CN102237910A - Method and device for determining data transmitting mode - Google Patents

Abstract

The invention discloses a method and device for determining a data transmitting mode, belonging to the field of wireless communication. The method comprises the following steps of: in a judgment period, counting the weight information of a current receiving end by using a transmitting end; determining a data transmitting mode which is suitable for the current receiving end from a multiple input multiple output beam-forming (MIMO+BF) mode and a multiple input multiple output cyclic delay diversity (MIMO+CDD) mode according to the counted weight information; and transmitting data to the current receiving end by using the transmitting end with the determined data transmitting mode. Due to the adoption of the method and the device, the problem that the data transmitting mode cannot be regulated appropriately according to the practical situation is solved, and the effects of improving the link stability and increasing the system throughput are further achieved.

Description

Definite method and apparatus of data transmission modes

Technical field

The present invention relates to wireless communication field, in particular to a kind of definite method and apparatus of data transmission modes.

Background technology

(Multiple Input Multiple Output MIMO) is the communication system of settling many antennas respectively at transmitting terminal and receiving terminal to multiple-input and multiple-output.As shown in Figure 1, the N root physical antenna of the M root physical antenna of transmitting terminal and receiving terminal constitutes a mimo system.

(Beamforming BF) is based on the adaptive antenna principle to wave beam forming, utilizes aerial array to pass through advanced signal processing algorithm respectively to a kind of technology of each physical antenna weighted.As shown in Figure 2, after the signal channel encoding process that information source sends, the data flow that obtains sends after multiply by weights on the corresponding physical antenna, and all physical antennas are equivalent to a virtual-antenna.MIMO and wave beam forming combine when using, be MIMO wave beam forming (Multiple Input Multiple Output Beamforming, MIMO+BF), the transmitting terminal schematic diagram of a kind of MIMO+BF as shown in Figure 3, the antenna of transmitting terminal is divided into M subarray, each subarray is done wave beam forming, forms a virtual-antenna, constitutes the MIMO structure between many virtual-antennas.

Cyclic delay diversity (Cyclic Delay Diversity, CDD) be OFDM (Orthogonal Frequency Division Multiplexing, OFDM) a kind of many antenna transmission diversity scheme of using always in the technology, it sends identical frequency domain data and the OFDM symbol of time domain is carried out different circulation delays on each physical antenna, obtain the frequency diversity gain with this.The schematic diagram of CDD transmitting terminal as shown in Figure 4, information source through chnnel coding, modulation after, (Inverse Fast Fourier Transform IFFT) becomes time domain data, and with the circulation delay δ of corresponding physical antenna through inverse Fourier transform _iAfter carrying out corresponding circulation delay, (Cyclic Prefix CP) sends to add Cyclic Prefix.Tx is a transmitting terminal physical antenna number, δ ₁Be generally 0, so not shown in the diagram.The entire antenna group is equivalent to a virtual-antenna.MIMO and cyclic delay diversity combination, cry the MIMO cyclic delay diversity (Multiple Input Multiple Output Cyclic Delay Diversity, MIMO+CDD).A kind of MIMO+CDD transmitting terminal schematic diagram as shown in Figure 5, the antenna of transmitting terminal is divided into M subarray, and each subarray is CDD, forms a virtual-antenna, and constitutes the MIMO structure between virtual-antenna.Because general mimo system can be regarded the special circumstances that each subarray in the MIMO+CDD system has only an antenna and signal do not carried out circulation delay as among above-mentioned Fig. 1, character is also more similar, so also structure unification shown in Figure 1 is expressed as MIMO+CDD usually.

These two kinds of technology of MIMO+BF and MIMO+CDD can both improve the performance of wireless telecommunication system and increase the coverage of system.Both main distinctions are that MIMO+BF need do wave beam forming with weights.Weights obtain the influence that can be subjected to up channel or receiving terminal feedback delay.So the performance of MIMO+BF can be subjected to the accuracy that weights obtain and the influence of promptness.Occur not having channel information to estimate weights and cause weights inaccurate for a long time sometimes, cause decreased performance.In the time of also might the receiving terminal fast moving, the weights that current time estimates occur and be not suitable for constantly next.And MIMO+CDD is not subjected to the influence of up channel or receiving terminal feedback.In general, under the situation that can choose suitable weights, the performance of MIMO+BF is better than the performance of MIMO+CDD.But when weights were inaccurate or untimely, the performance of MIMO+BF may not have the performance of MIMO+CDD good.And can not adjust the sending mode of data in the prior art in good time, thereby can not increase the stability of system to greatest extent and improve throughput according to actual conditions.

Summary of the invention

Main purpose of the present invention is to provide a kind of definite method and apparatus of data transmission modes, to address the above problem at least.

According to an aspect of the present invention, a kind of definite method of data transmission modes is provided, comprise: in the judgement cycle, transmitting terminal is added up the weights information of current receiving terminal, determines to be suitable for the data transmission modes of current receiving terminal from multiple-input and multiple-output wave beam forming MIMO+BF pattern and multiple-input and multiple-output cyclic delay diversity MIMO+CDD pattern according to the weights information of statistics; And transmitting terminal uses the established data sending mode to send data to current receiving terminal.

According to a further aspect in the invention, provide a kind of definite device of data transmission modes, having comprised: statistical module, be used in the judgement cycle, add up the weights information of current receiving terminal; Determination module is used for determining to be suitable for from multiple-input and multiple-output wave beam forming MIMO+BF pattern and multiple-input and multiple-output cyclic delay diversity MIMO+CDD pattern according to the weights information of statistical module counts the data transmission modes of current receiving terminal; And sending module, be used to use determination module established data sending mode to send data to current receiving terminal.

By the present invention, according to receiving terminal weights information specified data sending mode is that MIMO wave beam forming and MIMO cyclic delay diversity are to adapt to the channel circumstance of continuous variation, solved and to have adjusted the problem of the sending mode of data according to actual conditions in good time, and then reached stability that has increased link and the effect that has improved the throughput of system.

Description of drawings

Accompanying drawing described herein is used to provide further understanding of the present invention, constitutes the application's a part, and illustrative examples of the present invention and explanation thereof are used to explain the present invention, do not constitute improper qualification of the present invention.In the accompanying drawings:

Fig. 1 is the MIMO transmitting terminal schematic diagram according to correlation technique;

Fig. 2 is the BF transmitting terminal schematic diagram according to correlation technique;

Fig. 3 is the MIMO+BF transmitting terminal schematic diagram according to correlation technique;

Fig. 4 is the CDD transmitting terminal schematic diagram according to correlation technique;

Fig. 5 is the MIMO+CDD transmitting terminal schematic diagram according to correlation technique;

Fig. 6 shows the definite method flow diagram according to the data transmission modes of embodiment one;

Fig. 7 shows the definite method flow diagram according to the data transmission modes of embodiment two;

Fig. 8 shows the definite method flow diagram according to the data transmission modes of embodiment three; And

Fig. 9 shows the definite apparatus structure block diagram according to the data transmission modes of embodiment four.

Embodiment

Hereinafter will describe the present invention with reference to the accompanying drawings and in conjunction with the embodiments in detail.Need to prove that under the situation of not conflicting, embodiment and the feature among the embodiment among the application can make up mutually.

Wireless communication system comprises transmitting terminal and receiving terminal, and the transmitting terminal in the embodiment of the invention is the equipment that is used to send data or information, such as macro base station, and little base station etc.; Receiving terminal is each Terminal Type that is used to receive data or information, as travelling carriage, handheld device or data card etc.Introducing each embodiment of the present invention below is that the basis is implemented with this wireless communication system all.

Embodiment one

Fig. 6 shows the definite method flow diagram according to the data transmission modes of the embodiment of the invention, and this method may further comprise the steps:

Step S602, in the judgement cycle, transmitting terminal is added up the weights information of current receiving terminal;

Wherein, the judgement cycle of present embodiment is the T frame;

Above-mentioned weights information can be specially the weights correlation, also can be specially the weights distance, and its statistic processes is as follows respectively:

1) be the situation of weights correlation for weights information, its statistic processes is:

Steps A, the previous weights correlation of initialization R _Pre=α, wherein, α is the constant greater than 0; Obtain first weights W in the judgement cycle ₁Ns=0;

Step B according to the time sequencing of frame, obtains second weights W in present frame ₂Calculate the current weight correlation R of this current receiving terminal _Cur=|| W ₁ ^H* W ₂||, H is the conjugate transpose of matrix, || W ₁ ^H* W ₂|| representing matrix W ₁ ^H* W ₂Norm; Upgrading this previous weights correlation is R _Pre=ρ R _Pre+ (1-ρ) R _Cur, ρ is constant and 0≤ρ≤1, with above-mentioned second weights W ₂Value compose to W ₁If R _Pre〉=T _r, Ns adds 1 with statistic, T _rIt is first threshold value;

Repeat above-mentioned steps B, until above-mentioned judgement end cycle or Ns 〉=Num, Num is second threshold value;

2) be the situation of weights distance for weights information, its statistic processes is:

Steps A ', the previous weights distance D of initialization _Pre=α, wherein, α is the constant greater than 0; In first frame, calculate first weights W according to channel coefficient matrix ₁Ns=0;

Step B ' according to the time sequencing of frame, obtains second weights W in present frame ₂Calculate the current weight distance D of this current receiving terminal _Cur=d (W ₁, W ₂), wherein, d (W ₁, W ₂) be one of following formula:

d(W ₁，W ₂)＝λ _max(W ₁W ₁ ^H-W ₂W ₂ ^H)，

$d(W_1,W_2)={\mathrm{\Σ}}_{k=1}^{\mathrm{Tx}}{\mathrm{\Σ}}_{h=1}^M{|w_{k,h}^{\left(1\right)}-w_{k,h}^{\left(2\right)}|}^p,$

$d(W_1,W_2)={\left({\mathrm{\Σ}}_{k=1}^{\mathrm{Tx}}{\mathrm{\Σ}}_{h=1}^M{|w_{k,h}^{\left(1\right)}-w_{k,h}^{\left(2\right)}|}^p\right)}^{\frac{1}{p}},$

$d(W_1,W_2)=\max \{{|w_{\mathrm{1,1}}^{\left(1\right)}-w_{\mathrm{1,1}}^{\left(2\right)}|}^p,...,{|w_{\mathrm{Tx},M}^{\left(1\right)}-w_{\mathrm{Tx},M}^{\left(2\right)}|}^p\},$

Wherein, λ _Max(W ₁W ₁ ^H-W ₂W ₂ ^H) representing matrix W ₁W ₁ ^H-W ₂W ₂ ^HEigenvalue of maximum, With

Be the beam shape-endowing weight value of current receiving terminal, W _{M, l} ⁽¹⁾, w _{M, l} ⁽²⁾Be the weights component of the different m root constantly of current receiving terminal transmitting antenna to l wave beam; M=1,2 ..., Tx, l=1,2 ..., M, Tx are the number of all physical antennas of transmitting terminal, and M is the number of all wave beams of all antenna transmission of transmitting terminal, and p is the constant greater than 0; Upgrade previous weights distance and be D _Pre=ρ D _Pre+ (1-ρ) D _Cur, ρ is constant and 0≤ρ≤1, with second weights W ₂Value compose to W ₁If D _Pre≤ D _r, Ns adds 1 with statistic, D _rIt is the 3rd threshold value;

Repeat above-mentioned steps B ', until above-mentioned judgement end cycle or Ns 〉=Num, Num is second threshold value;

Step S604, transmitting terminal determine to be suitable for the data transmission modes of this current receiving terminal from MIMO+BF pattern and MIMO+CDD pattern according to the weights information of statistics;

When go out weights correlation or weights distance according to the method statistic among the step S602 after, can adopt following method specified data sending mode, if i.e. Ns 〉=Num determines that MIMO+BF is the data transmission modes of this current receiving terminal; If Ns＜Num determines that MIMO+CDD is the data transmission modes of this current receiving terminal;

Step S606, transmitting terminal use the established data sending mode to send data to this current receiving terminal.

First weights W in the present embodiment ₁With second weights W ₂Can obtain according to correlation technique, for example obtain according to channel coefficient matrix H (k), wherein, k=1 ..., N _c, N _cCarrier wave number for the carrier set that is used for calculating weights.Its obtaining step comprises, the correlation matrix of calculating channel coefficient matrix H (k)

Correlation matrix is carried out characteristic value decomposition, and with the vectorial matrix W of forming of preceding M eigenvalue of maximum characteristic of correspondence, as the weights of MIMO+BF.Here no longer describe in detail.

Present embodiment is by the weights information of statistics receiving terminal correspondence, and selecting the data transmission modes of this receiving terminal neatly according to the result who adds up is MIMO+BF or MIMO+CDD, has increased the stability and the throughput that has improved system of link.

Embodiment two

The transmitting terminal of present embodiment is that example describes with the base station, and the receiving terminal that this base station is served below has N _UserIndividual, its set is expressed as Ω, and receiving terminal i is designated as u _iWherein the set of MIMO+CDD receiving terminal is designated as _MIMOCDD, be initialized as complete or collected works, i.e. Ω _MIMOCDD=Ω.The set of MIMO+BF receiving terminal is designated as Ω _MIMOBF, be initialized as empty set, i.e. Ω _MIMOBF={ φ }.The configuration judgement cycle is the T frame.The weights information of present embodiment is the weights correlation, and its thresholding is configured to T _r, the threshold value of statistical variable is configured to Num, and previous weights correlation is configured to R _Pre=α.

Fig. 7 shows the definite method flow diagram according to the data transmission modes of the embodiment of the invention, in this method judgement period T, and each the receiving terminal u under the base station _i, i=1,2 ..., N _UserCarry out following processing, up to having traveled through all receiving terminals:

Step S702, time sequencing frame by frame obtains first weights W in this judgement cycle ₁Ns=0;

Step S704 according to the time sequencing of frame, obtains the next up-to-date weights W of receiving terminal ₂, W ₂At W ₁Next frame or a few frame in calculate;

Step S706 calculates this receiving terminal current weight correlation R _Cur=|| W ₁ ^H* W ₂||, here, || the norm of A|| representing matrix A, such as A all elements mould square root sum square, promptly

And to upgrade previous weights correlation be R _Pre=ρ R _Pre+ (1-ρ) R _Cru, ρ is constant and 0≤ρ≤1, refreshing weight W ₁=W ₂

Step S708, more previous weights correlation R _PreWith threshold T _rIf, R _Pre〉=T _r, statistical variable N then _sAdd 1, if R _Pre＜T _rDo not upgrade statistical variable N _s, direct execution in step S710;

Step S710 judges whether this judgement period T finishes, if execution in step S712 if not, returns step S704;

This step also can will judge whether this judgement period T finishes to replace with judgement N _sMore than or equal to Num, other step is constant;

Step S712 determines the data transmission modes of receiving terminal according to the result of statistics;

For receiving terminal u _i, i=1,2 ..., N _User, carry out following model selection:

A) if u _iIn MIMO+CDD receiving terminal set omega _MIMOCDDIn and Ns 〉=Num, with the deletion from MIMO+CDD set of this receiving terminal, and it is added to the MIMO+BF set omega _MIMOBFIn;

B) if u _iIn MIMO+CDD receiving terminal set omega _MIMOCDDIn and Ns＜Num, this receiving terminal is continued to be retained in the MIMO+CDD set omega _MIMOCDDIn;

C) if u _iIn MIMO+BF receiving terminal set omega _MIMOBFIn and Ns 〉=Num, this receiving terminal is continued to be retained in MIMO+BF set _MIMOBFIn;

D) if u _iIn MIMO+BF receiving terminal set omega _MIMOBFIn and Ns＜Num, with the deletion from MIMO+BF set of this receiving terminal, and it is added to the MIMO+CDD set omega _MIMOCDDIn;

Step S714, the base station is carried out data by the data transmission modes of the set correspondence at receiving terminal place and is sent, for example, if this receiving terminal sends the pattern of data by MIMO+CDD in the MIMO+CDD set; If this receiving terminal sends the pattern of data by MIMO+BF in the MIMO+BF set;

Behind the leading decision end cycle, the base station will enter into the next judgement cycle.

Present embodiment is by the weights correlation of statistics receiving terminal correspondence, and selecting the data transmission modes of this receiving terminal neatly according to the result who adds up is MIMO+BF or MIMO+CDD, has increased the stability and the throughput that has improved system of link.

Embodiment three

The transmitting terminal of present embodiment is that example describes with the base station, and the receiving terminal that this base station is served below has N _UserIndividual, its set is expressed as Ω, and receiving terminal i is designated as u _iWherein the set of MIMO+CDD receiving terminal is designated as _MIMOCDD, be initialized as complete or collected works, i.e. Ω _MIMOCDD=Ω.The set of MIMO+BF receiving terminal is designated as _MIMOBF, be initialized as empty set, i.e. Ω _MIMOBF={ φ }.The judgement cycle that configuration mode switches is the T frame.The weights information of present embodiment is the weights distance, and the weights distance threshold is configured to D _r, the threshold value of statistical variable is configured to Num.Previous weights distance is configured to D _Pre=α.

Fig. 8 shows the definite method flow diagram according to the data transmission modes of the embodiment of the invention, in the judgement period T that this method mode switches, and each the receiving terminal u under the base station _i, i=1,2 ..., N _UserCarry out following processing, up to having traveled through all receiving terminals:

Step S802, time sequencing frame by frame, first weights W of this receiving terminal of acquisition in the judgement cycle ₁Ns=0;

Step S804 according to the time sequencing of frame, obtains the next up-to-date weights W of receiving terminal ₂, W ₂At W ₁Next frame or a few frame in calculate;

Step S806, the distance of calculating this receiving terminal current weight is D _Cur=d (W ₁, W ₂), wherein, d is to weights W ₁, W ₂Processing, be preferably one of following:

d(W ₁，W ₂)＝λ _max(W ₁W ₁ ^H-W ₂W ₂ ^H)，

$d(W_1,W_2)={\mathrm{\Σ}}_{k=1}^{\mathrm{Tx}}{\mathrm{\Σ}}_{h=1}^M{|w_{k,h}^{\left(1\right)}-w_{k,h}^{\left(2\right)}|}^p,$

$d(W_1,W_2)={\left({\mathrm{\Σ}}_{k=1}^{\mathrm{Tx}}{\mathrm{\Σ}}_{h=1}^M{|w_{k,h}^{\left(1\right)}-w_{k,h}^{\left(2\right)}|}^p\right)}^{\frac{1}{p}},$

$d(W_1,W_2)=\max \{{|w_{\mathrm{1,1}}^{\left(1\right)}-w_{\mathrm{1,1}}^{\left(2\right)}|}^p,...,{|w_{\mathrm{Tx},M}^{\left(1\right)}-w_{\mathrm{Tx},M}^{\left(2\right)}|}^p\},$

Wherein, λ _Max(W ₁W ₁ ^H-W ₂W ₂ ^H) representing matrix W ₁W ₁ ^H-W ₂W ₂ ^HEigenvalue of maximum,

With

Be the beam shape-endowing weight value of current receiving terminal, w _{M, l} ⁽¹⁾, w _{M, l} ⁽²⁾Be the weights component of the different m root constantly of current receiving terminal transmitting antenna to l wave beam; M=1,2 ..., Tx, l=1,2 ..., M, Tx are the number of all physical antennas of transmitting terminal, and M is the number of all wave beams of all antenna transmission of transmitting terminal, and p is the constant greater than 0; Upgrade previous weights distance and be D _Pre=ρ D _Pre+ (1-ρ) D _Cur, ρ is constant and 0≤ρ≤1, with second weights W ₂Value compose to W ₁

And upgrade previous weights apart from being D _Pre=ρ D _Pre+ (1-ρ) D _Cur, ρ is constant and 0≤ρ≤1, refreshing weight W ₁=W ₂

Step S808, more previous weights D _PreWith threshold value D _rIf, D _Pre≤ D _r, statistical variable N then _sAdd 1, if D _Pre＞D _rDo not upgrade statistical variable N _s, direct execution in step S810;

Step S810 judges whether this judgement period T finishes, if execution in step S8712 if not, returns step S804;

This step also can will judge whether this judgement period T finishes to replace with judgement N _sMore than or equal to Num, other step is constant;

Step S812 determines the data transmission modes of receiving terminal according to the result of statistics;

For receiving terminal u _i, i=1,2 ..., N _User, carry out following model selection:

A) if u _iGather at the MIMO+CDD receiving terminal _MIMOCDDIn and Ns 〉=Num, with the deletion from MIMO+CDD set of this receiving terminal, and it is added to the MIMO+BF set omega _MIMOBFIn;

B) if u _iIn MIMO+CDD receiving terminal set omega _MIMOCDDIn and Ns＜Num, this receiving terminal is continued to be retained in the MIMO+CDD set omega _MIMOCDDIn;

C) if u _iIn MIMO+BF receiving terminal set omega _MIMOBFIn and Ns 〉=Num, this receiving terminal is continued to be retained in the MIMO+BF set omega _MIMOBFIn;

D) if u _iIn MIMO+BF receiving terminal set omega _MIMOBFIn and Ns＜Num, with the deletion from MIMO+BF set of this receiving terminal, and it is added to the MIMO+CDD set _MIMOCDDIn;

Step S814, the base station is carried out data by the data transmission modes of the set correspondence at receiving terminal place and is sent, for example, if this receiving terminal sends the pattern of data by MIMO+CDD in the MIMO+CDD set; If this receiving terminal sends the pattern of data by MIMO+BF in the MIMO+BF set;

Behind the leading decision end cycle, the base station will enter into the next judgement cycle.

Present embodiment is by the weights distance of statistics receiving terminal correspondence, and selecting the data transmission modes of this receiving terminal neatly according to the result who adds up is MIMO+BF or MIMO+CDD, has increased the stability and the throughput that has improved system of link.

Embodiment four

Fig. 9 shows the structured flowchart according to definite device of the data transmission modes of the embodiment of the invention, and this device comprises statistical module 90, determination module 92 and sending module 94, and each functions of modules is as follows.

Statistical module 90 was used in the judgement cycle, added up the weights information of current receiving terminal;

Determination module 92 is used for determining to be suitable for from MIMO+BF pattern and many MIMO+CDD pattern according to the weights information of statistical module 90 statistics the data transmission modes of current receiving terminal; And

Sending module 94 is used to use determination module 92 established data sending modes to send data to this current receiving terminal.

Preferably, weights information comprises the weights correlation, and the statistics mould is determined and 90 to be comprised:

First computing unit is used for the previous weights correlation of initialization R _Pre=α, wherein, α is the constant greater than 0; The judgement cycle is the T frame; In the judgement cycle, obtain first weights W of this receiving terminal ₁Ns=0;

Second computing unit is used for the time sequencing according to frame, obtains second weights W in present frame ₂Calculate the current weight correlation R of current receiving terminal _Cur=|| W ₁ ^H* W ₂||, H is the conjugate transpose of matrix, || W ₁ ^H* W ₂|| representing matrix W ₁ ^H* W ₂Norm; Upgrading previous weights correlation is R _Pre=ρ R _Pre+ (1-ρ) R _Cur, ρ is constant and 0≤ρ≤1, with second weights W ₂Value compose to W ₁If R _Pre〉=T _r, Ns adds 1 with statistic, T _rIt is first threshold value;

The first repeated priming unit is used for the time sequencing according to frame, starts second computing unit, and until judgement end cycle or Ns 〉=Num, Num is second threshold value.

Preferably, weights information comprises the weights distance, and statistical module 90 comprises:

The 3rd computing unit is used for the previous weights distance D of initialization _Pre=α, wherein, α is the constant greater than 0; The above-mentioned judgement cycle is the T frame; In first frame, calculate first weights W according to channel coefficient matrix ₁Ns=0;

The 4th computing unit is used for the time sequencing according to frame, calculates second weights W in present frame ₂The current weight of calculating current receiving terminal is apart from F _Cur=d (W ₁, W ₂), d is to weights W ₁, W ₂Processing, be preferably one of following:

d(W ₁，w ₂)＝λ _max(W ₁W ₁ ^H-W ₂W ₂ ^H)，

$d(W_1,W_2)={\mathrm{\Σ}}_{k=1}^{\mathrm{Tx}}{\mathrm{\Σ}}_{h=1}^M{|w_{k,h}^{\left(1\right)}-w_{k,h}^{\left(2\right)}|}^p,$

$d(W_1,W_2)={\left({\mathrm{\Σ}}_{k=1}^{\mathrm{Tx}}{\mathrm{\Σ}}_{h=1}^M{|w_{k,h}^{\left(1\right)}-w_{k,h}^{\left(2\right)}|}^p\right)}^{\frac{1}{p}},$

$d(W_1,W_2)=\max \{{|w_{\mathrm{1,1}}^{\left(1\right)}-w_{\mathrm{1,1}}^{\left(2\right)}|}^p,...,{|w_{\mathrm{Tx},M}^{\left(1\right)}-w_{\mathrm{Tx},M}^{\left(2\right)}|}^p\},$

Wherein, λ _Max(W ₁W ₁ ^H-W ₂W ₂ ^H) representing matrix W ₁W ₁ ^H-W ₂W ₂ ^HEigenvalue of maximum,

With

Be the beam shape-endowing weight value of current receiving terminal, w _{M, l} ⁽¹⁾, w _{M, l} ⁽²⁾Be the weights component of the different m root constantly of current receiving terminal transmitting antenna to l wave beam; M=1,2 ..., Tx, l=1,2 ..., M, Tx are the number of all physical antennas of transmitting terminal, and M is the number of all wave beams of all antenna transmission of transmitting terminal, and p is the constant greater than 0; Upgrade previous weights distance and be D _Pre=ρ D _Pre+ (1-ρ) R _Cur, ρ is constant and 0≤ρ≤1, with second weights W ₂Value compose to W ₁If D _Pre≤ D _r, Ns adds 1 with statistic, D _rIt is the 3rd threshold value;

The second repeated priming unit is used for the time sequencing according to frame, starts the 4th computing unit, and until this judgement end cycle or Ns 〉=Num, Num is second threshold value.

Correspondingly, determination module 92 comprises: comparing unit is used for the size of comparison Ns and Num; First determining unit is Ns 〉=Num if be used for the comparative result of comparing unit, determines that MIMO+BF is the data transmission modes of current receiving terminal; Second determining unit is Ns＜Num if be used for the comparative result of comparing unit, determines that MIMO+CDD is the data transmission modes of current receiving terminal.

Present embodiment is by the weights information of statistical module 90 statistics receiving terminal correspondences, for example weights correlation or weights distance, and by determination module 92 to select the data transmission modes of this receiving terminal neatly be MIMO+BF or MIMO+CDD according to the result of statistics, increased the stability of link and improved the throughput of system.

As can be seen from the above description, the present invention has realized following technique effect: by the weights information of statistics receiving terminal correspondence, selecting the data transmission modes of this receiving terminal neatly according to the result who adds up is MIMO+BF or MIMO+CDD, has increased the stability and the throughput that has improved system of link.

Obviously, those skilled in the art should be understood that, above-mentioned each module of the present invention or each step can realize with the general calculation device, they can concentrate on the single calculation element, perhaps be distributed on the network that a plurality of calculation element forms, alternatively, they can be realized with the executable program code of calculation element, thereby, they can be stored in the storage device and carry out by calculation element, and in some cases, can carry out step shown or that describe with the order that is different from herein, perhaps they are made into each integrated circuit modules respectively, perhaps a plurality of modules in them or step are made into the single integrated circuit module and realize.Like this, the present invention is not restricted to any specific hardware and software combination.

The above is the preferred embodiments of the present invention only, is not limited to the present invention, and for a person skilled in the art, the present invention can have various changes and variation.Within the spirit and principles in the present invention all, any modification of being done, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (8)

1. definite method of a data transmission modes is characterized in that, comprising:

In the judgement cycle, transmitting terminal is added up the weights information of current receiving terminal, determines to be suitable for the data transmission modes of described current receiving terminal from multiple-input and multiple-output wave beam forming MIMO+BF pattern and multiple-input and multiple-output cyclic delay diversity MIMO+CDD pattern according to the described weights information of statistics; And

Described transmitting terminal uses the established data sending mode to send data to described current receiving terminal.

2. method according to claim 1 is characterized in that, described weights information comprises the weights correlation, and the weights information that described transmitting terminal is added up current receiving terminal comprises:

Steps A: the previous weights correlation of initialization R _Pre=α, wherein, α is the constant greater than 0; The described judgement cycle is the T frame; Obtain first weights W in the described judgement cycle ₁Ns=0;

Step B:, in present frame, obtain second weights W according to the time sequencing of frame ₂Calculate the current weight correlation R of described current receiving terminal _Cur=|| W ₁ ^H* W ₂||, wherein, H is the conjugate transpose of matrix, || W ₁ ^H* W ₂|| representing matrix W ₁ ^H* W ₂Norm; Upgrading described previous weights correlation is R _Pre=ρ R _Pre+ (1-ρ) R _Cur, ρ is constant and 0≤ρ≤1, with described second weights W ₂Value compose to described W ₁If R _Pre〉=T _r, Ns adds 1 with statistic, T _rIt is first threshold value;

Repeat described step B, until described judgement end cycle or Ns 〉=Num, Num is second threshold value.

3. method according to claim 1 is characterized in that, described weights information comprises the weights distance, and the weights information that described transmitting terminal is added up current receiving terminal comprises:

Steps A ': the previous weights distance D of initialization _Pre=α, wherein, α is the constant greater than 0; The described judgement cycle is the T frame; Obtain first weights W in the described judgement cycle ₁Ns=0;

Step B ':, in present frame, obtain second weights W according to the time sequencing of frame ₂Calculate the current weight distance D of described current receiving terminal _Cur=d (W ₁, W ₂), wherein, d (W ₁, W ₂) be one of following formula:

d(W ₁，W ₂)＝λ _max(W ₁W ₁ ^H-W ₂W ₂ ^H)，

$d(W_1,W_2)={\mathrm{\Σ}}_{k=1}^{\mathrm{Tx}}{\mathrm{\Σ}}_{h=1}^M{|w_{k,h}^{\left(1\right)}-w_{k,h}^{\left(2\right)}|}^p,$

$d(W_1,W_2)={\left({\mathrm{\Σ}}_{k=1}^{\mathrm{Tx}}{\mathrm{\Σ}}_{h=1}^M{|w_{k,h}^{\left(1\right)}-w_{k,h}^{\left(2\right)}|}^p\right)}^{\frac{1}{p}},$

$d(W_1,W_2)=\max \{{|w_{\mathrm{1,1}}^{\left(1\right)}-w_{\mathrm{1,1}}^{\left(2\right)}|}^p,\·\·\·,{|w_{\mathrm{Tx},M}^{\left(1\right)}-w_{\mathrm{Tx},M}^{\left(2\right)}|}^p\},$

Wherein, λ _Max(W ₁W ₁ ^H-W ₂W ₂ ^H) representing matrix W ₁W ₁ ^H-W ₂W ₂ ^HEigenvalue of maximum,

With

Be the beam shape-endowing weight value of described current receiving terminal, w _{M, l} ⁽¹⁾, w _{M, l} ⁽²⁾Be the weights component of the different m root constantly of described current receiving terminal transmitting antenna to l wave beam; M=1,2 ..., Tx, l=1,2 ..., M, Tx are the number of all physical antennas of described transmitting terminal, and M is the number of all wave beams of all antenna transmission of described transmitting terminal, and p is the constant greater than 0; Upgrade described previous weights distance and be D _Pre=ρ D _Pre+ (1-ρ) D _Cur, ρ is constant and 0≤ρ≤1, with described second weights W ₂Value compose to described W ₁If D _Pre≤ D _r, Ns adds 1 with statistic, D _rIt is the 3rd threshold value;

Repeat described step B ', until described judgement end cycle or Ns 〉=Num, Num is second threshold value.

4. according to claim 2 or 3 described methods, it is characterized in that described described weights information according to statistics determines that from MIMO+BF pattern or MIMO+CDD pattern the data transmission modes that is suitable for described current receiving terminal comprises:

If Ns 〉=Num determines that MIMO+BF is the data transmission modes of described current receiving terminal;

If Ns＜Num determines that MIMO+CDD is the data transmission modes of described current receiving terminal.

5. definite device of a data transmission modes is characterized in that, comprising:

Statistical module was used in the judgement cycle, added up the weights information of current receiving terminal;

Determination module is used for determining to be suitable for from multiple-input and multiple-output wave beam forming MIMO+BF pattern and multiple-input and multiple-output cyclic delay diversity MIMO+CDD pattern according to the described weights information of described statistical module counts the data transmission modes of described current receiving terminal; And

Sending module is used to use described determination module established data sending mode to send data to described current receiving terminal.

6. device according to claim 5 is characterized in that, described weights information comprises the weights correlation, and described statistical module comprises:

First computing unit is used for the previous weights correlation of initialization R _Pre=α, wherein, α is the constant greater than 0; The described judgement cycle is the T frame; Obtain first weights W in the described judgement cycle ₁Ns=0;

Second computing unit is used for the time sequencing according to frame, obtains second weights W in present frame ₂Calculate the current weight correlation R of described current receiving terminal _Cur=|| W ₁ ^H* W ₂||, H is the conjugate transpose of matrix, || W ₁ ^H* W ₂|| representing matrix W ₁ ^H* W ₂Norm; Upgrading described previous weights correlation is R _Pre=ρ R _Pre+ (1-ρ) R _Cur, ρ is constant and 0≤ρ≤1, with described second weights W ₂Value compose to described W ₁If R _Pre〉=T _r, Ns adds 1 with statistic, T _rIt is first threshold value;

The first repeated priming unit is used for the time sequencing according to frame, starts described second computing unit, and until described judgement end cycle or Ns 〉=Num, Num is second threshold value.

7. device according to claim 5 is characterized in that, described weights information comprises the weights distance, and described statistical module comprises:

The 3rd computing unit is used for the previous weights distance D of initialization _Pre=α, wherein, α is the constant greater than 0; The described judgement cycle is the T frame; Obtain first weights W in the described judgement cycle ₁Ns=0;

The 4th computing unit is used for the time sequencing according to frame, obtains second weights W in present frame ₂Calculate the current weight distance D of described current receiving terminal _Cur=d (W ₁, W ₂), wherein, d (W ₁, W ₂) be one of following formula:

d(W ₁，W ₂)＝λ _max(W ₁W ₁ ^H-W ₂W ₂ ^H)，

$d(W_1,W_2)={\mathrm{\Σ}}_{k=1}^{\mathrm{Tx}}{\mathrm{\Σ}}_{h=1}^M{|w_{k,h}^{\left(1\right)}-w_{k,h}^{\left(2\right)}|}^p,$

$d(W_1,W_2)={\left({\mathrm{\Σ}}_{k=1}^{\mathrm{Tx}}{\mathrm{\Σ}}_{h=1}^M{|w_{k,h}^{\left(1\right)}-w_{k,h}^{\left(2\right)}|}^p\right)}^{\frac{1}{p}},$

$d(W_1,W_2)=\max \{{|w_{\mathrm{1,1}}^{\left(1\right)}-w_{\mathrm{1,1}}^{\left(2\right)}|}^p,\·\·\·,{|w_{\mathrm{Tx},M}^{\left(1\right)}-w_{\mathrm{Tx},M}^{\left(2\right)}|}^p\},$

Wherein, λ _Max(W ₁W ₁ ^H-W ₂W ₂ ^H) representing matrix W ₁W ₁ ^H-W ₂W ₂ ^HEigenvalue of maximum,

With

Be the beam shape-endowing weight value of described current receiving terminal, w _{M, l} ⁽¹⁾, w _{M, l} ⁽²⁾Be the weights component of the different m root constantly of described current receiving terminal transmitting antenna to l wave beam; M=1,2 ..., Tx, l=1,2 ..., M, Tx are the number of all physical antennas of described transmitting terminal, and M is the number of all wave beams of all antenna transmission of described transmitting terminal, and p is the constant greater than 0; Upgrade described previous weights distance and be D _Pre=ρ D _Pre+ (1-ρ) D _Cur, ρ is constant and 0≤ρ≤1, with described second weights W ₂Value compose to described W ₁If D _Pre≤ D _r, Ns adds 1 with statistic, D _rIt is the 3rd threshold value;

The second repeated priming unit is used for the time sequencing according to frame, starts described the 4th computing unit, and until described judgement end cycle or Ns 〉=Num, Num is second threshold value.

8. according to claim 6 or 7 described devices, it is characterized in that described determination module comprises:

Comparing unit is used for the size of comparison Ns and Num;

First determining unit is Ns 〉=Num if be used for the comparative result of described comparing unit, determines that MIMO+BF is the data transmission modes of described current receiving terminal;

Second determining unit is Ns＜Num if be used for the comparative result of described comparing unit, determines that MIMO+CDD is the data transmission modes of described current receiving terminal.

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