CN102957516A - Adaptive data retransmission method and device - Google Patents

Abstract

The invention relates to the technical field of communication, in particular to adaptive data retransmission method and device. The method includes: a data receiver decodes received data and transmits a retransmission request to a base station in case of decoding errors; and after receiving the retransmission request, the base station selects an optimal retransmission coding matrix from a space-time coding matrix set according to optimal retransmission selection rules and respectively transmits the retransmitted data, newly transmitted data and an optimal preprocessing matrix number to relays, and the relays load the retransmitted data and the newly transmitted data transmitted by the base station into the optimal retransmission coding matrix in a distributed manner and forward the data to the data receiver. The method guarantees full diversity, high rate and linear decoding complexity of a retransmitted data stream and also guarantees real-time transmission of another data stream to be insusceptible to retransmission of the data stream, and resource utilization rate is high.

Description

A kind of adaptive retransmit method of data and device

Technical field

The application relates to wireless communication technology field, particularly relates to a kind of adaptive retransmit method and device of data.

Background technology

In broadband wireless communications; classified service is with different Q OS (Quality of Service; service quality) data flow of grade merges transmission by technology such as superimposed coding, hierarchical modulation; in a plurality of data flow of protection separately under the prerequisite of priority; realize simultaneously transmission, to save system resource.Yet may there be different demands in the data flow that classification transmits at aspects such as performance, time delays, for example, phone VOIP (Voice ove rInternet Protocol, the networking telephone) and data when downloading two kinds of business and carrying out classification, VOIP has the delay sensitive characteristic, does not support to retransmit; And the data download more lays particular emphasis on transmission quality, supports to retransmit to guarantee to receive the accuracy of signal.Therefore, need a kind of partial retransmission method for classified service to address this problem.

There is a kind of repeating method for classified service in the prior art; the basic principle of this method is: the phase I; base station (eNB; evolved Node B) to relaying (Relay) transmitted signal; employing transmits based on the hierarchical modulation technology of the qam constellation data stream merging with different priorities; high-priority traffic is mapped to high protection bit, and the data flow of low priority is mapped to low protection bit, thereby the data flow of different priorities can be transmitted simultaneously.Second stage, each relaying Relay transmits the base station eNB that receives to UE (USER Equipment, user terminal) with amplification forwarding (AF) form simultaneously and is signaled, and the transmission form is the wherein delegation of selected Space Time Coding matrix.At the receiver place, adopt single complex symbol ML decoding (Single Complex Symbol ML Decoding, SCSML) to solve simultaneously the data of two streams of high and low priority.When in two data flow of different priorities first-class making a mistake being arranged, base station eNB retransmits the data that make a mistake.At this moment, keep original priority of data retransmission constant, and the new biography data of another one data flow are carried out hierarchical modulation, realization merging transmission.At each relaying Relay place, carry out AF according to original encoder matrix form and transmit.After receiver receives the retransmission frame data, at first carry out single complex symbol ML decoding, obtain data retransmission and new biography data, data retransmission is carried out soft demodulation, obtain soft information, and then the soft information when transmitting first with these data merges, then carry out channel decoding.

In the process that realizes the application, the inventor finds that there are the following problems at least in the prior art: the technical scheme of prior art is when retransmitting generation, data retransmission and new biography data are still adopted fixing encoder matrix, do not consider that whether this encoder matrix form still is fit to current instantaneous channel status, can not guarantee the reliability that retransmits.

On the other hand, receiver adopts single complex symbol maximum-likelihood decoding of minimum decoding complexity all the time, for 16QAM, real, the imaginary part of each 16QAM symbol all have respectively 4 kinds of possibilities, high reps to reality, imaginary part Syndicating search is 16 times, complexity is high, to receiver require too high.

Again on the one hand, prior art adopts based on the high order modulation technology of the 16QAM constellation data stream merging with different priorities transmitted signal and transmits, yet, restriction relation is too tight between two data flow under the 16QAM hierarchical modulation, because in a 16QAM symbol, the QPSK symbol performance that power is lower is subject to the higher QPSK symbol of power.When the data of high prioritized bit position at receiver place decoding error, then the data of low priority bit must make a mistake.Thereby causing retransmitting frequency strengthens.

At last, when retransmitting generation, receiver can only be after the soft information that obtains data retransmission, and the soft information of the transmission of data merges first together, then carries out channel decoding.This merging belongs to the merging of bit-level, and it is lower to merge rank.Rank is lower, merging more lags behind and merge, and the mutual information loss is larger, and performance gain obtains fewer.

Summary of the invention

For solving the problems of the technologies described above, the embodiment of the present application provides data adaptive repeating method and the device that a kind of reliability is high, decoding complexity is low.

Technical scheme is as follows:

A kind of adaptive retransmit method of data, described method comprises:

Data receiver is deciphered the data that receive, if decoding error occurs, described data receiver sends repeat requests to the base station;

After described base station receives described repeat requests, in the Space Time Coding set of matrices, retransmit Criterion of Selecting according to optimum and choose the optimum encoder matrix that retransmits, data retransmission, new biography data and optimum preconditioning matrix numbering are sent to each relaying, in the mode that distributes data retransmission and the new biography data loading that described base station sends entered the optimum encoder matrix that retransmits by each relaying, be forwarded to described data receiver.

Preferably, described Space Time Coding set of matrices obtains by following steps:

According to the quantity of relaying, choose a line number and equal the minimum decoding complexity space-time block code MDC-QO-STBC matrix of quantity of described relaying as the basic coding matrix;

Capable order to described basic coding matrix is carried out conversion, obtains the Space Time Coding set of matrices.

Preferably, described Space Time Coding set of matrices is:

The capable order of described basic coding matrix is carried out in the Space Time Coding matrix that conversion obtains, have the set that the Space Time Coding matrix of disturbance item absolute value forms.

Preferably, the described optimum Criterion of Selecting that retransmits is specially:

From described Space Time Coding set of matrices, the encoder matrix of choosing the absolute value minimum of distracter sum corresponding to encoder matrix when satisfying distracter corresponding to described encoder matrix and transmitting first retransmits encoder matrix as optimum.

Preferably, describedly in the mode that distributes data retransmission and the new biography data loading that described base station sends entered optimum the re-transmission in the encoder matrix by each relaying, is forwarded to described data receiver and specifically comprises:

Each relaying is chosen preconditioning matrix by optimum preconditioning matrix numbering and the re-transmitted signal that receives is carried out linear process, the re-transmitted signal after obtaining processing from the coefficient matrix set; Described re-transmitted signal is comprised of data retransmission and new biography data;

The re-transmitted signal of each relaying after with described processing is loaded into the optimum encoder matrix that retransmits and is sent to data receiver, and the re-transmitted signal after the described processing that described each relaying sends consists of distributed space time block coding DSTBC matrix.

Preferably, data retransmission and new biography data that described each relaying is sent out the base station in the mode that distributes are loaded into optimum re-transmission encoder matrix simultaneously, and are forwarded to after the described data receiver, and described method further comprises:

After described data receiver receives re-transmitted signal, decipher and obtain described data retransmission and new biography data.

Preferably, after described data receiver receives re-transmitted signal, decipher and obtain described data retransmission and the new biography data specifically comprise:

The described data retransmission that described data receiver will receive carries out symbol level with the corresponding first data of transmission and merges, and adopts the linearity test algorithm, obtains the data that retransfer;

Described data receiver obtains described new biography data to the single complex symbol maximum likelihood algorithm of the new biography the data that receives.

Preferably, the data communication device that receives of described data receiver is crossed following steps and is obtained:

Preliminary treatment is carried out to transmitted signal first in described base station, sends pretreated signal to each relaying;

Described each relaying carries out respectively linear process to the received signal, each relaying signal after the described data receiver transmission processing simultaneously then, and the signal after the described processing consists of distributed space time block coding DSTBC matrix.

Preferably, described transmitted signal is to map to standard planisphere gained after the decoding of information bit channel.

Preferably, preliminary treatment is carried out to transmitted signal first in described base station, sends pretreated signal to each relaying and specifically comprises:

Described base station with real, the imaginary component of described transmitted signal from and arranged sequentially;

Multiply by a preconditioning matrix, obtain the transmitted signal of reality, imaginary part restructuring, the numbering of described transmitted signal and preconditioning matrix is sent to each relaying with the signaling form; The numbering of described preconditioning matrix is identical with the numbering of described relaying;

Described each relaying carries out to the received signal respectively linear process and specifically comprises:

The described transmitted signal of described relay reception, and from the preconditioning matrix group, choose the preconditioning matrix corresponding with the relaying numbering according to the numbering of described preconditioning matrix and carry out to the received signal linear process.

Disclosed herein as well is a kind of base station, described base station comprises:

The repeat requests acquisition module is used for obtaining the repeat requests that data receiver sends to described base station;

The data retransmission sending module is used for retransmitting Criterion of Selecting at the Space Time Coding set of matrices according to optimum and chooses the optimum encoder matrix that retransmits, and data retransmission, new biography data and optimum preconditioning matrix is edited and released delivered to a relaying.

Preferably, described base station further comprises:

Encoder matrix set acquisition module, be used for the quantity according to relaying, choose the MDC-QO-STBC encoder matrix of quantity that a line number equals described relaying as the basic coding matrix, the capable order of described basic coding matrix is carried out conversion, obtain the Space Time Coding set of matrices.

Preferably, described base station further comprises:

The first pretreatment module is used for transmitted signal is first carried out preliminary treatment, obtains the transmitted signal of reality, imaginary part restructuring, and sends pretreated signal to each relaying.

Preferably, described the first pretreatment module is specially:

Described the first pretreatment module be used for real, the imaginary component of described transmitted signal from and arranged sequentially, multiply by a preconditioning matrix, obtain the transmitted signal of reality, imaginary part restructuring, the numbering of described transmitted signal and preconditioning matrix is sent to each relaying with the signaling form; The numbering of described preconditioning matrix is identical with the numbering of described relaying.

Disclosed herein as well is a kind of relaying, described relaying comprises:

Forwarding module, be used for receiving data retransmission, new biography data and the optimum preconditioning matrix numbering that the base station sends, and in the mode that distributes data retransmission and the new biography data loading that described base station sends entered the optimum encoder matrix that retransmits, be forwarded to described data receiver.

Preferably, described relaying also comprises:

The first linear processing module is used for receiving from the base station first transmitted signal, and chooses the preconditioning matrix corresponding with the relaying numbering according to the preconditioning matrix numbering from the preconditioning matrix group and carry out to the received signal linear process.

Preferably, described relaying comprises:

The second linear process module is used for choosing preconditioning matrix from the coefficient matrix set by optimum pre-coding matrix numbering the re-transmitted signal that receives is carried out linear process.

Disclosed herein as well is a kind of data receiver UE, described receiving terminal UE comprises:

The repeat requests module is used for sending repeat requests to the base station when the data that receive being deciphered the generation decoding error.

Preferably, described receiving terminal UE further comprises:

Symbol level merges module, and the data retransmission that is used for receiving carries out symbol level with the corresponding first data of transmission and merges;

The linearity test module is used for the data retransmission that carries out after symbol level merges is adopted the linearity test algorithm, obtains the data that retransfer;

The Maximum Likelihood Detection module is used for the single complex symbol Maximum Likelihood Detection of the new biography the data that receives is obtained the new biography data.

Disclosed herein as well is a kind of adaptive retransmission device of data, described device comprises:

Data receiver is used for sending repeat requests to the base station when the data that receive being deciphered the generation decoding error;

The base station after being used for receiving described repeat requests, retransmits Criterion of Selecting according to optimum and chooses the optimum encoder matrix that retransmits in the Space Time Coding set of matrices, data retransmission, new biography data and optimum preconditioning matrix numbering are sent to relaying;

Relaying is used for and will data retransmission and the new biography data loading that the base station sends be entered the optimum encoder matrix that retransmits in the mode that distributes, and is forwarded to described data receiver.

The application's beneficial effect is: provide in the technical scheme in the application, when occuring to retransmit, choosing of the encoder matrix of base station when retransmitting, to retransmit encoder matrix according to the optimum that current instantaneous channel information self adaptation is chosen, thereby guarantee that selected encoder matrix is more suitable for current channel condition, make to retransmit the reliability lifting.On the other hand, the application chooses the optimum encoder matrix that retransmits owing to retransmit Criterion of Selecting according to optimum in the encoder matrix set, so that when re-transmitted signal is deciphered, making detection algorithm detect from single complex symbol ML, receiving terminal is converted into linearity test, the reduced complexity of receiving terminal decoding.

Again on the one hand, since the application to transmitted signal for mapping to standard planisphere gained, namely adopt the QPSK modulation, therefore do not retransmitting in the situation about occuring, MDC-QO-STBC under the QPSK modulation is carried out single complex symbol Maximum Likelihood Detection of minimum decoding complexity, high reps to reality, imaginary part Syndicating search only is 4 times, and complexity is very low, is easy to realize; Occur if retransmit, adopt the linearity test algorithm, i.e. MMSE detection, ZF detect scheduling algorithm and can approach the ML Algorithm Performance, and complexity significantly reduces on the original basis.

In addition, in this application owing to adopt the QPSK symbol, keep independent between the data flow that two have a different Q OS grade, namely the transmission performance of the two can not influence each other, get final product thereby carry out only carrying out partial retransmission for the wrong data flow of biography, retransmit frequency and control to very low.

At last, and among the application, when retransmit occur after, data retransmission and first the reception signal of the transmission of data merge in the symbol rank, will be much smaller than bit level merging at the mutual information loss amount of symbol level merging, performance gain can be more remarkable.

Description of drawings

In order to be illustrated more clearly in the embodiment of the present application or technical scheme of the prior art, the below will do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art, apparently, the accompanying drawing that the following describes only is some embodiment that put down in writing among the application, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain according to these accompanying drawings other accompanying drawing.

Method the first embodiment flow chart that Fig. 1 provides for the application;

Fig. 2 is the schematic diagram of time-division semiduplex many relaying cooperations system;

Method the second embodiment flow chart that Fig. 3 provides for the application;

The data adaptive retransmission arrangement schematic diagram that Fig. 4 provides for the application;

Fig. 5 is the embodiment of the present application base station schematic diagram.

Embodiment

The embodiment of the present application provides data adaptive repeating method and the device that a kind of reliability is high, decoding complexity is low.In order to make those skilled in the art person understand better technical scheme among the application, below in conjunction with the accompanying drawing in the embodiment of the present application, technical scheme in the embodiment of the present application is clearly and completely described, obviously, described embodiment only is the application's part embodiment, rather than whole embodiment.Based on the embodiment among the application, those of ordinary skills are not making the every other embodiment that obtains under the creative work prerequisite, all should belong to the scope of the application's protection.

At first the adaptive retransmit method of a kind of data of the application described.

In broadband wireless communications, classified service merges the data flow of different Q OS grade and sends by technology such as superimposed coding, hierarchical modulation, separately under the prerequisite of priority, realizes simultaneously transmission, to save system resource in a plurality of data flow of protection.Choosing of the encoder matrix that uses for when transmission is to average out between full diversity, two-forty, moderate decoding complexity.Below we are introduced Space Time Coding matrix commonly used.

Quadrature space-time block code (Orthogonal STBC, O-STBC) can satisfy full diversity and linear decoding complexity, yet when sending out antenna number greater than 2 the time, can not guarantee simultaneously the full rate transmission.QO-STBC (quasi-Orthogonal Space Time Block Code with constellation rotation, pseudo-quadrature space-time block code) then loosened the completely orthogonal requirement of all symbols of O-STBC, can obtain simultaneously full rate and full diversity, yet need to adopt ML decoding at nonopiate intersymbol, than the linearity decoding of O-STBC, complexity strengthens.MDC-QO-STBC belongs to the class of QO-STBC, be characterized in the code word quadrature between each complex symbol, and it is nonopiate between inner real, the imaginary part of every complex symbol, so maximum likelihood (ML) decoding only needs to carry out a complex symbol inside, be called " single complex symbol ML decoding " (Single Complex Symbol ML Decoding, SCSML), therefore MDC-QO-STBC is in the STBC matrix of all non-linear decodings, a class code word of decoding complexity minimum.

In the prior art, there is a kind of repeating method for classified service.The principle of this method is: eNB is divided into two stages with the communication between UE.Phase I; the eNB place is to the Relay transmitted signal; adopt hierarchical modulation technology that the data stream merging of different priorities is transmitted; high-priority traffic is mapped to high protection bit; the data flow of low priority is mapped to low protection bit; thereby the data flow of different priorities can be transmitted simultaneously, and keep protection class separately.Hierarchical modulation based on qam constellation is a kind of main flow way.In the 16QAM constellation, high-priority traffic is mapped as quadrant bit (front 2), and low-priority data stream is mapped as with the bit in the quadrant (rear 2).Because the distance between the quadrant is very large, so high-priority traffic is not easy erroneous judgement.And under the certain condition of energy, the distance that has widened bit between quadrant means the judging distance that has reduced quadrant Nepit position, has produced thus different protection class.In addition, qam constellation can also be distinguished from the symbol rank priority of multithread, and for example a 16QAM symbol can be understood as the time domain stack that two power ratios are 4: 1 QPSK symbol.First QPSK symbol is that front dibit maps to QPSK constellation gained, the rear dibit of second corresponding 16QAM symbol of QPSK symbol, but be not employing standard QPSK planisphere, but decide according to first QPSK symbol concrete quadrant position, namely a kind of planisphere of corresponding second QPSK symbol is distinguished in each quadrant position.

Second stage, each Relay transmits the eNB that receives to UE with amplification forwarding (AF) form simultaneously and is signaled, and the transmission form is the wherein delegation of selected Space Time Coding matrix.

At the receiver place, adopt the decoding algorithm of MDC-QO-STBC, namely single complex symbol ML deciphers, and solves simultaneously the data of two streams of high and low priority.When in two streams of classification first-class making a mistake being arranged, eNB retransmits it.Keep original priority of data retransmission constant, and the new biography data of another one data flow are carried out hierarchical modulation, realization merging transmission.At each Relay place, carry out AF according to original encoder matrix form and transmit.After receiver receives the retransmission frame data, at first carry out MDC-QO-STBC decoding, obtain data retransmission and new biography data, data retransmission is carried out soft demodulation, obtain soft information, thereby the soft information when transmitting first with these data merges, and then carries out channel decoding.

Prior art is owing to adopt the mode of 16QAM high order modulation to realize that the merging of data sends, comprise two data flow in each 16QAM symbol, therefore the restriction relation between two data flow is too tight, the data flow performance that power is lower is subject to the higher data flow of power, if the high prioritized bit position is at receiver place decoding error, then the low priority bit must make a mistake, and strengthens thereby cause retransmitting frequency.In addition, when retransmitting, still adopt fixing encoder matrix, do not consider whether encoder matrix still is fit to current instantaneous channel status, and reliability is not high.In addition, the interpretation method complexity of prior art is too high, to receiver require too high.When retransmitting generation, the soft information of the soft information of data retransmission with first transmission is merged, information loss is larger, and it is less to obtain performance gain.

The application a kind of data adaptive repeating method is proposed, go for the data re-transmission of classified service.When the method that the application provides can be applied to distributed space in the treatment system.At first in many relaying cooperations system, the classification that realizes multi-stream data by the distributed space-time block code of minimum decoding complexity (MDC-QO-DSTBC) transmits, and then provide a kind of adaptive partial retransmission method, can guarantee that the data flow that retransmits realizes full diversity, two-forty, linear decoding complexity, can guarantee that again the re-transmission of this data flow does not affect the real-time Transmission of another data flow.

Referring to Fig. 1, method the first embodiment flow chart that provides for the application.

S101, data receiver is deciphered the data that receive, if decoding error occurs, described data receiver sends repeat requests to the base station.

S102, after described base station receives described repeat requests, in the Space Time Coding set of matrices, retransmit Criterion of Selecting according to optimum and choose the optimum encoder matrix that retransmits, data retransmission, new biography data and optimum preconditioning matrix numbering are sent to each relaying, in the mode that distributes data retransmission and the new biography data loading that described base station sends entered described optimum the re-transmission in the encoder matrix by each relaying, be forwarded to described data receiver.

The method that provides below in conjunction with accompanying drawing the embodiment of the present application describes in detail.

Referring to Fig. 2, be the schematic diagram of time-division semiduplex many relaying cooperations system.

Time-division semiduplex many relaying cooperations system, by 1 eNB, 1 UE, and K Relay form, as shown in Figure 2.Wherein each node all disposes single antenna, and the hold mark level is synchronous.If h _kAnd g _kRepresent respectively eNB to the k via node R _kAnd R _kTo the channel fading coefficient between UE, independent same distribution (i.i.d.) in

(0,1), and numerical value remains unchanged within the transmission time of T symbol.ENB can be known h according to channel reciprocity _k, simultaneously can be according to R _kFeedback know g _k, and R _kOnly has g _kInformation.

The below is take the cooperative system of relaying number as 4 as example, and the method that the application is provided describes.Two data flow with different priorities are respectively loaded into same MDC-QO-STBC matrix, realize simultaneously distributed transmission.In addition, consider wherein only to exist a data flow to lay particular emphasis on transmission quality, support to retransmit; And another data flow lays particular emphasis on real-time, does not support the situation that retransmits to provide adaptive partial retransmission method.

Method the second embodiment flow chart that Fig. 3 provides for the application.

In classified service, if data flow 1 is supported to retransmit, data flow 2 is not supported to retransmit, and the two is respectively given priority on performance and time delay demand, to adapt to different business.For 4 relaying distributed collaboration systems based on MDC-QO-DSTBC, x=[x that eNB signals ₁, x ₂, x ₃, x ₄] ^T, then the data with data flow 1, data flow 2 map to respectively former and later two symbols x _Stream1=[x ₁, x ₂] ^T, x _Stream2=[x ₃, x ₄] ^TThereby when each unitary construction DSTBC of relaying place, realization will flow 1, the classification of stream 2 merges transmission.Here, keep independent between the data flow of two different priorities, the transmission performance of the two can not influence each other.

The below is introduced the first transmission course of data.

S301, preliminary treatment is carried out to transmitted signal first in described base station, sends pretreated signal to each relaying.

Preferably, described transmitted signal maps to standard planisphere gained after being the decoding of information bit channel, is the QPSK symbol.

Preferably, described step S301 is specially:

The base station with real, the imaginary component of described transmitted signal from and arranged sequentially, multiply by a preconditioning matrix, obtain the transmitted signal of reality, imaginary part restructuring, obtain the encoder matrix of transmitted signal, so that the signal power normalization that the base station sends.Described base station is sent to each relaying with encoder matrix and the preconditioning matrix numbering corresponding to each row of described encoder matrix of described transmitted signal with the signaling form.The numbering of described preconditioning matrix is identical with the numbering of described relaying.

Specific to present embodiment, in the first transmission of data flow 1, data flow 2, to each relaying Relay transmitted signal, described transmitted signal maps to standard planisphere gained after being the decoding of information bit channel to base station eNB, is the QPSK symbol with the forms of broadcasting.

Base station eNB successively with Q symbol as a pretreatment unit, with x=[x ₁, x ₂... x _Q] ^TBe example, the real imaginary component of each element among the x from also arranged sequentially, is obtained

Wherein () ^R, () ^IRepresent respectively real, the imaginary part of complex symbol.For

The preconditioning matrix P that is Q * 2Q with a size does following processing:

$\tilde{x}={\left(P\hat{x}\right)}^T---\left(1\right)$

Described preconditioning matrix P makes the complex symbol of transmission obtain splitting and restructuring, can guarantee the signal power normalization that the base station sends simultaneously, namely satisfies:

$E\left[\tilde{x}{\tilde{x}}^H\right]=1$

Base station eNB sends to each relaying Relay

R _kOn the reception vector be:

$r_k=h_k\tilde{x}+n_k---\left(2\right)$

N wherein _kBe additive white Gaussian noise, submit to

(0,1).In the transmitted signal power of this hypothesis eNB and the equal normalization of received signal power of UE, and the signal transmitting power of each Relay equates, is 1/K.

To sum up, in the first transmission of data flow 1 and data flow 2, any one MDC-QO-STBC code word of base station selection is as the basic coding matrix of DSTBC, and it is carried out preliminary treatment, and the preconditioning matrix group # that each row of matrix is corresponding is sent to each Relay with the signaling form.

Step S302, described each relaying carry out respectively linear process to the received signal, each relaying signal after the described data receiver transmission processing simultaneously then, and the signal after the described processing consists of distributed space time block coding DSTBC matrix.

Concrete, described step S302 comprises:

S302A, described relaying receives transmitted signal from the base station, and chooses the preconditioning matrix corresponding with the relaying numbering according to described preconditioning matrix numbering from the preconditioning matrix group and carry out to the received signal linear process.

Because system works is in the AF pattern, Relay is to the linear operation that is treated to of signal.R _k(k=1,2 ... K) dispose respectively one group of coefficient matrix { U that is used for carrying out receiving separately signal rk linear process _k, V _K, matrix size is Q * T.

Concrete, in the embodiment of the present application, be to put into as the basic coding matrix of DSTBC with MDC-QO-STBC.The below provides N _tA MDC-QO-STBC code word example of=4 o'clock.

Wherein, suppose that the G matrix is one and comprises Q complex symbol, the big or small N of being _tThe matrix G of * T, its transmission rate is R _STBC=Q/T.G can following form represent:

$G=\underset{q=1}{\overset{Q}{\mathrm{\Σ}}}(x_q^R{A}_q+x_q^I{B}_q)---\left(3\right)$

Wherein

Be a complex symbol of G matrix, and { A _q, B _qBe respectively in fact, the diffusion matrix of imaginary part, size is N _t* T.

Also can be expressed as:

$G=\left(\begin{array}{cccc}{x}_1^R+{\mathrm{jx}}_3^R& -x_2^R+{\mathrm{jx}}_4^R& -x_1^I+{\mathrm{jx}}_3^I& x_2^I+{\mathrm{jx}}_4^I\\ x_2^R+{\mathrm{jx}}_4^R& x_1^R-{\mathrm{jx}}_3^R& -x_2^I+{\mathrm{jx}}_4^I& -x_1^I-{\mathrm{jx}}_3^I\\ -x_1^I+{\mathrm{jx}}_3^I& x_2^I+{\mathrm{jx}}_4^I& x_1^R+{\mathrm{jx}}_3^R& -x_2^R+{\mathrm{jx}}_4^R\\ -x_2^I+{\mathrm{jx}}_4^I& -x_1^I-{\mathrm{jx}}_3^I& x_2^R+{\mathrm{jx}}_4^R& x_1^R-{\mathrm{jx}}_3^R\end{array}\right)---\left(4\right)$

Take above-mentioned G matrix as example, k relaying R _kPreconditioning matrix group { U _k, V _kBe taken as { E _k, F _k(k=1,2,3,4) get final product, namely relaying is chosen the preconditioning matrix corresponding with the relaying numbering according to described preconditioning matrix numbering and is carried out to the received signal linear process from the preconditioning matrix group.

In the embodiment of the present application, each cooperative relaying is equivalent to a transmitting antenna of DSTBC matrix, and the transmitted signal unitary construction of all relayings goes out an equivalent MDC-QO-STBC.At this moment, the source node preconditioning matrix P of DSTBC and via node preconditioning matrix group { U _k, V _K, all can be by N _tThe MDC-QO-STBC encoder matrix of=K extracts and obtains.Take G matrix (4) as example, four elements establishing G matrix the first row are followed successively by

Then have:

$\tilde{x}=[{\tilde{x}}_1,{\tilde{x}}_2,{\tilde{x}}_3,{\tilde{x}}_4]={\left(P\hat{x}\right)}^T={\left(P{[x_1^R,x_1^I,...x_4^R,x_4^I]}^T\right)}^T---\left(5\right)$

Thereby obtain preconditioning matrix P:

$P=\left[\begin{array}{cccccccc}1& 0& 0& 0& j& 0& 0& 0\\ 0& 0& -1& 0& 0& 0& j& 0\\ 0& -1& 0& 0& 0& j& 0& 0\\ 0& 0& 0& 1& 0& 0& 0& j\end{array}\right]---\left(6\right)$

The G matrix then is converted to following form:

$\tilde{G}=\left(\begin{array}{cccc}{\tilde{x}}_1& {\tilde{x}}_2& {\tilde{x}}_3& {\tilde{x}}_4\\ -{{\tilde{x}}_2}^{*}& {{\tilde{x}}_1}^{*}& -{{\tilde{x}}_4}^{*}& {{\tilde{x}}_3}^{*}\\ {\tilde{x}}_3& {\tilde{x}}_4& {\tilde{x}}_1& {\tilde{x}}_2\\ -{{\tilde{x}}_4}^{*}& {{\tilde{x}}_3}^{*}& -{{\tilde{x}}_2}^{*}& {{\tilde{x}}_1}^{*}\end{array}\right)---\left(7\right)$

Will

Every delegation respectively with

The F form represents, then with coefficient matrix group { E corresponding to n (n=1,2,3,4) row _n, F _nAs follows, wherein 0 ₄The expression size is 4 * 4 full 0 matrix.Like this with R _kPreconditioning matrix group { U _k, V _KBe taken as { E _n, F _nGet final product.

${\mathrm{<figure-callout\; id="1"\; label="E"\; filenames="HDA0000086388620000012.png"\; state="\{\{state\}\}">E</figure-callout>}}_1=\left[\begin{array}{cccc}1& 0& 0& 0\\ 0& 1& 0& 0\\ 0& 0& 1& 0\\ 0& 0& 0& 1\end{array}\right]{\mathrm{<figure-callout\; id="2"\; label="F"\; filenames="HDA0000086388620000022.png"\; state="\{\{state\}\}">F</figure-callout>}}_2=\left[\begin{array}{cccc}0& 1& 0& 0\\ -1& 0& 0& 0\\ 0& 0& 0& 1\\ 0& 0& -1& 0\end{array}\right]$

${\mathrm{<figure-callout\; id="3"\; label="E"\; filenames="HDA0000086388620000022.png,HDA0000086388620000031.png"\; state="\{\{state\}\}">E</figure-callout>}}_3=\left[\begin{array}{cccc}0& 0& 1& 0\\ 0& 0& 0& 1\\ 1& 0& 0& 0\\ 0& 1& 0& 0\end{array}\right]F_4=\left[\begin{array}{cccc}0& 0& 0& 1\\ 0& 0& -1& 0\\ 0& 1& 0& 0\\ -1& 0& 0& 0\end{array}\right]---\left(8\right)$

F ₁＝E ₂＝F ₃＝E ₄＝0 ₄

Step S302B, each relaying be the signal after the receiving terminal transmission processing simultaneously, and the signal after the described processing consists of distributed space time block coding DSTBC matrix.

Concrete, with () ^*The conjugation of expression vector,

Expression R _kNoise power, R then _kTransmitted signal be:

$t_k=\frac{1}{\sqrt{K({\left|h_k\right|}^2+{\mathrm{\&sigma;}}_{R_k}^2)}}\{r_k{U}_k+r_k^{*}{V}_k\}---\left(9\right)$

S303, data receiver receives the signal that is sent by described relaying, and described signal is deciphered.

Suppose w ^-

(0,1) is the additive white Gaussian noise at UE place, and then the reception signal at data receiver UE place is:

$y=\underset{k=1}{\overset{K}{\mathrm{\&Sigma;}}}{g}_k{t}_k+w---\left(10\right)$

In (9) substitution (10), can obtain:

$y=\frac{1}{\sqrt{K}}[\frac{g_1}{\sqrt{({\left|{\mathrm{<figure-callout\; id="1"\; label="h"\; filenames="HDA0000086388620000012.png"\; state="\{\{state\}\}">h</figure-callout>}}_1\right|}^2+{\mathrm{\&sigma;}}_{{\mathrm{<figure-callout\; id="1"\; label="R"\; filenames="HDA0000086388620000012.png"\; state="\{\{state\}\}">R</figure-callout>}}_1}^2)}}\&CenterDot;\&CenterDot;\&CenterDot;\frac{g_K}{\sqrt{({\left|h_K\right|}^2+{\mathrm{\&sigma;}}_{R_K}^2)}}]X\left(x\right)+\mathrm{\&eta;}---\left(11\right)$

In the following formula, equivalent STBC matrix X (x) and equivalent noise η expression formula are respectively:

$X\left(x\right)={[{[h_1\tilde{x}{\mathrm{<figure-callout\; id="1"\; label="U"\; filenames="HDA0000086388620000012.png"\; state="\{\{state\}\}">U</figure-callout>}}_1+{\left(h_1\tilde{x}\right)}^{*}{V}_1]}^T\&CenterDot;\&CenterDot;\&CenterDot;{[h_K\tilde{x}{U}_k+{\left(h_K\tilde{x}\right)}^{*}{V}_K]}^T]}^T---\left(12\right)$

$\mathrm{\&eta;}=\frac{1}{\sqrt{K}}\underset{k=1}{\overset{K}{\mathrm{\&Sigma;}}}\frac{g_k}{\sqrt{({\left|h_k\right|}^2+{\mathrm{\&sigma;}}_{R_k}^2)}}(n_k{U}_k+n_k^{*}{V}_k)+w---\left(13\right)$

If adopt

Be the encoder matrix of DSTBC, channel fading coefficient between the eNB to Relay of X (x) in (13) extracted, then have:

$X\left(x\right)=\left[\begin{array}{cccc}{h}_1& & & \\ & {{\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="HDA0000086388620000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_2}^{*}& & \\ & & h_3& \\ & & & {h_4}^{*}\end{array}\right]\tilde{G}\left(x\right)---\left(14\right)$

(11) be converted into:

$y=\frac{1}{\sqrt{K}}\left[\begin{array}{cc}\frac{g_1{h}_1}{\sqrt{({\left|{\mathrm{<figure-callout\; id="1"\; label="h"\; filenames="HDA0000086388620000012.png"\; state="\{\{state\}\}">h</figure-callout>}}_1\right|}^2+{\mathrm{\&sigma;}}_{{\mathrm{<figure-callout\; id="1"\; label="R"\; filenames="HDA0000086388620000012.png"\; state="\{\{state\}\}">R</figure-callout>}}_1}^2)}}& \frac{g_2{{\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="HDA0000086388620000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_2}^{*}}{\sqrt{({\left|{\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="HDA0000086388620000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_2\right|}^2+{\mathrm{\&sigma;}}_{{\mathrm{<figure-callout\; id="2"\; label="R"\; filenames="HDA0000086388620000022.png"\; state="\{\{state\}\}">R</figure-callout>}}_2}^2)}}\&CenterDot;\&CenterDot;\&CenterDot;\\ \&CenterDot;\&CenterDot;\&CenterDot;\frac{g_3{h}_3}{\sqrt{({\left|{\mathrm{<figure-callout\; id="3"\; label="h"\; filenames="HDA0000086388620000022.png,HDA0000086388620000031.png"\; state="\{\{state\}\}">h</figure-callout>}}_3\right|}^2+{\mathrm{\&sigma;}}_{{\mathrm{<figure-callout\; id="3"\; label="R"\; filenames="HDA0000086388620000022.png,HDA0000086388620000031.png"\; state="\{\{state\}\}">R</figure-callout>}}_3}^2)}}& \frac{g_4{h_4}^{*}}{\sqrt{({\left|h_4\right|}^2+{\mathrm{\&sigma;}}_{R_4}^2)}}\end{array}\right]\tilde{G}\left(x\right)+\mathrm{\&eta;}---\left(15\right)$

Equivalent channel transmission matrix H wherein _eFor:

$H_e=\left[\begin{array}{cc}\frac{g_1{h}_1}{\sqrt{({\left|{\mathrm{<figure-callout\; id="1"\; label="h"\; filenames="HDA0000086388620000012.png"\; state="\{\{state\}\}">h</figure-callout>}}_1\right|}^2+{\mathrm{\&sigma;}}_{{\mathrm{<figure-callout\; id="1"\; label="R"\; filenames="HDA0000086388620000012.png"\; state="\{\{state\}\}">R</figure-callout>}}_1}^2)}}& \frac{g_2{{\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="HDA0000086388620000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_2}^{*}}{\sqrt{({\left|{\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="HDA0000086388620000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_2\right|}^2+{\mathrm{\&sigma;}}_{{\mathrm{<figure-callout\; id="2"\; label="R"\; filenames="HDA0000086388620000022.png"\; state="\{\{state\}\}">R</figure-callout>}}_2}^2)}}\&CenterDot;\&CenterDot;\&CenterDot;\\ \&CenterDot;\&CenterDot;\&CenterDot;\frac{g_3{h}_3}{\sqrt{({\left|{\mathrm{<figure-callout\; id="3"\; label="h"\; filenames="HDA0000086388620000022.png,HDA0000086388620000031.png"\; state="\{\{state\}\}">h</figure-callout>}}_3\right|}^2+{\mathrm{\&sigma;}}_{{\mathrm{<figure-callout\; id="3"\; label="R"\; filenames="HDA0000086388620000022.png,HDA0000086388620000031.png"\; state="\{\{state\}\}">R</figure-callout>}}_3}^2)}}& \frac{g_4{h_4}^{*}}{\sqrt{({\left|h_4\right|}^2+{\mathrm{\&sigma;}}_{R_4}^2)}}\end{array}\right]---\left(16\right)$

If equivalent received signals is:

$({\left(H_e^I\right)}^T*Y^I)={\left[\begin{array}{cccccccc}{\left(y_1^R\right)}^I& {\left(y_1^I\right)}^I& {\left(y_2^R\right)}^I& {\left(y_2^I\right)}^I& y_3^R& y_3^I& y_4^R& y_4^I\end{array}\right]}^T,$ Then whole equivalent transmission equation is as follows:

$\left[\begin{array}{c}{\left(y_1^R\right)}^I\\ {\left(y_1^I\right)}^I\\ {\left(y_2^R\right)}^I\\ {\left(y_2^I\right)}^I\\ y_3^R\\ y_3^I\\ y_4^R\\ y_4^I\end{array}\right]=\left[\begin{array}{cccccccc}{a}^I& I^I& 0& 0& 0& 0& 0& 0\\ I^I& a^I& 0& 0& 0& 0& 0& 0\\ 0& 0& a^I& I^I& 0& 0& 0& 0\\ 0& 0& I^I& a^I& 0& 0& 0& 0\\ 0& 0& 0& 0& a^I& -I^I& 0& 0\\ 0& 0& 0& 0& -I^I& a^I& 0& 0\\ 0& 0& 0& 0& 0& 0& a^I& -I^I\\ 0& 0& 0& 0& 0& 0& -I^I& a^I\end{array}\right]\left[\begin{array}{c}{x}_1^R\\ x_1^I\\ x_2^R\\ x_2^I\\ x_3^R\\ x_3^I\\ x_4^R\\ x_4^I\end{array}\right]+\left[{\left(H_e^I\right)}^T{n}_{\mathrm{equ}}^I\right]---\left(17\right)$

a ^I, I ^IExpression is transmitted first the power gain of corresponding real number symbol and is disturbed at H respectively _cIn, the first two 2*2 submatrix is corresponding to the equivalent channel correlation matrix of data flow 1, and latter two 2*2 submatrix is corresponding to the equivalent channel correlation matrix of data flow 2.Because former and later two submatrixs are mutually orthogonal, decompose so formula (17) can be carried out linearity, obtain respectively the equivalent transmission equation of stream 1 and stream 2.For stream 1, it transmits first equivalent received signals and is $Y_{\mathrm{stream}1}^I={\left[\begin{array}{cccc}{y}_1^R& y_1^I& y_2^R& y_2^I\end{array}\right]}^T,$ Its equivalent transmission equation can be write as:

$\left[\begin{array}{c}{\left(y_1^R\right)}^I\\ {\left(y_1^I\right)}^I\\ {\left(y_2^R\right)}^I\\ {\left(y_2^I\right)}^I\end{array}\right]=\left[\begin{array}{cccc}{a}^I& I^I& 0& 0\\ I^I& a^I& 0& 0\\ 0& 0& a^I& I^I\\ 0& 0& I^I& a^I\end{array}\right]\left[\begin{array}{c}{x}_1^R\\ x_1^I\\ x_2^R\\ x_2^I\end{array}\right]+{\left[{\left(H_e^I\right)}^T{n}_{\mathrm{equ}}^I\right]}_{\mathrm{first}4\mathrm{rows}}---\left(18\right)$

Wherein, the equivalent channel correlation matrix of stream 1 is:

$H_{c,\mathrm{stream}1}^I=\left[\begin{array}{cccc}{a}^I& I^I& 0& 0\\ I^I& a^I& 0& 0\\ 0& 0& a^I& I^I\\ 0& 0& I^I& a^I\end{array}\right]---\left(19\right)$

For stream 2, its equivalent received signals is ${\mathrm{<figure-callout\; id="2"\; label="Y\; stream"\; filenames="HDA0000086388620000022.png"\; state="\{\{state\}\}">Y</figure-callout>}}_{\mathrm{stream}}={\left[\begin{array}{cccc}{y}_3^R& y_3^I& y_4^R& y_4^I\end{array}\right]}^T,$ Then its equivalent transmission equation can be write as:

$\left[\begin{array}{c}{y}_3^R\\ y_3^I\\ y_4^R\\ y_4^I\end{array}\right]=\left[\begin{array}{cccc}{a}^I& {-I}^I& 0& 0\\ -I^I& a^I& 0& 0\\ 0& 0& a^I& {-I}^I\\ 0& 0& -I^I& a^I\end{array}\right]\left[\begin{array}{c}{x}_3^R\\ x_3^I\\ x_4^R\\ x_4^I\end{array}\right]+{\left[{\left(H_e^I\right)}^T{n}_{\mathrm{equ}}^I\right]}_{\mathrm{last}4\mathrm{rows}}---\left(20\right)$

The DSTBC encoder matrix is decoded, be equivalent to formula (18) is detected.Orthogonality according to encoder matrix adopts different detection algorithms.When encoder matrix G is O-STBC, H _cBe diagonal matrix, adopt linear algorithm can detect each real number symbol; When encoder matrix G is QO-STBC, H _cBe Block diagonal matrix, orthogonal between the different sub-blocks, and also nonopiate between the real number symbol of each sub-block inside, detect so need to carry out ML for each sub-block.And for MDC-QO-STBC, its equivalent channel correlation matrix H _cBe Block diagonal matrix, each sub-block equal and opposite in direction is 2 * 2, corresponds respectively to real, the imaginary part of a complex symbol, and orthogonal between the different complex symbol.Like this, ML detects only to be needed to carry out for real, two real number symbols of imaginary part of every complex symbol, and therefore MDC-QO-STBC becomes the code word of decoding complexity minimum among the QO-STBC.

Here, adopt single complex symbol Maximum Likelihood Detection of minimum decoding complexity that MDC-QO-STBC is deciphered.

S304, when data receiver was deciphered the generation decoding error to the data that receive, receiving terminal sent repeat requests to the base station.

S305, after described base station receives described repeat requests, in the Space Time Coding set of matrices, retransmit Criterion of Selecting according to optimum and choose the optimum encoder matrix that retransmits, data retransmission, new biography data and optimum preconditioning matrix numbering are sent to each relaying, in the mode that distributes data retransmission and the new biography data loading that described base station sends entered optimum the re-transmission in the encoder matrix by each relaying, be forwarded to described data receiver.

Concrete, described base station is sent to each relaying with data and the described optimum optimum preconditioning matrix numbering corresponding with each relaying that retransmits the encoder matrix decision of the data that retransfer, new transmission, each relaying is chosen preconditioning matrix by optimum preconditioning matrix numbering the re-transmitted signal that receives is carried out linear process from the coefficient matrix set, described re-transmitted signal is comprised of data retransmission and new biography data described re-transmitted signal; Re-transmitted signal after described each relaying will be processed is sent to receiving terminal UE, and the re-transmitted signal after the processing that described each relaying sends consists of distributed space time block coding DSTBC matrix.

Specifically, retransmitting when occuring, data and the new data of transmitting that the base station just needs to retransfer are written in the same encoder matrix.At this moment, eNB becomes in the transmitted signal of retransmission frame: x=[x ₁, x ₂, x ₅, x ₆] ^T, wherein, x _Stream1=[x ₁, x ₂] ^TBe the data retransmission of data flow 1, and x ' _Stream2=[x ₅, x ₆] ^TThen be that data flow 2 is at the new data of present frame in the time.

Encoder matrix when transmitting first is determined, and during re-transmission, eNB then in the candidate collection of a series of encoder matrixs, carries out self adaptation by Criterion of Selecting to DSTBC and chooses.

Preferably, described Space Time Coding set of matrices obtains by following steps:

According to the quantity of relaying, choose the minimum decoding complexity space-time block code MDC-QO-STBC encoder matrix of quantity that a line number equals described relaying as the basic coding matrix, the capable order of described basic coding matrix is carried out conversion, obtain the encoder matrix set.

Preferably, described Space Time Coding set of matrices has the set of the encoder matrix composition of disturbance item absolute value for the capable order of described basic coding matrix is carried out in the Space Time Coding matrix that conversion obtains.

Preferably, the described optimum Criterion of Selecting that retransmits is specially:

From the Space Time Coding set of matrices, the encoder matrix of choosing the absolute value minimum of distracter sum corresponding to encoder matrix when satisfying distracter corresponding to described encoder matrix and transmitting first retransmits encoder matrix as optimum.

The below describes in detail to acquisition methods and the optimum Criterion of Selecting that retransmits of encoder matrix set.

Be 4 cooperative system for the relaying number, at first choosing a line number and be 4 MDC-QO-STBC encoder matrix is the basic coding matrix, with

Matrix is example, if { the E that its n is capable _n, F _n(the coefficient matrix group of the row of m ≠ n) can realize as m

In n, the exchange that m is capable.Like this, if at set { { E _n, F _n, n=1, optional element is as R among 2,3, the 4} _kPreconditioning matrix group { U _k, V _K, and and do not require the numbering of choosing element only for k, R _kTransmitted signal can present 4 kinds of forms, respectively corresponding

Every delegation in the matrix.Thereby, be that 4 Relay exist Coefficient matrix group set { { E _n, F _n, n=1 chooses respectively the preconditioning matrix group among 2,3, the 4}, total

Plant possibility, construct the DSTBC encoder matrix with the numbering of Relay as line number, mean existence

Kind MDC-QO-STBC code word can be used as the candidate code matrix of DSTBC, comprises

Matrix and the code word that its row order conversion is obtained.

This

Plant encoder matrix, equivalent channel correlation matrix H _cForm is identical, is 8 * 8 diagonal angle real number matrix, and H _cThe power gain part of middle signal is all identical, and for the distracter absolute value, the H of per 4 kinds of code words _cMiddle distracter absolute value is identical, thereby co-exists in 6 kinds of different distracter absolute value expression formulas, and this expression formula is relevant with instantaneous channel fading characteristic.This moment DSTBC the candidate code matrix from

Plant and be reduced to 6 kinds, the code word reservation that only will have disturbance item absolute value expression formula gets final product.

Table 1 provides with 6 kinds of capable order mapping modes that the candidate code matrix is corresponding, is called " candidate row order ", and the four lines that four numerical value under every kind of mode characterize DSTBC successively exists Line number in the matrix.For example mode is 2. lower, and the 1st, 2 row of candidate code matrix is respectively matrix

The 1st, 2 row, and the 3rd, 4 row then is respectively

The 4th, 3 row.

Table 14 cooperative relayings-candidate row sequence table

Mode	①	②	③	④	⑤	⑥
							The row order	1 2 3 4	1 2 4 3	1 3 2 4	2 1 3 4	2 1 4 3	3 1 4 2

For 6 kinds of candidate row orders, respectively corresponding 6 kinds of equivalent channel transmission matrix H _{E, m}(m=1,2 ... 6),, have 2. as example in mode:

$H_{e,2}=\left[\begin{array}{cc}\frac{g_1{h}_1}{\sqrt{({\left|{\mathrm{<figure-callout\; id="1"\; label="h"\; filenames="HDA0000086388620000012.png"\; state="\{\{state\}\}">h</figure-callout>}}_1\right|}^2+{\mathrm{\&sigma;}}_{{\mathrm{<figure-callout\; id="1"\; label="R"\; filenames="HDA0000086388620000012.png"\; state="\{\{state\}\}">R</figure-callout>}}_1}^2)}}& \frac{g_2{{\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="HDA0000086388620000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_2}^{*}}{\sqrt{({\left|{\mathrm{<figure-callout\; id="2"\; label="h"\; filenames="HDA0000086388620000022.png"\; state="\{\{state\}\}">h</figure-callout>}}_2\right|}^2+{\mathrm{\&sigma;}}_{{\mathrm{<figure-callout\; id="2"\; label="R"\; filenames="HDA0000086388620000022.png"\; state="\{\{state\}\}">R</figure-callout>}}_2}^2)}}\&CenterDot;\&CenterDot;\&CenterDot;\\ \&CenterDot;\&CenterDot;\&CenterDot;\frac{g_4{h}_4}{\sqrt{({\left|h_4\right|}^2+{\mathrm{\&sigma;}}_{R_4}^2)}}& \frac{g_3{{\mathrm{<figure-callout\; id="3"\; label="h"\; filenames="HDA0000086388620000022.png,HDA0000086388620000031.png"\; state="\{\{state\}\}">h</figure-callout>}}_3}^{*}}{\sqrt{({\left|{\mathrm{<figure-callout\; id="3"\; label="h"\; filenames="HDA0000086388620000022.png,HDA0000086388620000031.png"\; state="\{\{state\}\}">h</figure-callout>}}_3\right|}^2+{\mathrm{\&sigma;}}_{{\mathrm{<figure-callout\; id="3"\; label="R"\; filenames="HDA0000086388620000022.png,HDA0000086388620000031.png"\; state="\{\{state\}\}">R</figure-callout>}}_3}^2)}}\end{array}\right]---\left(21\right)$

With H _{E, m}(m=1,2 ... 6) respectively conduct

Be updated to

In, can obtain with 6 kinds of distracter absolute value expression formula I that the candidate code matrix is corresponding _m(m=1,2 ... 6).The same h of distracter order of magnitude, g is relevant, so can be with the distracter absolute value | I| is as the benchmark of these codeword performance of assessment.

Because when transmitting first, the transmission row order of each Relay numbering is determined, is made as index _I, corresponding distracter is made as | I ^I|, then when retransmitting, eNB carries out the self adaptation of optimum DSTBC matrix and chooses, if the capable order of choosing is numbered index _II, then corresponding distracter is made as | I ^II|.

At given instantaneous characteristic of channel h, under the g, the absolute value expression formula of the distracter sum that 6 kinds of candidate code matrixes of comparison are corresponding | I ^I+ (I ^II) _m| (m=1,2 ... 6), thus select | I ^I+ (I ^II) _m| the code word of value minimum is as the optimum code matrix that retransmits DSTBC, and the order of going accordingly is transformed to optimum row order, thereby obtains numbering index _II

Optimum row order numbering index _IISent with the signaling form to each Relay when retransmitting by eNB, each Relay so that

Coefficient matrix group set { { E _n, F _n, n=1 chooses respectively the preconditioning matrix group among 2,3, the 4}, and like this, the DSTBC encoder matrix of distracter sum absolute value minimum structure is complete.Because this moment | I ^I+ I ^II| value is enough little, it can be ignored, thereby adopt linear decoding can realize the performance of single complex symbol ML decoding, and decoding complexity is obviously reduced.

S306 after described receiving terminal receives the retransmission frame data, deciphers and obtains data and the new data of transmitting that retransfer.

Preferably, the described data that retransfer that described receiving terminal will obtain are carried out symbol level with the corresponding first data of transmission and are merged, and adopt the linearity test algorithm, obtain the data that retransfer.

After the re-transmission, receiver place equivalent received signals is

Wherein front 4 row are made as corresponding to the reception signal of stream 1

Rear 4 row are made as Y ' corresponding to stream 2 _Stream2Whole equivalent transmission equation is as follows:

$\left[\begin{array}{c}{\left(y_1^R\right)}^{\mathrm{II}}\\ {\left(y_1^I\right)}^{\mathrm{II}}\\ {\left(y_2^R\right)}^{\mathrm{II}}\\ {\left(y_2^I\right)}^{\mathrm{II}}\\ y_5^R\\ y_5^I\\ y_6^R\\ y_6^I\end{array}\right]=\left[\begin{array}{cccccccc}{a}^{\mathrm{II}}& I^{\mathrm{II}}& 0& 0& 0& 0& 0& 0\\ I^{\mathrm{II}}& a^{\mathrm{II}}& 0& 0& 0& 0& 0& 0\\ 0& 0& a^{\mathrm{II}}& I^{\mathrm{II}}& 0& 0& 0& 0\\ 0& 0& I^{\mathrm{II}}& a^{\mathrm{II}}& 0& 0& 0& 0\\ 0& 0& 0& 0& a^{\mathrm{II}}& -I^{\mathrm{II}}& 0& 0\\ 0& 0& 0& 0& -I^{\mathrm{II}}& a^{\mathrm{II}}& 0& 0\\ 0& 0& 0& 0& 0& 0& a^{\mathrm{II}}& -I^{\mathrm{II}}\\ 0& 0& 0& 0& 0& 0& -I^{\mathrm{II}}& a^{\mathrm{II}}\end{array}\right]\left[\begin{array}{c}{x}_1^R\\ x_1^I\\ x_2^R\\ x_2^I\\ x_5^R\\ x_5^I\\ x_6^R\\ x_6^I\end{array}\right]+\left[{\left(H_e^{\mathrm{II}}\right)}^T{n}_{\mathrm{equ}}^{\mathrm{II}}\right]---\left(22\right)$

For the re-transmitted signal of stream 1 and the new biography signal of stream 2, receiving terminal carries out differentiating and processing.

Convection current 1 is with the reception signal of twice transmission

With Carrying out symbol level merges.Here be re-transmitted signal to be carried out symbol level with the corresponding first data of transmission merge, the described first data of transmission have been saved lower, concrete when transmitting first, a data memory cell can be set be used for preserving the first data of transmission.

$Y_{\mathrm{stream}1}^I+{\mathrm{<figure-callout\; id="1"\; label="Y\; stream"\; filenames="HDA0000086388620000012.png"\; state="\{\{state\}\}">Y</figure-callout>}}_{\mathrm{stream}}^1$

$=(H_{c,\mathrm{stream}1}^I+H_{c,\mathrm{<figure-callout\; id="1"\; label="stream"\; filenames="HDA0000086388620000012.png"\; state="\{\{state\}\}">stream</figure-callout>}1}^{\mathrm{II}})x_{\mathrm{<figure-callout\; id="1"\; label="stream"\; filenames="HDA0000086388620000012.png"\; state="\{\{state\}\}">stream</figure-callout>}1}+{[{\left(H_e^I\right)}^T{n}_{\mathrm{equ}}^I+{\left(H_e^{\mathrm{II}}\right)}^T{n}_{\mathrm{equ}}^{\mathrm{II}}]}_{\mathrm{first}4\mathrm{rows}}---\left(23\right)$

That is:

$\left[\begin{array}{c}{\left(y_1^R\right)}^I+{\left(y_1^R\right)}^{\mathrm{II}}\\ {\left(y_1^I\right)}^I+{\left(y_1^I\right)}^{\mathrm{II}}\\ {\left(y_2^R\right)}^I+{\left(y_2^R\right)}^{\mathrm{II}}\\ {\left(y_2^I\right)}^I+{\left(y_2^I\right)}^{\mathrm{II}}\end{array}\right]=\left[\begin{array}{cccc}{a}^I+a^{\mathrm{II}}& I^I+I^{\mathrm{II}}& 0& 0\\ I^I+I^{\mathrm{II}}& a^I+a^{\mathrm{II}}& 0& 0\\ 0& 0& a^I+a^{\mathrm{II}}& I^I+I^{\mathrm{II}}\\ 0& 0& I^I+I^{\mathrm{II}}& a^I+a^{\mathrm{II}}\end{array}\right]\left[\begin{array}{c}{x}_1^R\\ x_1^I\\ x_2^R\\ x_2^I\end{array}\right]+{[{\left(H_e^I\right)}^T{n}_{\mathrm{equ}}^I+{\left(H_e^{\mathrm{II}}\right)}^T{n}_{\mathrm{equ}}^{\mathrm{II}}]}_{\mathrm{first}4\mathrm{rows}}---\left(24\right)$

Equivalent channel correlation matrix after then merging becomes:

$H_{c,\mathrm{stream}1}^{I+\mathrm{II}}=\left[\begin{array}{cccc}{a}^I+a^{\mathrm{II}}& I^I+I^{\mathrm{II}}& 0& 0\\ I^I+I^{\mathrm{II}}& a^I+a^{\mathrm{II}}& 0& 0\\ 0& 0& a^I+a^{\mathrm{II}}& I^I+I^{\mathrm{II}}\\ 0& 0& I^I+I^{\mathrm{II}}& a^I+a^{\mathrm{II}}\end{array}\right]---\left(25\right)$

At given instantaneous characteristic of channel h, under the g, the absolute value expression formula of the distracter sum that 6 kinds of candidate code matrixes of comparison are corresponding | I ^I+ (I ^II) _m| (m=1,2 ... 6), thus select | I ^I+ (I ^II) _m| the code word of value minimum is as the optimum code matrix that retransmits DSTBC, and the order of going accordingly is transformed to optimum row order, thereby obtains numbering index _II

Optimum row order numbering index _IISent with the signaling form to each Relay when retransmitting by eNB, each Relay so that

Coefficient matrix group set { { E _n, F _n, n=1 chooses respectively the preconditioning matrix group among 2,3, the 4}, and like this, the DSTBC encoder matrix of distracter sum absolute value minimum structure is complete.Because this moment | I ^I+ I ^II| value is enough little, it can be ignored, thereby adopt linear decoding can realize the performance of single complex symbol ML decoding, and decoding complexity is obviously reduced.

And for stream 2, namely the data of new transmission then do not relate to merging, adopt single complex symbol maximum likelihood algorithm to decipher and get final product, and still get final product according to following equivalent transmission equation decoding:

$\left[\begin{array}{c}{y}_5^R\\ y_5^I\\ y_6^R\\ y_6^I\end{array}\right]=\left[\begin{array}{cccc}{a}^{\mathrm{II}}& {-I}^{\mathrm{II}}& 0& 0\\ -I^{\mathrm{II}}& a^{\mathrm{II}}& 0& 0\\ 0& 0& a^{\mathrm{II}}& {-I}^{\mathrm{II}}\\ 0& 0& -I^{\mathrm{II}}& a^{\mathrm{II}}\end{array}\right]\left[\begin{array}{c}{x}_5^R\\ x_5^I\\ x_6^R\\ x_6^I\end{array}\right]+{\left[{\left(H_e^{\mathrm{II}}\right)}^T{n}_{\mathrm{equ}}^{\mathrm{II}}\right]}_{\mathrm{last}4\mathrm{rows}}---\left(26\right)$

When channel conversion is slow, can think that twice retransfer channel coefficient is constant, can find, according to | I ^I+ I ^II| minimum criteria, the distracter that the retransmission frame optimum code matrix that search obtains is corresponding just is the opposite number that transmits first distracter, i.e. I ^II=-I ^I, then flow 1 merging equivalent channel correlation matrix and be:

$H_{c,\mathrm{stream}1}^{I+\mathrm{II}}=\left[\begin{array}{cccc}{a}^I+a^{\mathrm{II}}& 0& 0& 0\\ 0& a^I+a^{\mathrm{II}}& 0& 0\\ 0& 0& a^I+a^{\mathrm{II}}& 0\\ 0& 0& 0& a^I+a^{\mathrm{II}}\end{array}\right]---\left(27\right)$

Thereby realized real, the complete quadrature of imaginary part of same complex symbol inside, reduced decoding complexity.

The embodiment of the present application also discloses a kind of adaptive retransmission device of data.

Referring to Fig. 4, the data adaptive retransmission arrangement schematic diagram that provides for the application.In Fig. 4, expressed the adaptive retransmission device schematic diagram with a plurality of relayings.

Described device comprises:

Data receiver 1 is used for sending repeat requests to the base station when the data that receive being deciphered the generation decoding error;

Base station 3 after being used for receiving described repeat requests, retransmits Criterion of Selecting according to optimum and chooses the optimum encoder matrix that retransmits in the Space Time Coding set of matrices, data retransmission, new biography data and optimum preconditioning matrix numbering are sent to relaying.

Relaying 2 is used for and will data retransmission and the new biography data loading that the base station sends be entered optimum re-transmission encoder matrix in the mode that distributes, and is forwarded to described data receiver.

Referring to Fig. 5, be the embodiment of the present application base station schematic diagram.

The application also provides a kind of base station.

Described base station comprises:

Repeat requests acquisition module 31 is used for obtaining the repeat requests that data receiver sends to described base station;

Data retransmission sending module 32, after being used for receiving described repeat requests, in the Space Time Coding set of matrices, retransmit Criterion of Selecting according to optimum and choose the optimum encoder matrix that retransmits, data retransmission, new biography data and optimum preconditioning matrix numbering are sent to each relaying.

Preferably, described base station further comprises:

Encoder matrix set acquisition module, be used for the quantity according to relaying, choose the MDC-QO-STBC encoder matrix of quantity that a line number equals described relaying as the basic coding matrix, the capable order of described basic coding matrix is carried out conversion, obtain the Space Time Coding set of matrices.

Preferably, described base station further comprises:

The first pretreatment module is used for transmitted signal is first carried out preliminary treatment, obtains the transmitted signal of reality, imaginary part restructuring, sends pretreated signal to each relaying.

Preferably, described the first pretreatment module is specially:

Described the first pretreatment module be used for real, the imaginary component of described transmitted signal from and arranged sequentially, multiply by a preconditioning matrix, obtain the transmitted signal of reality, imaginary part restructuring, the numbering of described transmitted signal and optimum preconditioning matrix is sent to each relaying with the signaling form; The numbering of described preconditioning matrix is identical with the numbering of described relaying.

The embodiment of the present application also discloses a kind of relaying, and described relaying comprises:

Forwarding module, be used for receiving data retransmission, new biography data and the optimum preconditioning matrix numbering that the base station sends, and in the mode that distributes data retransmission and the new biography data loading that described base station sends entered the optimum encoder matrix that retransmits, be forwarded to described data receiver.

Preferably, described relaying further comprises:

The first linear processing module is used for receiving from the base station first transmitted signal, and chooses the preconditioning matrix corresponding with the relaying numbering according to the preconditioning matrix numbering from the preconditioning matrix group and carry out to the received signal linear process.

Preferably, described relaying comprises:

The second linear process module is used for choosing preconditioning matrix corresponding to optimum preconditioning matrix numbering that sends with the base station from the coefficient matrix set, and the re-transmitted signal that receives is carried out linear process.

The embodiment of the present application also discloses a kind of data receiver UE, and described data receiver UE comprises:

The repeat requests module is used for sending repeat requests to the base station when the data that receive being deciphered the generation decoding error.

Preferably, described receiving terminal UE further comprises:

Symbol level merges module, and the data retransmission that is used for obtaining carries out symbol level with the corresponding first data of transmission and merges.

The linearity test module is used for the data retransmission that carries out after symbol level merges is adopted the linearity test algorithm, obtains the data that retransfer.

The Maximum Likelihood Detection module is used for the single complex symbol Maximum Likelihood Detection of the new biography the data that receives is obtained the new biography data.

The application can describe in the general context of the computer executable instructions of being carried out by computer, for example program module.Usually, program module comprises the routine carrying out particular task or realize particular abstract data type, program, object, assembly, data structure etc.Also can in distributed computing environment (DCE), put into practice the application, in these distributed computing environment (DCE), be executed the task by the teleprocessing equipment that is connected by communication network.In distributed computing environment (DCE), program module can be arranged in the local and remote computer-readable storage medium that comprises memory device.

The above only is the application's embodiment; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the application's principle; can also make some improvements and modifications, these improvements and modifications also should be considered as the application's protection range.

Claims (20)

1. the adaptive retransmit method of data is characterized in that, described method comprises:

Data receiver is deciphered the data that receive, if decoding error occurs, described data receiver sends repeat requests to the base station;

After described base station receives described repeat requests, in the Space Time Coding set of matrices, retransmit Criterion of Selecting according to optimum and choose the optimum encoder matrix that retransmits, data retransmission, new biography data and optimum preconditioning matrix numbering are sent to each relaying, in the mode that distributes data retransmission and the new biography data loading that described base station sends entered optimum the re-transmission in the encoder matrix by each relaying, be forwarded to described data receiver.

2. method according to claim 1 is characterized in that, described Space Time Coding set of matrices obtains by following steps:

According to the quantity of relaying, choose a line number and equal the minimum decoding complexity space-time block code MDC-QO-STBC matrix of quantity of described relaying as the basic coding matrix;

Capable order to described basic coding matrix is carried out conversion, obtains the Space Time Coding set of matrices.

3. method according to claim 2 is characterized in that, described Space Time Coding set of matrices is:

The capable order of described basic coding matrix is carried out in the Space Time Coding matrix that conversion obtains, have the set that the Space Time Coding matrix of disturbance item absolute value forms.

4. method according to claim 1 is characterized in that, the described optimum Criterion of Selecting that retransmits is specially:

From described Space Time Coding set of matrices, the encoder matrix of choosing the absolute value minimum of distracter sum corresponding to encoder matrix when satisfying distracter corresponding to described encoder matrix and transmitting first retransmits encoder matrix as optimum.

5. method according to claim 1 is characterized in that, describedly in the mode that distributes data retransmission and the new biography data loading that described base station sends is entered optimum the re-transmission in the encoder matrix by each relaying, is forwarded to described data receiver and specifically comprises:

Each relaying is chosen preconditioning matrix by optimum preconditioning matrix numbering and the re-transmitted signal that receives is carried out linear process, the re-transmitted signal after obtaining processing from the coefficient matrix set; Described re-transmitted signal is comprised of data retransmission and new biography data;

The re-transmitted signal of each relaying after with described processing is loaded into the optimum encoder matrix that retransmits and is sent to data receiver, and the re-transmitted signal after the described processing that described each relaying sends consists of distributed space time block coding DSTBC matrix.

6. method according to claim 5, it is characterized in that, data retransmission and new biography data that described each relaying is sent out the base station in the mode that distributes are loaded into optimum re-transmission encoder matrix simultaneously, and are forwarded to after the described data receiver, and described method further comprises:

After described data receiver receives re-transmitted signal, decipher and obtain described data retransmission and new biography data.

7. method according to claim 6 is characterized in that, after described data receiver receives re-transmitted signal, deciphers and obtains described data retransmission and the new biography data specifically comprise:

The described data retransmission that described data receiver will receive carries out symbol level with the corresponding first data of transmission and merges, and adopts the linearity test algorithm, obtains the data that retransfer;

Described data receiver obtains described new biography data to the single complex symbol maximum likelihood algorithm of the new biography the data that receives.

8. method according to claim 1 is characterized in that, the data communication device that described data receiver receives is crossed following steps and obtained:

Preliminary treatment is carried out to transmitted signal first in described base station, sends pretreated signal to each relaying;

Described each relaying carries out respectively linear process to the received signal, each relaying signal after the described data receiver transmission processing simultaneously then, and the signal after the described processing consists of distributed space time block coding DSTBC matrix.

9. require 8 described methods according to claim, it is characterized in that, described transmitted signal is to map to standard planisphere gained after the decoding of information bit channel.

10. method according to claim 9 is characterized in that, preliminary treatment is carried out to transmitted signal first in described base station, sends pretreated signal to each relaying and specifically comprises:

Described base station with real, the imaginary component of described transmitted signal from and arranged sequentially;

Multiply by a preconditioning matrix, obtain the transmitted signal of reality, imaginary part restructuring, the numbering of described transmitted signal and preconditioning matrix is sent to each relaying with the signaling form; The numbering of described preconditioning matrix is identical with the numbering of described relaying;

Described each relaying carries out to the received signal respectively linear process and specifically comprises:

The described transmitted signal of described relay reception, and from the preconditioning matrix group, choose the preconditioning matrix corresponding with the relaying numbering according to the numbering of described preconditioning matrix and carry out to the received signal linear process.

11. a base station is characterized in that, described base station comprises:

The repeat requests acquisition module is used for obtaining the repeat requests that data receiver sends to described base station;

The data retransmission sending module is used for retransmitting Criterion of Selecting at the Space Time Coding set of matrices according to optimum and chooses the optimum encoder matrix that retransmits, and data retransmission, new biography data and optimum preconditioning matrix is edited and released delivered to each relaying.

12. base station according to claim 11 is characterized in that, described base station further comprises:

Encoder matrix set acquisition module, be used for the quantity according to relaying, choose the MDC-QO-STBC encoder matrix of quantity that a line number equals described relaying as the basic coding matrix, the capable order of described basic coding matrix is carried out conversion, obtain the Space Time Coding set of matrices.

13. base station according to claim 11 is characterized in that, described base station further comprises:

The first pretreatment module is used for transmitted signal is first carried out preliminary treatment, obtains the transmitted signal of reality, imaginary part restructuring, and sends pretreated signal to each relaying.

14. base station according to claim 13 is characterized in that, described the first pretreatment module is specially:

Described the first pretreatment module be used for real, the imaginary component of described transmitted signal from and arranged sequentially, multiply by a preconditioning matrix, obtain the transmitted signal of reality, imaginary part restructuring, the numbering of described transmitted signal and preconditioning matrix is sent to each relaying with the signaling form; The numbering of described preconditioning matrix is identical with the numbering of described relaying.

15. a relaying is characterized in that, described relaying comprises:

Forwarding module, be used for receiving data retransmission, new biography data and the optimum preconditioning matrix numbering that the base station sends, and in the mode that distributes data retransmission and the new biography data loading that described base station sends entered the optimum encoder matrix that retransmits, be forwarded to described data receiver.

16. relaying according to claim 15 is characterized in that, described relaying also comprises:

The first linear processing module is used for receiving from the base station first transmitted signal, and chooses the preconditioning matrix corresponding with the relaying numbering according to the preconditioning matrix numbering from the preconditioning matrix group and carry out to the received signal linear process.

17. relaying according to claim 15 is characterized in that, described relaying comprises:

The second linear process module is used for choosing preconditioning matrix from the coefficient matrix set by optimum pre-coding matrix numbering the re-transmitted signal that receives is carried out linear process.

18. a data receiver UE is characterized in that, described receiving terminal UE comprises:

The repeat requests module is used for sending repeat requests to the base station when the data that receive being deciphered the generation decoding error.

19. receiving terminal UE according to claim 18 is characterized in that, described receiving terminal UE further comprises:

Symbol level merges module, and the data retransmission that is used for receiving carries out symbol level with the corresponding first data of transmission and merges;

The linearity test module is used for the data retransmission that carries out after symbol level merges is adopted the linearity test algorithm, obtains the data that retransfer;

The Maximum Likelihood Detection module is used for the single complex symbol Maximum Likelihood Detection of the new biography the data that receives is obtained the new biography data.

20. the adaptive retransmission device of data, described device comprises:

Data receiver is used for sending repeat requests to the base station when the data that receive being deciphered the generation decoding error;

The base station after being used for receiving described repeat requests, retransmits Criterion of Selecting according to optimum and chooses the optimum encoder matrix that retransmits in the Space Time Coding set of matrices, data retransmission, new biography data and optimum preconditioning matrix numbering are sent to relaying;

Relaying is used for and will data retransmission and the new biography data loading that the base station sends be entered the optimum encoder matrix that retransmits in the mode that distributes, and is forwarded to described data receiver.

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