CN101834651B - Data information linear preprocessing method of multiuser multiple data stream MIMO (Multiple Input Multiple Output) system - Google Patents
Data information linear preprocessing method of multiuser multiple data stream MIMO (Multiple Input Multiple Output) system Download PDFInfo
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- CN101834651B CN101834651B CN 201010301346 CN201010301346A CN101834651B CN 101834651 B CN101834651 B CN 101834651B CN 201010301346 CN201010301346 CN 201010301346 CN 201010301346 A CN201010301346 A CN 201010301346A CN 101834651 B CN101834651 B CN 101834651B
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Abstract
The invention relates to a data information linear preprocessing method of a multiuser multiple data stream MIMO (Multiple Input Multiple Output) system, which comprises the following steps of: determining data information to be sent of each receiving user by a base station sender; feeding back user channel information to the base station sender by each user; obtaining interference information and noise power by the base station sender; carrying out linear preprocessing and superposition on the data information sent to each user by the base station sender; broadcasting obtained final sending information by the base station sender; and receiving information sent by the base station sender by each user and carrying out matching filtration on the receiving information, wherein the information subjected to the matching filtration is required by each user. The invention can balance preprocessing gain among a plurality of data streams of the users, thereby obtaining better system error code rate performance; meanwhile, covariance matrixes of a user channel matrix and an interference channel matrix need not be respectively solved, therefore, the invention has simple computation and stable number performance and is suitable for practical application.
Description
Technical field
What the present invention relates to is a kind of processing method of wireless communication technology field, specifically the data message linear preprocessing method of a kind of multi-user's multiple data stream MIMO (multiple-input and multiple-output) system.
Background technology
Mimo wireless communication system is because its tremendous potential at capacity and aspect of performance has caused people's broad research in recent years.Along with deepening continuously of research, the MIMO technology is from originally point-to-point Single User MIMO (SU-MIMO) system extension to the multiuser MIMO of point-to-multipoint (MU-MIMO) system.In the industry cycle, SU-MIMO and MU-MIMO technology are all adopted by the LTE of the 3GPP of International Standards Organization and LTE-Advanced standard.
The MU-MIMO technology can with the mode of space division multiple access (SDMA) on identical time, frequency and code territory simultaneously to each user's data information, thereby can further improve the throughput of system.Yet, when a plurality of users share same running time-frequency resource, will inevitably introduce common-channel interference (CCI).Because the existence of CCI, must adopt suitable method to eliminate or suppress CCI.Yet, because a plurality of users' existence, disturb again the scheme that suppresses or eliminate no longer feasible in MU-MIMO at receiving terminal in the tradition SU-MIMO system, thereby in MU-MIMO, must take to suppress or eliminate CCI, i.e. common described preconditioning technique in the document in the scheme that transmitting terminal is processed the data message that sends in advance.
MU-MIMO mainly is divided into non-linear and linear two large classes to the data message that sends by the scheme that preliminary treatment suppresses CCI.Non-linear preliminary treatment implementation complexity is high and time delay is arranged, and is difficult to use in practice.Linear preliminary treatment implementation complexity is low, and along with the number of users increase can obtain and theoretical (DPC) the progressive identical capacity of optimum pretreating scheme-dirty paper, so practicality is stronger.
Through existing literature search is found that the data message linear preprocessing method mainly is divided into two classes:
One class is based on signal and the maximized optimization method of interference-to-noise ratio (SINR): the method is owing to can't directly obtain closed solution, so some second best measures that derive take block diagonalization (BD) as representative (are seen Q.H.Spencer, " Zero-forcingmethods for downlink spatial multiplexing in multiuser MIMO channels (the ZF method in the descending multi-user MIMO spatial reuse); " IEEE Transactions on Signal Processing, vol.52, pp.461-471, Feb.2004), the BD method has strict restriction to the relation of system's number of transmit antennas and reception antenna number, when this restrictive condition does not satisfy, be difficult to obtain desirable performance by the BD method.
Another kind of method for designing is that leaking based on letter of proposing in recent years made an uproar than the optimization method of (SLNR): (see M.Sadek, " Aleakage-based precoding scheme for downlink multi-user MIMO channels (a kind of preprocess method based on revealing among the descending multi-user MIMO); " IEEE Transactions on Wireless Communications, vol.6, pp.1711-1721, May 2007), the method expects that each user's to be asked received signal power is as far as possible large, and its noise power is as far as possible little to other users' interference power sum with leakage simultaneously.The main advantage of the method is that target function avoided the nested problem of preconditioning matrix between the user under the SINR optimization method, can directly try to achieve the optimization closed solution, and need not to satisfy the restrictive condition of the dual-mode antenna number in the BD method, thereby have more wide application space.But still there are following three major defects in the SLNR linear preprocessing method:
1) transmit in the situation of a plurality of data message streams each user, the preliminary treatment gain profiles between each data message stream is seriously uneven, thereby causes the decline of overall system performance.
2) need to obtain respectively the covariance matrix of subscriber channel matrix and interference channel matrix in the preliminary treatment design process.When trying to achieve covariance matrix, losing of information can occur, and owing to transmitting terminal in the real system is difficult to know accurate channel information, above-mentioned information dropout situation is with even more serious.
3) need to try to achieve one of them inverse of covariance matrixs after noise correction in the preliminary treatment design process, this approximate matrix is nonsingular matrix (singular matrix) when larger signal to noise ratio, be difficult to get its inverse matrix and find the solution complexity and (see for details: " matrix analysis and application ", open prominent personage's work, publishing house of Tsing-Hua University published in 2004).
Summary of the invention
The object of the invention is to overcome the defects of prior art, a kind of data message linear preprocessing method of multi-user's multiple data stream mimo system is provided.The inventive method can be in establishment CCI, and further the preliminary treatment between each data message stream of balance gains, thereby has significantly improved the bit error rate performance of system; And, the inventive method has been avoided the process of asking for of the covariance matrix of subscriber channel matrix and interference channel matrix, also be similar to the inverse matrix of nonsingular matrix without demand, thereby the method not only has lower information loss degree, the while simplicity of design, implementation complexity is lower.
The present invention is achieved by the following technical solutions, may further comprise the steps:
The first step, each user sends the request signal of its required image and voice to base station transmitter, and base station transmitter is determined to receive user's data message to be sent to each according to each user's request signal.
Described data message to be sent comprises the coefficient parameter of image compression encoding information and voice autoregression (AR) filter.
The sign format of described data message to be sent after with bit modulation represents.
Second step, the pilot data that each user receives according to self obtain subscriber channel information H, and this subscriber channel information is fed back to base station transmitter.
Described subscriber channel information is quantized versions or code book form.
In the 3rd step, base station transmitter obtains interfere information H according to subscriber channel information, and the one step surveying of going forward side by side obtains noise power σ
2
In the 4th step, base station transmitter carries out linear preliminary treatment to the data message that is transmitted to each user, and pretreated information superposeed obtains final emission information S, and the CCI information among the emission information S of this moment is by establishment.
Described linear preliminary treatment, concrete steps are:
1) with k user's subscriber channel information H
k, interfere information H
kWith noise power σ
2Carry out vertical cascade and obtain common cascade matrix T
k, i.e. T
k=[H
k: H
k: α σ I
N];
2) to common cascade matrix T
kCarry out singular value decomposition:
Wherein: U
kT
kLeft singular matrix, Λ
kT
kThe diagonal matrix that consists of of positive singular value, V
kT
kRight singular matrix;
3) choose left singular matrix U
kFront N row obtain matrix U '
k(U '
k=U
k(: .1:N)), and to matrix U '
kCarry out singular value decomposition:
Wherein: N is the number of base station transmit antennas, P
kU '
kLeft singular matrix, Ω
kU '
kThe diagonal matrix that consists of of positive singular value, Q
kU '
kRight singular matrix;
4) order
Get W '
kFront m row obtain linear preconditioning matrix W
k, wherein: m is the data fluxion of each user assignment;
5) utilize linear preconditioning matrix W
kCarry out linear preliminary treatment for the initial information of k user's emission to the base station, concrete formula is:
S
k＝W
ks
k，
Wherein: s
kThat the base station is to the initial information of k user's emission, S
kThen be that the base station is to the pretreated actual transmission information of initial information inlet wire of k user's emission.
Described stack, concrete formula is:
Wherein: S is the final emission information of base station transmitter, and K is total reception number of users.
In the 5th step, the final emission information S that base station transmitter will obtain broadcasts, and namely this information is sent to simultaneously all reception users on mimo channel.
In the 6th step, each user receives the information that base station transmitter sends, and the docking breath of collecting mail carries out matched filtering, and the information after the matched filtering is the needed information of user.
Described matched filtering, concrete formula is:
r′
k＝[H
kW
k)
H/||H
kW
k||
F]×r
k
Wherein: r '
kK the filtered information of user, H
kK user's subscriber channel information, W
kK user's linear preconditioning matrix, || ||
FRepresenting matrix Frobenius norm, r
kK user's reception information.
Compared with the prior art, the present invention has following beneficial effect:
1) can be when effectively suppressing CCI, the further gain of the preliminary treatment between a plurality of data message streams of balance user, thus obtain better error rate of system performance;
2) avoid the process of asking for of the covariance matrix of subscriber channel matrix and interference channel matrix, also need not to obtain one of them approximate unusual (irreversible) inverse matrix, thereby the lower information loss degree of the method and stronger stability;
3) data message preliminary treatment simplicity of design, implementation complexity is low, and the method strong robustness is highly suitable in the real system and uses.
Description of drawings
Fig. 1 is embodiment error performance comparison diagram.
Embodiment
Below in conjunction with accompanying drawing method of the present invention is elaborated: present embodiment is implemented as prerequisite take technical solution of the present invention, provided detailed execution mode and concrete operating process, but protection scope of the present invention is not limited to following embodiment.
Embodiment
Mimo system has two users in the present embodiment, 3 data flow of each user assignment, there are 12 transmit antennas the base station, each user of receiving terminal has 3 reception antennas, each user's channel is independence, distribution, zero-mean variance are 1 the multiple Gaussian random variable of circulation together, channel between the user is separate, and noise is that variance is σ
2White complex gaussian noise, this system is carried out linear preliminary treatment specifically may further comprise the steps:
The first step, each user sends the request signal of its required image and voice to base station transmitter, and base station transmitter is determined to receive user's data message to be sent to each according to each user's request signal.
Described data message to be sent comprises the coefficient parameter of image compression encoding information and voice autoregressive filter.
The sign format of described data message to be sent after with bit modulation represents that wherein: the data message to be sent of first user is with s
1Expression, the second user's data message to be sent is with s
2Expression.
Second step, the pilot data that two users receive according to self respectively obtains its channel information H
1And H
2, and respectively with H
1And H
2Feed back to base station transmitter with quantized versions.
In the 3rd step, base station transmitter is respectively according to two users' channel information H
1And H
2, obtain first user's interfere information H
1=H
2, second user's interfere information H
2=H
1, the one step surveying of going forward side by side obtains noise power σ
2
In the 4th step, base station transmitter carries out linear preliminary treatment to the data message that is transmitted to these two users, and pretreated information superposeed obtains final emission information S, and the CCI information among the emission information S of this moment is by establishment.
Present embodiment carries out linear pretreated process to first user's initial information:
1) according to first user's channel information H
1, interfere information H
1With noise power σ
2Carry out vertical cascade and obtain matrix T
1, i.e. T
1=[H
1: H
1: α σ I
N];
2) to matrix T
1Carry out singular value decomposition:
Wherein: U
1T
1Left singular matrix, Λ
1T
1The diagonal matrix that consists of of positive singular value, V
1T
1Right singular matrix;
3) choose left singular matrix U
1Front N row obtain matrix U '
k(U '
1=U
1(: .1:N)), and to matrix U '
1Carry out singular value decomposition:
Wherein: N is the number of base station transmit antennas, N=12 in the present embodiment, P
1U '
1Left singular matrix, Ω
1U '
1The diagonal matrix that consists of of positive singular value, Q
1U '
1Right singular matrix;
4) order
Get W '
1Front m row obtain linear preconditioning matrix W
1, wherein: m is the data fluxion of each user assignment, m=3 in the present embodiment;
5) utilize linear preconditioning matrix to the initial information s of base station to first user's emission
1Carry out linear preliminary treatment, first user's actual transmission information S is given in the base station that obtains
1Concrete formula be:
S
1＝W
1s
1。
Adopt identical method, obtain the base station to second user's actual transmission information S
2
Present embodiment through the final emission information S that stack obtains is:
S＝S
1+S
2。
In the 5th step, the final emission information S that base station transmitter will obtain broadcasts, and namely on mimo channel this information is sent to two simultaneously and receives the user.
In the 6th step, each user receives the information that base station transmitter sends, and the information that receives is carried out matched filtering, and the information after the matched filtering is the needed information of user.
The information r that first user of present embodiment receives
1Be:
r′
1＝H
1S+n
1
Wherein: n
1That power is σ
2White Gaussian noise.
Information r ' after the matched filtering that first user of present embodiment obtains
1Be:
r′
1＝[(H
1W
1)
H/||H
1W
1||
F]×r
1
Wherein: || ||
FRepresenting matrix Frobenius norm, information r '
1Be the information that first user needs.
Adopt identical method, obtain second information r ' after user's matched filtering
2, this information is the information that second user needs.
Adopting respectively Performance Ratio that the error rate that present embodiment method and SLNR linear preprocessing method obtain changes with signal to noise ratio more as shown in Figure 1, as can be seen from the figure, is 10 in the error rate
-4The time, the present embodiment method is compared the performance gain that the SLNR linear preprocessing method obtains to surpass 3dB, its reason is the inventive method just when can effectively restraining CCI, and further the preliminary treatment between each data message stream of balance gains, thereby significantly improves the bit error rate performance of system; In addition, along with the increase of dual-mode antenna number and user data fluxion, the performance gap of the two can be more obvious.
In addition, the present embodiment method in actual applications, avoided to obtain respectively the process of the covariance matrix of subscriber channel matrix and interference channel matrix, also need not to obtain one of them approximate unusual (irreversible) inverse matrix, thereby the method not only has lower information loss degree, the while simplicity of design, implementation complexity is lower, and the method robustness is stronger.
Claims (6)
1. the data message linear preprocessing method of multi-user's multiple data stream mimo system is characterized in that, may further comprise the steps:
The first step, each user sends the request signal of its required image and voice to base station transmitter, and base station transmitter is determined to receive user's data message to be sent to each according to each user's request signal;
Second step, the pilot data that each user receives according to self obtain subscriber channel information H, and this subscriber channel information is fed back to base station transmitter;
In the 3rd step, base station transmitter obtains interfere information according to subscriber channel information
The one step surveying of going forward side by side obtains noise power σ
2
In the 4th step, base station transmitter carries out linear preliminary treatment to the data message that is transmitted to each user, and pretreated information superposeed obtains final emission information S, and the CCI information among the emission information S of this moment is by establishment;
In the 5th step, the final emission information S that base station transmitter will obtain broadcasts, and namely this information is sent to simultaneously all reception users on mimo channel;
In the 6th step, each user receives the information that base station transmitter sends, and the docking breath of collecting mail carries out matched filtering, and the information after the matched filtering is the needed information of user;
Linear preliminary treatment described in the 4th step, concrete steps are:
1) with k user's subscriber channel information H
k, interfere information
With noise power σ
2Carry out vertical cascade and obtain common cascade matrix T
k, namely
2) to common cascade matrix T
kCarry out singular value decomposition:
Wherein: U
kT
kLeft singular matrix, A
kT
kThe diagonal matrix that consists of of positive singular value, V
kT
kRight singular matrix;
3) choose left singular matrix U
kFront N row obtain matrix U '
k, and to matrix U '
kCarry out singular value decomposition:
Wherein: U '
k=U
k(:, 1:N), N is the number of base station transmit antennas, P
kU '
kLeft singular matrix, Ω
kU '
kThe diagonal matrix that consists of of positive singular value, Q
kU '
kRight singular matrix;
4) order
Get W '
kFront m row obtain linear preconditioning matrix W
k, wherein: m is the data fluxion of each user assignment;
5) utilize linear preconditioning matrix W
kCarry out linear preliminary treatment for the initial information of k user's emission to the base station, concrete formula is:
S
k＝W
kq
k，
Wherein: q
kThat the base station is to the initial information of k user's emission, S
kThen be that the base station is to the pretreated actual transmission information of initial information inlet wire of k user's emission.
2. the data message linear preprocessing method of multi-user's multiple data stream mimo system according to claim 1 is characterized in that, the data message to be sent described in the first step comprises the coefficient parameter of image compression encoding information and voice autoregressive filter.
3. the data message linear preprocessing method of multi-user's multiple data stream mimo system according to claim 1 is characterized in that, the sign format of the data message to be sent described in the first step after with bit modulation represents.
4. the data message linear preprocessing method of multi-user's multiple data stream mimo system according to claim 1 is characterized in that, the subscriber channel information described in the second step is quantized versions or code book form.
5. the data message linear preprocessing method of multi-user's multiple data stream mimo system according to claim 1 is characterized in that, the stack described in the 4th step, and concrete formula is:
Wherein: S is the final emission information of base station transmitter, and K is total reception number of users.
6. the data message linear preprocessing method of multi-user's multiple data stream mimo system according to claim 1 is characterized in that, the matched filtering described in the 6th step, and concrete formula is:
r
k′＝[(H
kW
k)
H/||H
kW
k||
F]×r
k
Wherein: r
k' be k the filtered information of user, H
kK user's subscriber channel information, W
kK user's linear preconditioning matrix, || ||
FRepresenting matrix Frobenius norm, r
kK user's reception information.
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| CN112311705B (en) * | 2020-11-02 | 2021-06-29 | 四川天邑康和通信股份有限公司 | Weighted local linear regression channel estimation method applied to base station communication |
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| CN101047417A (en) * | 2007-04-20 | 2007-10-03 | 哈尔滨工程大学 | Selection preprocess method for downlink link antenna of multi-user MIMO system |
| CN101247208A (en) * | 2008-02-29 | 2008-08-20 | 中兴通讯股份有限公司 | Descending multi-user association space division multiplex signal transmitting and receiving method |
| KR20080105953A (en) * | 2007-05-31 | 2008-12-04 | 한국전자통신연구원 | Apparatus and method for encoding for mimo system |
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| CN101047417A (en) * | 2007-04-20 | 2007-10-03 | 哈尔滨工程大学 | Selection preprocess method for downlink link antenna of multi-user MIMO system |
| KR20080105953A (en) * | 2007-05-31 | 2008-12-04 | 한국전자통신연구원 | Apparatus and method for encoding for mimo system |
| CN101247208A (en) * | 2008-02-29 | 2008-08-20 | 中兴通讯股份有限公司 | Descending multi-user association space division multiplex signal transmitting and receiving method |
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