CN105337683A - Emission weighting method and apparatus for CSI feedback system - Google Patents

Emission weighting method and apparatus for CSI feedback system Download PDF

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CN105337683A
CN105337683A CN201410289791.4A CN201410289791A CN105337683A CN 105337683 A CN105337683 A CN 105337683A CN 201410289791 A CN201410289791 A CN 201410289791A CN 105337683 A CN105337683 A CN 105337683A
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csi
observation
vector
feedback information
matrix
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CN105337683B (en
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徐剑标
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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Priority to PCT/CN2015/082090 priority patent/WO2015196974A1/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • 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

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  • Computer Networks & Wireless Communication (AREA)
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Abstract

The invention discloses an emission weighting method for a channel state information (CSI) feedback system, wherein the method is used for improving accuracy of precoding of an emission terminal. The method comprises: feedback information reported by user equipment (UE) is received, wherein the feedback information contains at least one of a precoding matrix indicator (PMI), a channel quality indicator (CQI), and a rank indicator (RI); according to a statistical characteristic of the feedback information, correction pretreatment is carried out on the feedback information, thereby obtaining an estimation value of real CSI, wherein the real CSI is a matrix that is obtained based on a downlink real channel matrix; and a beam forming matrix is obtained based on an estimation value of the real CSI, an emission signal is processed by using the beam forming matrix, and the processed emission signal is sent to a receiving terminal. In addition, the invention also discloses a corresponding apparatus.

Description

A kind of transmitting method of weighting for CSI feedback system and device
Technical field
The present invention relates to communication technical field, particularly relate to a kind of transmitting method of weighting for CSI feedback system and device.
Background technology
At FDD (FrequencyDivisionDuplexing, Frequency Division Duplexing (FDD)) in system, UE (UserEquipment, subscriber equipment) CSI (ChannelStateInformation can be reported to network side, channel condition information), the CSI that network side reports according to UE, the down channel corresponding to this UE carries out the operations such as transmitting weighting and Adaptive Modulation and Coding.Namely, network side issues pilot signal to UE, such as LTE (LongTermEvolution, Long Term Evolution) network side issues CSI-RS (ChannelStateInformation-ReferenceSignal in system, channel condition information measurement pilot frequency) to UE, UE estimates to obtain CSI accordingly, UE reports CSI quantitative information by backward channel to network side afterwards, the quantitative information of this CSI is such as PMI (PrecodingMatrixIndicator, pre-coding matrix indicates), CQI (ChannelQualityIndicator, CQI) and RI (RankIndicator, order indicates), network side does the operation such as transmitting weighting and Adaptive Modulation and Coding of down channel corresponding to this UE according to the reporting information of UE.
In actual applications, UE has feedback overhead to during network side feedback CSI, namely certain up channel power system capacity can be taken, so the quantization bit that General Requirements feedback information is corresponding enough little, therefore, UE feeds back after quantizing the CSI obtained again, like this, the information that what network side obtained is after quantizing, and have certain error between real information, the CSI that namely network side obtains has error relative to true CSI.Network side carries out the operations such as the transmitting weighting of down channel and Adaptive Modulation and Coding according to the CSI after quantizing, operating result is probably inaccurate, thus cause disturbing aggravation and Adaptive Modulation and Coding mismatch between interference, subscriber equipment in subscriber equipment, MIMO (Multiple-InputMultiple-Output cannot be given full play to, multiple-input and multiple-output) the channel capacity potentiality of system, become the critical bottleneck of restriction FDDMIMO system precoding performance.
Summary of the invention
The embodiment of the present invention provides a kind of transmitting method of weighting for CSI feedback system and device, in order to solve the network side technical problem that the operating result that causes is not accurate enough because the reporting information obtained has error.
A first aspect of the present invention, provides a kind of transmitting method of weighting for CSI back system, comprising:
Receive the feedback information of reported by user equipment UE, described feedback information comprises at least one in pre-coding matrix instruction PMI, channel quality indicator CQI and order instruction RI;
Statistical property according to described feedback information carries out correction preliminary treatment to described feedback information, obtains the estimated value of true CSI; Described true CSI is the matrix obtained according to descending real channel matrix;
Estimated value according to described true CSI obtains beamforming matrix, utilizes described beamforming matrix to process transmitting, and transmitting of being disposed is sent to receiving terminal.
In conjunction with first aspect, in the first possible implementation of first aspect, after the feedback information receiving reported by user equipment UE, also comprise: obtain observation CSI according to described feedback information.
In conjunction with the first possible implementation of first aspect, in the implementation that the second of first aspect is possible, before obtaining observation CSI according to described feedback information, simultaneously or afterwards, also comprise: according to the conjugate transpose of described descending real channel matrix and described descending real channel matrix, obtain described true CSI.
In conjunction with the first possible implementation of first aspect or the possible implementation of the second, in the third possible implementation of first aspect, statistical property according to described feedback information carries out correction preliminary treatment to described feedback information, obtain the estimated value of true CSI, comprise: according to observation CSI to quantitative statistics covariance matrix, and the statistics covariance vector between observation CSI vector and the element of described true CSI, obtain the filter weights vector for the described observation CSI l moment; Wherein, described observation CSI vector is the vector that the jth element in described observation CSI is formed in specific time domain length; Carry out filtration combined weighted according to described filter weights vector to described observation CSI vector, obtain the estimated value of described true CSI corresponding to l moment.
In conjunction with the third possible implementation of first aspect, in the 4th kind of possible implementation of first aspect, after obtaining observation CSI according to described feedback information, also comprise:
Obtain up channel matrix;
According to described up channel matrix, and up-downgoing channel statistical reciprocity principle, obtain the statistics covariance vector between described observation CSI vector and the element of true CSI.
In conjunction with the third possible implementation of first aspect, in the 5th kind of possible implementation of first aspect, after obtaining observation CSI according to described feedback information, also comprise: utilize the method that priori is added up, obtain the statistics covariance vector between described observation CSI vector and the element of true CSI.
A second aspect of the present invention, provides a kind of transmitting weighting device for CSI feedback system, comprising:
Receiver module, for receiving the feedback information of reported by user equipment UE, described feedback information comprises at least one in pre-coding matrix instruction PMI, channel quality indicator CQI and order instruction RI;
Processing module, carries out correction preliminary treatment for the statistical property according to described feedback information to described feedback information, obtains the estimated value of true CSI; Described true CSI is the matrix obtained according to descending real channel matrix;
Sending module, for obtaining beamforming matrix according to the estimated value of described true CSI, utilizing described beamforming matrix to process transmitting, and transmitting of being disposed is sent to receiving terminal.
In conjunction with second aspect, in the first possible implementation of second aspect, described processing module also for: obtain observation CSI according to described feedback information.
In conjunction with the first possible implementation of second aspect, in the implementation that the second of second aspect is possible, described processing module also for: according to the conjugate transpose of described descending real channel matrix and described descending real channel matrix, obtain described true CSI.
In conjunction with the first possible implementation of second aspect or the possible implementation of the second, in the third possible implementation of second aspect, described processing module specifically for: according to observation CSI to quantitative statistics covariance matrix, and the statistics covariance vector between observation CSI vector and the element of described true CSI, obtain the filter weights vector for the described observation CSI l moment; Wherein, described observation CSI vector is the vector that the jth element in described observation CSI is formed in specific time domain length; Carry out filtration combined weighted according to described filter weights vector to described observation CSI vector, obtain the estimated value of described true CSI corresponding to l moment.
In conjunction with the third possible implementation of second aspect, in the 4th kind of possible implementation of second aspect, described receiver module also for: obtain up channel matrix;
Described processing module also for: according to described up channel matrix, and up-downgoing channel statistical reciprocity principle, obtain the statistics covariance vector between described observation CSI vector and the element of true CSI.
In conjunction with the third possible implementation of second aspect, in the 5th kind of possible implementation of second aspect, described processing module also for: utilize the method that priori is added up, obtain the statistics covariance vector between described observation CSI vector and the element of true CSI.
A third aspect of the present invention, provides a kind of transmitting weighting device for CSI feedback system, comprising:
Memory, for storing instruction;
Receiver, for receiving the feedback information of reported by user equipment UE, described feedback information comprises at least one in pre-coding matrix instruction PMI, channel quality indicator CQI and order instruction RI;
Processor, for performing described instruction, the statistical property according to described feedback information carries out correction preliminary treatment to described feedback information, obtains the estimated value of true CSI; Described true CSI is the matrix obtained according to descending real channel matrix; Estimated value according to described true CSI obtains beamforming matrix, utilizes described beamforming matrix to process transmitting;
Reflector, for sending to receiving terminal by transmitting of being disposed.
In conjunction with the third aspect, in the first possible implementation of the third aspect, described processor also for: perform described instruction, obtain observation CSI according to described feedback information.
In conjunction with the first possible implementation of the third aspect, in the implementation that the second of the third aspect is possible, described processor also for: perform described instruction, according to the conjugate transpose of described descending real channel matrix and described descending real channel matrix, obtain described true CSI.
In conjunction with the first possible implementation of the third aspect or the possible implementation of the second, in the third possible implementation of the third aspect, described processor specifically for: perform described instruction, according to observation CSI to quantitative statistics covariance matrix, and the statistics covariance vector between observation CSI vector and the element of described true CSI, obtain the filter weights vector for the described observation CSI l moment; Wherein, described observation CSI vector is the vector that the jth element in described observation CSI is formed in specific time domain length; Carry out filtration combined weighted according to described filter weights vector to described observation CSI vector, obtain the estimated value of described true CSI corresponding to l moment.
In conjunction with the third possible implementation of the third aspect, in the 4th kind of possible implementation of the third aspect, described receiver also for: obtain up channel matrix;
Described processor also for: perform described instruction, according to described up channel matrix, and up-downgoing channel statistical reciprocity principle, obtain the statistics covariance vector between described observation CSI vector and the element of true CSI.
In conjunction with the third possible implementation of the third aspect, in the 5th kind of possible implementation of the third aspect, described processor also for: perform described instruction, utilize the method that priori is added up, obtain the statistics covariance vector between described observation CSI vector and the element of true CSI.
In the embodiment of the present invention, after the described feedback information that acquisition UE reports, correction preliminary treatment to be carried out to described feedback information, obtain the estimated value of described true CSI, the estimated value of described true CSI is relative to described feedback information, reduce the error between real information, network equipment carries out the operation such as transmitting weighting and Adaptive Modulation and Coding of down channel according to the estimated value of described true CSI, relative to the operation such as transmitting weighting and Adaptive Modulation and Coding directly carrying out down channel according to described feedback information, result is more accurate, interference in subscriber equipment can be avoided as far as possible, interference aggravation and Adaptive Modulation and Coding mismatch between subscriber equipment, give full play to the channel capacity potentiality of mimo system as far as possible.
Accompanying drawing explanation
Fig. 1 is the main flow figure for the transmitting method of weighting of CSI feedback system in the embodiment of the present invention;
Fig. 2 is the primary structure block diagram for the transmitting weighting device of CSI feedback system in the embodiment of the present invention;
Fig. 3 is the primary structure schematic diagram for the transmitting weighting device of CSI feedback system in the embodiment of the present invention.
Embodiment
The transmitting method of weighting for CSI feedback system in the embodiment of the present invention can comprise: the feedback information receiving reported by user equipment UE, and described feedback information comprises at least one in pre-coding matrix instruction PMI, channel quality indicator CQI and order instruction RI; Statistical property according to described feedback information carries out correction preliminary treatment to described feedback information, obtains the estimated value of true CSI; Described true CSI is the matrix obtained according to descending real channel matrix; Estimated value according to described true CSI obtains beamforming matrix, utilizes described beamforming matrix to process transmitting, and transmitting of being disposed is sent to receiving terminal.
In the embodiment of the present invention, after the described feedback information that acquisition UE reports, correction preliminary treatment to be carried out to described feedback information, obtain the estimated value of described true CSI, the estimated value of described true CSI is relative to described feedback information, reduce the error between real information, network equipment carries out the operation such as transmitting weighting and Adaptive Modulation and Coding of down channel according to the estimated value of described true CSI, relative to the operation such as transmitting weighting and Adaptive Modulation and Coding directly carrying out down channel according to described feedback information, result is more accurate, interference in subscriber equipment can be avoided as far as possible, interference aggravation and Adaptive Modulation and Coding mismatch between subscriber equipment, give full play to the channel capacity potentiality of mimo system as far as possible.
For making the object of the embodiment of the present invention, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
The techniques described herein may be used in various communication system, such as current 2G, 3G communication system and next generation communication system, such as global system for mobile communications (GlobalSystemforMobilecommunications, GSM), code division multiple access (CodeDivisionMultipleAccess, CDMA) system, time division multiple access (TimeDivisionMultipleAccess, TDMA) system, Wideband Code Division Multiple Access (WCDMA) (WidebandCodeDivisionMultipleAccessWireless, WCDMA), frequency division multiple access (FrequencyDivisionMultipleAddressing, FDMA) system, OFDM (OrthogonalFrequency-DivisionMultipleAccess, OFDMA) system, Single Carrier Frequency Division Multiple Access (SC-FDMA) system, GPRS (GeneralPacketRadioService, GPRS) system, Long Term Evolution (LongTermEvolution, LTE) system, and other these type of communication systems.
In conjunction with subscriber equipment and/or network equipment, various aspect is described herein.
Subscriber equipment, can be wireless terminal also can be catv terminal, wireless terminal can be point to the equipment that user provides voice and/or data connectivity, has the portable equipment of wireless connecting function or is connected to other treatment facilities of radio modem.Wireless terminal can communicate with one or more core net through wireless access network, wireless access network is such as RAN (RadioAccessNetwork), wireless terminal can be mobile terminal, as mobile phone (or being called " honeycomb " phone) and the computer with mobile terminal, such as, can be portable, pocket, hand-hold type, built-in computer or vehicle-mounted mobile device, they and wireless access network exchange language and/or data.Such as, Personal Communications Services (PersonalCommunicationService, PCS) phone, cordless telephone, Session initiation Protocol (SIP) phone, wireless local loop (WirelessLocalLoop, WLL) stand, the equipment such as personal digital assistant (PersonalDigitalAssistant, PDA).Wireless terminal also can be called system, subscri er unit (SubscriberUnit), subscriber station (SubscriberStation), mobile radio station (MobileStation), travelling carriage (Mobile), distant station (RemoteStation), access point (AccessPoint), remote terminal (RemoteTerminal), access terminal (AccessTerminal), user terminal (UserTerminal), user agent (UserAgent), subscriber equipment (UserDevice), or subscriber's installation (UserEquipment).
Network equipment, such as, can refer to base station.Base station (such as, access point) can to refer in Access Network the equipment by one or more sector and wireless terminal communications on aloft interface.Base station can be used for the air frame received and IP to divide into groups mutually to change, and as the router between wireless terminal and the remainder of Access Network, wherein the remainder of Access Network can comprise Internet protocol (IP) network.Base station also tunable to the attribute management of air interface.Such as, base station can be the base station (BaseTransceiverStation in GSM or CDMA, BTS), also can be the base station (NodeB) in WCDMA, can also be evolved base station (NodeB or eNB or e-NodeB in LTE, evolutionalNodeB), the application does not limit.
In addition, term " system " and " network " are often used interchangeably in this article herein.Term "and/or" herein, being only a kind of incidence relation describing affiliated partner, can there are three kinds of relations in expression, and such as, A and/or B, can represent: individualism A, exists A and B simultaneously, these three kinds of situations of individualism B.In addition, character "/" herein, if no special instructions, general expression forward-backward correlation is to the relation liking a kind of "or".
Below in conjunction with Figure of description, the embodiment of the present invention is described in further detail.
Refer to Fig. 1, the embodiment of the present invention provides a kind of transmitting method of weighting for CSI feedback system, and described method can be applied to network equipment.The main flow of described method is described below.
Step 101: the feedback information receiving reported by user equipment UE, described feedback information comprises at least one in pre-coding matrix instruction PMI, channel quality indicator CQI and order instruction RI.
Described UE can report described feedback information to described network equipment.Wherein, described UE can report PMI, CQI and RI to described network equipment, can be report simultaneously, or also can be report respectively.
First descending real channel matrix is defined:
h ( i , j , k , l ) ⇔ H ( k , l ) = h ( 1,1 , k , l ) . . . h ( 1 , N T , k , l ) . . . h ( i , j , k , l ) . . . h ( N R , 1 , k , l ) . . . h ( N R , N T , k , l ) - - - ( 1 )
Wherein, h (i, j, k, l) represent that i-th receipts antenna, the jth root of definition send out channel coefficients corresponding to antenna, a kth subcarrier, a l moment, H (k, l) represents the descending real channel matrix of definition, namely represents h (i, j, k, l) the complex matrix form of spatial domain dimensional signal, N rrepresent the number of transmit antennas of network side, N trepresent the reception antenna number of UE side.In the embodiment of the present invention, described network equipment such as can refer to base station, then network side can refer to base station side.Wherein, formula (1) just defines descending real channel matrix, is namely referring to real channel, does not represent that described network equipment accurately can know real channel.
Optionally, in the embodiment of the present invention, before obtaining described observation CSI according to described feedback information, while or afterwards, also comprise: according to the conjugate transpose of described descending real channel matrix and described descending real channel matrix, obtain described true CSI, wherein, described true CSI R hH(k, l) represents.In the embodiment of the present invention, described true CSI presents in the matrix form, and described true CSI also can be called instantaneous Correlation Matrix of descending real channel matrix.
Define true CSI:
R HH(k,l)＝H H(k,l)H(k,l)(2)
Wherein, H h(k, l) represents the associate matrix of H (k, l).In the embodiment of the present invention, with x (i, j, k, l) representing matrix R hH(i, j) the individual element of (k, l).
In the embodiment of the present invention, H (k, l) and R hH(k, l) just represents referring to ewal matrix information, does not represent the information that described network equipment accurately can obtain real channel.
Optionally, in the embodiment of the present invention, after the described feedback information that reception UE reports, also comprise: obtain observation CSI according to described feedback information.
Optionally, in the embodiment of the present invention, obtain described observation CSI according to described feedback information, can comprise: PMI, CQI and Rank of reporting according to described UE, obtain described observation CSI.In the embodiment of the present invention, described observation CSI presents in the matrix form.
According to the described feedback information of described UE, calculate R hHthe observation channel matrix of (k, l), namely calculates described observation CSI, described observation CSI with represent, described observation CSI also can be called instantaneous Correlation Matrix of descending observation channel matrix.For the agreement in existing LTE system, suppose that described UE can feed back PMI, CQI and Rank.Described network equipment according to described feedback information, according to following formulae discovery
R ~ HH ( k , l ) = V ~ ( k , l ) D ~ ( k , l ) V ~ H ( k , l ) D ~ ( k , l ) = diag ( λ ~ 1 ( k , l ) , . . . , λ ~ i ( k , l ) , . . . , λ ~ N L ( k , l ) ) , i ∈ [ 1 , N L ] - - - ( 3 )
Wherein, represent the quantification codebook matrix that (k, l) individual running time-frequency resource is corresponding, the PMI index by protocol definition obtains, represent (k, l) individual running time-frequency resource i-th layer of accessible equivalent signal-to-noise ratio of space division multiplex signal, by CQI and the MCS (ModulationandCodingScheme of protocol definition, modulation and coding strategy) the corresponding demodulation threshold (i.e. signal to noise ratio) that obtains of mapping relations determine, N lrepresent the space division multiplexing number of plies, corresponding with the value of Rank.The granularity of (k, l) and the granularity of described feedback information are consistent. represent associate matrix.Diag () represents extraction diagonal element.
Step 102: the statistical property according to described feedback information carries out correction preliminary treatment to described feedback information, obtains the estimated value of true CSI; Described true CSI is the matrix obtained according to descending real channel matrix.
Optionally, in the embodiment of the present invention, statistical property according to described feedback information carries out correction preliminary treatment to described feedback information, obtain the estimated value of described true CSI, comprise: according to observation CSI to quantitative statistics covariance matrix, and the statistics covariance vector between observation CSI vector and the element of described true CSI, obtain the filter weights vector for the described observation CSI l moment; Wherein, described observation CSI vector is the vector that the jth element in described observation CSI is formed in specific time domain length; Carry out filtration combined weighted according to described filter weights vector to described observation CSI vector, obtain the estimated value of described true CSI corresponding to l moment.
In the embodiment of the present invention, utilize observation CSI, statistical property between true CSI and observation error, with suitable Optimality Criteria design filtering algorithm, by filtering algorithm calculation of filtered weight vector, it is applied to observation CSI to obtain the estimated value of true CSI, the estimated value of this true CSI is compared described feedback information and effectively can be reduced observation error, the transmitting precoding that estimated value based on this true CSI makes FDDMIMO system can promote the accuracy of channel information characteristic vector, thus effectively disturb between the interior interference of reduction subscriber equipment and subscriber equipment, capacity.
Wherein, statistical property between the observation CSI that can consider, true CSI and observation error includes but not limited to Time-domain Statistics characteristic, frequency domain statistical property and spatial domain statistical property, the Optimality Criteria that can consider includes but not limited to least mean-square error (MMSE), and the filtering algorithm that can consider includes but not limited to Winner filtering, Kalman filter and other filtering method.Can combine arbitrarily between statistical property, Optimality Criteria and filtering method, concrete, compound mode can be selected according to actual conditions.
For setting forth conveniently, be only described for the compound mode of Time-domain Statistics characteristic, MMSE criterion and Winner filtering below, specific as follows:
In the embodiment of the present invention, y (i, j, k, l) representing matrix (i, j) individual element, will in a jth element form in specific time domain length one observation CSI vector, this observation CSI vector y l(i, j, k) represents.Wherein, in a jth element be in any one element.
y l(i,j,k)＝[y(i,j,k,l-L),y(i,j,k,l+1-L),...,y(i,j,k,l)] T(4)
Wherein, L is such as described specific time domain length, and the value of L suitably can be chosen according to prior informations such as channel coherency time.
Optionally, in the embodiment of the present invention, after obtaining observation CSI according to described feedback information, can also comprise: obtain described observation CSI to quantitative statistics covariance matrix according to described observation CSI vector.
Wherein, utilize priori to add up or make adaptive polo placement based on observation sample and upgrade or all can obtain described observation CSI to quantitative statistics covariance matrix by methods such as up-downgoing channel reciprocity,, illustrate with the method utilizing observation sample to do adaptive polo placement renewal below:
y l ( i , j , k ) = [ y ( i , j , k , l - L ) , . . . , y ( i , j , k , l ) ] T y ~ l ( i , j , k ) = y l ( i , j , k ) - y ‾ l ( i , j , k ) R ~ y l y l ( i , j ) = Σ k = 1 K y ~ l ( i , j , k ) y ~ l H ( i , j , k ) R ^ y l y l ( i , j ) = α R ~ y l y l ( i , j ) + ( 1 - α ) R ^ y l - 1 y l - 1 ( i , j ) R y l y l ( i , j , k ) = R ^ y l y l ( i , j ) - - - ( 5 )
Wherein, represent y lthe Time-domain Statistics covariance matrix of (i, j, k), α represents time domain Alpha (a kind of filtering method) filter factor, can choose according to Time-domain Statistics characteristic, and K represents at the available observed quantity sample number of frequency domain dimension, L chooses according to relativity of time domain represent y lthe Time-domain Statistics average of (i, j, k).Desirable during initial time l=0 wherein I l × Lrepresent that L ties up unit matrix. represent the history estimated value in l moment in described observation CSI vector, represent the instantaneous estimation value of described observation CSI vector in the l moment, represent the observation CSI vector removing average.
Optionally, in the embodiment of the present invention, after obtaining observation CSI according to described feedback information, can also comprise: obtain up channel matrix; According to described up channel matrix, and up-downgoing channel statistical reciprocity principle, obtain the statistics covariance vector between described observation CSI vector and the element of described true CSI.
Optionally, in the embodiment of the present invention, after obtaining observation CSI according to described feedback information, can also comprise: utilize priori statistical method, obtain the statistics covariance vector between described observation CSI vector and the element of described true CSI.
Wherein, utilize the methods such as priori statistics or up-downgoing channel reciprocity all can obtain the described statistics covariance vector observed between CSI vector and the element of described true CSI, with represent.Wherein, the element of described true CSI is the element in described true CSI.Obtain in order to by upper and lower property channel statistical reciprocity below illustrate:
Described network equipment receives uplink SRS (SoundingReferenceSignal) pilot signal, obtains up channel matrix, with H by methods such as channel estimating ul(k, l) represents.
Calculate up channel autocorrelation matrix, account form is , (i, j) individual element of described up channel autocorrelation matrix is denoted as x ul(i, j, k, l).
Calculate described observation CSI vector and x ulthe statistics covariance of (i, j, k, l), a kind of possible computational methods are as follows:
r ~ y l x ul ( l ) ( i , j ) = Σ k = 1 K y ~ l ( i , j , k ) ( x ul ( i , j , k ) - x ‾ ( i , j , k ) ) r ^ y l x ul ( l ) ( i , j ) = α r ~ y l x ul ( l ) ( i , j ) + ( 1 - α ) r ~ y l - 1 x ul ( l - 1 ) ( i , j ) - - - ( 6 )
Utilize up-downgoing channel statistical reciprocity, approximate with replace.Wherein, α represents time domain Alpha filter factor, represent the observation CSI vector removing average, represent in the instantaneous estimation value in l moment, represent in the history estimated value in l moment.
According to statistical property calculate the l moment corresponding filter weights vector, this filter weights vector w l(i, j, k) represents:
w l ( i , j , k ) = R y l y l - 1 ( i , j , k ) r y l x ( l ) ( i , j , k ) - - - ( 7 )
Wherein, represent y ltime-domain Statistics covariance vector between (i, j, k) Yu x (i, j, k, l).Because be Time-domain Statistics characteristic for statistical property in the embodiment of the present invention, what therefore participate in calculating is all Time-domain Statistics covariance matrix or Time-domain Statistics covariance vector, if adopt other statistical properties, the nature participating in calculating can be statistics covariance matrix under other statistical properties or statistics covariance vector.
According to described filter weights vector to y l(i, j, k) does filtration combined weighted, and can obtain the estimated value of true CSI corresponding to l moment, filtration combined weighted method is as follows:
x ^ ( i , j , k , l ) = x ‾ ( i , j , k , l ) + ( w l H ( i , j , k ) ) ( y l ( i , j , k ) - x ‾ ( i , j , k , l ) ) - - - ( 8 )
Wherein, represent the estimated value of an element in the true CSI that the l moment is corresponding, this element is such as the arbitrary element in true CSI corresponding to l moment, represent the Time-domain Statistics average of x (i, j, k, l).
Wherein, utilize priori to add up or make adaptive polo placement based on observation sample and upgrade or all can be calculated by methods such as up-downgoing channel reciprocity the mode upgraded to make adaptive polo placement based on observation sample below calculates for example, specific as follows:
μ ~ x ( i , j , l ) = 1 K Σ k = 1 K y ( i , j , k , l ) μ ^ x ( i , j , l ) = α μ ~ x ( i , j , l ) + ( 1 - α ) μ ^ x ( i , j , l - 1 ) x ‾ ( i , j , k , l ) = y ‾ ( i , j , k , l ) = μ ^ x ( i , j , l ) , k ∈ [ 1 , K ] - - - ( 9 )
Wherein, α represents time domain Alpha (a kind of filtering method) filter factor, can choose according to Time-domain Statistics characteristic, and K represents at the available observed quantity sample number of frequency domain dimension, y (i, j, k, l) representing matrix (i, j) individual element, desirable during initial time l=0 represent the instantaneous estimation value of observation CSI in the l moment, and represent the history estimated value of observation CSI in the l moment, represent the Time-domain Statistics average of y (i, j, k, l).
The estimated value of true CSI can be obtained according to the estimated value of each element in true CSI corresponding to described l moment.In the embodiment of the present invention, because described true CSI is matrix form, therefore, the estimated value of described true CSI is also matrix form.
Such as, will arrange according to spatial domain dimension, the estimated value of described true CSI can be obtained, with represent, wherein (i, j) individual element be
About the statistical property according to described feedback information, correction preliminary treatment is carried out to described feedback information, obtain the mode of the estimated value of described true CSI, the concrete mode be from the realization of time domain aspect of above introduction.But above introduction is only to explain the specific embodiment that the present invention provides, the invention is not restricted to only include with upper type, such as, can also go from the aspect such as frequency domain, spatial domain to realize, concrete mode those skilled in the art know naturally according to the above time domain mode introduced should how phase strain type, and the present invention does not limit this.
Step 103: the estimated value according to described true CSI obtains beamforming matrix, utilizes described beamforming matrix to process transmitting, and transmitting of being disposed is sent to receiving terminal.
With as R hHthe estimated value of (k, l), namely with as the information that described network equipment finally obtains according to described feedback information, described network equipment can basis carry out the operations such as the transmitting terminal precoding weighting of FDDMIMO system.Right may use example following (including but not limited to):
A, right make feature decomposition:
R ^ HH ( k , l ) = V ^ ( k , l ) D ^ ( k , l ) V ^ H ( k , l ) D ^ ( k , l ) = diag ( λ ^ 1 ( k , l ) , . . . , λ ^ i ( k , l ) , . . . , λ ^ N L ^ ( k , l ) ) , i ∈ [ 1 , N L ^ ] - - - ( 10 )
Wherein, represent the channel eigenvectors that (k, l) individual running time-frequency resource is corresponding, also referred to as described beamforming matrix, represent the channel characteristic value that (k, l) individual running time-frequency resource is corresponding, represent nonzero eigenvalue number.
B, basis etc. parameter, various concrete SU-MIMO (SingleUser-Multiple-InputMultiple-Output can be designed, single user multiple-input and multiple-output) and MU-MIMO (MultiUser-Multiple-InputMultiple-Output, multi-user's multiple-input and multiple-output) transmitting method of weighting, include but not limited to EZF-BF (Eigenvectorzero-forcebeamforming, characteristic vector close-to zero beam is shaped) etc.
Such as, according to carry out transmitting weighting, a kind of possible method is: order transmit described in being multiplied by, transmit described in making and change the signal beam of applicable current channel transmission into.Afterwards power division is carried out to described UE.Because for UE, its transmitting power is limited often, and therefore power utilization maximization maximizes with the availability of frequency spectrum and has same practical significance.Under the condition of total transmit power limited, mimo channel is adaptively each UE distributes power, system parameters can be made as far as possible to reach optimum.After carrying out power division, it can be different Channel assignment modulation schemes.Because if each channel selects same modulation scheme, be no doubt conducive to realizing, but reduce systematic function.Therefore, after obtaining the equivalent gain on channel and the power that distributes, Adaptive Modulation can be carried out at transmitting terminal, under the prerequisite meeting system service quality, systematic function can be made to reach optimum as far as possible.Afterwards, transmitting of process being obtained sends to receiving terminal.
In the embodiment of the present invention, using described observation CSI as the linear superposition of descending real channel matrix and observation error, following relational expression can be set up:
y(i,j,k,l)＝x(i,j,k,l)+n(i,j,k,l)(11)
Wherein, n (i, j, k, l) represents the observation error between y (i, j, k, l) Yu x (i, j, k, l), and in particular for the MIMO precoding of LTEFDD system based on feedback information, n (i, j, k, l) reflection is due to R hHthe quantization error that the quantification of (k, l) do brings or quantizing noise.
Can see there is observation error between the described feedback information that the real information of down channel and described UE report.In prior art, UE is after uploading feedback information, and network equipment directly utilizes this feedback information as beamforming matrix, makes this beamforming matrix be multiplied by and transmits, and makes to transmit and changes the signal beam of applicable current channel transmission into.Carrying out power division to described UE afterwards, after carrying out power division, can be different Channel assignment modulation schemes, then transmitting after process is sent to receiving terminal.
Namely, directly employ the feedback information that, UE larger with real information error report to process transmitting as beamforming matrix in prior art, and the embodiment of the present invention is the described feedback information reported described UE has carried out a series of process, the estimated value of the described true CSI obtained is the result as far as possible reducing described observation error, estimated value according to described true CSI carries out transmitting weighting, obviously more accurate than the transmitting weighted results obtained in prior art.
By the processing mode in the embodiment of the present invention, according to the computational methods of described filter weights vector, by true CSI, the statistical property (cross correlation/auto-correlation/average etc.) between CSI and observation error is observed fully to be applied in described filter weights vector, compare the observation error (quantization error) existed in originally isolated CSI measured value, i.e. n (i, j, kl, ), according to described filter weights vector, the filtration combined weighted estimated value obtaining described true CSI is carried out to described observation CSI vector, can by multiple observation CSI by its intrinsic statistical correlation, the estimated value as described true CSI is combined using the method for weighed value adjusting, the evaluated error between true CSI can be reduced in statistical significance, thus improve the accuracy of precoding.
Refer to Fig. 2, based on same inventive concept, the embodiment of the present invention provides a kind of transmitting weighting device for CSI feedback system, and described device can be foregoing network equipment.Described device can comprise receiver module 201, processing module 202 and sending module 203.
Receiver module 201 is for receiving the feedback information of reported by user equipment UE, and described feedback information comprises at least one in pre-coding matrix instruction PMI, channel quality indicator CQI and order instruction RI;
Processing module 202 carries out correction preliminary treatment for the statistical property according to described feedback information to described feedback information, obtains the estimated value of true CSI; Described true CSI is the matrix obtained according to descending real channel matrix;
Sending module 203, for obtaining beamforming matrix according to the estimated value of described true CSI, utilizes described beamforming matrix to process transmitting, and transmitting of being disposed is sent to receiving terminal.
Optionally, in the embodiment of the present invention, processing module 202 also for: after receiver module 201 receives the described feedback information that described UE reports, obtain observation CSI according to described feedback information.
Optionally, in the embodiment of the present invention, processing module 202 also for: before obtaining described observation CSI according to described feedback information, while or afterwards, according to the conjugate transpose of described descending real channel matrix and described descending real channel matrix, obtain described true CSI.
Optionally, in the embodiment of the present invention, processing module 202 specifically for: according to observation CSI to quantitative statistics covariance matrix, and observation CSI vector and the element of described true CSI between statistics covariance vector, obtain for described observation the CSI l moment filter weights vector; Wherein, described observation CSI vector is the vector that the jth element in described observation CSI is formed in specific time domain length; Carry out filtration combined weighted according to described filter weights vector to described observation CSI vector, obtain the estimated value of described true CSI corresponding to l moment.
Optionally, in the embodiment of the present invention, processing module 202 also for: after obtaining described observation CSI according to described feedback information, obtain described observation CSI to quantitative statistics covariance matrix according to described observation CSI vector.
Optionally, in the embodiment of the present invention, receiver module 201 also for: after processing module 202 obtains described observation CSI according to described feedback information, acquisition up channel matrix; Processing module 202 also for: according to described up channel matrix, and up-downgoing channel statistical reciprocity principle, obtain the statistics covariance vector between described observation CSI vector and the element of true CSI.
Optionally, in the embodiment of the present invention, processing module 202 also for: after obtaining described observation CSI according to described feedback information, utilize the method that priori add up, obtain the statistics covariance vector between described observation CSI element that is vectorial and truly CSI.
Refer to Fig. 3, based on same inventive concept, the embodiment of the present invention provides a kind of transmitting weighting device for CSI feedback system, and described device can be foregoing network equipment.Described device comprises: bus 330, and is connected to the memory 310 of bus 330, receiver 320, processor 340 and reflector 350.Wherein memory 310 is for storing instruction.Receiver 320 is for receiving the feedback information of reported by user equipment UE, and described feedback information comprises at least one in pre-coding matrix instruction PMI, channel quality indicator CQI and order instruction RI.Processor 340 for reading the instruction stored in memory 310, and performs described instruction, and the statistical property according to described feedback information carries out correction preliminary treatment to described feedback information, obtains the estimated value of true CSI; Described true CSI is the matrix obtained according to descending real channel matrix; Estimated value according to described true CSI obtains beamforming matrix, utilizes described beamforming matrix to process transmitting.Reflector 350 sends to receiving terminal for transmitting of being disposed by processor 340.
Optionally, in the embodiment of the present invention, processor 340 also for: perform described instruction, obtain observation CSI according to described feedback information.
Optionally, in the embodiment of the present invention, processor 340 also for: perform described instruction, according to the conjugate transpose of described descending real channel matrix and described descending real channel matrix, obtain described true CSI.
Optionally, in the embodiment of the present invention, processor 340 specifically for: perform described instruction, according to observation CSI to quantitative statistics covariance matrix, and the statistics covariance vector between observation CSI vector and the element of described true CSI, obtain the filter weights vector for the described observation CSI l moment; Wherein, described observation CSI vector is the vector that the jth element in described observation CSI is formed in specific time domain length; Carry out filtration combined weighted according to described filter weights vector to described observation CSI vector, obtain the estimated value of described true CSI corresponding to l moment.
Optionally, in the embodiment of the present invention, processor 340 also for: perform described instruction, obtain described observation CSI to quantitative statistics covariance matrix according to described observation CSI vector.
Optionally, in the embodiment of the present invention, receiver 320 is also for obtaining up channel matrix; Processor 340 also for: perform described instruction, according to described up channel matrix, and up-downgoing channel statistical reciprocity principle, obtain the statistics covariance vector between described observation CSI vector and the element of true CSI.
Optionally, in the embodiment of the present invention, processor 340 also for: perform described instruction, utilize the method that priori is added up, obtain the statistics covariance vector between described observation CSI vector and the element of true CSI.
The transmitting method of weighting for CSI feedback system in the embodiment of the present invention can comprise: the feedback information receiving reported by user equipment UE, and described feedback information comprises at least one in pre-coding matrix instruction PMI, channel quality indicator CQI and order instruction RI; Statistical property according to described feedback information carries out correction preliminary treatment to described feedback information, obtains the estimated value of true CSI; Described true CSI is the matrix obtained according to descending real channel matrix; Estimated value according to described true CSI obtains beamforming matrix, utilizes described beamforming matrix to process transmitting, and transmitting of being disposed is sent to receiving terminal.
In the embodiment of the present invention, after the described feedback information that acquisition UE reports, correction preliminary treatment to be carried out to described feedback information, obtain the estimated value of described true CSI, the estimated value of described true CSI is relative to described feedback information, reduce the error between real information, network equipment carries out the operation such as transmitting weighting and Adaptive Modulation and Coding of down channel according to the estimated value of described true CSI, relative to the operation such as transmitting weighting and Adaptive Modulation and Coding directly carrying out down channel according to described feedback information, result is more accurate, interference in subscriber equipment can be avoided as far as possible, interference aggravation and Adaptive Modulation and Coding mismatch between subscriber equipment, give full play to the channel capacity potentiality of mimo system as far as possible.
Those skilled in the art can be well understood to, for convenience and simplicity of description, only be illustrated with the division of above-mentioned each functional module, in practical application, can distribute as required and by above-mentioned functions and be completed by different functional modules, internal structure by device is divided into different functional modules, to complete all or part of function described above.The system of foregoing description, the specific works process of device and unit, with reference to the corresponding process in preceding method embodiment, can not repeat them here.
In several embodiments that the application provides, should be understood that, disclosed system, apparatus and method, can realize by another way.Such as, device embodiment described above is only schematic, such as, the division of described module or unit, be only a kind of logic function to divide, actual can have other dividing mode when realizing, such as multiple unit or assembly can in conjunction with or another system can be integrated into, or some features can be ignored, or do not perform.Another point, shown or discussed coupling each other or direct-coupling or communication connection can be by some interfaces, and the indirect coupling of device or unit or communication connection can be electrical, machinery or other form.
The described unit illustrated as separating component or can may not be and physically separates, and the parts as unit display can be or may not be physical location, namely can be positioned at a place, or also can be distributed in multiple network element.Some or all of unit wherein can be selected according to the actual needs to realize the object of the present embodiment scheme.
In addition, each functional unit in each embodiment of the application can be integrated in a processing unit, also can be that the independent physics of unit exists, also can two or more unit in a unit integrated.Above-mentioned integrated unit both can adopt the form of hardware to realize, and the form of SFU software functional unit also can be adopted to realize.
If described integrated unit using the form of SFU software functional unit realize and as independently production marketing or use time, can be stored in a computer read/write memory medium.Based on such understanding, the part that the technical scheme of the application contributes to prior art in essence in other words or all or part of of this technical scheme can embody with the form of software product, this computer software product is stored in a storage medium, comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) or processor (processor) perform all or part of step of method described in each embodiment of the application.And aforesaid storage medium comprises: USB flash disk, portable hard drive, read-only memory (ROM, Read-OnlyMemory), random access memory (RAM, RandomAccessMemory), magnetic disc or CD etc. various can be program code stored medium.
The above, above embodiment is only in order to be described in detail the technical scheme of the application, but the explanation of above embodiment just understands method of the present invention and core concept thereof for helping, and should not be construed as limitation of the present invention.Those skilled in the art are in the technical scope that the present invention discloses, and the change that can expect easily or replacement, all should be encompassed within protection scope of the present invention.

Claims (12)

1., for a transmitting method of weighting for CSI back system, it is characterized in that, comprising:
Receive the feedback information of reported by user equipment UE, described feedback information comprises at least one in pre-coding matrix instruction PMI, channel quality indicator CQI and order instruction RI;
Statistical property according to described feedback information carries out correction preliminary treatment to described feedback information, obtains the estimated value of true CSI; Described true CSI is the matrix obtained according to descending real channel matrix;
Estimated value according to described true CSI obtains beamforming matrix, utilizes described beamforming matrix to process transmitting, and transmitting of being disposed is sent to receiving terminal.
2. the method for claim 1, is characterized in that, after the feedback information receiving reported by user equipment UE, also comprises: obtain observation CSI according to described feedback information.
3. method as claimed in claim 2, it is characterized in that, before obtaining observation CSI according to described feedback information, simultaneously or afterwards, also comprise: according to the conjugate transpose of described descending real channel matrix and described descending real channel matrix, obtain described true CSI.
4. method as claimed in claim 2 or claim 3, it is characterized in that, statistical property according to described feedback information carries out correction preliminary treatment to described feedback information, obtain the estimated value of true CSI, comprise: according to observation CSI to quantitative statistics covariance matrix, and the statistics covariance vector between observation CSI vector and the element of described true CSI, obtain the filter weights vector for the described observation CSI l moment; Wherein, described observation CSI vector is the vector that the jth element in described observation CSI is formed in specific time domain length; Carry out filtration combined weighted according to described filter weights vector to described observation CSI vector, obtain the estimated value of described true CSI corresponding to l moment.
5. method as claimed in claim 4, is characterized in that, after obtaining observation CSI according to described feedback information, also comprises:
Obtain up channel matrix;
According to described up channel matrix, and up-downgoing channel statistical reciprocity principle, obtain the statistics covariance vector between described observation CSI vector and the element of true CSI.
6. method as claimed in claim 4, is characterized in that, after obtaining observation CSI according to described feedback information, also comprises: utilize the method that priori is added up, and obtains the statistics covariance vector between described observation CSI vector and the element of true CSI.
7., for a transmitting weighting device for CSI feedback system, it is characterized in that, comprising:
Receiver module, for receiving the feedback information of reported by user equipment UE, described feedback information comprises at least one in pre-coding matrix instruction PMI, channel quality indicator CQI and order instruction RI;
Processing module, carries out correction preliminary treatment for the statistical property according to described feedback information to described feedback information, obtains the estimated value of true CSI; Described true CSI is the matrix obtained according to descending real channel matrix;
Sending module, for obtaining beamforming matrix according to the estimated value of described true CSI, utilizing described beamforming matrix to process transmitting, and transmitting of being disposed is sent to receiving terminal.
8. device as claimed in claim 7, is characterized in that, described processing module also for: obtain observation CSI according to described feedback information.
9. device as claimed in claim 8, is characterized in that, described processing module also for: according to the conjugate transpose of described descending real channel matrix and described descending real channel matrix, obtain described true CSI.
10. device as claimed in claim 8 or 9, it is characterized in that, described processing module specifically for: according to observation CSI to quantitative statistics covariance matrix, and the statistics covariance vector between observation CSI vector and the element of described true CSI, obtain the filter weights vector for the described observation CSI l moment; Wherein, described observation CSI vector is the vector that the jth element in described observation CSI is formed in specific time domain length; Carry out filtration combined weighted according to described filter weights vector to described observation CSI vector, obtain the estimated value of described true CSI corresponding to l moment.
11. devices as claimed in claim 10, is characterized in that, described receiver module also for: obtain up channel matrix;
Described processing module also for: according to described up channel matrix, and up-downgoing channel statistical reciprocity principle, obtain the statistics covariance vector between described observation CSI vector and the element of true CSI.
12. devices as claimed in claim 10, is characterized in that, described processing module also for: utilize the method that priori is added up, obtain the statistics covariance vector between described observation CSI vector and the element of true CSI.
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