CN102055563A - Adaptive joint linear precoding method applicable to multi-base station coordination - Google Patents
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Abstract
The invention relates to an adaptive joint linear precoding method applicable to multi-base station coordination, belonging to the technical field of wireless communication. In the method, the multiple coordinative base stations form a coordination region; each coordinative base station acquires current channel status information from the coordinative base station to each user in the coordination region so as to obtain current channel matrixes; the coordinative base stations and signal leakage interference-to-noise ratios at the time of data transmission for the users are subjected to maximum processing to obtain anti-multiuser interference precoding matrixes; the equivalent channel matrixes of the users are subjected to singular value decomposition to obtain anti-multithread interference precoding matrixes and decoding matrixes of the users for all corporative base stations; power allocation factors of the users are obtained in accordance with the channel matrixes; and the precoding matrixes of all coordinative base stations in the coordinative region for the jth user are obtained. The method has the advantages of low complicity and less overhead, is easy to realize, can be used to reduce the error rate in the wireless communication and improve transmission performance of communication systems, and particularly is suitable for a coordinative multiple point (CoMP) system of the multi-base station coordination.
Description
Technical field
The present invention relates to a kind of adaptive combined linear pre-coding method that is applicable to multi-base station cooperative, belong to wireless communication technology field.
Background technology
In the LTE-Advance of identical networking system, interference among adjacent cells has limited the service quality and the throughput of Cell Edge User.For the availability of frequency spectrum of further raising system, improve the service quality and the throughput of Cell Edge User, must adopt correlation technique to reduce the interference of minizone effectively.Coordinate multipoint in the wireless communication field (Coordinative Multiple Point, hereinafter to be referred as CoMP) transmission technology is the technology that present LTE-Advanced has bright prospects, it can avoid or reduce presence of intercell interference effectively on the basis that keeps system high-frequency spectrum utilance as far as possible.The networking model that is based on BBU+RRU that the CoMP model is the most frequently used, be similar to the spaced antenna technology of knowing traditionally, 1 base station connects a plurality of antenna websites by radio frequency optical fiber (hereinafter to be referred as RoF), similar 1 the wireless remote unit of antenna website (hereinafter to be referred as RRU), and all Base-Band Processing still concentrate on the base station, form the Base Band Unit of concentrating (hereinafter to be referred as BBU).
CoMP is as improving the especially important means of cell edge throughput of cell throughout, technology mainly comprises two classes at present: interference coordination dispatching technique (Coordinated Scheduling, hereinafter to be referred as CoMP-CS) and combined signal treatment technology (Joint Processing is hereinafter to be referred as CoMP-JP).Wherein the combined signal treatment technology is by the collaboration communication of adjacent multiple spot, with virtual multiple-input and multiple-output (hereinafter to be referred as the MIMO) structure of the common formation of the user in the cooperation cell coverage, and then use existing multiuser MIMO detection technique that these users in collaboration are carried out sending uniting of signal and uniting reception, thereby reduce the interference of minizone, improve the throughput of Cell Edge User and the average throughput of system.
Under multi-base station cooperative, cooperative base station and number of users increase, antenna number increases thereupon, common-channel interference (comprising the interference of multi-user interference and data flow) becomes the major obstacle that obtains huge performance gain, and the CoMP system complexity of comparing over increases, and signaling, feedback overhead increase, many functional but precoding and decoding techniques that complexity is high, do very much as complexities such as DPC, THP, be not suitable for using.So the linear predictive coding and the decoding scheme of structure low complex degree can effectively reduce common-channel interference, elevator system performance gain under this background.
Make the signal to noise ratio maximum of each user's received signal based on the precoding design of maximum signal to noise ratio, but consider the influence of interference, systematic function is very poor when interference is strong.Block diagonalization (hereinafter to be referred as BD) can be eliminated multi-user interference, thereby multi-user downlink is decomposed into single subscriber channel of a plurality of independent parallels, but number of transmit antennas can not be less than the reception antenna number, and only is used for downlink transfer.Article is arranged by transmitter and receiver Combined Treatment, the BD method is improved, make antenna configuration more flexible, and it is more excellent than BD performance, but the design of transmitter precoding and receiver decoder needs repeatedly iterative computation, and complexity is higher, is not suitable for real system.MMSE ZF unite the channel of considering all users but not each user's channel, and restricted to antenna number, do not consider The noise simultaneously.Maximum signal is leaked interference-to-noise ratio (hereinafter to be referred as SLNR) as LTE-A candidate precoding technique, unite to consider to disturb and suppress and The noise, the restriction that can eliminate antenna dimension promotes performance simultaneously better, and the closed loop for pre-coding matrix is expressed the iterative process that does not need complexity, but require each user that identical transmitted power is arranged, and, have remaining multi-user interference with the matched filtering decoding.Do not consider the influence of base station end Antenna Correlation and each subscriber channel evaluated error in the original scheme to systematic function yet.Based on this, the SLNR performance is limited.Channel singular value (hereinafter to be referred as SVD) is decomposed the concrete feature of having considered each subscriber channel matrix, when making a start and receiving end can both obtain timely channel information the time, can realize very high average spectral efficiency (ase) based on the adaptive modulation technology that SVD decomposes, and be suitable in the provisional capital up and down of communication; Utilization is in conjunction with preliminary treatment and the reprocessing of SVD, and complexity is low, can effectively eliminate the influence that multi-user interference and multithread are disturbed.
Summary of the invention
The objective of the invention is to propose a kind of adaptive combined linear pre-coding method that is applicable to multi-base station cooperative, adopt multithread maximization SLNR transmission based on original SLNR scheme, greatly degree suppresses multi-user interference and noise effect; To each user, further adopt precoding of SVD decomposition computation and decoding matrix to eliminate multithread and disturb; And between the user, carry out dynamic power according to the channel matrix of different user and distribute.
The adaptive combined linear pre-coding method that is applicable to multi-base station cooperative that the present invention proposes may further comprise the steps:
(1) establishes B cooperative base station arranged in the cordless communication network, and constitute a collaboration region, K user arranged in the collaboration region, and each cooperative base station is obtained this cooperative base station each user's to the collaboration region current channel condition information respectively, obtains the current channel matrix H of all cooperative base station to j user
j, wherein j be 1,2 ... K, then all cooperative base station to all users' channel matrix are
T is matrix transpose;
(2) all cooperative base station in the collaboration region and j user signal leakage interference-to-noise ratio SLNR when the transfer of data is maximized processing, obtain the pre-coding matrix F that j user disturbs the resisting multi-user of all cooperative base station
User, j, detailed process is as follows: according to channel matrix H
jWith the pre-coding matrix F that sets
User, j, the expression formula that obtains signal leakage interference-to-noise ratio SLNR is
N wherein
jBe the antenna number of user j receiving terminal, σ
2Be the independent variance of the Gaussian noise factor again, for greater than zero positive number, by finding the solution F
User, j=argmaxSLNR
j, obtain matrix
Characteristic value, with characteristic value by the descending result be λ
1〉=λ
2〉=... 〉=λ
m〉=... 〉=λ
M〉=0, M is not less than zero characteristic value number, then j the pre-coding matrix F that the subscriber equipment resisting multi-user disturbs
User, jFor in the ranking results with the corresponding characteristic vector of a preceding m characteristic value, m=N
j
(3) all cooperative base station in the collaboration region are carried out singular value decomposition to j user's equivalent channel matrix, obtain j user pre-coding matrix F is disturbed in the anti-multithread of all cooperative base station
Stream, jWith decoding matrix G
j, detailed process is as follows: the equivalent channel matrix H ' that defines j user
j=H
jF
User, j, to H '
jCarry out singular value decomposition, obtain H '
j=U '
jΛ '
j 1/2V '
j H, U ' wherein
jAnd V '
jBe respectively H '
jLeft and right sides singular value matrix, Λ '
j 1/2=diag[Λ '
1, j 1/2, Λ '
2, j 1/2..., Λ '
S, j 1/2], then j subscriber equipment disturbs pre-coding matrix F to the anti-multithread of all cooperative base station
Stream, jFor: F
Stream, j=[V '
j H]
+, decoding matrix G
jFor: G
j=U '
j H
(4) according to the channel matrix H of step (1)
j, all cooperative base station to j user's the power division factor are
Wherein P is the total emission power of cooperative base station;
(5) according to the result of calculation in step (2), (3) and (4), obtaining all cooperative base station in the collaboration region is T to j user's pre-coding matrix
i=F
User, jF
Stream, jP
j, j=1,2 ... K
The adaptive combined linear pre-coding method that is applicable to multi-base station cooperative that the present invention proposes, its advantage is:
1, the self adaptation multi-base station cooperative associating linear pre-coding method of the present invention's proposition adopts svd algorithm and the linear combined precoding of SLNR algorithm design, compares with existing Nonlinear Design, complexity is low, it is few to take expense, is easy to realize, is highly suitable for the CoMP system of multi-base station cooperative.
2, method for precoding of the present invention, in the combined signal of cooperative base station is handled that traditional precoding design back is auxiliary with svd algorithm, further reducing multithread disturbs, and combine with each user's transmit power assignment again, the error rate in the radio communication is reduced, improved the transmission performance of communication system.
3, method for precoding of the present invention has considered that the dynamic power between the user distributes, and has guaranteed the overall performance of the fairness and the system of each user performance.
Description of drawings
Fig. 1 is the correspondence schematic diagram between each cooperative base station and the subscriber equipment in the inventive method.
Fig. 2 is the process principle figure of the inventive method.
Embodiment
The adaptive combined linear pre-coding method that is applicable to multi-base station cooperative that the present invention proposes, wherein the correspondence schematic diagram between each cooperative base station and the subscriber equipment as shown in Figure 1, its FB(flow block) may further comprise the steps as shown in Figure 2:
(1) establishes B cooperative base station arranged in the cordless communication network, and constitute a collaboration region, K user arranged in the collaboration region, each cooperative base station is obtained this cooperative base station each user's to the collaboration region current accurate channel condition information respectively, obtains the current channel matrix H of all cooperative base station to j user
j, wherein j be 1,2 ... K, then all cooperative base station to all users' channel matrix are
T is matrix transpose;
(2) all cooperative base station in the collaboration region and j user signal leakage interference-to-noise ratio SLNR when the transfer of data is maximized processing, obtain the pre-coding matrix F that j user disturbs the resisting multi-user of all cooperative base station
User, j, detailed process is as follows: according to channel matrix H
jWith the pre-coding matrix F that sets
User, j, the expression formula that obtains signal leakage interference-to-noise ratio SLNR is
N wherein
jBe the antenna number of user j receiving terminal, σ
2Be the independent variance of the Gaussian noise factor again, || H
jF
User, j||
2Represent j user's desirable signal power, N
jσ
2The noise power of representing j user to receive, || H
iF
User, j||
2Represent the leakage power of j user to i user.This formula can further be expressed as
By finding the solution F
User, j=argmaxSLNR
j, obtain matrix
Characteristic value by the descending result be λ
1〉=λ
2〉=... 〉=λ
m〉=... 〉=λ
M〉=0, M is not less than zero characteristic value number, then j the pre-coding matrix F that the subscriber equipment resisting multi-user disturbs
User, jFor in the ranking results with the corresponding characteristic vector of a preceding m characteristic value, m=N
j
(3) all cooperative base station in the collaboration region are carried out singular value decomposition to j user's equivalent channel matrix, obtain j user pre-coding matrix F is disturbed in the anti-multithread of all cooperative base station
Stream, jWith decoding matrix G
j, detailed process is as follows: the equivalent channel matrix H ' that defines j user
j=H
jF
User, j, to H '
jCarry out singular value decomposition, obtain H '
j=U '
jΛ '
j 1/2V '
j H, U ' wherein
jAnd V '
jBe respectively H '
jLeft and right sides singular value matrix, Λ '
j 1/2=diag[Λ '
1, j 1/2, Λ '
2, j 1/2..., Λ '
S, j 1/2], then j subscriber equipment disturbs pre-coding matrix F to the anti-multithread of all cooperative base station
Stream, jFor: F
Stream, j=[V '
j H]
+, decoding matrix G
jFor: G
j=U '
j H
J user from the signal that all cooperative base station receive is:
Wherein, d
jBe the signal that all cooperative base station send j user, d through precoding
j=T
jx
j, x
jBe j the needed data of user, T
jBe j user's pre-coding matrix, T
j=F
User, jF
Stream, jP
jConstitute F by three matrixes
User, jBe the pre-coding matrix that j user's resisting multi-user disturbs, F
Stream, jBe j the pre-coding matrix that the anti-multithread of user is disturbed, P
jBe default power division matrix, n to j user
jBeing noise vector, is an independent identically distributed multiple Gaussian random variable, and obedience CN (0, σ
2), G
jIt is j user's decoding matrix.Then according to the pre-coding matrix F that tries to achieve in the step (2)
User, j, j user from the signal transition that all cooperative base station receive is:
y
j=G
jH '
jF
Stream, jP
jx
j+ G
j(M
j+ n
j), wherein
Be the interfering data that j user receives from other users of collaboration region,
According to the associating pre-coding matrix F that tries to achieve in the above-mentioned steps (3)
Stream, j=[V '
j H]
+With decoding matrix G
j=U '
j H, j user from the expression formula of the signal that all cooperative base station receive is:
y
j＝U′
j HH′
j[V′
j H]+P
jx
j+U′
j H(M
j+n
j)＝Λ′
j 1/2P
jx
j+U′
j H(M
j+n
j)
(4) according to the channel matrix H of step (1)
j, all cooperative base station to j user's the power division factor are
Wherein P is the total emission power of cooperative base station;
(5) according to the result of calculation in step (2), (3) and (4), obtaining all cooperative base station in the collaboration region is T to j user's pre-coding matrix
j=F
User, jF
Steam, jP
j, j=1,2 ... K.
Claims (1)
1. adaptive combined linear pre-coding method that is applicable to multi-base station cooperative is characterized in that this method may further comprise the steps:
(1) establishes B cooperative base station arranged in the cordless communication network, and constitute a collaboration region, K user arranged in the collaboration region, and each cooperative base station is obtained this cooperative base station each user's to the collaboration region current channel condition information respectively, obtains the current channel matrix H of all cooperative base station to j user
j, wherein j be 1,2 ... K, then all cooperative base station to all users' channel matrix are
T is matrix transpose;
(2) all cooperative base station in the collaboration region and j user signal leakage interference-to-noise ratio SLNR when the transfer of data is maximized processing, obtain the pre-coding matrix F that j user disturbs the resisting multi-user of all cooperative base station
User, j, detailed process is as follows: according to channel matrix H
jWith the pre-coding matrix F that sets
User, j, the expression formula that obtains signal leakage interference-to-noise ratio SLNR is
N wherein
jBe the antenna number of user j receiving terminal, σ
2Be the independent variance of the Gaussian noise factor again, for greater than zero positive number, by finding the solution F
User, j=argmaxSLNR
j, obtain matrix
Characteristic value, with characteristic value by the descending result be λ
1〉=λ
2〉=... 〉=λ
m〉=... 〉=λ
M〉=0, M is not less than zero characteristic value number, then j the pre-coding matrix F that the subscriber equipment resisting multi-user disturbs
User, jFor in the ranking results with the corresponding characteristic vector of a preceding m characteristic value, m=N
j
(3) all cooperative base station in the collaboration region are carried out singular value decomposition to j user's equivalent channel matrix, obtain j user pre-coding matrix F is disturbed in the anti-multithread of all cooperative base station
Stream, jWith decoding matrix G
j, detailed process is as follows: the equivalent channel matrix H ' that defines j user
j=H
jF
User, j, to H '
jCarry out singular value decomposition, obtain H '
j=U '
jΛ '
j 1/2V '
j H, U ' wherein
jAnd V '
jBe respectively H '
jLeft and right sides singular value matrix, Λ '
j 1/2=diag[Λ '
1, j 1/2, Λ '
2, j 1/2..., Λ '
S, j 1/2], then j subscriber equipment disturbs pre-coding matrix F to the anti-multithread of all cooperative base station
Stream, jFor: F
Stream, j=[V '
j H]
+, decoding matrix G
jFor: G
j=U '
j H
(4) according to the channel matrix H of step (1)
j, all cooperative base station to j user's the power division factor are
(5) according to the result of calculation in step (2), (3) and (4), obtaining all cooperative base station in the collaboration region is T to j user's pre-coding matrix
j=F
User, jF
Stream, jP
j, j=1,2 ... K.
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| CN102412933B (en) * | 2011-11-30 | 2014-10-15 | 北京邮电大学 | Precoding method and matrix generating device of CoMP (coordinated multi-point) multiple-user MIMO (multiple-input multi output) system |
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| WO2014190461A1 (en) * | 2013-05-27 | 2014-12-04 | 华为技术有限公司 | Coordinated multi-point transmission method and device |
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