CN102255706A - Anti-interval-interference base station downlink pre-coding method for multi-cell MIMO (Multiple-Input Multiple-Output) system - Google Patents

Anti-interval-interference base station downlink pre-coding method for multi-cell MIMO (Multiple-Input Multiple-Output) system Download PDF

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CN102255706A
CN102255706A CN2011102004446A CN201110200444A CN102255706A CN 102255706 A CN102255706 A CN 102255706A CN 2011102004446 A CN2011102004446 A CN 2011102004446A CN 201110200444 A CN201110200444 A CN 201110200444A CN 102255706 A CN102255706 A CN 102255706A
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曾浩
袁昂飞
刘玲
黄扬帆
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Chongqing University
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Abstract

The invention discloses an anti-interval-interference base station downlink pre-coding method for a multi-cell MIMO (Multiple-Input Multiple-Output) system. The method comprises the following implementation steps of: 1, positioning a cell user by using a GPS (Global Positioning System) and judging whether the cell user is a central user or an edge user; 2, if the cell user is a central user, estimating channel state information (CSI) and feeding the CSI back to a base station; 3, if the cell user is an edge user, estimating CSI relative to a local cell base station and an interference base station, and feeding back the CSI to the local cell base station; 4, transmitting the CSI of the edge user between the base stations; and 5, computing a pre-coding matrix of the user with a zero-forcing pre-coding method on the base station with cell interference. According to the method, the data exchange amount between the base stations can be reduced, the accuracy of the CSI can be ensured, and realization of cell synchronization is facilitated; and the method can be applied to a fourth generation mobile communication system.

Description

A kind of anti-interval base station down method for precoding that disturbs in many cell mimos system
Technical field
The present invention relates to wireless communication field, be specifically related to base station down method for precoding in many cell mimos system.
Background technology
In following the 4th third-generation mobile communication, cell base station and user will adopt multiple-input, multiple-output (Multiple Input Multiple Output, the MIMO) technology based on a plurality of antennas.Simultaneously, owing to adopt same spectrum resources between neighbor cell, the user who then is positioned at the center cell edge can be subjected to the interference that neighbor cell base station transmits, and is called interval the interference.It is to adopt base station down precoding mode that tradition overcomes the interval method of disturbing, specifically be exactly channel condition information (the Channel State Information that the center cell base station at first obtains this sub-district and all users of neighbor cell, CSI), then all these with being considered as this community user per family, carry out precoding.Such mode need be transmitted all users' CSI between the base station, because transmitted data amount is too big, can causes transmission delay, thereby cause CSI information inaccurate, also be not easy to realize between different districts synchronously.In fact, there is influence in interval only the interference to Cell Edge User, for the nearer central user in distance base station, only is equivalent to noise.Therefore, the sub-district precoding can utilize the difference of edge customer and central user, improves the base station down method for precoding.
Summary of the invention
In order to overcome in the 4th third-generation mobile communication, traditional base station downlink precoding method need transmit multi-user CSI between cell base station and the time-delay that causes is excessive, the minizone is the problem of difficulty synchronously, adopts a kind of anti-interval base station down method for precoding that disturbs in many cell mimos of the present invention system.
A kind of anti-interval base station down method for precoding that disturbs in many cell mimos system, the system that this method constitutes at I sub-district, I=2,3, ..., the base station is positioned at center of housing estate, has M antenna, M=1,2 ..., each sub-district has K user, K=1,2 ..., the user has N antenna, N=1,2, ..., implementation step is: the first step, system at first are provided with a reference radius R Th, k user of i sub-district be by localization method then, i=1 ..., I, k=1 ..., K judges from the position of sub-district, thus calculate cell base station apart from d IkIf, d Ik≤ R Th, this user is labeled as central user, if d Ik＞R Th, this user is labeled as edge customer, and simultaneously according to positional information, it is nearest to judge j adjacent base station of distance, wherein j ≠ i.In second step, for k user of i sub-district, if it is a central user, then this user estimates its base station down channel condition information H with respect to i sub-district Ik, and feed back to the base station of i sub-district.In the 3rd step, for k user of i sub-district, if it is an edge customer, j adjacent base station of distance is nearest, and then this user estimates its downlink channel condition information H with respect to i cell base station Ik, estimate its downlink channel condition information simultaneously with respect to j cell base station
Figure BSA00000539596900021
And H IkWith
Figure BSA00000539596900022
Feed back to the base station of i sub-district simultaneously.In the 4th step, i cell base station is by connecting between the base station, the channel condition information of this Cell Edge User
Figure BSA00000539596900023
Pass to j base station, simultaneously, reception passes to the edge customer channel condition information of oneself from adjacent l cell base station
Figure BSA00000539596900024
For
Figure BSA00000539596900025
L ∈ 1 ..., and i-1, i+1 ..., I}, k ∈ 1 ..., K}, all neighbor cells Use symbol
Figure BSA00000539596900027
Expression.In the 5th step, i sub-district is according to all K of this sub-district subscriber channel state information H I1..., H IK, and all neighbor cells pass to the edge customer channel condition information of oneself
Figure BSA00000539596900028
Adopt the ZF method for precoding, calculate k user's pre-coding matrix T Ik, realize precoding.
In the said method first step, in the base station of i sub-district and this sub-district k broadcast mode is passed through in the base station, and positional information is informed the user with obtaining positional information by self GPS per family, the user then utilizes base station and self-position information, calculates base station distance.
The 5th step of said method is a kind of linear predictive coding mode, the corresponding pre-coding matrix of each community user, and the specific implementation step is: the first step makes up matrix C ik = [ H i 1 T , . . . , H ik - 1 T , H ik + 1 T , . . . , H iK T , ( H 1 i ) T , . . . , ( H P i ) T ] T , Symbol [] TThe expression transposition carries out singular value decomposition to this matrix and obtains, Wherein
Figure BSA000005395969000211
The matrix that constitutes for the unusual vector of non-zero singular value correspondence,
Figure BSA00000539596900031
Be the matrix of the unusual vector formation of zero singular value correspondence, symbol [] HThe expression conjugate transpose.In second step, calculate
Figure BSA00000539596900032
Matrix S IkCarry out singular value decomposition and obtain, Wherein
Figure BSA00000539596900034
The matrix that constitutes for the unusual vector of non-zero singular value correspondence,
Figure BSA00000539596900035
It is the matrix of the unusual vector formation of zero singular value correspondence.In the 3rd step, k user's pre-coding matrix is in i the sub-district
Figure BSA00000539596900036
The beneficial effect of patent of the present invention is to distinguish edge customer and central user by customer position information, only needs to transmit the CSI of edge customer between neighbor cell base station, thereby reduces volume of transmitted data, overcomes time-delay and minizone stationary problem.The present invention can be applied to adopt in the 4th third-generation mobile communication system of MIMO technology.
Description of drawings
Fig. 1 is many sub-districts and multi-user's location diagram.
Fig. 2 is the workflow diagram that method for precoding is realized in user and base station in the same sub-district.
Embodiment
Supposing the system has only I=2 sub-district, is respectively Cell1 and Cell2.Each sub-district is a hexagon, and base station B1 and B2 are positioned at center of housing estate, has M antenna.Number of users is K=2 in each sub-district, has N antenna.The user is U11 and U12 in the Cell1, and the two all is a central user, and the user is U21 and U22 in the Cell2, and wherein U21 is an edge customer, and U22 is a central user, as shown in Figure 1.Base station and user have the GPS positioning function.Obviously, base station B1 transmits and can produce interval the interference to U21, by the precoding of B1, can suppress this interval and disturb.The method performing step is specially with reference to figure 2:
The first step, B1 and B2 utilize GPS to obtain the positional information of oneself, and exchange mutually, pass to the user by broadcast mode again.The user also utilizes GPS to obtain the positional information of oneself, and by base station and the positional information of oneself, can calculate the distance of this cell base station and the distance of neighbor cell base station.The reference radius R definite according to system Th, because d 12＜R Th, d 11＜R Th, U11 and U12 are central user, do not have interval interference problem.Simultaneously, because d 22＜R Th, U22 also is a central user, but d 21＞R Th, U21 is an edge customer.As can be seen from Figure 1, in all neighbor cells of Cell2,,, need carry out the interval by the B1 precoding and disturb inhibition so U21 can be subjected to the interval interference that B1 produces because U21 is nearest apart from B1.
In second step, each user estimates the CSI of oneself.For U11, U12, U22 because it is central user, only needs to estimate the CSI with respect to this cell base station, i.e. H 11, H 12, feed back to B1, h 22Feed back to B2.
In the 3rd step, for edge customer U21, it not only will estimate the CSI with respect to B2, also will estimate the CSI with respect to B1, and all feeds back to B2, i.e. H 21,
Figure BSA00000539596900041
In the 4th step, by the wired connection between B1 and B2, B2 is the channel information of edge customer U21
Figure BSA00000539596900042
Pass to B1.
In the 5th step, B1 is according to H 11, H 12,
Figure BSA00000539596900043
Calculate the pre-coding matrix T of U11 11Pre-coding matrix T with U12 12Concrete computational methods are: the first step makes up matrix
Figure BSA00000539596900044
This matrix is carried out singular value decomposition obtains,
Figure BSA00000539596900045
Wherein
Figure BSA00000539596900046
The matrix that constitutes for the unusual vector of non-zero singular value correspondence,
Figure BSA00000539596900047
It is the matrix of the unusual vector formation of zero singular value correspondence.In second step, calculate
Figure BSA00000539596900048
Matrix S 11Carry out singular value decomposition and obtain, Wherein
Figure BSA000005395969000410
The matrix that constitutes for the unusual vector of non-zero singular value correspondence, It is the matrix of the unusual vector formation of zero singular value correspondence.In the 3rd step, U11 user's pre-coding matrix is in the Cell1 sub-district
Figure BSA000005395969000412
Same step can be calculated T 12, the first step makes up matrix
Figure BSA000005395969000413
This matrix is carried out singular value decomposition obtains,
Figure BSA000005395969000414
Wherein
Figure BSA000005395969000415
The matrix that constitutes for the unusual vector of non-zero singular value correspondence, It is the matrix of the unusual vector formation of zero singular value correspondence.In second step, calculate
Figure BSA000005395969000417
Matrix S 12Carry out singular value decomposition and obtain,
Figure BSA000005395969000418
Wherein The matrix that constitutes for the unusual vector of non-zero singular value correspondence,
Figure BSA000005395969000420
It is the matrix of the unusual vector formation of zero singular value correspondence.In the 3rd step, U12 user's pre-coding matrix is in the Cell1 sub-district T 12 = V 12 ( 0 ) B 12 ( 1 ) .
The present invention is by base station and user position information, distinguish central user and edge customer, only the CSI of edge customer is passed to neighbor cell, with respect to conventional method, reduced the volume of transmitted data between the base station, thereby reduced time delay, helped guaranteeing the correctness of CSI, helped also realizing that the minizone is synchronous.The present invention has using value in the 4th third-generation mobile communication.

Claims (3)

1. a kind of anti-interval base station down method for precoding that disturbs in many cell mimos system, this method is at the system of I sub-district formation, I=2,3, ..., the base station is positioned at center of housing estate, has M antenna, M=1,2 ..., each sub-district has K user, K=1,2, ..., the user has N antenna, N=1,2 ..., implementation step is:
The first step, system at first are provided with a reference radius R Th, k user of i sub-district be by localization method then, i=1 ..., I, k=1 ..., K judges from the position of sub-district, thus calculate cell base station apart from d IkIf, d Ik≤ R Th, this user is labeled as central user, if d Ik＞R Th, this user is labeled as edge customer, and simultaneously according to positional information, it is nearest to judge j adjacent base station of distance, wherein j ≠ i;
In second step, for k user of i sub-district, if it is a central user, then this user estimates its base station down channel condition information H with respect to i sub-district Ik, and feed back to the base station of i sub-district;
In the 3rd step, for k user of i sub-district, if it is an edge customer, j adjacent base station of distance is nearest, and then this user estimates its downlink channel condition information H with respect to i cell base station Ik, estimate its downlink channel condition information simultaneously with respect to j cell base station
Figure FSA00000539596800011
And H IkWith
Figure FSA00000539596800012
Feed back to the base station of i sub-district simultaneously;
In the 4th step, i cell base station is by the connection between the base station, the channel condition information of this Cell Edge User
Figure FSA00000539596800013
Pass to j base station, simultaneously, reception passes to the edge customer channel condition information that is positioned at l sub-district of oneself from adjacent l cell base station
Figure FSA00000539596800014
For
Figure FSA00000539596800015
L ∈ 1 ..., and i-1, i+1 ..., I}, k ∈ 1 ..., K}, all neighbor cells
Figure FSA00000539596800016
Use symbol Expression;
In the 5th step, i sub-district is according to all K of this sub-district subscriber channel state information H I1..., H IK, and all neighbor cells pass to the edge customer channel condition information of oneself
Figure FSA00000539596800021
Adopt the ZF method for precoding, calculate k user's pre-coding matrix T Ik, realize precoding.
2. according to a kind of anti-interval base station down method for precoding that disturbs in the described many cell mimos of claim 1 system, it is characterized in that: in the described first step, in the base station of i sub-district and this sub-district k with obtaining positional information by self GPS per family, broadcast mode is passed through in the base station, positional information is informed the user, the user then utilizes base station and self-position information, calculates base station distance.
3. according to a kind of anti-interval base station down method for precoding that disturbs in the described many cell mimos of claim 1 system, it is characterized in that described the 5th step performing step is:
The first step makes up matrix C ik = [ H i 1 T , . . . , H ik - 1 T , H ik + 1 T , . . . , H iK T , ( H 1 i ) T , . . . , ( H P i ) T ] T , Symbol [] TThe expression transposition carries out singular value decomposition to this matrix and obtains,
Figure FSA00000539596800023
Wherein
Figure FSA00000539596800024
The matrix that constitutes for the unusual vector of non-zero singular value correspondence, Be the matrix of the unusual vector formation of zero singular value correspondence, symbol [] HThe expression conjugate transpose;
In second step, calculate
Figure FSA00000539596800026
Matrix S IkCarry out singular value decomposition and obtain,
Figure FSA00000539596800027
Wherein
Figure FSA00000539596800028
The matrix that constitutes for the unusual vector of non-zero singular value correspondence,
Figure FSA00000539596800029
It is the matrix of the unusual vector formation of zero singular value correspondence;
In the 3rd step, k user's pre-coding matrix is in i the sub-district
Figure FSA000005395968000210
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