , ⁇ ) CMatrix1+e j ⁇ *f( ⁇ )*CMatrix2, wherein f( ⁇ ) is a function of the independent variable ⁇ .
  • f( ⁇ ) can be, but is not limited to, one of the following:
  • q 0.5, 1 or 2.
  • FIG. 5 is a flowchart of a method of precoding data according to an embodiment of the present invention. As shown in FIG. 5, the method may include the following processing steps:
  • Step S502 Receive an indication information set from the terminal, where the indication information set is one of: first indication information of the first matrix CMatrix1 and second indication information of the second matrix CMatrix2, first indication information, second indication Information and third indication information of the phase ⁇ , first indication information, second indication information, third indication information, and fourth indication information of the ratio ⁇ ;
  • Step S504 When the indication information set includes the first indication information and the second indication information, acquiring CMatrix1 by using the first indication information and obtaining CMatrix2 by using the second indication information; or, when the indication information set includes the first indication information, the second indication And the third indication information of the information and the phase ⁇ , acquiring CMatrix1 by the first indication information, acquiring CMatrix2 by the second indication information, and acquiring ⁇ by the third indication information; or when the indication information set includes the first indication information and the second indication When the information, the third indication information, and the fourth indication information are obtained, acquiring CMatrix1 by using the first indication information, acquiring CMatrix2 by the second indication information, acquiring ⁇ by the third indication information, and acquiring ⁇ by the fourth indication information;
  • Step S506 When the indication information set includes the first indication information and the second indication information, adopting the acquired CMatrix1, CMatrix2, and ⁇ and ⁇ that are predetermined and delivered to the terminal according to a function F (CMatrix1, CCamrix2) agreed in advance with the terminal.
  • CMatrix1, CCamrix2 a function F (CMatrix1, CCamrix2) agreed in advance with the terminal.
  • ⁇ , ⁇ calculates a third matrix CMatrix; or, when the indication information set includes the first indication information, the second indication information, and the third indication information of the phase ⁇ , using the acquired CMatrix1, CMatrix2, ⁇ , and predetermined
  • the ⁇ that is sent to the terminal is calculated according to the function F (CMatrix1, CMatrix2, ⁇ , ⁇ ) to obtain CMatrix; or, when the indication information set includes the first indication information, the second indication information, the third indication information, and the fourth indication information, Calculating CMatrix according to function F(CMatrix1, CMatrix2, ⁇ , ⁇ ) using acquired CMatrix1, CMatrix2, ⁇ , and ⁇ ;
  • Step S508 Data precoding is performed by using CMatrix.
  • FIG. 6 is a flowchart of another method for quantitative feedback of channel information according to an embodiment of the present invention. As shown in FIG. 6, the method may include the following processing steps:
  • Step S602 Receive a channel measurement pilot signal from a base station.
  • Step S604 Perform channel measurement according to the channel measurement pilot signal, and acquire channel information.
  • Step S606 The first type information, the second type information, and the third type information are calculated by using the channel information, where the first type of information includes: information indicating N vectors u1, u2, ..., uN, and the second type of information includes: The indication information of the P weighted amplitude information A 1 , A 2 , ... A P , the third type of information includes: indication information of two sets of phase parameter sets, and the first set of phase parameter sets is The second set of phase parameters is U1, u2, ... uN, A 1 , A 2 , ... A P and Through the predefined functions F1 (u1, u2, ... uN, A 1 , A 2 , ...
  • a P Characterizing a form as or Symmetric matrices DMatrix1, u1, u2, ... uN, A 1 , A 2 , ... A P and Through the predefined function F2 (u1, u2, ... uN, A 1 , A 2 , ...
  • a P Characterizing a form as or The matrix DMatrix2, C, D, E and F are both Hermitian Hermitian matrices of Mt/2 ⁇ Mt/2, Mt is the number of transmitting antennas, and DMatrix1 and DMatrix2 characterize the channel by a pre-agreed function Q (DMatrix1, DMatrix2) Autocorrelation matrix information R or channel characteristic information / precoding information W;
  • Step S608 Send the first indication information of the first type information, the second indication information of the second type information, and the third indication information of the third type information to the base station.
  • FIG. 7 is a flow chart of another method of precoding data according to an embodiment of the present invention. As shown in FIG. 7, the method may include the following processing steps:
  • Step S702 Receive first indication information of the first type information of the terminal, second indication information of the second type information, and third indication information of the third type information, where the first type of information includes: indicating N vectors Information of u1, u2, ..., uN, the second type of information includes: indication information of P weighted amplitude information A 1 , A 2 , ... A P , and the third type of information includes: indication information of two sets of phase parameter sets, A set of phase parameters is The second set of phase parameters is U1, u2, ... uN, A 1 , A 2 , ... A P and Through the predefined functions F1 (u1, u2, ... uN, A 1 , A 2 , ...
  • a P Characterizing a form as or Symmetric matrices DMatrix1, u1, u2, ... uN, A 1 , A 2 , ... A P and Through the predefined function F2 (u1, u2, ... uN, A 1 , A 2 , ...
  • a P Characterizing a form as or The matrix DMatrix2, C, D, E and F are both Hermitian Hermitian matrices of Mt/2 ⁇ Mt/2, Mt is the number of transmitting antennas, and DMatrix1 and DMatrix2 characterize the channel by a pre-agreed function Q (DMatrix1, DMatrix2) Autocorrelation matrix information R or channel characteristic information / precoding information W;
  • Step S704 Acquire first type information according to the first indication information, acquire second type information according to the second indication information, and acquire third type information according to the third indication information;
  • Step S706 Calculate DMatrix1 and DMatrix2 by using the first type information, the second type information, and the third type information, and calculate R or W by Q (DMatrix1, DMatrix2);
  • Step S708 Perform data precoding according to R or W.
  • H H H expression is as follows
  • Both are block diagonal matrices, where For the Block diagonal matrix, Both are off-Block diagonal matrices.
  • Method one feedback each matrix
  • the feature vectors are weighted and combined to obtain the feature vector of H H H .
  • Block diagonal matrix whose feature vector model is For the inverse block diagonal matrix
  • the eigenvector model should be Weighted combination factor
  • the eigenvalue is related, and its eigenvalue is statistically related to the size of ⁇ , which is a function of ⁇ or a matrix of feedback parts.
  • the feature vectors are weighted and combined to obtain an approximate H H H feature vector.
  • Block diagonal matrix whose feature vector model is For the inverse block diagonal matrix, the eigenvector model should be Weighted combination factor
  • the eigenvalue is related, and its eigenvalue is statistically related to the size of ⁇ , which is a function of ⁇ or a matrix of feedback parts.
  • the feature vectors are weighted and combined to obtain an approximate H H H feature vector.
  • Block diagonal matrix whose feature vector model is For the inverse block diagonal matrix, the eigenvector model should be Weighted combination factor
  • the eigenvalues are related, and their eigenvalues are statistically related to the size of ⁇ , which is a function of ⁇ .
  • Mode 2 Since X1-X6 are all channel responses caused by the same multipath components, the same information can be used for the magnitude of multipath, the only difference being: each multipath in weighted combination
  • the upper phase is different because of the different polarization leakage characteristics of the polarization direction. Therefore, a set of amplitude information and a set of phase information feedback methods can be considered to construct respectively. Give feedback.
  • the base station transmits a channel measurement pilot, and takes the Nt root transmission antenna as an example.
  • Nt/2 antennas exist in two mutually perpendicular polarization directions.
  • the base station transmits a set of CSI-RS pilots with a total of Nt ports.
  • the terminal receives the pilot configuration information sent by the base station, and performs detection on the corresponding resource location to obtain information of the channel matrix H of the Nr ⁇ Nt dimension.
  • Nr is the number of receiving antennas.
  • the terminal and the base station may pre-agreed to use the following function to characterize the feature vector information or precoding information of the channel matrix.
  • Feature vector or best precoding W F(CMatrix1, CMatrix2, ⁇ , ⁇ );
  • the above function f( ⁇ ) may be one of the following:
  • q is a real number greater than 0.
  • the terminal only needs to calculate and feed back the optimal CMatrix1, CMatrix2, ⁇ , ⁇ information according to the measured H information.
  • the method is to simulate a receiving process according to the receiving weight value, by traversing parameters such as CMatrix1, CMatrix2, ⁇ , ⁇ , etc.
  • this criterion can be to maximize the signal to interference and noise ratio, minimize the error, and so on.
  • the best W under the selected criterion can be characterized by the agreed function, and the base station can perform data precoding processing based on W.
  • CMatrix1 may be one of the following codeword in the codebook, the terminal based on the codebook and codeword selection feedback, i 1 i 2 indicates a common model
  • the codewords, i 1 i 2 form an index set I1, respectively, requiring 4 bits to indicate signaling feedback, where v m v m' is a vector of Mt/2 dimensions, and the specific model can be determined according to the correlation of the channel and the shape of the antenna array. . For example, if you consider comparing the relevant 2D MIMO (line array antenna arrangement, only support beamforming in vertical or horizontal dimension), then v m , v m ' can be DFT vector, the mathematical form is:
  • v m [1 e j2 ⁇ m/32 ... e j(Nt-2) ⁇ m/32 ] T
  • v m' [1 e j2 ⁇ m'/32 ... e j(Nt-2) ⁇ m'/32 ] T ;
  • v m , v m ' can be in the form of Kroneck Kronecker products of two DFT vectors, if non-correlated channels are considered, Then v m , v m ' can be a codeword in a Mt/2-dimensional Gransmannian codebook.
  • the number of codewords can be determined based on feedback accuracy requirements. As shown in Table 5,
  • CMatrix2 can fit models from all code characters Codebook selected, for example: CMatrix2 may be one of the following codeword in the codebook, the terminal based on the codebook and codeword selection feedback, i 3 i 4 indicates a common model
  • the codewords, i 3 i 4 form an index set I2, respectively, requiring 3 bits to indicate signaling feedback, where v q v q ' is a vector of Mt/2 dimensions, and the specific model can be determined according to channel correlation, 2D or 3D MIMO. For example, if you consider comparing the relevant 2D MIMO (line array antenna arrangement, only support beamforming in vertical or horizontal dimension), then v q v q ' can be a DFT vector, the mathematical form is:
  • v q [1 e j2 ⁇ q/32 ... e j(Nt-2) ⁇ q/32 ] T
  • v q' [1 e j2 ⁇ q'/32 ... e j(Nt-2) ⁇ q'/32 ] T ;
  • v q v q ' can be the Kroneck product form of two DFT vectors, if considering non-correlated channels, then v q v q ' Can be a codeword in a Mt/2-dimensional Gransmannian codebook.
  • the number of codewords can be determined according to the feedback accuracy requirement, but the sum of the feedback overheads of i 3 i 4 is generally smaller than the sum of the feedback overheads of i 1 i 2 . As shown in Table 6,
  • the rank is 4 or the number of transport layers is 4.
  • CMatrix1 can be a codeword in the following codebook, and the terminal performs codeword selection and feedback based on the codebook. As shown in Table 7,
  • the index set I1 may include: i 1 i 2 , which requires 2 bits respectively, and 3 bits indicate signaling feedback, where v m and v m ' are Mt/2-dimensional vectors, which may be determined according to channel correlation, 2D or 3D MIMO.
  • Model for example: If you consider comparing the relevant 2D MIMO (line array antenna arrangement, only support vertical or horizontal dimension beamforming), then v m , v m ' can be DFT vector, if considering 3D MIMO (matrix antenna row Cloth, which supports beamforming in two dimensions of vertical horizontality, then v m , v m ' can be the Kroneck product form of two DFT vectors. If considering non-correlated channels, then v m , v m ' can be an Mt/ The codeword in the 2-dimensional Gransmannian codebook. The number of codewords can be determined based on feedback accuracy requirements.
  • CMatrix2 can be a codeword in the following codebook, and the terminal performs codeword selection and feedback based on the codebook. As shown in Table 8,
  • the index set I2 may include: i 3 i 4 , which requires 2 bits to indicate signaling feedback, where v m1 , v m2 , v m1 ' , v m2 ' are Mt/2-dimensional vectors, which may be based on channel correlation, 2D or 3D MIMO determines its specific model.
  • v m1 , v m2 , v m1 ' , v m2 ' can be DFT vectors
  • 3D is considered MIMO (matrix antenna arrangement, supporting beamforming in two dimensions of vertical horizontal)
  • v m1 , v m2 , v m1 ' , v m2 ' can be the Kroneck product form of two DFT vectors, if considering non-correlated channels.
  • v m1 , v m2 , v m1 ' , v m2 ' can be a codeword in a Mt/2-dimensional Gransmannian codebook.
  • the number of codewords can be determined according to the feedback accuracy requirement, but the sum of the feedback overheads of i 3 i 4 is generally smaller than the sum of the feedback overheads of i 1 i 2 .
  • the terminal needs to calculate the phase information ⁇ , the proportional information ⁇ , and the phase information ⁇ can be characterized by e j ⁇ .
  • e j ⁇ can be quantized by a codebook, for example: 2bit codebook ⁇ 1j -1 -j ⁇ or 3bit codebook ⁇ 1 j -1 -j q0 q1 q2 q3 ⁇ , where
  • ⁇ can also be quantized with a codebook, for example: [-4dB, -5dB-6dB, -8dB].
  • the terminal After calculating the above CMatrix1, CMatrix2, ⁇ , and ⁇ information, the terminal feeds back index information indicating the information on the uplink channel. All the codebooks are stored together at the transceiver end. Therefore, after receiving the indication information, the base station can find the corresponding CMatrix1, CMatrix2, ⁇ , ⁇ information according to the same codebook, and then according to the previously agreed function F ( CMatrix1, CMatrix2, ⁇ , ⁇ ) obtains feature vector information or precoding information CCamrix, that is, W selected by the terminal.
  • F CMatrix1, CMatrix2, ⁇ , ⁇
  • the base station can perform precoding using the W.
  • the base station transmits a channel measurement pilot, and takes the Nt root transmission antenna as an example.
  • Nt/2 antennas exist in two mutually perpendicular polarization directions.
  • the base station transmits a set of CSI-RS pilots with a total of Nt ports.
  • the terminal obtains the pilot configuration information sent by the base station, and performs detection on the corresponding resource location to obtain information of the channel matrix H of the Nr ⁇ Nt dimension.
  • Nr is the number of receiving antennas.
  • the terminal and the base station pre-agreed to use the following function to characterize the feature vector information or precoding information of the channel matrix.
  • Feature vector/best precoding W F(CMatrix1, CMatrix2, ⁇ , ⁇ );
  • the above function f( ⁇ ) may be one of the following:
  • q is a real number greater than 0.
  • the terminal only needs to calculate and feed back the optimal CMatrix1, CMatrix2, ⁇ , ⁇ information according to the measured H information.
  • the method is to simulate a receiving process according to the receiving weight value, by traversing parameters such as CMatrix1, CMatrix2, ⁇ , ⁇ , etc.
  • this criterion can be to maximize the signal to interference and noise ratio, minimize the error, and so on.
  • the best W under the selected criterion can be characterized by the agreed function, and the base station can perform data precoding processing based on W.
  • CMatrix1 may be one of the following codeword in the codebook, the terminal based on the codebook and codeword selection feedback, i 1 i 2, indicating a common model
  • the codewords, i 1 i 2 form an index set I1, which respectively require 4 bits, 3 bits indicate signaling feedback, where v m v m' is a vector of Mt/2 dimensions, which can be determined according to the correlation of the channel and the shape of the antenna array.
  • Specific model For example, if you consider comparing the relevant 2D MIMO (line array antenna arrangement, only support beamforming in vertical or horizontal dimension), then v m , v m ' can be DFT vector, the mathematical form is:
  • v m [1 e j2 ⁇ m/32 ... e j(Nt-2) ⁇ m/32 ] T
  • v m' [1 e j2 ⁇ m'/32 ... e j(Nt-2) ⁇ m'/32 ] T ;
  • v m , v m ' can be in the form of Kroneck Kronecker products of two DFT vectors, if non-correlated channels are considered, Then v m , v m ' can be a codeword in a Mt/2-dimensional Gransmannian codebook.
  • the number of codewords can be determined based on feedback accuracy requirements. As shown in Table 9,
  • CMatrix2 can fit models from all code characters Codebook selected, for example: CMatrix2 may be one of the following codeword in the codebook, the terminal based on the codebook and codeword selection feedback, i 3 i 4 indicates a common model
  • the codewords, i 3 i 4 form an index set I2, respectively requiring 3 bits, 2 bits indicating signaling feedback, where v q v q ' is a Mt/2-dimensional vector, which can be determined according to channel correlation, 2D or 3D MIMO Specific model. For example, if you consider comparing the relevant 2D MIMO (line array antenna arrangement, only support beamforming in vertical or horizontal dimension), then v q v q ' can be DFT vector, the mathematical form is:
  • v q [1 e j2 ⁇ q/32 ... e j(Nt-2) ⁇ q/32 ] T
  • v q' [1 e j2 ⁇ q'/32 ... e j(Nt-2) ⁇ q'/32 ] T
  • v q' [1 e j2 ⁇ q'/32 ... e j(Nt-2) ⁇ q'/32 ] T
  • the rank is 4 or the number of transport layers is 4.
  • CMatrix1 can be a codeword in the following codebook, and the terminal performs codeword selection and feedback based on the codebook. As shown in Table 11,
  • the index set I2 may include: i 1 i 2 , which requires 3 bits respectively, and 2 bits indicate signaling feedback, where v m and v m ' are Mt/2-dimensional vectors, which may be determined according to channel correlation, 2D or 3D MIMO. model.
  • v m , v m ' can be DFT vectors
  • 3D MIMO matrix antenna arrangement, Supporting beamforming in two dimensions of vertical horizontality
  • v m , v m ' can be the Kroneck product form of two DFT vectors
  • v m , v m ' can be an Mt/2 dimension if non-correlated channels are considered.
  • the codeword in the Gransmannian codebook The number of codewords can be determined based on feedback accuracy requirements.
  • CMatrix2 can be a codeword in the following codebook, and the terminal performs codeword selection and feedback based on the codebook. As shown in Table 12,
  • the index set I2 may include: an index i 3 i 4 , which requires 2 bits to indicate signaling feedback, where v m1 , v m2 , v m1 ' , v m2 ' are Mt/2-dimensional vectors, which may be based on channel correlation, 2D. Or 3D MIMO determines its specific model.
  • v m1 , v m2 , v m1 ' , v m2 ' can be DFT vectors
  • 3D is considered MIMO (matrix antenna arrangement, supporting beamforming in two dimensions of vertical horizontal)
  • v m1 , v m2 , v m1 ' , v m2 ' can be the Kroneck product form of two DFT vectors, if considering non-correlated channels.
  • v m1 , v m2 , v m1 ' , v m2 ' can be a codeword in a Mt/2-dimensional Gransmannian codebook.
  • the number of code words may be determined based on feedback accuracy requirements, but in general index set I2 (i 3 i 4) and the feedback overhead is less than the index set of I1 (i 1 i 2) and of feedback overhead.
  • the terminal needs to calculate the phase information ⁇ , the proportional information ⁇ , and the phase information ⁇ can be characterized by e j ⁇ .
  • e j ⁇ can be quantized by a codebook, for example: 2bit codebook ⁇ 1 j -1 -j ⁇ or 3bit codebook ⁇ 1 j -1 -j q0 q1 q2 q3 ⁇ , where
  • ⁇ can also be quantized with a codebook, for example: [-4dB, -5dB-6dB, -8dB].
  • the terminal After calculating the above CMatrix1, CMatrix2, ⁇ , and ⁇ information, the terminal feeds back index information indicating the information on the uplink channel. All the codebooks are stored together at the transceiver end. Therefore, after receiving the indication information, the base station can find the corresponding CMatrix1, CMatrix2, ⁇ , ⁇ information according to the same codebook, and then according to the pre-agreed function F. (CMatrix1, CMatrix2, ⁇ , ⁇ ) obtains feature vector information or precoding information CCamrix, that is, W selected by the terminal.
  • the base station can perform precoding using the W.
  • the ratio ⁇ may be a value pre-configured by the base station to the terminal.
  • the function F (CMatrix1, CMatrix2, ⁇ , ⁇ ) is actually reduced to F (CMatrix1, CCamrix2, ⁇ ).
  • the terminal can consider the phase ⁇ and/or the ratio ⁇ as a known variable when selecting the optimal other parameters, without calculation and feedback.
  • F CMatrix1, CMatrix2, ⁇
  • F CMatrix1, CMatrix2, ⁇
  • F CMatrix1, CCamrix2
  • the base station When the base station obtains the CMatrix by the function F, the base station directly uses the same known variable phase ⁇ and/or ratio ⁇ as the terminal.
  • the feedback i 1 or i 3 can actually know the information of the two indexes i 1 and i 3 .
  • the base station transmits a channel measurement pilot, and takes the Nt root transmission antenna as an example, and has Nt/2 antennas in two mutually perpendicular polarization directions.
  • the base station transmits a set of CSI-RS pilots for a total of Nt ports.
  • the terminal obtains the sending by the base station
  • the pilot configuration information is detected at a corresponding resource location to obtain information of the channel matrix H of the Nr x Nt dimension.
  • Nr is the number of receiving antennas.
  • the terminal and the base station pre-agreed to use the following function to characterize the feature vector information or precoding information of the channel matrix.
  • the terminal can calculate based on the measured channel information:
  • the terminal and the base station pre-agreed to use the following model to characterize the feature vector information of DMatrix1.
  • the terminal and the base station pre-agreed to use the following model to characterize the feature vector information of DMatrix2,
  • a is a pre-agreed fixed value of any of 1, -1, j, -j or calculated based on channel information
  • N is a fixed value, such as 2, 3 or 4, or
  • the base station performs signaling configuration or the terminal determines according to channel information.
  • the above model can be multiplied by a complex scalar in a fixed manner to indicate that the eigenvector direction information is unchanged without affecting the information it contains. Normalization processing can be performed on the base station side.
  • the terminal selects the best u 1 ... u N , A 1 ... A N and the best ⁇ 1 ... ⁇ N in the above model according to the channel matrix of the Nr ⁇ Nt dimension. The value is fed back to the base station.
  • a 1 ... A N can perform wideband feedback and long-term feedback, and ⁇ 1 ... ⁇ N perform sub-band feedback and short-time feedback.
  • the base station according to the received A 1 ... A N , u 1 ... u N and ⁇ 1 ... ⁇ N ,
  • the information is constructed according to the agreed model, and the eigenvalue information of DMatrix1 and DMatrix2 can be obtained according to the coefficients extracted when the matrix is normalized.
  • the base station can reconstruct DMatrix1 and DMatrix2, and then combine the ⁇ pass function Q(DMatrix1, DMatrix2, ⁇ ): Information about H H H can be obtained.
  • the above function f( ⁇ ) may be one of the following:
  • q is a real number greater than 0.
  • the downlink channel precoding can be calculated according to H H H .
  • the base station transmits a channel measurement pilot, and takes the Nt root transmission antenna as an example, and has Nt/2 antennas in two mutually perpendicular polarization directions.
  • the base station transmits a set of CSI-RS pilots for a total of Nt ports.
  • the terminal obtains the pilot configuration information sent by the base station, and performs detection on the corresponding resource location to obtain information of the channel matrix H of the Nr ⁇ Nt dimension.
  • Nr is the number of receiving antennas.
  • the terminal and the base station pre-agreed to use the following function to characterize the feature vector information or precoding information of the channel matrix.
  • the terminal calculates based on the measured channel information:
  • the terminal and the base station pre-agreed to use the following model to characterize the feature vector information of DMatrix1.
  • the terminal and the base station pre-agreed to use the following model to characterize the feature vector information of DMatrix2,
  • a is a pre-agreed fixed value of any of 1, -1, j, -j or calculated according to channel information
  • N is a fixed value, for example, 2, 3 or 4, and may also be used by the base station.
  • the signaling configuration is performed or the terminal determines based on the channel information.
  • the above model can be multiplied by a complex scalar in a fixed manner to indicate that the direction information of the feature vector is unchanged without affecting the information it contains. Normalization processing can be performed on the base station side.
  • the terminal may select the best u 1 ... u N , A 1 ... A N and the optimal ⁇ 1 ... ⁇ N in the above model according to the channel matrix of the Nr ⁇ Nt dimension.
  • the value is fed back to the base station.
  • u 1 ... u N , A 1 ... A N can perform wideband feedback and long-term feedback, and ⁇ 1 ... ⁇ N perform sub-band feedback and short-time feedback.
  • the base station according to the received A 1 ... A N , u 1 ... u N and ⁇ 1 ... ⁇ N , Information, and constructing the DMatrix1 feature vector according to the agreed model, and obtaining the feature value information of DMatrix1 and DMatrix2 according to the coefficients extracted during the above matrix normalization process.
  • the base station can reconstruct DMatrix1 and DMatrix2, and then combine the ⁇ pass function Q(DMatrix1, DMatrix2, ⁇ ): Information about H H H can be obtained.
  • the above function f( ⁇ ) is one of the following:
  • q is a real number greater than 0.
  • the downlink channel precoding can be calculated according to H H H .
  • FIG. 8 is a structural block diagram of a quantization feedback apparatus for channel information according to an embodiment of the present invention.
  • the quantization feedback device of the channel information may include: a receiving module 80 configured to receive a channel measurement pilot signal from the base station; and an obtaining module 82 configured to perform channel measurement according to the channel measurement pilot signal, and obtain Channel information; a calculation module 84, configured to calculate a first matrix CMatrix1 and a second matrix CMatrix2 using channel information, wherein CMatrix1 and CMatrix2 are used to quantize channel information or instruct the base station to perform precoding; and the feedback module 86 is configured to The first indication information of CMatrix1 and/or the second indication information of CMatrix2 are fed back.
  • the device shown in FIG. 8 is used to solve the problem that the feedback model designed in the related art lacks consideration of polarization leakage, and thus the polarization leakage actually occurs due to the influence of polarization leakage in the feedback design. There are significant performance gains in the case.
  • CMatrix1 is or For the matrix of the model, CMatrix2 is or It is a matrix of models, and V n , V m , V i , and V j can be, but are not limited to, one of the following:
  • Mt is the number of transmitting antennas
  • floor(r/2) indicates rounding down to r/2
  • r indicates transmission layer number information or rank information
  • a, ⁇ , and ⁇ are both complex numbers.
  • the apparatus may further include: a construction module 88 configured to construct a third matrix CMatrix by a function F (CMatrix1, CMatrix2, ⁇ , ⁇ ), wherein the CMatrix is used to represent the quantized channel characteristics
  • CMatrix1, CMatrix2, ⁇ , ⁇ CMatrix1, CMatrix2, ⁇ , ⁇
  • ⁇ is a phase parameter determined by the base station and signaled by the higher layer configuration signaling, or ⁇ is third indication information calculated from the channel information and fed back ⁇ to the base station.
  • ⁇ is a proportional parameter determined by the base station and signaled by the higher layer configuration signaling, or ⁇ is a fourth indication information calculated from the channel information and fed back to the base station.
  • CMatrix1 uses the first codebook (CB1) for feedback, wherein the codeword models included in CB1 are or
  • a has a value of 1 and/or j.
  • CMatrix1 is determined by a common I1 representation of a plurality of PMIs.
  • CMatrix2 uses CB2 for feedback, wherein the codeword models included in CB2 are or
  • alpha and beta have a value of one.
  • CMatrix2 is determined by an I2 common indication consisting of a plurality of PMIs.
  • At least one identical index is included in I1 and I2.
  • F(CMatrix1, CMatrix2, ⁇ , ⁇ ) CMatrix1+e j ⁇ *f( ⁇ )*CMatrix2, wherein f( ⁇ ) is a function of the independent variable ⁇ .
  • f( ⁇ ) can be, but is not limited to, one of the following:
  • q 0.5, 1 or 2.
  • FIG. 10 is a block diagram showing the structure of a precoding apparatus for data according to an embodiment of the present invention.
  • the precoding apparatus of the data may include: a receiving module 100, configured to receive an indication information set from the terminal, where the indication information set is one of: first indication information of the first matrix CMatrix1 and Second indication information of the second matrix CMatrix2, first indication information, second indication information, and third indication information of the phase ⁇ , first indication information, second indication information, third indication information, and fourth indication information of the ratio ⁇
  • the obtaining module 102 is configured to: when the indication information set includes the first indication information and the second indication information, acquire CMatrix1 by using the first indication information, and acquire CMatrix2 by using the second indication information; or when the indication information set includes the first indication information And the second indication information of the second indication information and the phase ⁇ , acquiring CMatrix1 by the first indication information, acquiring CMatrix2 by the second indication information, and acquiring ⁇ by the third indication
  • the quantization feedback device of the channel information may include: a receiving module 110 configured to receive a channel measurement pilot signal from the base station; and an obtaining module 112 configured to perform channel measurement according to the channel measurement pilot signal, and obtain The channel information is calculated.
  • the calculation module 114 is configured to calculate the first type information, the second type information, and the third type information by using the channel information, where the first type of information includes: information indicating the N vectors u1, u2, ..., uN, The second type of information includes: indication information of P weighted amplitude information A 1 , A 2 , . . .
  • a P and the third type of information includes: indication information of two sets of phase parameter sets, and the first set of phase parameter sets is The second set of phase parameters is U1, u2, ... uN, A 1 , A 2 , ... A P and Through the predefined functions F1 (u1, u2, ... uN, A 1 , A 2 , ... A P , Characterizing a form as or Symmetric matrices DMatrix1, u1, u2, ... uN, A 1 , A 2 , ... A P and Through the predefined function F2 (u1, u2, ... uN, A 1 , A 2 , ...
  • a P Characterizing a form as or The matrix DMatrix2, C, D, E and F are both Hermitian Hermitian matrices of Mt/2 ⁇ Mt/2, Mt is the number of transmitting antennas, and DMatrix1 and DMatrix2 characterize the channel by a pre-agreed function Q (DMatrix1, DMatrix2)
  • the autocorrelation matrix information R or the characteristic information of the channel/precoding information W; the feedback module 116 is configured to set the first indication information of the first type information, the second indication information of the second type information, and the third type information
  • the three indication information is sent to the base station.
  • FIG. 12 is a structural block diagram of another precoding apparatus for data according to an embodiment of the present invention.
  • the precoding apparatus of the data may include: a receiving module 120, configured to receive first indication information of the first type information from the terminal, second indication information of the second type information, and third type information.
  • the third indication information wherein the first type of information comprises: information indicating N vectors u1, u2, ... uN, and the second type of information includes: indication of P weighted amplitude information A 1 , A 2 , ... A P Information, the third type of information includes: indication information of two sets of phase parameters, and the first set of phase parameters is The second set of phase parameters is U1, u2, ... uN, A 1 , A 2 , ...
  • a P Characterizing a form as or The matrix DMatrix2, C, D, E and F are both Hermitian Hermitian matrices of Mt/2 ⁇ Mt/2, Mt is the number of transmitting antennas, and DMatrix1 and DMatrix2 characterize the channel by a pre-agreed function Q (DMatrix1, DMatrix2)
  • the obtaining module 122 is configured to acquire the first type information according to the first indication information, acquire the second type information according to the second indication information, and obtain the second type information according to the third indication information Obtaining a third type of information;
  • the calculating module 124 is configured to calculate DMatrix1 and DMatrix2 by using the first type information, the second type information, and the third type information, and calculate R or W through Q (DMatrix1, DMatrix2);
  • the precoding module 126 set to perform
  • modules or steps of the present invention described above can be implemented by a general-purpose computing device that can be centralized on a single computing device or distributed across multiple computing devices.
  • they may be implemented by program code executable by the computing device such that they may be stored in the storage device by the computing device and, in some cases, may be different from this
  • the steps shown or described are performed sequentially, or they are separately fabricated into individual integrated circuit modules, or a plurality of modules or steps thereof are fabricated into a single integrated circuit module.
  • the invention is not limited to any specific combination of hardware and software.
  • the method for the quantization feedback of the channel information and the precoding method of the data provided by the embodiment of the present invention have the following beneficial effects: the feedback design provided by the embodiment of the present invention can exist in the case where the polarization leakage actually occurs. Significant performance gains.

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Abstract

本发明公开了一种信道信息的量化反馈、数据的预编码方法及装置，在上述方法中，接收来自于基站的信道测量导频信号；根据信道测量导频信号进行信道测量，获取信道信息；采用信道信息计算CMatrix1和CMatrix2，其中，CMatrix1和CMatrix2用于对信道信息进行量化或指示基站进行预编码；向基站反馈CMatrix1的第一指示信息和/或CMatrix2的第二指示信息。根据本发明提供的技术方案，进而由于在反馈设计中考虑了极化泄露产生的影响，因此在实际发生极化泄露的情况下存在显著的性能增益。

Description

信道信息的量化反馈、数据的预编码方法及装置 技术领域
本发明涉及通信领域，具体而言，涉及一种信道信息的量化反馈、数据的预编码方法及装置。
背景技术
在无线通信系统中，通常发送端和接收端之间通过采取空间复用的方式，使用多根天线来获取更高的传输速率。相对于一般的空间复用方法，相关技术中提到了一种增强的技术方案。该方案是由接收端向发送端反馈信道信息，而发送端根据获取到的信道信息使用一些发射预编码技术，以此来大幅提高传输性能。对于单用户多输入多输出(Multi-input Multi-output，简称为MIMO)，直接使用信道特征矢量信息进行预编码；而对于多用户MIMO(MU-MIMO)，则需要更加准确的信道信息。
在第四代移动通信技术(4G)的一些技术例如：第三代合作伙伴计划(3GPP)长期演进(LTE)技术以及国际电信联盟(ITU)802.16m标准规范中，信道信息的反馈主要是利用较简单的单一码本的反馈方法，而MIMO的发射预编码技术的性能更依赖于其中码本反馈的准确度。基于码本的信道信息量化反馈的基本原理简要介绍如下：假设有限反馈信道容量为Bbps/Hz，那么，可用的码字的个数为N＝2B个。假设信道矩阵H的特征矢量空间经过量化构成码本空间
Figure PCTCN2015078811-appb-000001
发射端与接收端共同保存或实时产生此码本(接收端/发射端相同)。接收端根据获得的信道矩阵H，并按照一定准则从码本空间
Figure PCTCN2015078811-appb-000002
中选择一个与信道最匹配的码字
Figure PCTCN2015078811-appb-000003
并将该码字
Figure PCTCN2015078811-appb-000004
的码字序号i反馈至发射端。这里，码字序号也称为预编码矩阵指示符(Precoding Matrix Indicator，简称为PMI)；发射端根据反馈回的码字序号i找到相应的预编码的码字
Figure PCTCN2015078811-appb-000005
从而获得信道信息，其中，
Figure PCTCN2015078811-appb-000006
表示信道的特征矢量信息。通常而言，
Figure PCTCN2015078811-appb-000007
可以被划分为多个Rank(秩)对应的码本，每个Rank下会对应多个码字来量化该Rank下信道特征矢量构成的预编码矩阵。一般来说，Rank为N时的码字都会有N列。因此，码本
Figure PCTCN2015078811-appb-000008
可以按照Rank的不同分为多个子码本，如表1所示。
表1
Figure PCTCN2015078811-appb-000009
Figure PCTCN2015078811-appb-000010
其中，Rank＝1时码字均为矢量形式，而在Rank>1时码字均为矩阵形式。LTE协议中的码本即是采用此种码本量化的反馈方法，LTE下行4发射天线码本如表2所示，实际上LTE中预编码码本和信道信息量化码本含义是一样的。在下文中，为了统一起见，矢量也可以看成一个维度为1的矩阵。
表2
Figure PCTCN2015078811-appb-000011
其中，
Figure PCTCN2015078811-appb-000012
I为单位阵，
Figure PCTCN2015078811-appb-000013
表示矩阵Wk的第j列矢量。
Figure PCTCN2015078811-appb-000014
表示矩阵Wk的第j1,j2,...,jn列构成的矩阵。
在长期演进增强(LTE-Advance)技术中，码本反馈得到了一定程度的增强，对于Rank＝r，r为整数，与前面的4Tx码本不同的地方在于：在使用该码本反馈时，反馈对应的码本中的码字需要2个PMI的反馈来表示其信息，一般可以表示为下表3所示。
表3
Figure PCTCN2015078811-appb-000015
这里
Figure PCTCN2015078811-appb-000016
为一个由i1i2共同指示的码字，通常可以写成函数形式W(i1,i2)，只需要确定i1i2即可。例如：r＝2时，如表4所示
表4
Figure PCTCN2015078811-appb-000017
φn＝ejπn/2
vm＝[1 ej2πm/32 ej4πm/32 ej6πm/32]T
其主要的改变在于：针对支持的每种层数情况定义了一种码字模型，基于该码字模型进行反馈，通过反馈的1个或2个PMI确定模型中参数的含义，最终获得准确的信道特征矢量信息用于进行预编码。
随着无线通信技术的高速发展，用户无线应用越来越丰富，也带动了无线数据业务的迅速增长。据预测，未来10年间，数据业务将以每年1.6-2倍的速率增长。这无疑给无线接入网络带来了无限的商机和巨大的挑战，而多天线技术是应对无线数据业务爆发式增长挑战的关键技术。目前，4G中支持的多天线技术仅仅支持最大8端口的水平维度波束赋形技术，还有较大的潜力进一步的大幅提升系统容量。
目前，多天线技术的演进主要围绕着更大的波束赋形/预编码增益，更多的空间复用层数(MU/SU)及更小的层间干扰，更全面的覆盖，更小的站点间干扰等目标进行。大规模MIMO(Massive MIMO)和三维MIMO(3D MIMO)是下一代无线通信中MIMO演进的最主要的两种技术。
基于Massive MIMO技术的系统中，基站侧配置有大规模天线阵列，例如：16、32、64、128、256天线，甚至更多的天线数目。在本申请文件中提及的天线通常可以理解为被定义的天线端口。这样，在数据传输时，利用MU-MIMO技术，同时同频复用多个用户，一般来说，天线数目与复用用户数目比例维持在5-10倍左右。一方面，无论是在视距环境的强相关信道，还是富散射下的非相关信道，任意两个用户的信道之间的相关系数随着天线数目的增加成指数形式衰减。例如：当基站侧配置有100根以上天线时，任意两个用户的信道之间相关系数趋近于0，也即是说多用户对应信道之间接近正交。而另一方面，大阵列可以带来非常可观的阵列增益和分集增益。另外，为了节约天线尺寸并且提供更好的分集性能或复用能力，双极化天线也被广泛的应用于massive MIMO。使用双极化天线可以使得天线的尺寸缩小到原来的一半。
对于Massive MIMO来说，由于大量天线的引入，天线维度增多的情况下对于量化精度的要求，现有的码本反馈模型中，如表4中给出的仅利用
Figure PCTCN2015078811-appb-000018
等量化模型进行信道特征信息或预编码信息的反馈是存在一些缺陷的，造成该缺陷的主要原因是在设计该反馈模型时没有考虑信道实际存在的极化泄露问题。理想的极化完全隔离是没有的，馈送到一种极化天线中取的信号多少总会有一点在另外一种极化天线。在电磁波传播过程中，经常会因为建筑物外的金属导致极化旋转，其都会造成极化的泄露。非理想双极化系统存在复杂的耦合特性，因此双极化系统的信道响应特征也是十分复杂的，基于理想双极化信道不考虑极化泄露的不再适合Massive MIMO，针对其设计的反馈方法在Massive MIMO中不是十分鲁棒。因此现有的一些设计考虑可能需要改进和增强才能适用于对精度要求较高的Massive MIMO。
假设一个双极化天线系统存在Mt根发射天线和Mr根接收天线，其中，Mt/2根发射天线为一个极化方向，而其他Mt/2根发射天线为一个极化方向。同样的在接收端Mr/2根发射天线为一个极化方向，而其他Mr/2根发射天线为一个极化方向。图1是根据相关技术的双极化天线系统存在Mt根发射天线和Mr根接收天线的示意图。如图1所示，
对于接收信号y可以建模为(1)：
Figure PCTCN2015078811-appb-000019
其中，z为接收端Mr维的接收权值矢量，f为unit-norm发送端预编码矢量，n为Mr维的高斯白噪声，服从CN(0,1)的分布，s为发射信号，Es(ssH)≤1，ρ表示SNR。
对于双极化信道H可以建模为(2)：
H＝Hw·X   ……(2)
其中，·表示矩阵的Hadamard Product，非相关信道的场景，Hw近似为Nr×Nt维的高斯信道，每个天线对间的信道响应服从CN(0,1)的分布。X为一个与XPD(cross-polar discrimination)相关的矩阵，表达式为(3)，κ表示XPR(cross-polar ratio)为XPD的逆。
Figure PCTCN2015078811-appb-000020
Mr,Mt分别代表收发天线，现有技术中的假设
Figure PCTCN2015078811-appb-000021
为0分析信道特征矢量的模型。大多数论文中的研究假设也均是研究较为理想的X的情况。当考虑没有极化泄露的情况下，信道的特征矢量具备块对角的特征，例如：
Figure PCTCN2015078811-appb-000022
v1v2为Mt/2的矢量，a为一个模值为1的相位参数。这一结论在反馈设计中被广泛应用。表4中的模型
Figure PCTCN2015078811-appb-000023
就是根据该模型得到的。
但实际上，完全没有极化泄露的情况在实际系统中是几乎不存在的，典型的极化泄露比(XPR)在3GPP LTE的各种场景中规定通常集中在-4dB～-12dB，而典型场景 一般在-8dB左右，其他的一些文献中的规定也是类似的，例如：[x]中指出κ典型值是在-7.2dB～-8dB。
对于发射端天线数目较小的情况，考虑
Figure PCTCN2015078811-appb-000024
近似为0对码字弦距离影响不大，但随着发射天线数的增长，
Figure PCTCN2015078811-appb-000025
对弦距离性能的影响会增大。以32，64天线为例，在不考虑极化泄露情况下设计的反馈，例如：满足
Figure PCTCN2015078811-appb-000026
模型的码字，其存在一个量化反馈性能的上界，如果以弦距离来表征的话，可以假设vi，vjα等参数有不受限的开销情况下求得码字与实际信道特征矢量最小弦距离的界，图2是根据相关技术的与32Tx对应的不考虑极化泄露最小量化误差(弦距离)CDF的示意图。图3是根据相关技术的与64Tx对应的不考虑极化泄露最小量化误差(弦距离)CDF的示意图。如图2和图3所示，这里仿真中考虑的极化泄露为κ＝-8dB即
Figure PCTCN2015078811-appb-000027
由此可以看出，即使仅考虑-8dB的极化泄露，对于32Tx而言，存在约70％的情况理论上的码字与信道特征矢量最小弦距离就要超过0.5，而对于64Tx而言，存在约80％的情况理论上的码字与信道特征矢量最小弦距离就要超过0.5，弦距离可以反应有用信号功率的损失。因此，现有的双极化码字模型是存在瓶颈的，也就是还存在优化空间，而且优化空间在很多情况下对有用信号的增益都超过3dB。在实际信道环境中，由于XPR＝-8dB只是一个比较典型的值，实际系统中有部分UE的κ可能会达到-4dB，对性能影响可能还会更大一些，会严重影响这些UE的反馈性能进而影响到用户数据业务速率。因此不考虑极化泄露的情况下的反馈模型会受限于一个理论上界，会制约系统性能
综上所述，相关技术中在没有考虑极化泄露的情况下设计了反馈模型，基于该反馈模型进行反馈并不适用于Massive MIMO，因为Massive MIMO对信道信息量化精度非常敏感，因此，对反馈模型的准确度要求也是很高的。
发明内容
本发明实施例提供了一种信道信息的量化反馈、数据的预编码方法及装置，以至少解决相关技术中所设计的反馈模型缺乏考虑极化泄露情况的问题。
根据本发明实施例的一个方面，提供了一种信道信息的量化反馈方法。
根据本发明实施例的信道信息的量化反馈方法包括：接收来自于基站的信道测量导频信号；根据信道测量导频信号进行信道测量，获取信道信息；采用信道信息计算第一矩阵(CMatrix1)和第二矩阵(CMatrix2)，其中，CMatrix1和CMatrix2用于对 信道信息进行量化或指示基站进行预编码；向基站反馈CMatrix1的第一指示信息和/或CMatrix2的第二指示信息。
优选地，CMatrix1是以
Figure PCTCN2015078811-appb-000028
或者
Figure PCTCN2015078811-appb-000029
为模型的矩阵，CMatrix2是以
Figure PCTCN2015078811-appb-000030
或者
Figure PCTCN2015078811-appb-000031
为模型的矩阵，Vn、Vm、Vi以及Vj为以下之一：Mt/2行floor(r/2)列的矢量、Mt/2行floor(r/2)列的正交矩阵、Mt/2行floor(r/2)+1列的正交矩阵，Mt为发送天线的数量，floor(r/2)表示对r/2向下取整，r表示传输层数信息或秩信息，a、α以及β均为复数。
优选地，在采用信道信息计算CMatrix1和CMatrix2之后，还包括：通过函数F(CMatrix1,CMatrix2,θ,κ)构建第三矩阵(CMatrix)，其中，CMatrix用于表征量化后的信道特征信息或指示基站进行预编码，θ为相位，κ为实数。
优选地，θ是由基站确定并由高层配置信令通知的相位参数，或者，θ是根据信道信息计算得到并向基站反馈θ的第三指示信息。
优选地，κ是由基站确定并由高层配置信令通知的比例参数，或者，κ是根据信道信息计算得到并向基站反馈κ的第四指示信息。
优选地，CMatrix1采用第一码本(CB1)进行反馈，其中，CB1中包含的码字模型均为
Figure PCTCN2015078811-appb-000032
或
Figure PCTCN2015078811-appb-000033
优选地，a的取值为1和/或j。
优选地，CMatrix1是由多个预编码指示索引(PMI)构成的第一集合(I1)共同指示确定的。
优选地，CMatrix2采用第二码本(CB2)进行反馈，其中，CB2中包含的码字模型均为
Figure PCTCN2015078811-appb-000034
或
Figure PCTCN2015078811-appb-000035
优选地，α和β的取值为1。
优选地，CMatrix2是由多个预编码指示索引(PMI)构成的第二集合(I2)共同指示确定的。
优选地，在I1和I2中至少包括一个相同的索引。
优选地，F(CMatrix1,CMatrix2,θ,κ)＝CMatrix1+ejθ*f(κ)*CMatrix2，其中，f(κ)为自变量为κ的函数。
优选地，f(κ)为以下之一：
Figure PCTCN2015078811-appb-000036
Figure PCTCN2015078811-appb-000037
其中，q为大于0的实数。
优选地，q＝0.5、1或2。
根据本发明的另一方面，提供了一种数据的预编码方法。
根据本发明实施例的数据的预编码方法包括：接收来自于终端的指示信息集合，其中，指示信息集合为以下之一：第一矩阵CMatrix1的第一指示信息以及第二矩阵CMatrix2的第二指示信息，第一指示信息、第二指示信息以及相位θ的第三指示信息，第一指示信息、第二指示信息、第三指示信息以及比例κ的第四指示信息；当指示信息集合包含第一指示信息和第二指示信息时，通过第一指示信息获取CMatrix1以及通过第二指示信息获取CMatrix2；或者，当指示信息集合包含第一指示信息、第二指示信息和相位θ的第三指示信息时，通过第一指示信息获取CMatrix1、通过第二指示信息获取CMatrix2以及通过第三指示信息获取θ；或者，当指示信息集合包含第一指示信息、第二指示信息、第三指示信息和第四指示信息时，通过第一指示信息获取CMatrix1、通过第二指示信息获取CMatrix2、通过第三指示信息获取θ以及通过第四指示信息获取κ；当指示信息集合包含第一指示信息和第二指示信息时，采用获取到的CMatrix1、CMatrix2以及预先确定并下发至终端的θ和κ按照与终端预先约定的函数F(CMatrix1,CMatrix2,θ,κ)计算得到第三矩阵CMatrix；或者，当指示信息集合包含第一指示信息、第二指示信息和相位θ的第三指示信息时，采用获取到的CMatrix1、CMatrix2、θ以及预先确定并下发至终端的κ按照函数F(CMatrix1,CMatrix2,θ,κ)计算得到CMatrix；或者，当指示信息集合包含第一指示信息、第二指示信息、第三指示信息和第四指示信息时，采用获取到的CMatrix1、CMatrix2、θ以及κ按照函数F(CMatrix1,CMatrix2,θ,κ)计算得到CMatrix；采用CMatrix进行数据预编码。
根据本发明实施例的又一方面，提供了另一种信道信息的量化反馈方法。
根据本发明实施例的信道信息的量化反馈方法包括：接收来自于基站的信道测量导频信号；根据信道测量导频信号进行信道测量，获取信道信息；采用信道信息计算 第一类信息、第二类信息以及第三类信息，其中，第一类信息包括：指示N个矢量u1、u2、……uN的信息，第二类信息包括：P个加权幅度信息A1,A2,…AP的指示信息，第三类信息包括：两套相位参数集合的指示信息，第一套相位参数集合为
Figure PCTCN2015078811-appb-000038
第二套相位参数集合为
Figure PCTCN2015078811-appb-000039
u1，u2，……uN，A1,A2,…AP和
Figure PCTCN2015078811-appb-000040
通过预定义的函数F1(u1，u2，……uN，A1,A2,…AP，
Figure PCTCN2015078811-appb-000041
)表征一个形式为
Figure PCTCN2015078811-appb-000042
或
Figure PCTCN2015078811-appb-000043
的对称矩阵DMatrix1，u1，u2，……uN，A1,A2,…AP和
Figure PCTCN2015078811-appb-000044
通过预定义的函数F2(u1，u2，……uN，A1,A2,…AP，
Figure PCTCN2015078811-appb-000045
)表征一个形式为
Figure PCTCN2015078811-appb-000046
或
Figure PCTCN2015078811-appb-000047
的矩阵DMatrix2，C、D、E以及F均为Mt/2×Mt/2的厄米特Hermitian矩阵，Mt为发送天线的数量，DMatrix1和DMatrix2通过预先约定的函数Q(DMatrix1，DMatrix2)表征信道的自相关矩阵信息R或者信道的特征信息/预编码信息W；将第一类信息的第一指示信息、第二类信息的第二指示信息以及第三类信息的第三指示信息发送至基站。
根据本发明实施例的再一方面，提供了另一种数据的预编码方法。
根据本发明实施例的数据的预编码方法包括：接收来自于终端的第一类信息的第一指示信息、第二类信息的第二指示信息以及第三类信息的第三指示信息，其中，第一类信息包括：指示N个矢量u1、u2、……uN的信息，第二类信息包括：P个加权幅度信息A1,A2,…AP的指示信息，第三类信息包括：两套相位参数集合的指示信息，第一套相位参数集合为
Figure PCTCN2015078811-appb-000048
第二套相位参数集合为
Figure PCTCN2015078811-appb-000049
u1，u2，……uN，A1,A2,…AP和
Figure PCTCN2015078811-appb-000050
通过预定义的函数F1(u1，u2，……uN，A1,A2,…AP，
Figure PCTCN2015078811-appb-000051
)表征一个形式为
Figure PCTCN2015078811-appb-000052
或
Figure PCTCN2015078811-appb-000053
的对称矩阵DMatrix1，u1，u2，……uN，A1,A2,…AP和
Figure PCTCN2015078811-appb-000054
通过预定义的函数F2(u1，u2，……uN，A1,A2,…AP，
Figure PCTCN2015078811-appb-000055
)表征一个形式为
Figure PCTCN2015078811-appb-000056
或
Figure PCTCN2015078811-appb-000057
的矩阵DMatrix2，C、D、E以及F均为Mt/2×Mt/2的厄米特Hermitian矩阵，Mt为发送天线的数量，DMatrix1和DMatrix2通过预先约定的函数Q(DMatrix1，DMatrix2)表征信道的自相关矩阵信息R或者信道的特征信息/预编码信息W；根据第一指示信息获取第一类信息、根据第二指示信息获取第二类信息以及根据第三指示信息获取第三类信息；采用第一类信息、第二类信 息以及第三类信息计算得到DMatrix1和DMatrix2，并通过Q(DMatrix1，DMatrix2)计算出R或W；根据R或W进行数据预编码。
根据本发明实施例的再一方面，提供了一种信道信息的量化反馈装置。
根据本发明实施例的信道信息的量化反馈装置包括：接收模块，设置为接收来自于基站的信道测量导频信号；获取模块，设置为根据信道测量导频信号进行信道测量，获取信道信息；计算模块，设置为采用信道信息计算第一矩阵CMatrix1和第二矩阵CMatrix2，其中，CMatrix1和CMatrix2用于对信道信息进行量化或指示基站进行预编码；反馈模块，设置为向基站反馈CMatrix1的第一指示信息和/或CMatrix2的第二指示信息。
优选地，CMatrix1是以
Figure PCTCN2015078811-appb-000058
或者
Figure PCTCN2015078811-appb-000059
为模型的矩阵，CMatrix2是以
Figure PCTCN2015078811-appb-000060
或者
Figure PCTCN2015078811-appb-000061
为模型的矩阵，Vn、Vm、Vi以及Vj为以下之一：Mt/2行floor(r/2)列的矢量、Mt/2行floor(r/2)列的正交矩阵、Mt/2行floor(r/2)+1列的正交矩阵，Mt为发送天线的数量，floor(r/2)表示对r/2向下取整，r表示传输层数信息或秩信息，a、α以及β均为复数。
优选地，上述装置还包括：构建模块，设置为通过函数F(CMatrix1,CMatrix2,θ,κ)构建第三矩阵CMatrix，其中，CMatrix用于表征量化后的信道特征信息或指示基站进行预编码，θ为相位，κ为实数。
优选地，θ是由基站确定并由高层配置信令通知的相位参数，或者，θ是根据信道信息计算得到并向基站反馈θ的第三指示信息。
优选地，κ是由基站确定并由高层配置信令通知的比例参数，或者，κ是根据信道信息计算得到并向基站反馈κ的第四指示信息。
优选地，CMatrix1采用第一码本CB1进行反馈，其中，CB1中包含的码字模型均为
Figure PCTCN2015078811-appb-000062
或
Figure PCTCN2015078811-appb-000063
优选地，a的取值为1和/或j。
优选地，CMatrix1是由多个预编码指示索引PMI构成的第一集合I1共同指示确定的。
优选地，CMatrix2采用第二码本CB2进行反馈，其中，CB2中包含的码字模型均为
Figure PCTCN2015078811-appb-000064
或
Figure PCTCN2015078811-appb-000065
优选地，α和β的取值为1。
优选地，CMatrix2是由多个预编码指示索引PMI构成的第二集合I2共同指示确定的。
优选地，在I1和I2中至少包括一个相同的索引。
优选地，F(CMatrix1,CMatrix2,θ,κ)＝CMatrix1+ejθ*f(κ)*CMatrix2，其中，f(κ)为自变量为κ的函数。
优选地，f(κ)为以下之一：
Figure PCTCN2015078811-appb-000066
Figure PCTCN2015078811-appb-000067
其中，q为大于0的实数。
优选地，q＝0.5、1或2。
根据本发明实施例的再一方面，提供了一种数据的预编码装置。
根据本发明实施例的数据的预编码装置包括：接收模块，设置为接收来自于终端的指示信息集合，其中，指示信息集合为以下之一：第一矩阵CMatrix1的第一指示信息以及第二矩阵CMatrix2的第二指示信息，第一指示信息、第二指示信息以及相位θ的第三指示信息，第一指示信息、第二指示信息、第三指示信息以及比例κ的第四指示信息；获取模块，设置为当指示信息集合包含第一指示信息和第二指示信息时，通过第一指示信息获取CMatrix1以及通过第二指示信息获取CMatrix2；或者，当指示信息集合包含第一指示信息、第二指示信息和相位θ的第三指示信息时，通过第一指示信息获取CMatrix1、通过第二指示信息获取CMatrix2以及通过第三指示信息获取θ；或者，当指示信息集合包含第一指示信息、第二指示信息、第三指示信息和第四指示信息时，通过第一指示信息获取CMatrix1、通过第二指示信息获取CMatrix2、通过第三指示信息获取θ以及通过第四指示信息获取κ；计算模块，设置为当指示信息集合 包含第一指示信息和第二指示信息时，采用获取到的CMatrix1、CMatrix2以及预先确定并下发至终端的θ和κ按照与终端预先约定的函数F(CMatrix1,CMatrix2,θ,κ)计算得到第三矩阵CMatrix；或者，当指示信息集合包含第一指示信息、第二指示信息和相位θ的第三指示信息时，采用获取到的CMatrix1、CMatrix2、θ以及预先确定并下发至终端的κ按照函数F(CMatrix1,CMatrix2,θ,κ)计算得到CMatrix；或者，当指示信息集合包含第一指示信息、第二指示信息、第三指示信息和第四指示信息时，采用获取到的CMatrix1、CMatrix2、θ以及κ按照函数F(CMatrix1,CMatrix2,θ,κ)计算得到CMatrix；预编码模块，设置为采用CMatrix进行数据预编码。
根据本发明实施例的再一方面，提供了另一种信道信息的量化反馈装置。
根据本发明实施例的信道信息的量化反馈装置包括：接收模块，设置为接收来自于基站的信道测量导频信号；获取模块，设置为根据信道测量导频信号进行信道测量，获取信道信息；计算模块，设置为采用信道信息计算第一类信息、第二类信息以及第三类信息，其中，第一类信息包括：指示N个矢量u1、u2、……uN的信息，第二类信息包括：P个加权幅度信息A1,A2,…AP的指示信息，第三类信息包括：两套相位参数集合的指示信息，第一套相位参数集合为
Figure PCTCN2015078811-appb-000068
第二套相位参数集合为
Figure PCTCN2015078811-appb-000069
u1，u2，……uN，A1,A2,…AP和
Figure PCTCN2015078811-appb-000070
通过预定义的函数F1(u1，u2，……uN，A1,A2,…AP，
Figure PCTCN2015078811-appb-000071
)表征一个形式为
Figure PCTCN2015078811-appb-000072
或
Figure PCTCN2015078811-appb-000073
的对称矩阵DMatrix1，u1，u2，……uN，A1,A2,…AP和
Figure PCTCN2015078811-appb-000074
通过预定义的函数F2(u1，u2，……uN，A1,A2,…AP，
Figure PCTCN2015078811-appb-000075
)表征一个形式为
Figure PCTCN2015078811-appb-000076
或
Figure PCTCN2015078811-appb-000077
的矩阵DMatrix2，C、D、E以及F均为Mt/2×Mt/2的厄米特Hermitian矩阵，Mt为发送天线的数量，DMatrix1和DMatrix2通过预先约定的函数Q(DMatrix1，DMatrix2)表征信道的自相关矩阵信息R或者信道的特征信息/预编码信息W；反馈模块，设置为将第一类信息的第一指示信息、第二类信息的第二指示信息以及第三类信息的第三指示信息发送至基站。
根据本发明实施例的再一方面，提供了另一种数据的预编码装置。
根据本发明实施例的数据的预编码装置包括：接收模块，设置为接收来自于终端的第一类信息的第一指示信息、第二类信息的第二指示信息以及第三类信息的第三指示信息，其中，第一类信息包括：指示N个矢量u1、u2、……uN的信息，第二类信息包括：P个加权幅度信息A1,A2,…AP的指示信息，第三类信息包括：两套相位参数 集合的指示信息，第一套相位参数集合为
Figure PCTCN2015078811-appb-000078
第二套相位参数集合为
Figure PCTCN2015078811-appb-000079
u1，u2，……uN，A1,A2,…AP和
Figure PCTCN2015078811-appb-000080
通过预定义的函数F1(u1，u2，……uN，A1,A2,…AP，
Figure PCTCN2015078811-appb-000081
)表征一个形式为
Figure PCTCN2015078811-appb-000082
或
Figure PCTCN2015078811-appb-000083
的对称矩阵DMatrix1，u1，u2，……uN，A1,A2,…AP和
Figure PCTCN2015078811-appb-000084
通过预定义的函数F2(u1，u2，……uN，A1,A2,…AP，
Figure PCTCN2015078811-appb-000085
)表征一个形式为
Figure PCTCN2015078811-appb-000086
或
Figure PCTCN2015078811-appb-000087
的矩阵DMatrix2，C、D、E以及F均为Mt/2×Mt/2的厄米特Hermitian矩阵，Mt为发送天线的数量，DMatrix1和DMatrix2通过预先约定的函数Q(DMatrix1，DMatrix2)表征信道的自相关矩阵信息R或者信道的特征信息/预编码信息W；获取模块，设置为根据第一指示信息获取第一类信息、根据第二指示信息获取第二类信息以及根据第三指示信息获取第三类信息；计算模块，设置为采用第一类信息、第二类信息以及第三类信息计算得到DMatrix1和DMatrix2，并通过Q(DMatrix1，DMatrix2)计算出R或W；预编码模块，设置为根据R或W进行数据预编码。
通过本发明实施例，采用接收来自于基站的信道测量导频信号；根据信道测量导频信号进行信道测量，获取信道信息；采用信道信息计算CMatrix1和CMatrix2，其中，CMatrix1和CMatrix2用于对信道信息进行量化或指示基站进行预编码；向基站反馈CMatrix1的第一指示信息和/或CMatrix2的第二指示信息，解决了相关技术中所设计的反馈模型缺乏考虑极化泄露情况的问题，进而由于在反馈设计中考虑了极化泄露产生的影响，因此在实际发生极化泄露的情况下存在显著的性能增益。
附图说明
此处所说明的附图用来提供对本发明的进一步理解，构成本申请的一部分，本发明的示意性实施例及其说明用于解释本发明，并不构成对本发明的不当限定。在附图中：
图1是根据相关技术的双极化天线系统存在Mt根发射天线和Mr根接收天线的示意图；
图2是根据相关技术的与32Tx对应的不考虑极化泄露最小量化误差(弦距离)CDF的示意图；
图3是根据相关技术的与64Tx对应的不考虑极化泄露最小量化误差(弦距离)CDF的示意图；
图4是根据本发明实施例的信道信息的量化反馈方法的流程图；
图5是根据本发明实施例的数据的预编码方法的流程图；
图6是根据本发明实施例的另一种信道信息的量化反馈方法的流程图；
图7是根据本发明实施例的另一种数据的预编码方法的流程图；
图8是根据本发明实施例的信道信息的量化反馈装置的结构框图；
图9是根据本发明优选实施例的信道信息的量化反馈装置的结构框图；
图10是根据本发明实施例的数据的预编码装置的结构框图；
图11是根据本发明实施例的另一种信道信息的量化反馈装置的结构框图；
图12是根据本发明实施例的另一种数据的预编码装置的结构框图。
具体实施方式
下文中将参考附图并结合实施例来详细说明本发明。需要说明的是，在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互组合。
图4是根据本发明实施例的信道信息的量化反馈方法的流程图。如图4所示，该方法可以包括以下处理步骤：
步骤S402：接收来自于基站的信道测量导频信号；
步骤S404：根据信道测量导频信号进行信道测量，获取信道信息；
步骤S406：采用信道信息计算CMatrix1和CMatrix2，其中，CMatrix1和CMatrix2用于对信道信息进行量化或指示基站进行预编码；
步骤S408：向基站反馈CMatrix1的第一指示信息和/或CMatrix2的第二指示信息。
相关技术中所设计的反馈模型缺乏考虑极化泄露情况。采用如图4所示的方法，解决了相关技术中所设计的反馈模型缺乏考虑极化泄露情况的问题，进而由于在反馈设计中考虑了极化泄露产生的影响，因此在实际发生极化泄露的情况下存在显著的性能增益。
需要说明的是，本发明实施例所提到的矩阵，由于其列矢量元素位置是与天线排布相关的，因此对本发明实施例提到的所有矩阵同时进行任意的行交换则并不影响这些矩阵实质，其为等效实施方式。而且本发明实施例所提到的矩阵，由于其行矢量中的元素位置是与层映射相关的，层映射可以按照各种不同方式进行，因此对本发明实施例提到的所有矩阵同时进行任意的列交换则并不影响这些矩阵实质，其为等效实施方式。此外，对于本发明实施例所提到的矩阵，只关注其方向性问题，因此，对于所有矩阵同时乘以一个任意复数系数而言，由于不改变其方向，而只会影响其发射功率，故而可以视为是等效实施方式。
在优选实施例中，CMatrix1是以
Figure PCTCN2015078811-appb-000088
或者
Figure PCTCN2015078811-appb-000089
为模型的矩阵，CMatrix2是以
Figure PCTCN2015078811-appb-000090
或者
Figure PCTCN2015078811-appb-000091
为模型的矩阵，而Vn、Vm、Vi以及Vj可以但不限于为以下之一：
(1)Mt/2行floor(r/2)列的矢量；
(2)Mt/2行floor(r/2)列的正交矩阵；
(3)Mt/2行floor(r/2)+1列的正交矩阵；
Mt为发送天线的数量，floor(r/2)表示对r/2向下取整，r表示传输层数信息或秩信息，a、α以及β均为复数。
优选地，在步骤S406，采用信道信息计算CMatrix1和CMatrix2之后，还可以包括以下操作：
步骤S1：通过函数F(CMatrix1,CMatrix2,θ,κ)构建第三矩阵(CMatrix)，其中，CMatrix用于表征量化后的信道特征信息或指示基站进行预编码，θ为相位，κ为实数。
在优选实施过程中，θ是由基站确定并由高层配置信令通知的相位参数，或者，θ是根据信道信息计算得到并向基站反馈θ的第三指示信息。
在优选实施过程中，κ是由基站确定并由高层配置信令通知的比例参数，或者，κ是根据信道信息计算得到并向基站反馈κ的第四指示信息。
优选地，CMatrix1采用第一码本(CB1)进行反馈，其中，CB1中包含的码字模型均为
Figure PCTCN2015078811-appb-000092
或
Figure PCTCN2015078811-appb-000093
在优选实施过程中，a的取值为1和/或j。
优选地，CMatrix1是由多个PMI构成的I1共同指示确定的。
优选地，CMatrix2采用CB2进行反馈，其中，CB2中包含的码字模型均为
Figure PCTCN2015078811-appb-000094
或
Figure PCTCN2015078811-appb-000095
在优选实施过程中，α和β的取值为1。
优选地，CMatrix2是由多个PMI构成的I2共同指示确定的。
在优选实施过程中，在I1和I2中至少包括一个相同的索引。
优选地，F(CMatrix1,CMatrix2,θ,κ)＝CMatrix1+ejθ*f(κ)*CMatrix2，其中，f(κ)为自变量为κ的函数。
在优选实施过程中，f(κ)可以但不限于为以下之一：
Figure PCTCN2015078811-appb-000096
Figure PCTCN2015078811-appb-000097
Figure PCTCN2015078811-appb-000098
Figure PCTCN2015078811-appb-000099
其中，q为大于0的实数。
在优选实施过程中，q＝0.5、1或2。
图5是根据本发明实施例的数据的预编码方法的流程图。如图5所示，该方法可以包括以下处理步骤：
步骤S502：接收来自于终端的指示信息集合，其中，指示信息集合为以下之一：第一矩阵CMatrix1的第一指示信息以及第二矩阵CMatrix2的第二指示信息，第一指示信息、第二指示信息以及相位θ的第三指示信息，第一指示信息、第二指示信息、第三指示信息以及比例κ的第四指示信息；
步骤S504：当指示信息集合包含第一指示信息和第二指示信息时，通过第一指示信息获取CMatrix1以及通过第二指示信息获取CMatrix2；或者，当指示信息集合包含第一指示信息、第二指示信息和相位θ的第三指示信息时，通过第一指示信息获取CMatrix1、通过第二指示信息获取CMatrix2以及通过第三指示信息获取θ；或者，当指示信息集合包含第一指示信息、第二指示信息、第三指示信息和第四指示信息时，通过第一指示信息获取CMatrix1、通过第二指示信息获取CMatrix2、通过第三指示信息获取θ以及通过第四指示信息获取κ；
步骤S506：当指示信息集合包含第一指示信息和第二指示信息时，采用获取到的CMatrix1、CMatrix2以及预先确定并下发至终端的θ和κ按照与终端预先约定的函数F(CMatrix1,CMatrix2,θ,κ)计算得到第三矩阵CMatrix；或者，当指示信息集合包含第一指示信息、第二指示信息和相位θ的第三指示信息时，采用获取到的CMatrix1、CMatrix2、θ以及预先确定并下发至终端的κ按照函数F(CMatrix1,CMatrix2,θ,κ)计算得到CMatrix；或者，当指示信息集合包含第一指示信息、第二指示信息、第三指示信息和第四指示信息时，采用获取到的CMatrix1、CMatrix2、θ以及κ按照函数F(CMatrix1,CMatrix2,θ,κ)计算得到CMatrix；
步骤S508：采用CMatrix进行数据预编码。
图6是根据本发明实施例的另一种信道信息的量化反馈方法的流程图。如图6所示，该方法可以包括以下处理步骤：
步骤S602：接收来自于基站的信道测量导频信号；
步骤S604：根据信道测量导频信号进行信道测量，获取信道信息；
步骤S606：采用信道信息计算第一类信息、第二类信息以及第三类信息，其中，第一类信息包括：指示N个矢量u1、u2、……uN的信息，第二类信息包括：P个加权幅度信息A1,A2,…AP的指示信息，第三类信息包括：两套相位参数集合的指示信息， 第一套相位参数集合为
Figure PCTCN2015078811-appb-000100
第二套相位参数集合为
Figure PCTCN2015078811-appb-000101
u1，u2，……uN，A1,A2,…AP和
Figure PCTCN2015078811-appb-000102
通过预定义的函数F1(u1，u2，……uN，A1,A2,…AP，
Figure PCTCN2015078811-appb-000103
)表征一个形式为
Figure PCTCN2015078811-appb-000104
或
Figure PCTCN2015078811-appb-000105
的对称矩阵DMatrix1，u1，u2，……uN，A1,A2,…AP和
Figure PCTCN2015078811-appb-000106
通过预定义的函数F2(u1，u2，……uN，A1,A2,…AP，
Figure PCTCN2015078811-appb-000107
)表征一个形式为
Figure PCTCN2015078811-appb-000108
或
Figure PCTCN2015078811-appb-000109
的矩阵DMatrix2，C、D、E以及F均为Mt/2×Mt/2的厄米特Hermitian矩阵，Mt为发送天线的数量，DMatrix1和DMatrix2通过预先约定的函数Q(DMatrix1，DMatrix2)表征信道的自相关矩阵信息R或者信道的特征信息/预编码信息W；
步骤S608：将第一类信息的第一指示信息、第二类信息的第二指示信息以及第三类信息的第三指示信息发送至基站。
图7是根据本发明实施例的另一种数据的预编码方法的流程图。如图7所示，该方法可以包括以下处理步骤：
步骤S702：接收来自于终端的第一类信息的第一指示信息、第二类信息的第二指示信息以及第三类信息的第三指示信息，其中，第一类信息包括：指示N个矢量u1、u2、……uN的信息，第二类信息包括：P个加权幅度信息A1,A2,…AP的指示信息，第三类信息包括：两套相位参数集合的指示信息，第一套相位参数集合为
Figure PCTCN2015078811-appb-000110
第二套相位参数集合为
Figure PCTCN2015078811-appb-000111
u1，u2，……uN，A1,A2,…AP和
Figure PCTCN2015078811-appb-000112
通过预定义的函数F1(u1，u2，……uN，A1,A2,…AP，
Figure PCTCN2015078811-appb-000113
)表征一个形式为
Figure PCTCN2015078811-appb-000114
或
Figure PCTCN2015078811-appb-000115
的对称矩阵DMatrix1，u1，u2，……uN，A1,A2,…AP和
Figure PCTCN2015078811-appb-000116
通过预定义的函数F2(u1，u2，……uN，A1,A2,…AP，
Figure PCTCN2015078811-appb-000117
)表征一个形式为
Figure PCTCN2015078811-appb-000118
或
Figure PCTCN2015078811-appb-000119
的矩阵DMatrix2，C、D、E以及F均为Mt/2×Mt/2的厄米特Hermitian矩阵，Mt为发送天线的数量，DMatrix1和DMatrix2通过预先约定的函数Q(DMatrix1，DMatrix2)表征信道的自相关矩阵信息R或者信道的特征信息/预编码信息W；
步骤S704：根据第一指示信息获取第一类信息、根据第二指示信息获取第二类信息以及根据第三指示信息获取第三类信息；
步骤S706：采用第一类信息、第二类信息以及第三类信息计算得到DMatrix1和DMatrix2，并通过Q(DMatrix1，DMatrix2)计算出R或W；
步骤S708：根据R或W进行数据预编码。
对于信道信息而言，通常关注的主要是信道矩阵H的右奇异矢量，因此，实际上可以对R＝HHH进行研究，H的右奇异矢量实际等于HHH的特征矢量，其中，HHH表达式如下
Figure PCTCN2015078811-appb-000120
对于发射端垂直水平极化的天线情况配置，经过分析可以发现
Figure PCTCN2015078811-appb-000121
Figure PCTCN2015078811-appb-000122
均为分块对角矩阵，其中，
Figure PCTCN2015078811-appb-000123
为Block diagonal矩阵，
Figure PCTCN2015078811-appb-000124
Figure PCTCN2015078811-appb-000125
均为off-Block diagonal矩阵。
Figure PCTCN2015078811-appb-000126
故而，存在以下几种反馈方式：
方式一、反馈各个矩阵
Figure PCTCN2015078811-appb-000127
Figure PCTCN2015078811-appb-000128
Figure PCTCN2015078811-appb-000129
的特征矢量，并将其进行加权合并得到HHH的特征矢量。经过分析可知
Figure PCTCN2015078811-appb-000130
块对角阵，其特征矢量模型为
Figure PCTCN2015078811-appb-000131
Figure PCTCN2015078811-appb-000132
为反块对角矩阵，特征矢量模型应该为
Figure PCTCN2015078811-appb-000133
加权合并系数与
Figure PCTCN2015078811-appb-000134
Figure PCTCN2015078811-appb-000135
的特征值相关，而其特征值统计意义上与κ的大小相关，为κ的一个函数或者反馈部分矩阵
Figure PCTCN2015078811-appb-000136
Figure PCTCN2015078811-appb-000137
的特征矢量，并将其进行加权合并得到近似的HHH的特征矢量。
经过分析可知
Figure PCTCN2015078811-appb-000138
块对角阵，其特征矢量模型为
Figure PCTCN2015078811-appb-000139
Figure PCTCN2015078811-appb-000140
为反块对角矩阵，特征矢量模型应该为
Figure PCTCN2015078811-appb-000141
加权合并系数与
Figure PCTCN2015078811-appb-000142
Figure PCTCN2015078811-appb-000143
的特征值相关，而其特征值统计意义上与κ的大小相关，为κ的一个函数或者反馈部分矩阵
Figure PCTCN2015078811-appb-000144
Figure PCTCN2015078811-appb-000145
的特征矢量，并将其进行加权合并得到近似的HHH的特征矢量。
经过分析可知
Figure PCTCN2015078811-appb-000146
块对角阵，其特征矢量模型为
Figure PCTCN2015078811-appb-000147
Figure PCTCN2015078811-appb-000148
为反块对角矩阵，特征矢量模型应该为
Figure PCTCN2015078811-appb-000149
加权合并系数与
Figure PCTCN2015078811-appb-000150
的特征值相关，而其特征值统计意义上与κ的大小相关，为κ的一个函数。
方式二、由于X1-X6均由相同的一些多径成分导致的信道响应，因此，对于多径的幅度而言，方向均可以采用相同的信息，其区别仅在于：加权合并时每个多径上的相位因为极化方向不同极化泄露特点不同而有所区别，因此，可以考虑一套幅度信息一套方向信息和多套相位信息的反馈方法来分别构造
Figure PCTCN2015078811-appb-000151
进行反馈。
对于发射端+/-45度极化的天线情况配置经过分析可以发现：
Figure PCTCN2015078811-appb-000152
下面将结合优选实施例一至优选实施例六对上述优选实施过程作进一步描述。
优选实施例一
基站发送信道测量导频，以Nt根发送天线为例，在两个互相垂直的极化方向上分别存在Nt/2根天线。基站发送总共有Nt个端口的一套CSI-RS导频。终端接收基站发送的导频配置信息，在对应的资源位置上进行检测，以获得Nr×Nt维的信道矩阵H的信息。此处，Nr为接收天线的数目。
终端与基站可以预先约定使用以下函数来表征信道矩阵的特征矢量信息或预编码信息。
特征矢量或最佳预编码W＝F(CMatrix1,CMatrix2,θ,κ)；
该函数的表达形式如下：
F(CMatrix1,CMatrix2,θ,κ)＝CMatrix1+ejθ*f(κ)*CMatrix2，其中，f(κ)为一个自变量为κ的函数。
在优选实施过程中，上述函数f(κ)可以为以下之一：
Figure PCTCN2015078811-appb-000153
其中，q为大于0的实数，在该优选实施例中，q的优选取值为：q＝0.5，1或2。
终端只需要根据测量得到的H信息，计算并反馈最佳的CMatrix1,CMatrix2,θ，κ信息，其方法是根据接收权值模拟一个接收过程，通过遍历CMatrix1，CMatrix2，θ，κ等参数，使得在某个准则下最优，这个准则可以是最大化信干噪比、最小化误差等。这样即可通过约定的函数表征出选定的准则下最佳的W，基站即可基于W进行数据预编码处理。
例如：对于秩为2或传输层数为2的情况
CMatrix1可以为以下码本中的一个码字，终端基于该码本进行码字选择和反馈，i1 i2共同指示一个模型为
Figure PCTCN2015078811-appb-000154
的码字，i1 i2组成索引集合I1，分别需要4bit指示信令反馈，这里vm vm'为Mt/2维的矢量，可以根据信道的相关性，天线阵列的形状确定其具体模型。例如：如果考虑比较相关的2D MIMO(线阵天线排布，只支持垂直或水平维度的波束赋形)，那么vm,vm'可以为DFT矢量，其数学形式为：
vm＝[1 ej2πm/32 … ej(Nt-2)πm/32]T，vm'＝[1 ej2πm'/32 … ej(Nt-2)πm'/32]T；
如果考虑3D MIMO(矩阵天线排布，支持垂直水平两个维度的波束赋形)，那么vm,vm'可以为两个DFT矢量的Kroneck克罗内克积形式，如果考虑非相关信道，那么vm,vm'可以为一个Mt/2维的Gransmannian码本中的码字。码字个数可以根据反馈精度需求确定。如表5所示，
表5
Figure PCTCN2015078811-appb-000155
CMatrix2可以从一个所有码字符合模型
Figure PCTCN2015078811-appb-000156
的码本中选取，例如：CMatrix2可以为以下码本中的一个码字，终端基于该码本进行码字选择和反馈，i3 i4共同指示一个模型为
Figure PCTCN2015078811-appb-000157
的码字，i3 i4组成索引集合I2，分别需要3bit指示信令反馈，这里vq vq'为Mt/2维的矢量，可以根据信道的相关性，2D or 3D MIMO确定其具体模型，例如：如果考虑比较相关的2D MIMO(线阵天线排布，只支持垂直或水平维度的波束赋形)，那么vq vq'可以为DFT矢量，其数学形式为：
vq＝[1 ej2πq/32 … ej(Nt-2)πq/32]T，vq'＝[1 ej2πq'/32 … ej(Nt-2)πq'/32]T；
如果考虑3D MIMO(矩阵天线排布，支持垂直水平两个维度的波束赋形)，那么vq vq'可以为两个DFT矢量的Kroneck积形式，如果考虑非相关信道，那么vq vq'可以为一个Mt/2维的Gransmannian码本中的码字。码字个数可以根据反馈精度需求确定，但一般i3 i4的反馈开销之和小于i1 i2的反馈开销之和。如表6所示，
表6
Figure PCTCN2015078811-appb-000158
Figure PCTCN2015078811-appb-000159
也有可能是秩为4或传输层数为4的情况，
CMatrix1可以为以下码本中的一个码字，终端基于该码本进行码字选择和反馈。如表7所示，
表7
Figure PCTCN2015078811-appb-000160
索引集合I1可以包括：i1i2，分别需要2bit，3bit指示信令反馈，这里vm,vm'为Mt/2维的矢量，可以根据信道的相关性，2D or 3D MIMO确定其具体模型，例如：如果考虑比较相关的2D MIMO(线阵天线排布，只支持垂直或水平维度的波束赋形)，那么vm,vm'可以为DFT矢量，如果考虑3D MIMO(矩阵天线排布，支持垂直水平两个维度的波束赋形)，那么vm,vm'可以为两个DFT矢量的Kroneck积形式，如果考虑非相关信道，那么vm,vm'可以为一个Mt/2维的Gransmannian码本中的码字。码字个数可以根据反馈精度需求确定。
CMatrix2可以为以下码本中的一个码字，终端基于该码本进行码字选择和反馈。如表8所示，
表8
Figure PCTCN2015078811-appb-000161
索引集合I2可以包括：i3i4，分别需要2bit指示信令反馈，这里vm1,vm2,vm1',vm2'为Mt/2维的矢量，可以根据信道的相关性，2D or 3D MIMO确定其具体模型。例如：如果考虑比较相关的2D MIMO(线阵天线排布，只支持垂直或水平维度的波束赋形)，那么vm1,vm2,vm1',vm2'可以为DFT矢量，如果考虑3D MIMO(矩阵天线排布，支持垂直水平两个维度的波束赋形)，那么vm1,vm2,vm1',vm2'可以为两个DFT矢量的Kroneck积形式，如果考虑非相关信道，那么vm1,vm2,vm1',vm2'可以为一个Mt/2维的Gransmannian码本中的码字。码字个数可以根据反馈精度需求确定，但一般i3 i4的反馈开销之和小于i1 i2的反馈开销之和。
终端除了要计算出CMatrix1和CMatrix2外，还需要计算相位信息θ，比例信息κ，相位信息θ可以通过ejθ进行表征。ejθ可以通过一个码本进行量化，例如：2bit码本{1j -1 –j}或者3bit码本{1 j -1 –j q0 q1 q2 q3}，其中，
Figure PCTCN2015078811-appb-000162
Figure PCTCN2015078811-appb-000163
当然，κ也可以用一个码本进行量化，例如：[-4dB,-5dB-6dB,-8dB]。
终端计算出上述CMatrix1，CMatrix2，θ，κ信息后，在上行信道上反馈指示这些信息的索引信息。所有的码本都是在收发端共同保存的，因此，基站收到这些指示信息后，即可根据相同的码本找到对应CMatrix1，CMatrix2，θ，κ信息，进而根据事先约定好的函数F(CMatrix1,CMatrix2,θ，κ)获得特征矢量信息或预编码信息CMatrix，即终端选择出的W。
进而，基站可以利用该W进行预编码。
优选实施例二
基站发送信道测量导频，以Nt根发送天线为例，在两个互相垂直的极化方向上分别存在Nt/2根天线。基站发送总共有Nt个端口的一套CSI-RS导频。终端获得基站发送的导频配置信息，在对应的资源位置上进行检测，以获得Nr×Nt维的信道矩阵H的信息。此处，Nr为接收天线的数目。
终端与基站预先约定使用以下的函数来表征信道矩阵的特征矢量信息或预编码信息。
特征矢量/最佳预编码W＝F(CMatrix1,CMatrix2,θ,κ)；
该函数的表达形式如下：
F(CMatrix1,CMatrix2,θ,κ)＝CMatrix1+ejθ*f(κ)*CMatrix2，其中，f(κ)为一个自变量为κ的函数。
在优选实施过程中，上述函数f(κ)可以为以下之一：
Figure PCTCN2015078811-appb-000164
其中，q为大于0的实数，在该优选实施例中，q的优选取值为：q＝0.5、1或2。
终端只需要根据测量得到的H信息，计算并反馈最佳的CMatrix1,CMatrix2,θ，κ信息，其方法是根据接收权值模拟一个接收过程，通过遍历CMatrix1，CMatrix2，θ，κ等参数，使得在某个准则下最优，这个准则可以是最大化信干噪比、最小化误差等。这样即可通过约定的函数表征出选定的准则下最佳的W，基站即可基于W进行数据预编码处理。
例如：对于秩为2或传输层数为2的情况
CMatrix1可以为以下码本中的一个码字，终端基于该码本进行码字选择和反馈，i1 i2，共同指示一个模型为
Figure PCTCN2015078811-appb-000165
的码字，i1 i2组成索引集合I1，分别需要4bit，3bit指示信令反馈，这里vm vm'为Mt/2维的矢量，可以根据信道的相关性，天线阵列的形状确定其具体模型。例如：如果考虑比较相关的2D MIMO(线阵天线排布，只支持垂直或水平维度的波束赋形)，那么vm,vm'可以为DFT矢量，其数学形式为：
vm＝[1 ej2πm/32 … ej(Nt-2)πm/32]T，vm'＝[1 ej2πm'/32 … ej(Nt-2)πm'/32]T；
如果考虑3D MIMO(矩阵天线排布，支持垂直水平两个维度的波束赋形)，那么vm,vm'可以为两个DFT矢量的Kroneck克罗内克积形式，如果考虑非相关信道，那么vm,vm'可以为一个Mt/2维的Gransmannian码本中的码字。码字个数可以根据反馈精度需求确定。如表9所示，
表9
Figure PCTCN2015078811-appb-000166
Figure PCTCN2015078811-appb-000167
CMatrix2可以从一个所有码字符合模型
Figure PCTCN2015078811-appb-000168
的码本中选取，例如：CMatrix2可以为以下码本中的一个码字，终端基于该码本进行码字选择和反馈，i3 i4共同指示一个模型为
Figure PCTCN2015078811-appb-000169
的码字，i3 i4组成索引集合I2，分别需要3bit，2bit指示信令反馈，这里vq vq'为Mt/2维的矢量，可以根据信道的相关性，2D or 3D MIMO确定其具体模型。例如：如果考虑比较相关的2D MIMO(线阵天线排布，只支持垂直或水平维度的波束赋形)，那么vq vq'可以为DFT矢量，其数学形式为：
vq＝[1 ej2πq/32 … ej(Nt-2)πq/32]T，vq'＝[1 ej2πq'/32 … ej(Nt-2)πq'/32]T，如果考虑3D MIMO(矩阵天线排布，支持垂直水平两个维度的波束赋形)，那么vq vq'可以为两个DFT矢量的Kroneck积形式，如果考虑非相关信道，那么vq vq'可以为一个Mt/2维的Gransmannian码本中的码字。码字个数可以根据反馈精度需求确定，但一般索引集合I2(i3 i4)的反馈开销之和小于索引集合I1(i1 i2)的反馈开销之和。如表10所示，
表10
Figure PCTCN2015078811-appb-000170
也有可能是秩为4或传输层数为4的情况，
CMatrix1可以为以下码本中的一个码字，终端基于该码本进行码字选择和反馈。如表11所示，
表11
Figure PCTCN2015078811-appb-000171
Figure PCTCN2015078811-appb-000172
索引集合I2可以包括：i1i2，分别需要3bit，2bit指示信令反馈，这里vm,vm'为Mt/2维的矢量，可以根据信道的相关性，2D or 3D MIMO确定其具体模型。例如：如果考虑比较相关的2D MIMO(线阵天线排布，只支持垂直或水平维度的波束赋形)，那么vm,vm'可以为DFT矢量，如果考虑3D MIMO(矩阵天线排布，支持垂直水平两个维度的波束赋形)，那么vm,vm'可以为两个DFT矢量的Kroneck积形式，如果考虑非相关信道，那么vm,vm'可以为一个Mt/2维的Gransmannian码本中的码字。码字个数可以根据反馈精度需求确定。
CMatrix2可以为以下码本中的一个码字，终端基于该码本进行码字选择和反馈。如表12所示，
表12
Figure PCTCN2015078811-appb-000173
索引集合I2可以包括：索引i3i4，分别需要2bit指示信令反馈，这里vm1,vm2,vm1',vm2'为Mt/2维的矢量，可以根据信道的相关性，2D or 3D MIMO确定其具体模型。例如：如果考虑比较相关的2D MIMO(线阵天线排布，只支持垂直或水平维度的波束赋形)，那么vm1,vm2,vm1',vm2'可以为DFT矢量，如果考虑3D MIMO(矩阵天线排布，支持垂直水平两个维度的波束赋形)，那么vm1,vm2,vm1',vm2'可以为两个DFT矢量的Kroneck积形式，如果考虑非相关信道，那么vm1,vm2,vm1',vm2'可以为一个Mt/2维的Gransmannian码本中的码字。码字个数可以根据反馈精度需求确定，但一般索引集合I2(i3i4)的反馈开销之和小于索引集合I1(i1i2)的反馈开销之和。
终端除了需要计算出CMatrix1和CMatrix2外，还需要计算相位信息θ，比例信息κ，相位信息θ可以通过ejθ进行表征。ejθ可以通过一个码本进行量化，例如：2bit码本{1 j -1 –j}或者3bit码本{1 j -1 –j q0 q1 q2 q3}，其中，
Figure PCTCN2015078811-appb-000174
Figure PCTCN2015078811-appb-000175
κ也可以用一个码本进行量化，例如：[-4dB,-5dB-6dB,-8dB]。
终端计算出上述CMatrix1，CMatrix2，θ，κ信息后，在上行信道上反馈指示这些信息的索引信息。所有的码本都是在收发端共同保存的，因此，基站在接收到这些指示信息后，即可根据相同的码本找到对应CMatrix1，CMatrix2，θ，κ信息，进而根据事先约定好的函数F(CMatrix1,CMatrix2,θ,κ)获得特征矢量信息或预编码信息CMatrix，即终端选择出的W。
进而，基站可以利用该W进行预编码。
优选实施例三
对于上述优选实施例一和优选实施例二中，相位θ可以为一个预设的固定值，例如：θ可以取值为0，那么ejθ＝1；或者，相位θ可以为一个基站预先配置给终端的值。
函数F(CMatrix1,CMatrix2,θ,κ)实际上简化为F(CMatrix1,CMatrix2,κ)；
对于上述优选实施例一和优选实施例二中，比例κ可以为一个基站预先配置给终端的值。函数F(CMatrix1,CMatrix2,θ,κ)实际上简化为F(CMatrix1,CMatrix2,θ)。
对于上述情况，终端在选择最优的其他参数时可以考虑相位θ和/或比例κ为一个已知变量，而不需要进行计算和反馈。
函数F(CMatrix1,CMatrix2,θ,κ)实际上可以简化为：
F(CMatrix1,CMatrix2,κ)、F(CMatrix1,CMatrix2,θ)或者F(CMatrix1,CMatrix2)。
基站在通过函数F计算获得CMatrix时，直接使用与终端相同的已知变量相位θ和/或比例κ。
优选实施例四
对于上述优选实施例一和优选实施例二中，，可以考虑i1＝findex(i3)以减少反馈开销，例如：如果i1索引选择为Index，findex(i3)为一个线性函数，例如：findex(i3)＝i3+q，其中，q为整数。反馈i1或i3实际上即可获知i1和i3两个索引的信息。
优选实施例五
基站发送信道测量导频，以Nt根发送天线为例，在两个互相垂直的极化方向上分别有Nt/2根天线。基站发送总共Nt个端口的一套CSI-RS导频。终端获得基站发送的 导频配置信息，在对应的资源位置上进行检测，以获得Nr x Nt维的信道矩阵H的信息。此处，Nr为接收天线数。
终端与基站预先约定使用以下的函数来表征信道矩阵的特征矢量信息或预编码信息。
Figure PCTCN2015078811-appb-000176
其中，
Figure PCTCN2015078811-appb-000177
为DMatrix1，
Figure PCTCN2015078811-appb-000178
为DMatrix2，终端根据测量的信道信息可以计算出：
终端与基站预先约定使用以下的模型来表征DMatrix1的特征矢量信息，
Figure PCTCN2015078811-appb-000179
终端与基站预先约定使用以下的模型来表征DMatrix2的特征矢量信息，
Figure PCTCN2015078811-appb-000180
其中，a为预先约定固定的取值1，-1，j，-j中的任一个或者是根据信道信息计算得到的，N为固定的取值，例如：2、3或4，也可以由基站进行信令配置或者终端根据信道信息确定。上述模型可以按照固定方式乘以一个复数标量，以表示特征矢量方向信息不变，而不影响其包含的信息。在基站侧进行归一化处理即可。
终端根据Nr×Nt维度的信道矩阵，选取上述模型中最佳的u1…uN，A1…AN以及最佳的θ1…θN，
Figure PCTCN2015078811-appb-000181
的取值，并反馈至基站。
这里u1…uN，A1…AN可以进行宽带反馈和长时反馈，θ1…θN进行子带的反馈和短时反馈。基站根据接收到的A1…AN，u1…uN及θ1…θN，
Figure PCTCN2015078811-appb-000182
信息，根据约定的 上述模型构造出DMatrix1特征矢量，并且，根据上述矩阵归一化时提取出的系数可以获得DMatrix1和DMatrix2的特征值信息。
基于特征矢量和特征值，基站可以重构出DMatrix1和DMatrix2，进而结合κ通过函数Q(DMatrix1，DMatrix2，κ)：
Figure PCTCN2015078811-appb-000183
可以获得HHH的信息。
在优选实施过程中，上述函数f(κ)可以为以下之一：
Figure PCTCN2015078811-appb-000184
其中，q为大于0的实数，在该优选实施例中，q的优选取值为：q＝0.5、1或2。
根据HHH可以将计算出下行信道预编码。
优选实施例六
基站发送信道测量导频，以Nt根发送天线为例，在两个互相垂直的极化方向上分别有Nt/2根天线。基站发送总共Nt个端口的一套CSI-RS导频。终端获得基站发送的导频配置信息，在对应的资源位置上进行检测，以获得Nr×Nt维的信道矩阵H的信息。此处，Nr为接收天线数。
终端与基站预先约定使用以下的函数来表征信道矩阵的特征矢量信息或预编码信息。
Figure PCTCN2015078811-appb-000185
其中，
Figure PCTCN2015078811-appb-000186
为DMatrix1，
Figure PCTCN2015078811-appb-000187
为DMatrix2。终端根据测量的信道信息计算出：
终端与基站预先约定使用以下的模型来表征DMatrix1的特征矢量信息，
Figure PCTCN2015078811-appb-000188
终端与基站预先约定使用以下的模型来表征DMatrix2的特征矢量信息，
Figure PCTCN2015078811-appb-000189
其中，a为预先约定固定的取值1，-1，j，-j中的任一个或者是根据信道信息计算得到的，N为固定取值，例如：2、3或4，也可以由基站进行信令配置或者终端根据信道信息确定。上述模型可以按照固定方式乘以一个复数标量，以表示特征矢量的方向信息不变，而不影响其包含的信息。在基站侧进行归一化处理即可。
终端可以根据Nr×Nt维度的信道矩阵，选取上述模型中最佳的u1…uN，A1…AN以及最佳的θ1…θN，
Figure PCTCN2015078811-appb-000190
的取值，并反馈至基站。这里u1…uN，A1…AN可以进行宽带反馈和长时反馈，θ1…θN进行子带的反馈和短时反馈。
基站根据接收到的A1…AN，u1…uN及θ1…θN，
Figure PCTCN2015078811-appb-000191
信息，并根据约定的上述模型构造出DMatrix1特征矢量，以及根据上述矩阵归一化处理时提取到的系数可以获得DMatrix1和DMatrix2的特征值信息。
基于特征矢量和特征值，基站可以重构出DMatrix1和DMatrix2，进而结合κ通过函数Q(DMatrix1，DMatrix2，κ)：
Figure PCTCN2015078811-appb-000192
可以获得HHH的信息。
在优选实施过程中，上述函数f(κ)为以下之一：
Figure PCTCN2015078811-appb-000193
其中，q为大于0的实数，在该优选实施例中，q的优选取值为：q＝0.5，1或2。
根据HHH可以将计算出下行信道预编码。
图8是根据本发明实施例的信道信息的量化反馈装置的结构框图。如图8所示，该信道信息的量化反馈装置可以包括：接收模块80，设置为接收来自于基站的信道测量导频信号；获取模块82，设置为根据信道测量导频信号进行信道测量，获取信道信息；计算模块84，设置为采用信道信息计算第一矩阵CMatrix1和第二矩阵CMatrix2，其中，CMatrix1和CMatrix2用于对信道信息进行量化或指示基站进行预编码；反馈模块86，设置为向基站反馈CMatrix1的第一指示信息和/或CMatrix2的第二指示信息。
采用如图8所示的装置，解决了相关技术中所设计的反馈模型缺乏考虑极化泄露情况的问题，进而由于在反馈设计中考虑了极化泄露产生的影响，因此在实际发生极化泄露的情况下存在显著的性能增益。
在优选实施例中，CMatrix1是以
Figure PCTCN2015078811-appb-000194
或者
Figure PCTCN2015078811-appb-000195
为模型的矩阵，CMatrix2是以
Figure PCTCN2015078811-appb-000196
或者
Figure PCTCN2015078811-appb-000197
为模型的矩阵，而Vn、Vm、Vi以及Vj可以但不限于为以下之一：
(1)Mt/2行floor(r/2)列的矢量；
(2)Mt/2行floor(r/2)列的正交矩阵；
(3)Mt/2行floor(r/2)+1列的正交矩阵；
Mt为发送天线的数量，floor(r/2)表示对r/2向下取整，r表示传输层数信息或秩信息，a、α以及β均为复数。
优选地，如图9所示，上述装置还可以包括：构建模块88，设置为通过函数F(CMatrix1,CMatrix2,θ,κ)构建第三矩阵CMatrix，其中，CMatrix用于表征量化后的信道特征信息或指示基站进行预编码，θ为相位，κ为实数。
在优选实施过程中，θ是由基站确定并由高层配置信令通知的相位参数，或者，θ是根据信道信息计算得到并向基站反馈θ的第三指示信息。
在优选实施过程中，κ是由基站确定并由高层配置信令通知的比例参数，或者，κ是根据信道信息计算得到并向基站反馈κ的第四指示信息。
优选地，CMatrix1采用第一码本(CB1)进行反馈，其中，CB1中包含的码字模型均为
Figure PCTCN2015078811-appb-000198
或
Figure PCTCN2015078811-appb-000199
在优选实施过程中，a的取值为1和/或j。
优选地，CMatrix1是由多个PMI构成的I1共同指示确定的。
优选地，CMatrix2采用CB2进行反馈，其中，CB2中包含的码字模型均为
Figure PCTCN2015078811-appb-000200
或
Figure PCTCN2015078811-appb-000201
在优选实施过程中，α和β的取值为1。
优选地，CMatrix2是由多个PMI构成的I2共同指示确定的。
在优选实施过程中，在I1和I2中至少包括一个相同的索引。
优选地，F(CMatrix1,CMatrix2,θ,κ)＝CMatrix1+ejθ*f(κ)*CMatrix2，其中，f(κ)为自变量为κ的函数。
在优选实施过程中，f(κ)可以但不限于为以下之一：
Figure PCTCN2015078811-appb-000202
Figure PCTCN2015078811-appb-000203
Figure PCTCN2015078811-appb-000204
Figure PCTCN2015078811-appb-000205
其中，q为大于0的实数。
在优选实施过程中，q＝0.5、1或2。
图10是根据本发明实施例的数据的预编码装置的结构框图。如图10所示，该数据的预编码装置可以包括：接收模块100，设置为接收来自于终端的指示信息集合，其中，指示信息集合为以下之一：第一矩阵CMatrix1的第一指示信息以及第二矩阵CMatrix2的第二指示信息，第一指示信息、第二指示信息以及相位θ的第三指示信息，第一指示信息、第二指示信息、第三指示信息以及比例κ的第四指示信息；获取模块102，设置为当指示信息集合包含第一指示信息和第二指示信息时，通过第一指示信息获取CMatrix1以及通过第二指示信息获取CMatrix2；或者，当指示信息集合包含第一指示信息、第二指示信息和相位θ的第三指示信息时，通过第一指示信息获取CMatrix1、通过第二指示信息获取CMatrix2以及通过第三指示信息获取θ；或者，当指示信息集合包含第一指示信息、第二指示信息、第三指示信息和第四指示信息时，通过第一指示信息获取CMatrix1、通过第二指示信息获取CMatrix2、通过第三指示信息获取θ以及通过第四指示信息获取κ；计算模块104，设置为当指示信息集合包含第一指示信息和第二指示信息时，采用获取到的CMatrix1、CMatrix2以及预先确定并下发至终端的θ和κ按照与终端预先约定的函数F(CMatrix1,CMatrix2,θ,κ)计算得到第三矩阵CMatrix；或者，当指示信息集合包含第一指示信息、第二指示信息和相位θ的第三指示信息时，采用获取到的CMatrix1、CMatrix2、θ以及预先确定并下发至终端的κ按照函数F(CMatrix1,CMatrix2,θ,κ)计算得到CMatrix；或者，当指示信息集合包含第一指示信息、第二指示信息、第三指示信息和第四指示信息时，采用获取到的CMatrix1、CMatrix2、θ以及κ按照函数F(CMatrix1,CMatrix2,θ,κ)计算得到CMatrix；预编码模块106，设置为采用CMatrix进行数据预编码。
图11是根据本发明实施例的另一种信道信息的量化反馈装置的结构框图。如图11所示，该信道信息的量化反馈装置可以包括：接收模块110，设置为接收来自于基站的信道测量导频信号；获取模块112，设置为根据信道测量导频信号进行信道测量，获取信道信息；计算模块114，设置为采用信道信息计算第一类信息、第二类信息以及第三类信息，其中，第一类信息包括：指示N个矢量u1、u2、……uN的信息，第二类信息包括：P个加权幅度信息A1,A2,…AP的指示信息，第三类信息包括：两套相位参数集合的指示信息，第一套相位参数集合为
Figure PCTCN2015078811-appb-000206
第二套相位参数集合为
Figure PCTCN2015078811-appb-000207
u1，u2，……uN，A1,A2,…AP和
Figure PCTCN2015078811-appb-000208
通过预定义的函数F1(u1，u2，……uN，A1,A2,…AP，
Figure PCTCN2015078811-appb-000209
)表征一个形式为
Figure PCTCN2015078811-appb-000210
或
Figure PCTCN2015078811-appb-000211
的对称矩阵DMatrix1，u1，u2，……uN，A1,A2,…AP和
Figure PCTCN2015078811-appb-000212
通过预定义的函数F2(u1，u2，……uN，A1,A2,…AP，
Figure PCTCN2015078811-appb-000213
)表征一个形式为
Figure PCTCN2015078811-appb-000214
或
Figure PCTCN2015078811-appb-000215
的矩阵 DMatrix2，C、D、E以及F均为Mt/2×Mt/2的厄米特Hermitian矩阵，Mt为发送天线的数量，DMatrix1和DMatrix2通过预先约定的函数Q(DMatrix1，DMatrix2)表征信道的自相关矩阵信息R或者信道的特征信息/预编码信息W；反馈模块116，设置为将第一类信息的第一指示信息、第二类信息的第二指示信息以及第三类信息的第三指示信息发送至基站。
图12是根据本发明实施例的另一种数据的预编码装置的结构框图。如图12所示，该数据的预编码装置可以包括：接收模块120，设置为接收来自于终端的第一类信息的第一指示信息、第二类信息的第二指示信息以及第三类信息的第三指示信息，其中，第一类信息包括：指示N个矢量u1、u2、……uN的信息，第二类信息包括：P个加权幅度信息A1,A2,…AP的指示信息，第三类信息包括：两套相位参数集合的指示信息，第一套相位参数集合为
Figure PCTCN2015078811-appb-000216
第二套相位参数集合为
Figure PCTCN2015078811-appb-000217
u1，u2，……uN，A1,A2,…AP和
Figure PCTCN2015078811-appb-000218
通过预定义的函数F1(u1，u2，……uN，A1,A2,…AP，
Figure PCTCN2015078811-appb-000219
)表征一个形式为
Figure PCTCN2015078811-appb-000220
或
Figure PCTCN2015078811-appb-000221
的对称矩阵DMatrix1，u1，u2，……uN，A1,A2,…AP和
Figure PCTCN2015078811-appb-000222
通过预定义的函数F2(u1，u2，……uN，A1,A2,…AP，
Figure PCTCN2015078811-appb-000223
)表征一个形式为
Figure PCTCN2015078811-appb-000224
或
Figure PCTCN2015078811-appb-000225
的矩阵DMatrix2，C、D、E以及F均为Mt/2×Mt/2的厄米特Hermitian矩阵，Mt为发送天线的数量，DMatrix1和DMatrix2通过预先约定的函数Q(DMatrix1，DMatrix2)表征信道的自相关矩阵信息R或者信道的特征信息/预编码信息W；获取模块122，设置为根据第一指示信息获取第一类信息、根据第二指示信息获取第二类信息以及根据第三指示信息获取第三类信息；计算模块124，设置为采用第一类信息、第二类信息以及第三类信息计算得到DMatrix1和DMatrix2，并通过Q(DMatrix1，DMatrix2)计算出R或W；预编码模块126，设置为根据R或W进行数据预编码。
从以上的描述中，可以看出，上述实施例实现了如下技术效果(需要说明的是这些效果是某些优选实施例可以达到的效果)：采用本发明实施例所提供的技术方案，由于在反馈设计中考虑了极化泄露所产生的影响
Figure PCTCN2015078811-appb-000226
和
Figure PCTCN2015078811-appb-000227
相对于现有技术仅考虑
Figure PCTCN2015078811-appb-000228
的假设而言，本发明实施例的反馈设计在实际发生极化泄露的情况下存在显著的性能增益。
显然，本领域的技术人员应该明白，上述的本发明的各模块或各步骤可以用通用的计算装置来实现，它们可以集中在单个的计算装置上，或者分布在多个计算装置所 组成的网络上，可选地，它们可以用计算装置可执行的程序代码来实现，从而，可以将它们存储在存储装置中由计算装置来执行，并且在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤，或者将它们分别制作成各个集成电路模块，或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。这样，本发明不限制于任何特定的硬件和软件结合。
以上所述仅为本发明的优选实施例而已，并不用于限制本发明，对于本领域的技术人员来说，本发明可以有各种更改和变化。凡在本发明的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。
工业实用性
如上所述，本发明实施例提供的一种信道信息的量化反馈、数据的预编码方法及装置具有以下有益效果：本发明实施例所提供的反馈设计能够在实际发生极化泄露的情况下存在显著的性能增益。

Claims (36)

  1. 一种信道信息的量化反馈方法，包括：
    接收来自于基站的信道测量导频信号；
    根据所述信道测量导频信号进行信道测量，获取信道信息；
    采用所述信道信息计算第一矩阵CMatrix1和第二矩阵CMatrix2，其中，所述CMatrix1和所述CMatrix2用于对所述信道信息进行量化或指示所述基站进行预编码；
    向所述基站反馈所述CMatrix1的第一指示信息和/或所述CMatrix2的第二指示信息。
  2. 根据权利要求1所述的方法，其中，
    所述CMatrix1是以
    Figure PCTCN2015078811-appb-100001
    或者
    Figure PCTCN2015078811-appb-100002
    为模型的矩阵，所述CMatrix2是以
    Figure PCTCN2015078811-appb-100003
    或者
    Figure PCTCN2015078811-appb-100004
    为模型的矩阵，所述Vn、所述Vm、所述Vi以及所述Vj为以下之一：Mt/2行floor(r/2)列的矢量、Mt/2行floor(r/2)列的正交矩阵、Mt/2行floor(r/2)+1列的正交矩阵，Mt为发送天线的数量，floor(r/2)表示对r/2向下取整，r表示传输层数信息或秩信息，所述a、所述α以及所述β均为复数。
  3. 根据权利要求2所述的方法，其中，在采用所述信道信息计算所述CMatrix1和所述CMatrix2之后，还包括：
    通过函数F(CMatrix1,CMatrix2,θ,κ)构建第三矩阵CMatrix，其中，所述CMatrix用于表征量化后的信道特征信息或指示所述基站进行预编码，所述θ为相位，所述κ为实数。
  4. 根据权利要求3所述的方法，其中，所述θ是由所述基站确定并由高层配置信令通知的相位参数，或者，所述θ是根据所述信道信息计算得到并向所述基站反馈所述θ的第三指示信息。
  5. 根据权利要求3所述的方法，其中，所述κ是由所述基站确定并由高层配置信令通知的比例参数，或者，所述κ是根据所述信道信息计算得到并向所述基站反馈所述κ的第四指示信息。
  6. 根据权利要求1至5中任一项所述的方法，其中，所述CMatrix1采用第一码本CB1进行反馈，其中，所述CB1中包含的码字模型均为
    Figure PCTCN2015078811-appb-100005
    或
    Figure PCTCN2015078811-appb-100006
  7. 根据权利要求6所述的方法，其中，所述a的取值为1和/或j。
  8. 根据权利要求1至5中任一项所述的方法，其中，所述CMatrix1是由多个预编码指示索引PMI构成的第一集合I1共同指示确定的。
  9. 根据权利要求1至5中任一项所述的方法，其中，所述CMatrix2采用第二码本CB2进行反馈，其中，所述CB2中包含的码字模型均为
    Figure PCTCN2015078811-appb-100007
    或
    Figure PCTCN2015078811-appb-100008
  10. 根据权利要求9所述的方法，其中，所述α和所述β的取值为1。
  11. 根据权利要求1至5中任一项所述的方法，其中，所述CMatrix2是由多个预编码指示索引PMI构成的第二集合I2共同指示确定的。
  12. 根据权利要求8或11所述的方法，其中，在所述I1和所述I2中至少包括一个相同的索引。
  13. 根据权利要求3所述的方法，其中，
    F(CMatrix1,CMatrix2,θ,κ)＝CMatrix1+ejθ*f(κ)*CMatrix2，其中，所述f(κ)为自变量为所述κ的函数。
  14. 根据权利要求13所述的方法，其中，所述f(κ)为以下之一：
    Figure PCTCN2015078811-appb-100009
    其中，所述q为大于0的实数。
  15. 根据权利要求14所述的方法，其中，q＝0.5、1或2。
  16. 一种数据的预编码方法，包括：
    接收来自于终端的指示信息集合，其中，所述指示信息集合为以下之一：第一矩阵CMatrix1的第一指示信息以及第二矩阵CMatrix2的第二指示信息，所述第一指示信息、所述第二指示信息以及相位θ的第三指示信息，所述第一指示信息、所述第二指示信息、所述第三指示信息以及比例κ的第四指示信息；
    当所述指示信息集合包含所述第一指示信息和所述第二指示信息时，通过所述第一指示信息获取所述CMatrix1以及通过所述第二指示信息获取所述CMatrix2；或者，当所述指示信息集合包含所述第一指示信息、所述第二指示信息和相位θ的第三指示信息时，通过所述第一指示信息获取所述CMatrix1、通过所述第二指示信息获取所述CMatrix2以及通过所述第三指示信息获取所述θ；或者，当所述指示信息集合包含所述第一指示信息、所述第二指示信息、所述第三指示信息和所述第四指示信息时，通过所述第一指示信息获取所述CMatrix1、通过所述第二指示信息获取所述CMatrix2、通过所述第三指示信息获取所述θ以及通过所述第四指示信息获取所述κ；
    当所述指示信息集合包含所述第一指示信息和所述第二指示信息时，采用获取到的所述CMatrix1、所述CMatrix2以及预先确定并下发至所述终端的所述θ和所述κ按照与所述终端预先约定的函数F(CMatrix1,CMatrix2,θ,κ)计算得到第三矩阵CMatrix；或者，当所述指示信息集合包含所述第一指示信息、所述第二指示信息和相位θ的第三指示信息时，采用获取到的所述CMatrix1、所述CMatrix2、所述θ以及预先确定并下发至所述终端的所述κ按照所述函数F(CMatrix1,CMatrix2,θ,κ)计算得到所述CMatrix；或者，当所述指示信息集合包含所述第一指示信息、所述第二指示信息、所述第三指示信息和所述第四指示信息时，采用获取到的所述CMatrix1、所述CMatrix2、所述θ以及所述κ按照所述函数F(CMatrix1,CMatrix2,θ,κ)计算得到所述CMatrix；
    采用所述CMatrix进行数据预编码。
  17. 一种信道信息的量化反馈方法，包括：
    接收来自于基站的信道测量导频信号；
    根据所述信道测量导频信号进行信道测量，获取信道信息；
    采用所述信道信息计算第一类信息、第二类信息以及第三类信息，其中，所述第一类信息包括：指示N个矢量u1、u2、……uN的信息，所述第二类信息包括：P个加权幅度信息A1,A2,···AP的指示信息，所述第三类信息包括：两 套相位参数集合的指示信息，第一套相位参数集合为
    Figure PCTCN2015078811-appb-100010
    第二套相位参数集合为
    Figure PCTCN2015078811-appb-100011
    u1，u2，……uN，A1,A2,···AP和
    Figure PCTCN2015078811-appb-100012
    通过预定义的函数F1(u1，u2，……uN，A1,A2,···AP，
    Figure PCTCN2015078811-appb-100013
    )表征一个形式为
    Figure PCTCN2015078811-appb-100014
    或
    Figure PCTCN2015078811-appb-100015
    的对称矩阵DMatrix1，u1，u2，……uN，A1,A2,···AP和
    Figure PCTCN2015078811-appb-100016
    通过预定义的函数F2(u1，u2，……uN，A1,A2,···AP，
    Figure PCTCN2015078811-appb-100017
    )表征一个形式为
    Figure PCTCN2015078811-appb-100018
    或
    Figure PCTCN2015078811-appb-100019
    的矩阵DMatrix2，所述C、所述D、所述E以及所述F均为Mt/2×Mt/2的厄米特Hermitian矩阵，所述Mt为发送天线的数量，所述DMatrix1和所述DMatrix2通过预先约定的函数Q(DMatrix1，DMatrix2)表征信道的自相关矩阵信息R或者信道的特征信息/预编码信息W；
    将所述第一类信息的第一指示信息、所述第二类信息的第二指示信息以及所述第三类信息的第三指示信息发送至所述基站。
  18. 一种数据的预编码方法，包括：
    接收来自于终端的第一类信息的第一指示信息、所述第二类信息的第二指示信息以及所述第三类信息的第三指示信息，其中，所述第一类信息包括：指示N个矢量u1、u2、……uN的信息，所述第二类信息包括：P个加权幅度信息A1,A2,···AP的指示信息，所述第三类信息包括：两套相位参数集合的指示信息，第一套相位参数集合为
    Figure PCTCN2015078811-appb-100020
    第二套相位参数集合为
    Figure PCTCN2015078811-appb-100021
    u1，u2，……uN，A1,A2,···AP和
    Figure PCTCN2015078811-appb-100022
    通过预定义的函数F1(u1，u2，……uN，A1,A2,···AP，
    Figure PCTCN2015078811-appb-100023
    )表征一个形式为
    Figure PCTCN2015078811-appb-100024
    或
    Figure PCTCN2015078811-appb-100025
    的对称矩阵DMatrix1，u1，u2，……uN，A1,A2,···AP和
    Figure PCTCN2015078811-appb-100026
    通过预定义的函数F2(u1，u2，……uN，A1,A2,···AP，
    Figure PCTCN2015078811-appb-100027
    )表征一个形式为
    Figure PCTCN2015078811-appb-100028
    或
    Figure PCTCN2015078811-appb-100029
    的矩阵DMatrix2，所述C、所述D、所述E以及所述F均为Mt/2×Mt/2的厄米特Hermitian矩阵，所述Mt为发送天线的数量，所述DMatrix1和所述DMatrix2通过预先约定的函数Q(DMatrix1，DMatrix2)表征信道的自相关矩阵信息R或者信道的特征信息/预编码信息W；
    根据所述第一指示信息获取所述第一类信息、根据所述第二指示信息获取所述第二类信息以及根据所述第三指示信息获取所述第三类信息；
    采用所述第一类信息、所述第二类信息以及所述第三类信息计算得到所述DMatrix1和所述DMatrix2，并通过所述Q(DMatrix1，DMatrix2)计算出所述R或所述W；
    根据所述R或所述W进行数据预编码。
  19. 一种信道信息的量化反馈装置，包括：
    接收模块，设置为接收来自于基站的信道测量导频信号；
    获取模块，设置为根据所述信道测量导频信号进行信道测量，获取信道信息；
    计算模块，设置为采用所述信道信息计算第一矩阵CMatrix1和第二矩阵CMatrix2，其中，所述CMatrix1和所述CMatrix2用于对所述信道信息进行量化或指示所述基站进行预编码；
    反馈模块，设置为向所述基站反馈所述CMatrix1的第一指示信息和/或所述CMatrix2的第二指示信息。
  20. 根据权利要求19所述的装置，其中，
    所述CMatrix1是以
    Figure PCTCN2015078811-appb-100030
    或者
    Figure PCTCN2015078811-appb-100031
    为模型的矩阵，所述CMatrix2是以
    Figure PCTCN2015078811-appb-100032
    或者
    Figure PCTCN2015078811-appb-100033
    为模型的矩阵，所述Vn、所述Vm、所述Vi以及所述Vj为以下之一：Mt/2行floor(r/2)列的矢量、Mt/2行floor(r/2)列的正交矩阵、Mt/2行floor(r/2)+1列的正交矩阵，Mt为发送天线的数量，floor(r/2)表示对r/2向下取整，r表示传输层数信息或秩信息，所述a、所述α以及所述β均为复数。
  21. 根据权利要求20所述的装置，其中，所述装置还包括：
    构建模块，设置为通过函数F(CMatrix1,CMatrix2,θ,κ)构建第三矩阵CMatrix，其中，所述CMatrix用于表征量化后的信道特征信息或指示所述基站进行预编码，所述θ为相位，所述κ为实数。
  22. 根据权利要求21所述的装置，其中，所述θ是由所述基站确定并由高层配置信令通知的相位参数，或者，所述θ是根据所述信道信息计算得到并向所述基站反馈所述θ的第三指示信息。
  23. 根据权利要求21所述的装置，其中，所述κ是由所述基站确定并由高层配置信令通知的比例参数，或者，所述κ是根据所述信道信息计算得到并向所述基站反馈所述κ的第四指示信息。
  24. 根据权利要求19至23中任一项所述的装置，其中，所述CMatrix1采用第一码本CB1进行反馈，其中，所述CB1中包含的码字模型均为
    Figure PCTCN2015078811-appb-100034
    或
    Figure PCTCN2015078811-appb-100035
  25. 根据权利要求24所述的装置，其中，所述a的取值为1和/或j。
  26. 根据权利要求19至23中任一项所述的装置，其中，所述CMatrix1是由多个预编码指示索引PMI构成的第一集合I1共同指示确定的。
  27. 根据权利要求19至23中任一项所述的装置，其中，所述CMatrix2采用第二码本CB2进行反馈，其中，所述CB2中包含的码字模型均为
    Figure PCTCN2015078811-appb-100036
    或
    Figure PCTCN2015078811-appb-100037
  28. 根据权利要求27所述的装置，其中，所述α和所述β的取值为1。
  29. 根据权利要求19至23中任一项所述的装置，其中，所述CMatrix2是由多个预编码指示索引PMI构成的第二集合I2共同指示确定的。
  30. 根据权利要求26或29所述的装置，其中，在所述I1和所述I2中至少包括一个相同的索引。
  31. 根据权利要求21所述的装置，其中，
    F(CMatrix1,CMatrix2,θ,κ)＝CMatrix1+ejθ*f(κ)*CMatrix2，其中，所述f(κ)为自变量为所述κ的函数。
  32. 根据权利要求31所述的装置，其中，所述f(κ)为以下之一：
    Figure PCTCN2015078811-appb-100038
    其中，所述q为大于0的实数。
  33. 根据权利要求32所述的装置，其中，q＝0.5、1或2。
  34. 一种数据的预编码装置，包括：
    接收模块，设置为接收来自于终端的指示信息集合，其中，所述指示信息集合为以下之一：第一矩阵CMatrix1的第一指示信息以及第二矩阵CMatrix2的第二指示信息，所述第一指示信息、所述第二指示信息以及相位θ的第三指示信息，所述第一指示信息、所述第二指示信息、所述第三指示信息以及比例κ的第四指示信息；
    获取模块，设置为当所述指示信息集合包含所述第一指示信息和所述第二指示信息时，通过所述第一指示信息获取所述CMatrix1以及通过所述第二指示信息获取所述CMatrix2；或者，当所述指示信息集合包含所述第一指示信息、所述第二指示信息和相位θ的第三指示信息时，通过所述第一指示信息获取所述CMatrix1、通过所述第二指示信息获取所述CMatrix2以及通过所述第三指示信息获取所述θ；或者，当所述指示信息集合包含所述第一指示信息、所述第二指示信息、所述第三指示信息和所述第四指示信息时，通过所述第一指示信息获取所述CMatrix1、通过所述第二指示信息获取所述CMatrix2、通过所述第三指示信息获取所述θ以及通过所述第四指示信息获取所述κ；
    计算模块，设置为当所述指示信息集合包含所述第一指示信息和所述第二指示信息时，采用获取到的所述CMatrix1、所述CMatrix2以及预先确定并下发至所述终端的所述θ和所述κ按照与所述终端预先约定的函数F(CMatrix1,CMatrix2,θ,κ)计算得到第三矩阵CMatrix；或者，当所述指示信息集合包含所述第一指示信息、所述第二指示信息和相位θ的第三指示信息时，采用获取到的所述CMatrix1、所述CMatrix2、所述θ以及预先确定并下发至所述终端的所述κ按照所述函数F(CMatrix1,CMatrix2,θ,κ)计算得到所述CMatrix；或者，当所述指示信息集合包含所述第一指示信息、所述第二指示信息、所述第三指示信息和所述第四指示信息时，采用获取到的所述CMatrix1、所述CMatrix2、所述θ以及所述κ按照所述函数F(CMatrix1,CMatrix2,θ,κ)计算得到所述CMatrix；
    预编码模块，设置为采用所述CMatrix进行数据预编码。
  35. 一种信道信息的量化反馈装置，包括：
    接收模块，设置为接收来自于基站的信道测量导频信号；
    获取模块，设置为根据所述信道测量导频信号进行信道测量，获取信道信息；
    计算模块，设置为采用所述信道信息计算第一类信息、第二类信息以及第三类信息，其中，所述第一类信息包括：指示N个矢量u1、u2、……uN的信息，所述第二类信息包括：P个加权幅度信息A1,A2,···AP的指示信息，所述第三类信息包括：两套相位参数集合的指示信息，第一套相位参数集合为
    Figure PCTCN2015078811-appb-100039
    第二套相位参数集合为
    Figure PCTCN2015078811-appb-100040
    u1，u2，……uN，A1,A2,···AP和
    Figure PCTCN2015078811-appb-100041
    通过预定义的函数F1(u1，u2，……uN，A1,A2,···AP，
    Figure PCTCN2015078811-appb-100042
    )表征一个形式为
    Figure PCTCN2015078811-appb-100043
    或
    Figure PCTCN2015078811-appb-100044
    的对称矩阵DMatrix1，u1，u2，……uN，A1,A2,···AP和
    Figure PCTCN2015078811-appb-100045
    通过预定义的函数F2(u1，u2，……uN，A1,A2,···AP，
    Figure PCTCN2015078811-appb-100046
    )表征一个形式为
    Figure PCTCN2015078811-appb-100047
    或
    Figure PCTCN2015078811-appb-100048
    的矩阵DMatrix2，所述C、所述D、所述E以及所述F均为Mt/2×Mt/2的厄米特Hermitian矩阵，所述Mt为发送天线的数量，所述DMatrix1和所述DMatrix2通过预先约定的函数Q(DMatrix1，DMatrix2)表征信道的自相关矩阵信息R或者信道的特征信息/预编码信息W；
    反馈模块，设置为将所述第一类信息的第一指示信息、所述第二类信息的第二指示信息以及所述第三类信息的第三指示信息发送至所述基站。
  36. 一种数据的预编码装置，包括：
    接收模块，设置为接收来自于终端的第一类信息的第一指示信息、所述第二类信息的第二指示信息以及所述第三类信息的第三指示信息，其中，所述第一类信息包括：指示N个矢量u1、u2、……uN的信息，所述第二类信息包括：P个加权幅度信息A1,A2,···AP的指示信息，所述第三类信息包括：两套相位参数集合的指示信息，第一套相位参数集合为
    Figure PCTCN2015078811-appb-100049
    第二套相位参数集合为
    Figure PCTCN2015078811-appb-100050
    u1，u2，……uN，A1,A2,···AP和
    Figure PCTCN2015078811-appb-100051
    通过预定义的函 数F1(u1，u2，……uN，A1,A2,···AP，
    Figure PCTCN2015078811-appb-100052
    )表征一个形式为
    Figure PCTCN2015078811-appb-100053
    或
    Figure PCTCN2015078811-appb-100054
    的对称矩阵DMatrix1，u1，u2，……uN，A1,A2,···AP和
    Figure PCTCN2015078811-appb-100055
    通过预定义的函数F2(u1，u2，……uN，A1,A2,···AP，
    Figure PCTCN2015078811-appb-100056
    )表征一个形式为
    Figure PCTCN2015078811-appb-100057
    或
    Figure PCTCN2015078811-appb-100058
    的矩阵DMatrix2，所述C、所述D、所述E以及所述F均为Mt/2×Mt/2的厄米特Hermitian矩阵，所述Mt为发送天线的数量，所述DMatrix1和所述DMatrix2通过预先约定的函数Q(DMatrix1，DMatrix2)表征信道的自相关矩阵信息R或者信道的特征信息/预编码信息W；
    获取模块，设置为根据所述第一指示信息获取所述第一类信息、根据所述第二指示信息获取所述第二类信息以及根据所述第三指示信息获取所述第三类信息；
    计算模块，设置为采用所述第一类信息、所述第二类信息以及所述第三类信息计算得到所述DMatrix1和所述DMatrix2，并通过所述Q(DMatrix1，DMatrix2)计算出所述R或所述W；
    预编码模块，设置为根据所述R或所述W进行数据预编码。
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