CN103312440A - Data transmitting method and device based on channel state information feedback - Google Patents

Abstract

The invention discloses a data transmitting method based on channel state information feedback. The method comprises the following steps that a transmitting terminal acquires current channel state information fed back by a receiving terminal; the transmitting terminal corrects the current channel state information according to historical channel state information to obtain the corrected channel state information; the transmitting terminal determines control information used for transmitting data to the receiving end according to the corrected channel state information, and transmits data to the receiving terminal according to the control information. The invention correspondingly discloses a data transmitting device based on the channel state information feedback. By correcting the channel state information fed back by opposite terminals, the accuracy of the channel state information is enhanced, the accuracy of an MIMO (multiple input multiple output) transmission mode and the accuracy of precoding are improved, and the data transmission performance is further improved.

Description

A kind of data emitting method and device based on information feedback

Technical field

The present invention relates to the communications field, relate in particular to a kind of data emitting method based on information feedback and device.

Background technology

Along with the fast development of wireless communication technology, the frequency spectrum resource of wretched insufficiency becomes the principal element of restriction Development of Wireless Communications gradually, how to take full advantage of limited frequency spectrum resource, and improving the availability of frequency spectrum is the important research direction of radio communication.Multiple-input and multiple-output (MIMO, Multiple Input Multiple Out) technology can be in the situation that do not increase that bandwidth improves efficiency of transmission and the availability of frequency spectrum obtains extensive use because of it.The MIMO technology has been utilized space diversity gain by transmit diversity and receive diversity, has utilized antenna array gain by beam forming (Beamforming) technology, has utilized the spatial reuse gain by space multiplexing technique.Wherein, obtain the weak dependence that space diversity gain utilizes space channel, and the selectivity on binding time/frequency, transmit diversity provides a plurality of signal copies for the signal transmission, receive diversity is to have received a plurality of signal copies that transmit and transmit in the space, and then improve the reliability of signal transmission, thereby improve the space-frequency block codes (Space Frequency Block Code) of the signal to noise ratio that receives signal-for example; Obtain antenna array gain and utilize the strong correlation of space channel, by little spacing aerial array is installed, thereby so that producing, the electromagnetic wave that transmits in the space interferes the antenna pattern that forms highly directive, so that the main lobe of antenna pattern points to arrival bearing user adaptively, thereby improve to receive the signal to noise ratio of signal, improve the single current beam forming (Single Stream Beamforming) of power system capacity or coverage-for example; Obtaining the spatial reuse gain is the weak dependence that utilizes space channel, in a plurality of separate different data flow of space channel transmission, thereby improve multi-user's multiple-input and multiple-output (MU-MIMO, the Mutiple UserMIMO) technology of the peak rate of transfer of data-for example.Obviously, the use of MIMO technology depends critically upon characteristic and the measurement thereof of space channel.

At Long Term Evolution version (LTE Release, Long Term Evolution Release) in 8/9, for to the space channel state or quality is measured and the data symbol that receives is carried out demodulation, introduced public reference signal (CRS, Common Reference Signal), subscriber equipment (UE, User Equipment) can carry out by CRS the measurement of channel status, for subscriber equipment selects different MIMO transmission modes that basic channel condition information is provided with residential quarter (Cell), in LTE Release 8/9, realized the measurement of terminal to channel by CRS, realized that also terminal sends the demodulation of data to the residential quarter; The transmission mode that can support comprises diversity, open loop Single User MIMO (SU-MIMO, Single User MIMO), beam forming, closed loop Single User MIMO and closed loop MU-MIMO.

In LTE Release 10, defined new reference signal channel information reference signal (ChannelState Information-Reference Signal, CSI-RS) and be exclusively used in channel measurement.UE can measure and calculate pre-coding matrix index (PMI to base station feedback by CSI-RS, Precoding MatrixIndicator), channel quality information indication (CQI, Channel Quality Indicator) and order indication information such as (RI, Rank Indicator).CSI-RS provides possibility for further improving cell spectrum utilance, especially the cell edge availability of frequency spectrum, because CSI-RS is coordinate multipoint (Cooperative Multi-Point, CoMP) application of technology provides possibility, the CoMP technology makes the MIMO technology no longer be confined to single residential quarter, but but multi-plot joint is processed and coordination.Descending CoMP technology mainly comprises two kinds of forms:

Cooperative scheduling/cooperative beam figuration (Coordinated Scheduling/Coordinated Beamforming, CS/CB): data are only from the Serving cell emission, but UE scheduling or BF mode are jointly to be finished by cooperation point.

Unite emission (Joint Transmission, JT): data are by each cooperation point Combined Treatment, and namely the data of each UE are united emission by all cooperation points, to improve the quality of reception, eliminate and disturb.Be two kinds of canonical schemas of JT as depicted in figs. 1 and 2, it is made of a plurality of transmitting terminals and one or more receiving terminal.

At present, the realization of MIMO technology depends on UE to the feedback of channel condition information more, base station or cooperation end determine the transmission mode of MIMO according to the channel condition information of feedback, because the finite capacity of feedback channel, feedback all is Limited Feedback, namely can only feed back limited channel condition information, and limited channel condition information is also through quantizing, the problem that has distortion, and the order of accuarcy of channel condition information is seriously restricting the gain that brings of MIMO technology.For example:

For example, the typical implementation algorithm of CS/CB technology is based on the letter leakage and makes an uproar than (Signal to Leakage andNoise Ratio, SLNR), based on the CB Technology Need adjacent end of SLNR to the channel coefficients between the Serving cell (Cell) of the terminal that is scheduled, in real system owing to the reason of Limited Feedback, obtain at the most adjacent end to the pre-coding matrix index between the serving BS of the terminal that is scheduled, and can't obtain the real channel coefficient matrix, have a strong impact on the CB technique effect based on SLNR.As shown in Figure 1, the service transmitting terminal of receiving terminal 1 is transmitting terminal 1, and transmitting terminal 1 is wished the precoding vectors that uses when determining to receiving terminal 1 transmission data based on formula (1) when adopting the CB of SLNR:

$\arg \underset{W}{\max }\frac{{\left|\right|H_{11}W\left|\right|}_F^2}{{\left|\right|\underset{n\≠1}{\overset{2}{\mathrm{\Σ}}}{H}_{1n}W\left|\right|}_F^2+{\mathrm{\σ}}^2}---\left(1\right)$

Wherein, H _1nFor transmitting terminal 1 to the channel coefficient matrix between the receiving terminal n, W is pre-coding matrix, σ ²Be noise power, obviously, optimum precoding vectors is under the SLNR criterion

Maximal eigenvector corresponding to eigenvalue of maximum, but receiving terminal 1 and 2 only can feed back optimum PMI, directly feedback channel coefficient matrix H _1nExisting CB technology based on SLNR all is directly to replace channel coefficient matrix H by code word corresponding to PMI _1nDetermine optimum precoding vectors, that is:

$\arg \underset{W}{\max }\frac{{\left|\right|W_{11}W\left|\right|}_F^2}{{\left|\right|\underset{n\≠1}{\overset{2}{\mathrm{\Σ}}}{W}_{1n}W\left|\right|}_F^2+{\mathrm{\σ}}^2}---\left(2\right)$

There is deviation in formula (1) with the optimal solution of formula (2), with rank (H _1n)=1 is as follows for the example concrete analysis:

Spectral factorization according to matrix:

${(H_{12}^H{H}_{12}+{\mathrm{\σ}}^{2}I)}^{-1}\left(H_{11}^H{H}_{11}\right)={({\mathrm{\λ}}_{12}{v}_{\mathrm{12,1}}{v}_{\mathrm{12,1}}^H+{\mathrm{\σ}}^{2}I)}^{-1}\left({\mathrm{\λ}}_{11}{v}_{\mathrm{11,1}}{v}_{\mathrm{11,1}}^H\right)={\mathrm{\λ}}_{11}{\mathrm{\λ}}_{12}{(v_{\mathrm{12,1}}{v}_{\mathrm{12,1}}^H+\frac{{\mathrm{\σ}}^2}{{\mathrm{\λ}}_{12}}I)}^{-1}\left(v_{\mathrm{11,1}}{v}_{\mathrm{11,1}}^H\right)$

${(H_{12}^H{H}_{12}+{\mathrm{\σ}}^{2}I)}^{-1}\left(H_{11}^H{H}_{11}\right)={({\mathrm{\λ}}_{12}{v}_{12}{v}_{12}^H+{\mathrm{\σ}}^{2}I)}^{-1}\left({\mathrm{\λ}}_{11}{v}_{11}{v}_{11}^H\right)={\mathrm{\λ}}_{11}{\mathrm{\λ}}_{12}{(v_{12}{v}_{12}^H+\frac{{\mathrm{\σ}}^2}{{\mathrm{\λ}}_{12}}I)}^{-1}\left(v_{11}{v}_{11}^H\right)---\left(3\right)$

Wherein, v _1nFor Eigenvalue of maximum λ _1nThe characteristic of correspondence vector, in this example, n gets 1 and 2, obviously, λ _1n≈ 1, n ≠ 1 o'clock, and it is feasible replacing complete channel information H with code word W corresponding to limited channel information PMI, code word W is v _1nQuantification.

Again for example, for MU-MIMO, no matter be single base station MU-MIMO or many base stations MU-MIMO (MU-MIMO-JT), all need the UE of pairing is done the precoding of MU, take single base station MU-MIMO as example:

H ₁For UE1 to the channel coefficient matrix between the base station, H ₂For UE2 to the channel coefficient matrix between the base station, combined channel H is

Multi-user pre-coding based on Zero Forcing is:

P＝H ^H(HH ^H) ^-1 (4)

Because real system can't obtain complete channel condition information, H generally replaces with vector corresponding to the precoding vectors index of terminal feedback.

As seen, in the prior art, transmitting terminal can only obtain impaction of partial channel state information, and the impact that impaction of partial channel state information is generally quantized and delays time, there is problem of dtmf distortion DTMF, especially becoming slowly mimo channel, mimo system often adopts closed loop mode, be that terminal is to the base station feedback impaction of partial channel state information, the precoding of using is decided in the base station when terminal sends data according to terminal feedback, perhaps transmitting channel measuring reference signals, and the precoding of using is decided by the reciprocity of up-downgoing channel condition information in the base station when terminal sends data, the problem of channel condition information distortion is difficult to avoid, thereby can further affect data transmission performance.

Summary of the invention

In view of this, main purpose of the present invention is to provide a kind of data emitting method based on information feedback, can solve the relatively poor problem of channel condition information distortion, data transmission performance that exists in the prior art.

For achieving the above object, technical scheme of the present invention is achieved in that

A kind of data emitting method based on information feedback comprises:

Transmitting terminal obtains the current channel condition information of receiving terminal feedback;

Described transmitting terminal is revised described current channel condition information according to historical channel condition information, obtains revising channel condition information;

Described transmitting terminal is according to revising the control information of using when channel condition information is determined to described receiving terminal transmitting data, and according to described control information to described receiving terminal transmitting data.

Described current channel condition information comprises following one or more: the right singular vector of current channel coefficient matrix, current channel coefficients correlation matrix, the modulation coding mode of current channel, the order of current channel coefficient matrix;

Described historical channel condition information comprises following one or more: the right singular vector of historical channel coefficient matrix, historical channel coefficients correlation matrix, the modulation coding mode of historical channel, the order of historical channel coefficient matrix;

Described correction channel condition information comprises following one or more: the order of the right singular vector of correction channel coefficient matrix, correction channel coefficients correlation matrix, the modulation coding mode of revising channel, correction channel coefficient matrix.

Described transmitting terminal is revised described current channel condition information according to historical channel condition information, obtains revising channel condition information to be:

Right singular vector or historical channel coefficients correlation matrix according to historical channel coefficient matrix are revised the right singular vector of current channel coefficient matrix, obtain revising the right singular vector of channel coefficient matrix; Perhaps,

According to historical channel coefficients correlation matrix current channel coefficients correlation matrix is revised, obtained revising the channel coefficients correlation matrix; Perhaps,

Modulation coding mode according to historical channel is revised the modulation coding mode of current channel, obtains revising the modulation coding mode of channel; Perhaps,

Order according to historical channel coefficient matrix is revised the order of current channel coefficient matrix, obtains revising the order of channel coefficient matrix.

Described right singular vector according to historical channel coefficient matrix is revised the right singular vector of current channel coefficient matrix, and the right singular vector that obtains revising channel coefficient matrix is:

Revise the right singular vector of the right singular vector of the right singular vector=a of channel coefficient matrix * current channel coefficient matrix+(1-a) * historical channel coefficient matrix, wherein, 0＜a＜=1,

Describedly according to historical channel coefficients correlation matrix current channel coefficients correlation matrix is revised, is obtained revising the channel coefficients correlation matrix and be:

Correction channel coefficients correlation matrix=b * current channel coefficients correlation matrix+(1-b) * historical channel coefficients correlation matrix, wherein, 0＜b＜=1.

Describedly according to historical channel coefficients correlation matrix the right singular vector of current channel coefficient matrix is revised, the right singular vector that obtains revising channel coefficient matrix is:

Historical channel coefficients correlation matrix R is SVD to be decomposed: R=V ∑ V ^H

Calculate the right singular vector of revising channel coefficient matrix according to following formula:

The right singular vector of the right singular vector=c of correction channel coefficient matrix * current channel coefficient matrix+(1-c) * Colum (V, dim), wherein, 0＜c＜=1, Colum (V, dim) for getting the front dim row of matrix V, dim is the columns of the right singular vector of current channel coefficient matrix.

Described modulation coding mode according to historical channel is revised the modulation coding mode of current channel, and the modulation coding mode that obtains revising channel is:

At first calculate the value of (modulation coding mode of the modulation coding mode of d * current channel+(1-d) * historical channel), the value of described calculating is done rounded operation again, obtain the modulation coding mode of revising channel, wherein, 0＜d＜=1;

Described order according to historical channel coefficient matrix is revised the order of current channel coefficient matrix, and the order that obtains revising channel coefficient matrix is:

At first calculate the value of (order of the order of e * current channel coefficient matrix+(1-e) * historical channel coefficient matrix), the value of described calculating is done rounded operation again, obtain the order of revising channel coefficient matrix, wherein, 0＜e＜=1.

Described control information comprises following one or more: precoding vectors, fluxion, modulation coding mode that transmitting terminal uses when receiving terminal sends data, determine precoding vectors according to the right singular vector of revising channel coefficient matrix, determine modulation coding mode according to the modulation coding mode of revising channel, determine fluxion according to the order of revising channel coefficient matrix.

A kind of data sending apparatus based on information feedback comprises: current channel condition acquisition of information module, channel condition information correcting module, control information determination module and data transmission module; Wherein,

Described current channel condition acquisition of information module is used for obtaining the current channel condition information that receiving terminal feeds back;

Described channel condition information correcting module is used for according to historical channel condition information, and the current channel condition information that current channel condition acquisition of information module is obtained is revised, and obtains revising channel condition information;

Described control information determination module, the control information of using when determining to described receiving terminal transmitting data for the correction channel condition information that correction obtains according to the channel condition information correcting module;

Described data transmission module, the control information that is used for determining according to the control information determination module is to described receiving terminal transmitting data.

Described channel condition information correcting module, concrete being used for revised the right singular vector of current channel coefficient matrix according to the right singular vector of historical channel coefficient matrix, obtain revising the right singular vector of channel coefficient matrix, the right singular vector of the right singular vector of the right singular vector=a of described correction channel coefficient matrix * current channel coefficient matrix+(1-a) * historical channel coefficient matrix, wherein, 0＜a＜=1.

Described channel condition information correcting module, concrete being used for revised current channel coefficients correlation matrix according to historical channel coefficients correlation matrix, obtain revising the channel coefficients correlation matrix, described correction channel coefficients correlation matrix=b * current channel coefficients correlation matrix+(1-b) * historical channel coefficients correlation matrix, wherein, 0＜b＜=1.

Described channel condition information correcting module, concrete being used for revised the right singular vector of current channel coefficient matrix according to historical channel coefficients correlation matrix, obtain revising the right singular vector of channel coefficient matrix, concrete, historical channel coefficients correlation matrix R is SVD decomposes: R=V ∑ V ^HAfterwards, the right singular vector of the right singular vector=c of calculating correction channel coefficient matrix * current channel coefficient matrix+(1-c) * Colum (V, dim), wherein, 0＜c＜=1, Colum (V, dim) is for getting the front dim row of matrix V, and dim is the columns of the right singular vector of current channel coefficient matrix.

Described channel condition information correcting module, concrete being used for revised the modulation coding mode of current channel according to the modulation coding mode of historical channel, obtain revising the modulation coding mode of channel, concrete, at first calculate the value of (modulation coding mode of the modulation coding mode of d * current channel+(1-d) * historical channel), the value of described calculating is done rounded operation again, obtain the modulation coding mode of revising channel, wherein, 0＜d＜=1.

Described channel condition information correcting module, concrete being used for revised the order of current channel coefficient matrix according to the order of historical channel coefficient matrix, obtain revising the order of channel coefficient matrix, concrete, at first calculate the value of (order of the order of e * current channel coefficient matrix+(1-e) * historical channel coefficient matrix), the value of described calculating is done rounded operation again, obtain the order of revising channel coefficient matrix, wherein, 0＜e＜=1.

The present invention is based on data emitting method and the device of information feedback, transmitting terminal obtains the current channel condition information of receiving terminal feedback; Described transmitting terminal is revised described current channel condition information according to historical channel condition information, obtains revising channel condition information; Described transmitting terminal is according to revising the control information of using when channel condition information is determined to described receiving terminal transmitting data, and according to described control information to described receiving terminal transmitting data.The present invention revises by the channel condition information that the opposite end is fed back, thereby has strengthened the accuracy of channel condition information, has improved the accuracy of MIMO transmission mode and the accuracy of precoding, and then has improved data transmission performance.

Description of drawings

Fig. 1 is a kind of situation schematic diagram of uniting emission in the prior art;

Fig. 2 is the another kind of situation schematic diagram of uniting emission in the prior art;

Fig. 3 is the schematic flow sheet that the present invention is based on the data emitting method of information feedback;

Fig. 4 is the data sending apparatus structural representation that the present invention is based on information feedback;

Fig. 5 is channel condition information correction schematic diagram in the embodiment of the invention 1;

Fig. 6 is the channel condition information correction schematic diagram of single base station scene in the embodiment of the invention 2;

Fig. 7 is the channel condition information correction schematic diagram of CB scene in the embodiment of the invention 3;

Fig. 8 is the channel condition information correction schematic diagram of single base station MU-MIMO scene in the embodiment of the invention 4;

Fig. 9 is the channel condition information correction schematic diagram of SU-MIMO JT scene in the embodiment of the invention 5.

Embodiment

Basic thought of the present invention is: transmitting terminal obtains the current channel condition information of receiving terminal feedback; Described transmitting terminal is revised described current channel condition information according to historical channel condition information, obtains revising channel condition information; Described transmitting terminal is according to revising the control information of using when channel condition information is determined to described receiving terminal transmitting data, and according to described control information to described receiving terminal transmitting data

Fig. 3 is the schematic flow sheet that the present invention is based on the data emitting method of information feedback, and as shown in Figure 3, the method comprises:

Step 301: transmitting terminal obtains the current channel condition information of receiving terminal feedback.

Need to prove, current channel condition information can comprise following one or more: the right singular vector of current channel coefficient matrix, current channel coefficients correlation matrix, the modulation coding mode of current channel, the order of current channel coefficient matrix.

Step 302: described transmitting terminal is revised described current channel condition information according to historical channel condition information, obtains revising channel condition information.

Here, the channel condition information that historical channel condition information finger receiving end was fed back before feedback current channel condition information, can comprise following one or more: the right singular vector of historical channel coefficient matrix, historical channel coefficients correlation matrix, the modulation coding mode of historical channel, the order of historical channel coefficient matrix, accordingly, revising channel condition information can comprise following one or more: the order of the right singular vector of correction channel coefficient matrix, correction channel coefficients correlation matrix, the modulation coding mode of revising channel, correction channel coefficient matrix.

Need to prove, described transmitting terminal is revised described current channel condition information according to historical channel condition information, obtain revising channel condition information can for:

Right singular vector or historical channel coefficients correlation matrix according to historical channel coefficient matrix are revised the right singular vector of current channel coefficient matrix, obtain revising the right singular vector of channel coefficient matrix; Perhaps,

According to historical channel coefficients correlation matrix current channel coefficients correlation matrix is revised, obtained revising the channel coefficients correlation matrix; Perhaps,

Modulation coding mode according to historical channel is revised the modulation coding mode of current channel, obtains revising the modulation coding mode of channel; Perhaps,

Order according to historical channel coefficient matrix is revised the order of current channel coefficient matrix, obtains revising the order of channel coefficient matrix.

Optionally, according to the right singular vector of historical channel coefficient matrix the right singular vector of current channel coefficient matrix is revised, the right singular vector that obtains revising channel coefficient matrix is:

Revise the right singular vector of the right singular vector of the right singular vector=a of channel coefficient matrix * current channel coefficient matrix+(1-a) * historical channel coefficient matrix, wherein, 0＜a＜=1,

Optionally, according to historical channel coefficients correlation matrix current channel coefficients correlation matrix is revised, is obtained revising the channel coefficients correlation matrix and be:

Correction channel coefficients correlation matrix=b * current channel coefficients correlation matrix+(1-b) * historical channel coefficients correlation matrix, wherein, 0＜b＜=1.

Optionally, according to historical channel coefficients correlation matrix the right singular vector of current channel coefficient matrix is revised, the right singular vector that obtains revising channel coefficient matrix is:

Historical channel coefficients correlation matrix R is SVD to be decomposed: R=V ∑ V ^H

Calculate the right singular vector of revising channel coefficient matrix according to following formula:

The right singular vector of the right singular vector=c of correction channel coefficient matrix * current channel coefficient matrix+(1-c) * Colum (V, dim), wherein, 0＜c＜=1, Colum (V, dim) for getting the front dim row of matrix V, dim is the columns row of the right singular vector of current channel coefficient matrix.

Optionally, according to the modulation coding mode of historical channel the modulation coding mode of current channel is revised, the modulation coding mode that obtains revising channel is:

At first calculate the value of (modulation coding mode of the modulation coding mode of d * current channel+(1-d) * historical channel), the value of described calculating is done rounded operation again, obtain the modulation coding mode of revising channel, wherein, 0＜d＜=1;

Optionally, according to the order of historical channel coefficient matrix the order of current channel coefficient matrix is revised, the order that obtains revising channel coefficient matrix is:

At first calculate the value of (order of the order of e * current channel coefficient matrix+(1-e) * historical channel coefficient matrix), the value of described calculating is done rounded operation again, obtain the order of revising channel coefficient matrix, wherein, 0＜e＜=1.

Step 303: described transmitting terminal is according to revising the control information of using when channel condition information is determined to described receiving terminal transmitting data, and according to described control information to described receiving terminal transmitting data.

Control information generally comprises following one or more: precoding vectors, fluxion, modulation coding mode that transmitting terminal uses when receiving terminal sends data,

Described transmitting terminal according to revising the control information of using when channel condition information is determined to described receiving terminal transmitting data is: determine precoding vectors according to the right singular vector of revising channel coefficient matrix, determine modulation coding mode according to the modulation coding mode of revising channel, determine fluxion according to the order of revising channel coefficient matrix.

Optionally, described transmitting terminal sends described control information in described receiving terminal transmitting data.

The present invention also correspondingly discloses a kind of data sending apparatus based on information feedback, as shown in Figure 4, this device comprises: current channel condition acquisition of information module, channel condition information correcting module, control information determination module and data transmission module; Wherein,

Described current channel condition acquisition of information module is used for obtaining the current channel condition information that receiving terminal feeds back;

Described channel condition information correcting module is used for according to historical channel condition information, and the current channel condition information that current channel condition acquisition of information module is obtained is revised, and obtains revising channel condition information;

Described control information determination module, the control information of using when determining to described receiving terminal transmitting data for the correction channel condition information that correction obtains according to the channel condition information correcting module;

Described data transmission module, the control information that is used for determining according to the control information determination module is to described receiving terminal transmitting data.

Optionally, described channel condition information correcting module, concrete being used for revised the right singular vector of current channel coefficient matrix according to the right singular vector of historical channel coefficient matrix, obtain revising the right singular vector of channel coefficient matrix, the right singular vector of the right singular vector of the right singular vector=a of described correction channel coefficient matrix * current channel coefficient matrix+(1-a) * historical channel coefficient matrix, wherein, 0＜a＜=1.

Optionally, described channel condition information correcting module, concrete being used for revised current channel coefficients correlation matrix according to historical channel coefficients correlation matrix, obtain revising the channel coefficients correlation matrix, described correction channel coefficients correlation matrix=b * current channel coefficients correlation matrix+(1-b) * historical channel coefficients correlation matrix, wherein, 0＜b＜=1.

Optionally, described channel condition information correcting module, concrete being used for revised the right singular vector of current channel coefficient matrix according to historical channel coefficients correlation matrix, obtain revising the right singular vector of channel coefficient matrix, concrete, historical channel coefficients correlation matrix R is SVD decomposes: R=V ∑ V ^HAfterwards, the right singular vector of the right singular vector=c of calculating correction channel coefficient matrix * current channel coefficient matrix+(1-c) * Colum (V, dim), wherein, 0＜c＜=1, Colum (V, dim) is for getting the front dim row of matrix V, and dim is the columns of the right singular vector of current channel coefficient matrix.

Optionally, described channel condition information correcting module, concrete being used for revised the modulation coding mode of current channel according to the modulation coding mode of historical channel, obtain revising the modulation coding mode of channel, concrete, at first calculate the value of (modulation coding mode of the modulation coding mode of d * current channel+(1-d) * historical channel), again the value of described calculating is done and rounded operation, obtain the modulation coding mode of revising channel, wherein, 0＜d＜=1.

Optionally, described channel condition information correcting module, concrete being used for revised the order of current channel coefficient matrix according to the order of historical channel coefficient matrix, obtain revising the order of channel coefficient matrix, concrete, at first calculate the value of (order of the order of e * current channel coefficient matrix+(1-e) * historical channel coefficient matrix), again the value of described calculating is done and rounded operation, obtain the order of revising channel coefficient matrix, wherein, 0＜e＜=1.

Need to prove, among the present invention, in the situation of the right singular vector of feedback channel coefficient matrix or channel coefficients correlation matrix, need to carry out quantification treatment to right singular vector or the channel coefficients correlation matrix of channel coefficient matrix, for example, when the mode of receiving terminal by code book during to the right singular vector of transmitting terminal feedback channel coefficient matrix, the right singular vector of channel coefficient matrix is precoding vectors corresponding to code book.

Below in conjunction with specific embodiment technical scheme of the present invention is described in further detail.

Embodiment 1

Fig. 5 is channel condition information correction schematic diagram in the embodiment of the invention 1, and as shown in Figure 5, this embodiment may further comprise the steps:

Step 501: receiving terminal is processed the current channel condition information that obtains to the signals such as reference signal of transmitting terminal emission, and to feed back current channel condition information to transmitting terminal, current channel condition information may comprise following one or more: the right singular vector of current channel coefficient matrix, historical channel coefficients correlation matrix, the modulation coding mode of current channel, the order of current channel coefficient matrix.

Step 502: transmitting terminal obtains revising channel condition information based on historical channel condition information to current channel information correction after the current channel condition information of receiving the receiving terminal feedback.

Step 503: transmitting terminal is according to revising the controlled information of channel condition information, and passes data according to control information to receiving terminal.

Embodiment 2

The present embodiment is modified to example with the channel condition information under the single transmit end invented party's case is described.

Fig. 6 is the channel condition information correction schematic diagram of single base station scene in the present embodiment 2, and as shown in Figure 6, the method comprises:

Step 601: after feedback time arrived, receiving terminal was to transmitting terminal feedback current channel condition information cPMI ₁₁And cCQI ₁₁

Step 602: transmitting terminal is at first to cPMI ₁₁And cCQI ₁₁Revise, obtain and revise channel condition information mW ₁₁And mCQI ₁₁

MW ₁₁And mCQI ₁₁Be respectively to revise precoding vectors and revise modulation coding mode, symbolic significance can be with reference to the present embodiment among other embodiment.

Here, suppose to have received the historical channel condition information hPMI that receiving terminal feeds back before the transmitting terminal ₁₁And hCQI ₁₁, hPMI ₁₁Corresponding precoding vectors is hW ₁₁, cPMI ₁₁Corresponding precoding vectors is cW ₁₁, then revise channel condition information

mW ₁₁＝b×cW ₁₁+(1-b)×hW ₁₁；

mCQI ₁₁＝floor[c×cCQI ₁₁+(1-c)×hCQI ₁₁]。

Need to prove mCQI ₁₁Also can obtain in the following way:

mCQI ₁₁＝ceil[c×cCQI ₁₁+(1-c)×hCQI ₁₁]

Perhaps

mCQI ₁₁＝round[c×cCQI ₁₁+(1-c)×hCQI ₁₁]。

Floor is for rounding operation downwards, and ceil is the operation that rounds up, and round is the operation that rounds up.Step 603: transmitting terminal adopts mW ₁₁And mCQI ₁₁To the receiving terminal the transmission of data.

Need to prove, when not adopting amendment scheme, transmitting terminal directly adopts cPMI ₁₁And cCQI ₁₁To the receiving terminal the transmission of data.And cPMI is the pre-coding matrix index of receiving terminal feedback, and is corresponding one by one with a pre-coding matrix, in the present embodiment with cW ₁₁Corresponding one by one, and pre-coding matrix is normally to the quantification of the right singular vector of current channel coefficient matrix, so, mW ₁₁=b * cW ₁₁+ (1-b) * hW ₁₁Be equivalent to the correction to the right singular vector of current channel coefficient matrix, similar among other embodiment.

Embodiment 3

Fig. 7 is the channel condition information modification method schematic diagram of CB scene in the embodiment of the invention 3, and as shown in Figure 7, for receiving terminal 1, its service transmitting terminal is that transmitting terminal 1, cooperation transmitting terminal are transmitting terminal 2, and transmitting terminal 1 sends data to receiving terminal 1; Although transmitting terminal 2 also can cooperate with transmitting terminal 1, send data to receiving terminal 2, only send data instance by cooperation to receiving terminal 1 with transmitting terminal 1 in the present embodiment and illustrate, and transmitting terminal 2 still sends data with cooperation mode not to receiving terminal 2.This flow process comprises:

Step 701: receiving terminal 1 comprises PMI and CQI to transmitting terminal 1 feeding back channel state information, specifically is designated as cPMI ₁₁, cCQI ₁₁Receiving terminal 2 comprises PMI and CQI to transmitting terminal 1 and transmitting terminal 2 feeding back channel state informations, is designated as respectively cPMI ₁₂, cCQI ₁₂, and cPMI ₂₂, cCQI ₂₂

Step 702: 1 couple of cPMI of transmitting terminal ₁₁, cCQI ₁₁, cPMI ₁₂, cCQI ₁₂Revise, obtain the correction channel condition information, 2 couples of cPMI of transmitting terminal ₂₂, cCQI ₂₂Revise, obtain the correction channel condition information.

Transmitting terminal 1 is in the situation that revise, and supposes to have received before the transmitting terminal 1 the historical channel condition information hPMI of receiving terminal 1 feedback ₁₁And hCQI ₁₁, and the historical channel condition information hPMI of receiving terminal 2 feedbacks ₁₂And hCQI ₁₂, hPMI ₁₁Corresponding precoding vectors is hW ₁₁CPMI ₁₁Corresponding precoding vectors is cW ₁₁HPMI ₁₂Corresponding precoding vectors is hW ₁₂CPMI ₁₂Corresponding precoding vectors is cW ₁₂, then revise channel condition information

mW ₁₁＝b×cW ₁₁+(1-b)1/2×hW ₁₁；

mCQI ₁₁＝floor[c×cCQI ₁₁+(1-c)×hCQI ₁₁]；

mW ₁₂＝b×cW ₁₂+(1-b)×hW ₁₂；

mCQI ₁₂＝floor[c×cCQI ₁₂+(1-c)×hCQI ₁₂]。

The precoding vectors that uses when afterwards, receiving terminal 1 can be determined to receiving terminal 1 transmission data as follows:

$\arg \underset{W}{\max }\frac{{\left|\right|m{W}_{11}W\left|\right|}_F^2}{{\left|\right|m{W}_{12}W\left|\right|}_F^2+{\mathrm{\σ}}^2}$

And according to mCQI ₁₁And mCQI ₁₂The CQI that uses when determining to receiving terminal 1 transmission data.

Transmitting terminal 2 is in the situation that revise, and the correction channel condition information that uses in the time of still can determining to receiving terminal 2 the transmission of data with reference to the method among the embodiment 2 is concrete, 2 couples of cPMI of transmitting terminal ₂₂And cCQI ₂₂When revising, suppose to have received the channel condition information hPMI that receiving terminal 2 feeds back before the transmitting terminal 2 ₂₂And hCQI ₂₂, hPMI ₂₂Corresponding precoding vectors is hW ₂₂CPMI ₂₂Corresponding precoding vectors is cW ₂₂Then revise channel condition information

mW ₂₂＝b×cW22+(1-b)×hW ₂₂；

mCQI ₂₂＝floor[c×cCQI ₂₂+(1-c)×hCQI ₂₂]

Step 703: transmitting terminal 1 is based on mW ₁₁, mCQI ₁₁, mW ₁₂, mCQI ₁₂Send data to receiving terminal 1, transmitting terminal 2 adopts mW ₂₂And mCQI ₂₂To receiving terminal 2 the transmission of datas.

Embodiment 4

Fig. 8 is the channel condition information correction schematic diagram of single base station MU-MIMO scene in the embodiment of the invention 4, and as shown in Figure 8, this flow process comprises:

Step 801: receiving terminal 1 comprises PMI, CQI and Rank to the transmitting terminal feeding back channel state information, specifically is designated as cPMI ₁₁, cCQI ₁₁, cRank ₁₁Receiving terminal 2 comprises PMI, CQI and Rank to the transmitting terminal feeding back channel state information, is designated as cPMI ₁₂, cCQI ₁₂, cRank ₁₂

Step 802: transmitting terminal is to cPMI ₁₁, cCQI ₁₁Revise, obtain and revise channel condition information mW ₁₁, mCQI ₁₁, to cPMI ₁₂, cCQI ₁₂Revise, obtain and revise channel condition information mW ₁₂, mCQI ₁₂

Here, concrete modification method is with embodiment 2.

Step 803: transmitting terminal is based on mW ₁₁, mCQI ₁₁, cRank ₁₁Send data to receiving terminal 1, adopt mW ₁₂, mCQI ₁₂, cRank ₁₂To receiving terminal 2 the transmission of datas.

Can find out, the difference of this embodiment and embodiment 2 is: this embodiment is the scene of MU-MIMO, each receiving terminal can adopt with embodiment 2 in the channel condition information modification method.In addition, just the current channel condition information of part is revised in the present embodiment, for example cRank ₁₁And cRank ₁₂Do not revise.

Embodiment 5

Fig. 9 is the channel condition information correction schematic diagram of SU-MIMO JT scene in the present embodiment, and as shown in Figure 9, the method comprises:

Step 901: receiving terminal comprises PMI, CQI and Rank to transmitting terminal 1 feeding back channel state information, specifically is designated as cPMI ₁₁, cCQI ₁₁, cRank ₁₁Receiving terminal comprises PMI, CQI and Rank to transmitting terminal 2 feeding back channel state informations, is designated as cPMI ₁₂, cCQI ₁₂, cRank ₁₂

Step 902: 1 couple of cPMI of transmitting terminal ₁₁, cCQI ₁₁Revise, obtain and revise channel condition information mW ₁₁, mCQI ₁₁, 2 couples of cPMI of transmitting terminal ₁₂, cCQI ₁₂Revise, obtain and revise channel condition information mW ₁₂, mCQI ₁₂

Here, concrete modification method is with embodiment 2.

Step 903: transmitting terminal 1 and transmitting terminal 2 are based on mW ₁₁, mCQI ₁₁, cRank ₁₁, mW ₁₂, mCQI ₁₂, cRank ₁₂To the receiving terminal the transmission of data.

Need to prove, for embodiment 2 to 5, if when receiving terminal has fed back the channel coefficients correlation matrix to transmitting terminal, current channel coefficients correlation matrix cR is SVD decomposes:

cR＝V∑V ^H

mW＝b×cW+(1-b)×Colum(V，dim)，0＜b＜＝1。

Wherein, Colum (V, dim) is for getting the front dim row of matrix V, and dim is the order of current channel coefficient matrix.

Need to prove, the transmitting terminal among the present invention can be the equipment such as base station, Home eNodeB, relay station, also can be communication terminal, notebook computer, Hand Personal Computer etc.Similarly, receiving terminal is used for the data-signal of receiving end/sending end, and receiving terminal can be the terminal equipments such as mobile phone, notebook computer, Hand Personal Computer, also can be the base station, the control appliances such as relay station.

The above is preferred embodiment of the present invention only, is not for limiting protection scope of the present invention, all any modifications of doing within the spirit and principles in the present invention, is equal to and replaces and improvement etc., all should be included within protection scope of the present invention.

Claims (13)

1. the data emitting method based on information feedback is characterized in that, the method comprises:

Transmitting terminal obtains the current channel condition information of receiving terminal feedback;

Described transmitting terminal is revised described current channel condition information according to historical channel condition information, obtains revising channel condition information;

Described transmitting terminal is according to revising the control information of using when channel condition information is determined to described receiving terminal transmitting data, and according to described control information to described receiving terminal transmitting data.

2. method according to claim 1 is characterized in that,

Described current channel condition information comprises following one or more: the right singular vector of current channel coefficient matrix, current channel coefficients correlation matrix, the modulation coding mode of current channel, the order of current channel coefficient matrix;

Described historical channel condition information comprises following one or more: the right singular vector of historical channel coefficient matrix, historical channel coefficients correlation matrix, the modulation coding mode of historical channel, the order of historical channel coefficient matrix;

Described correction channel condition information comprises following one or more: the order of the right singular vector of correction channel coefficient matrix, correction channel coefficients correlation matrix, the modulation coding mode of revising channel, correction channel coefficient matrix.

3. method according to claim 2 is characterized in that, described transmitting terminal is revised described current channel condition information according to historical channel condition information, obtains revising channel condition information and is:

Right singular vector or historical channel coefficients correlation matrix according to historical channel coefficient matrix are revised the right singular vector of current channel coefficient matrix, obtain revising the right singular vector of channel coefficient matrix; Perhaps,

According to historical channel coefficients correlation matrix current channel coefficients correlation matrix is revised, obtained revising the channel coefficients correlation matrix; Perhaps,

Modulation coding mode according to historical channel is revised the modulation coding mode of current channel, obtains revising the modulation coding mode of channel; Perhaps,

Order according to historical channel coefficient matrix is revised the order of current channel coefficient matrix, obtains revising the order of channel coefficient matrix.

4. method according to claim 3 is characterized in that,

Described right singular vector according to historical channel coefficient matrix is revised the right singular vector of current channel coefficient matrix, and the right singular vector that obtains revising channel coefficient matrix is:

Revise the right singular vector of the right singular vector of the right singular vector=a of channel coefficient matrix * current channel coefficient matrix+(1-a) * historical channel coefficient matrix, wherein, 0＜a＜=1,

Describedly according to historical channel coefficients correlation matrix current channel coefficients correlation matrix is revised, is obtained revising the channel coefficients correlation matrix and be:

Correction channel coefficients correlation matrix=b * current channel coefficients correlation matrix+(1-b) * historical channel coefficients correlation matrix, wherein, 0＜b＜=1.

5. method according to claim 3 is characterized in that, describedly according to historical channel coefficients correlation matrix the right singular vector of current channel coefficient matrix is revised, and the right singular vector that obtains revising channel coefficient matrix is:

Historical channel coefficients correlation matrix R is SVD to be decomposed: R=V ∑ V ^H

Calculate the right singular vector of revising channel coefficient matrix according to following formula:

The right singular vector of the right singular vector=c of correction channel coefficient matrix * current channel coefficient matrix+(1-c) * Colum (V, dim), wherein, 0＜c＜=1, Colum (V, dim) for getting the front dim row of matrix V, dim is the columns of the right singular vector of current channel coefficient matrix.

6. method according to claim 3 is characterized in that,

Described modulation coding mode according to historical channel is revised the modulation coding mode of current channel, and the modulation coding mode that obtains revising channel is:

At first calculate the value of (modulation coding mode of the modulation coding mode of d * current channel+(1-d) * historical channel), the value of described calculating is done rounded operation again, obtain the modulation coding mode of revising channel, wherein, 0＜d＜=1;

Described order according to historical channel coefficient matrix is revised the order of current channel coefficient matrix, and the order that obtains revising channel coefficient matrix is:

At first calculate the value of (order of the order of e * current channel coefficient matrix+(1-e) * historical channel coefficient matrix), the value of described calculating is done rounded operation again, obtain the order of revising channel coefficient matrix, wherein, 0＜e＜=1.

7. according to claim 1 to 6 each described methods, it is characterized in that, described control information comprises following one or more: precoding vectors, fluxion, modulation coding mode that transmitting terminal uses when receiving terminal sends data, determine precoding vectors according to the right singular vector of revising channel coefficient matrix, determine modulation coding mode according to the modulation coding mode of revising channel, determine fluxion according to the order of revising channel coefficient matrix.

8. the data sending apparatus based on information feedback is characterized in that, this device comprises: current channel condition acquisition of information module, channel condition information correcting module, control information determination module and data transmission module; Wherein,

Described current channel condition acquisition of information module is used for obtaining the current channel condition information that receiving terminal feeds back;

Described channel condition information correcting module is used for according to historical channel condition information, and the current channel condition information that current channel condition acquisition of information module is obtained is revised, and obtains revising channel condition information;

Described control information determination module, the control information of using when determining to described receiving terminal transmitting data for the correction channel condition information that correction obtains according to the channel condition information correcting module;

Described data transmission module, the control information that is used for determining according to the control information determination module is to described receiving terminal transmitting data.

9. device according to claim 8 is characterized in that,

Described channel condition information correcting module, concrete being used for revised the right singular vector of current channel coefficient matrix according to the right singular vector of historical channel coefficient matrix, obtain revising the right singular vector of channel coefficient matrix, the right singular vector of the right singular vector of the right singular vector=a of described correction channel coefficient matrix * current channel coefficient matrix+(1-a) * historical channel coefficient matrix, wherein, 0＜a＜=1.

10. device according to claim 8, it is characterized in that, described channel condition information correcting module, concrete being used for revised current channel coefficients correlation matrix according to historical channel coefficients correlation matrix, obtain revising the channel coefficients correlation matrix, described correction channel coefficients correlation matrix=b * current channel coefficients correlation matrix+(1-b) * historical channel coefficients correlation matrix, wherein, 0＜b＜=1.

11. device according to claim 8 is characterized in that,

Described channel condition information correcting module, concrete being used for revised the right singular vector of current channel coefficient matrix according to historical channel coefficients correlation matrix, obtain revising the right singular vector of channel coefficient matrix, concrete, historical channel coefficients correlation matrix R is SVD decomposes: R=V ∑ V ^HAfterwards, the right singular vector of the right singular vector=c of calculating correction channel coefficient matrix * current channel coefficient matrix+(1-c) * Colum (V, dim), wherein, 0＜c＜=1, Colum (V, dim) is for getting the front dim row of matrix V, and dim is the columns of the right singular vector of current channel coefficient matrix.

12. device according to claim 8, it is characterized in that, described channel condition information correcting module, concrete being used for revised the modulation coding mode of current channel according to the modulation coding mode of historical channel, obtain revising the modulation coding mode of channel, concrete, at first calculate the value of (modulation coding mode of the modulation coding mode of d * current channel+(1-d) * historical channel), again the value of described calculating is done and rounded operation, obtain the modulation coding mode of revising channel, wherein, 0＜d＜=1.

13. device according to claim 8, it is characterized in that, described channel condition information correcting module, concrete being used for revised the order of current channel coefficient matrix according to the order of historical channel coefficient matrix, obtain revising the order of channel coefficient matrix, concrete, at first calculate the value of (order of the order of e * current channel coefficient matrix+(1-e) * historical channel coefficient matrix), again the value of described calculating is done and rounded operation, obtain the order of revising channel coefficient matrix, wherein, 0＜e＜=1.

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