CN103188002A - Multi-antenna multi-user distribution type system wave velocity forming strategy - Google Patents

Multi-antenna multi-user distribution type system wave velocity forming strategy Download PDF

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CN103188002A
CN103188002A CN2013100255010A CN201310025501A CN103188002A CN 103188002 A CN103188002 A CN 103188002A CN 2013100255010 A CN2013100255010 A CN 2013100255010A CN 201310025501 A CN201310025501 A CN 201310025501A CN 103188002 A CN103188002 A CN 103188002A
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optimal
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CN103188002B (en
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赵睿
李菊芳
郭荣新
林志丕
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Weihai High Tech Park Operation Management Co ltd
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XIAMEN LANDI ELECTRONIC TECHNOLOGY Co Ltd
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Abstract

The invention discloses a multi-antenna multi-user distribution type system wave velocity forming strategy. The multi-antenna multi-user distribution type system wave velocity forming strategy comprises the following steps: firstly, a base station A selects a maximal signal/noise ratio from receiving signal/ noise ratios fed by an edge user in a service area, i.e., an optimal user i* is selected; secondly, the user selects the optimal codebook f1, opt from a random codebook according to a minimum distance criterion, and feeds back mark numbers of the optimal codebook to the base station A; thirdly, the user i* estimates channel condition information between the mark numbers and a base station B, determines wave velocity forming vector f2, opt of the base station B for minimizing honeycomb interferences and feeds back the wave velocity forming vector to the base station A; fourthly, the base station A sends the wave velocity forming vector of the base station B sent by the optimal user i* to the base station B; and finally, the base station B selects the best user i* from the signal to noise ratios fed by the user in the service area for servicing. The multi-antenna multi-user distribution type system wave velocity forming strategy can be used for effectively minimizing the interferences, relieving the control information interaction among the base stations and obtaining obvious performance grains with lower complexity.

Description

A kind of multi-antenna multi-user distributed system velocity of wave is shaped tactful
The skill technical field
The present invention relates to mobile cellular communication system field, particularly a kind of multi-antenna multi-user distributed collaboration wave beam is shaped tactful.
Background technology
In traditional network MIMO transmission, a plurality of collaborative base stations are shared data message mutually and are constituted a super base station, and this moment, interference channel just changed the MIMO broadcast channel into, can eliminate inter-cell interference fully, and this technology becomes " Combined Treatment (JP) ".Between cooperative base station, use dirty paper code (DPC) to carry out JP, can obtain the theoretical maximum capacity of many honeycombs MIMO down link; Except DPC, close-to zero beam is shaped and based on the game theory optimisation technique that time-frequency is dispatched, also can be used for eliminating ICI in many cellular transmission system; The linear block diagonalization is eliminated ICI by utilizing linear ZF technical construction base station to user's piece diagonal angle efficient channel.Yet above JP strategy needs reliable high-speed backbone to connect and is used for sharing data message and channel condition information (CSI), and computation complexity is difficult to realize in real system than higher.
In addition, the MIMO technology has also been brought serious presence of intercell interference when improving spectrum efficiency, because the user is subjected to shadow fading in the wireless channel in the cellular cell, multipath fading, the difference of factor affecting degree such as interference, user communication quality can be different in the residential quarter, generally speaking, in the cellular cell away from the user communication quality of base station not as good as near the user the base station, particularly be near user's the signal cell edge and also can be subjected to interference from its neighbor cell signal, its serious interference has influenced user communication quality, even deterioration communication environment, so at edge customer, how to reduce presence of intercell interference, improve the focus that its speed becomes research.
Summary of the invention
Main purpose of the present invention is to overcome near the edge customer communication quality user not as good as the base station in the prior art cellular cell, and also can be subjected to the shortcoming from the interference of its neighbor cell signal, propose a kind of raising edge cell user's communications quality, reduce the multi-antenna multi-user distributed collaboration wave beam shaping strategy that neighbor cell signal disturbs.
The present invention adopts following technical scheme:
A kind of multi-antenna multi-user distributed collaboration wave beam is shaped tactful, adjacent two cellular cells that are used for multi-user's multiple-input-multiple-output communication system, these adjacent two honeycombs are equipped with a multi-antenna base station and a plurality of edge customer, set this two base station and be respectively base station A and base station B, the user who is in this base station A and base station B coverage edge is edge customer, and it is characterized in that: each base station all disposes N tThe root antenna, each is with disposing N per family rThe root antenna, edge customer, base station A and base station B all use identical random code book, and the code word of code book is beamforming vectors, specifically comprises the steps:
1) base station A sends any one velocity of wave shaping vector, and pilot signal transmitted; Edge customer receives signal and feeds back himself information, and base station A selects optimal user i according to the edge customer feedack *Serve;
2) optimal user i *From its random code book, select optimal codes to determine the beamforming vectors information of base station A and feed back to base station A; Then, optimal user i *Estimate the channel status between itself and base station B and determine to make two inter-cell interference minimums base station B velocity of wave shaping vector information and it is fed back to base station A;
3) base station A is with optimal user i *The velocity of wave shaping vector information of the base station B that sends sends to base station B;
4) base station B sends beamforming vectors, and pilot signal transmitted; Edge customer receives signal and feeds back himself information, and the information of base station B estimated edge user feedback is selected optimal user j *Serve.
Further, in step 1), edge customer receives signal and estimates its channel matrix H iAnd signal to noise ratio, adopt MRC to merge its received signal to noise ratio of maximization, self signal to noise ratio is fed back to base station A.
Further, in step 1), base station A chooses the user of signal to noise ratio maximum of edge customer feedback as optimal user i *Serve.
Further, edge customer, base station A and base station B all use identical random code book, and this random code book is that random vector quantizes code book, is 1 N by N mould tThe dimension unit vector is formed, and N is code word number, and the code word in the code book is beamforming vectors
Figure BDA00002768367500032
, n ∈ [1, N].
Further, in step 2) in, this optimal user i *Selecting a code word according to minimal distance principle from its random code book is velocity of wave shaping vector f 1, opt, make this velocity of wave shaping vector f 1, optWith channel matrix vector H iThe mould value maximum of product, this code word is optimal codes.
Further, edge customer, base station A and base station B all unify numbering to the code word of random code book, and the code fetch numbering that every column vector label is this column vector in this is the i.e. numbering of this code word also, in step 2) edge customer i *The numbering of described optimal codes correspondence is sent to base station A.
Further, in step 2) in optimal user i *Estimate the channel matrix G of itself and base station B i, and according to this channel matrix G iWith optimal user i in the A of base station *MRC merge vector
Figure BDA00002768367500033
Determine to make the beamforming vectors f that disturbs minimum base station B 2, opt, concrete computing formula is
Figure BDA00002768367500031
And optimal user i *Also with this velocity of wave shaping vector f 2, optThe numbering of corresponding code word sends to base station A.
Further, in step 3) base station A with the beamforming vectors f of base station B 2, optThe numbering of corresponding code word sends to base station B.
Further, base station B sends beamforming vectors f in step 4) 2, optAnd pilot signal, edge customer receives signal and estimates its channel matrix H jAnd signal to noise ratio, adopt MRC to merge its received signal to noise ratio of maximization, self signal to noise ratio is fed back to base station B, base station B chooses the user of signal to noise ratio maximum of edge customer feedback as optimal user j *Serve
By the above-mentioned description of this invention as can be known, compared with prior art, the present invention has following beneficial effect:
The invention provides a kind of low complex degree distributed collaboration wave beam shaping strategy, can effectively make minimum interference, can alleviate the mutual burden of control information between the base station simultaneously, obtain obvious performance gain with lower complexity.The rate capability of transmission policy of the present invention is better than the transmission policy that existing interference is known and disturb unknown wave beam to be shaped, and works as N t=N r=2, δ=0.5, in the honeycomb 1 in number of users and the honeycomb 2 number of users be at 20 o'clock, be under 5 the situation in number of bits of feedback, and disturb the rate capability gain that strategy is compared about 2bps that is shaped of known wave beam.Thereby as can be seen, transmission policy of the present invention has obtained obvious performance gain with lower complexity.When fixing number of bits of feedback is 4, in the honeycomb 1 in number of users and the honeycomb 2 number of users be 20, δ=0.5 o'clock, the speed of transmission policy of the present invention is along with N t, N rIncrease and increase, the concurrent present antenna number increase of antenna number more after a little while is obvious to the lifting ratio antenna number of performance.Work as fix N t=N r=2, δ=0.5 o'clock, its speed increases along with increasing of number of users, and multi-user diversity gain is obvious, and speed increases along with the increase of number of bits of feedback.
Description of drawings
Fig. 1 is the schematic diagram of adjacent two honeycombs of the present invention;
Fig. 2 is fundamental diagram of the present invention;
Fig. 3 is the experiment effect figure of transmission policy of the present invention and the contrast of other transmission policys;
Fig. 4 gets different N for the present invention t, N rThe experiment effect figure of value;
Fig. 5 is transmission policy of the present invention and other transmission policys experiment effect figure under the different user number.
Embodiment
Below the invention will be further described by embodiment.
With reference to Fig. 1, Fig. 2, a kind of multi-antenna multi-user distributed collaboration wave beam is shaped tactful, adjacent two cellular cells that are used for multi-user's multiple-input-multiple-output communication system, these adjacent two honeycombs are honeycomb 1 and honeycomb 2, this two honeycomb is equipped with a multi-antenna base station and a plurality of edge customer, each base station at one time/frequency resource in the service user.Set this two base station and be respectively base station A and base station B, the user who is in this base station A and base station B coverage edge is edge customer, and each base station all disposes N tThe root antenna, each is with disposing N per family rThe root antenna, edge customer, base station A and base station B all use identical random code book, and this random code book is that random vector quantizes code book, and the code word of code book is beamforming vectors
Figure BDA00002768367500051
Be 1 N by N mould tThe dimension unit vector is formed, and N is code word number, n ∈ [1, N].Edge customer, base station A and base station B all unify numbering to the code word of random code book, and the code fetch numbering that every column vector label is this column vector in this is the i.e. numbering of this code word also.
Specifically comprise the steps:
1) base station A sends any one velocity of wave shaping vector, and pilot signal transmitted; Edge customer receives signal and estimates its channel matrix H iAnd signal to noise ratio, adopt MRC to merge its received signal to noise ratio of maximization, self signal to noise ratio is fed back to base station A, choose the user of signal to noise ratio maximum of edge customer feedback as optimal user i *Serve.
2) this optimal user i *Selecting a code word according to minimal distance principle from its random code book is velocity of wave shaping vector f 1, opt, make this velocity of wave shaping vector f 1, optWith channel matrix vector H iThe mould value maximum of product, this code word is optimal codes, and concrete formula is Edge customer i *The numbering of this optimal codes correspondence is sent to base station A.Also exist additive method to select code word, but the present invention adopt the minimum distance criterion mode.
Then, optimal user i *Estimate the channel matrix of itself and base station B
Figure BDA00002768367500058
, and according to this channel matrix
Figure BDA00002768367500059
With optimal user i in the A of base station *MRC merge vector
Figure BDA000027683675000510
Determine to make the beamforming vectors f that disturbs minimum base station B 2, opt, concrete computing formula is
Figure BDA00002768367500053
And optimal user i *Also with this velocity of wave shaping vector f 2, optThe numbering of corresponding code word sends to base station A.
Concrete, f 2 , opt = arg min f ∈ { f - n } n = 1 N | W i * H G i * f | 2 = arg min f ∈ { f - n } n = 1 N | u i * 1 H G i * f | 2 , Wherein
Figure BDA00002768367500055
Be optimal service user i in the A of base station *MRC merge vector, we are to user i *Channel matrix
Figure BDA000027683675000511
Carrying out SVD decomposes:
Figure BDA000027683675000512
Wherein
Figure BDA00002768367500056
Figure BDA000027683675000513
Be the left singular vector corresponding to eigenvalue of maximum, so
Figure BDA000027683675000514
Corresponding equivalent channel is
Figure BDA00002768367500057
3) base station A is with the beamforming vectors f of base station B 2, optThe numbering of corresponding code word sends to base station B.
4) base station B sends beamforming vectors f 2, optAnd pilot signal, edge customer receives signal and estimates its channel matrix H jAnd signal to noise ratio, adopt MRC to merge its received signal to noise ratio of maximization, self signal to noise ratio is fed back to base station B, base station B chooses the user of signal to noise ratio maximum of edge customer feedback as optimal user j *Serve.
In like manner, optimal user j *Estimate the channel matrix of itself and base station A
Figure BDA00002768367500062
, and according to this channel matrix
Figure BDA00002768367500063
With optimal user j in the B of base station *MRC merge vector
Figure BDA00002768367500061
Determine to make the beamforming vectors that disturbs minimum base station A, and the corresponding codeword number of this velocity of wave shaping vector is sent to base station B, base station B sends to base station A with this codeword number.
The rate capability of transmission policy of the present invention is better than the transmission policy that existing interference is known and disturb unknown wave beam to be shaped, and with reference to Fig. 3, works as N t=N r=2, δ=0.5, among the A of base station among number of users and the base station B number of users be at 20 o'clock, be under 5 the situation in number of bits of feedback, and disturb the rate capability gain that strategy is compared about 2bps that is shaped of known wave beam.Thereby as can be seen, transmission policy of the present invention has obtained obvious performance gain with lower complexity.With reference to Fig. 4, when fixing number of bits of feedback is 4, among the A of base station among number of users and the base station B number of users be 20, δ=0.5 o'clock, the speed of transmission policy of the present invention is along with N t, N rIncrease and increase, the concurrent present antenna number increase of antenna number more after a little while is obvious to the lifting ratio antenna number of performance.With reference to Fig. 5, honeycomb 1 is base station A institute coverage, and honeycomb 2 is base station B institute coverage, works as fix N t=N r=2, δ=0.5 o'clock, its speed increases along with increasing of number of users, and multi-user diversity gain is obvious, and speed increases along with the increase of number of bits of feedback.
Above-mentioned only is a specific embodiment of the present invention, but design concept of the present invention is not limited thereto, and allly utilizes this design that the present invention is carried out the change of unsubstantiality, all should belong to the behavior of invading protection range of the present invention.

Claims (9)

1. a multi-antenna multi-user distributed collaboration wave beam is shaped tactful, adjacent two cellular cells that are used for multi-user's multiple-input-multiple-output communication system, these adjacent two honeycombs are equipped with a multi-antenna base station and a plurality of edge customer, set this two base station and be respectively base station A and base station B, the user who is in this base station A and base station B coverage edge is edge customer, and it is characterized in that: each base station all disposes N tThe root antenna, each is with disposing N per family rThe root antenna, edge customer, base station A and base station B all use identical random code book, and the code word of code book is beamforming vectors, specifically comprises the steps:
1) base station A sends any one velocity of wave shaping vector, and pilot signal transmitted; Edge customer receives signal and feeds back himself information, and base station A selects optimal user i according to the edge customer feedack *Serve;
2) optimal user i *From its random code book, select optimal codes to determine the beamforming vectors information of base station 1 and feed back to base station A; Then, optimal user i *Estimate the channel status between itself and base station B and determine to make two inter-cell interference minimums base station B velocity of wave shaping vector information and it is fed back to base station A;
3) base station A is with optimal user i *The velocity of wave shaping vector information of the base station B that sends sends to base station B;
4) base station B sends beamforming vectors, and pilot signal transmitted; Edge customer receives signal and feeds back himself information, and the information of base station B estimated edge user feedback is selected optimal user j *Serve.
2. a kind of multi-antenna multi-user distributed collaboration wave beam shaping as claimed in claim 1 is tactful, and it is characterized in that: in step 1), edge customer receives signal and also estimates its channel matrix H iAnd signal to noise ratio, adopt MRC to merge its received signal to noise ratio of maximization, self signal to noise ratio is fed back to base station A.
3. a kind of multi-antenna multi-user distributed collaboration wave beam as claimed in claim 2 strategy that is shaped is characterized in that: in step 1), base station A chooses the user of signal to noise ratio maximum of edge customer feedback as optimal user i *Serve.
4. a kind of multi-antenna multi-user distributed collaboration wave beam shaping as claimed in claim 3 is tactful, and it is characterized in that: edge customer, base station A and base station B all use identical random code book, and this random code book is that random vector quantizes code book, is 1 N by N mould tThe dimension unit vector is formed, and N is code word number, and the code word in the code book is beamforming vectors
Figure FDA00002768367400021
5. a kind of multi-antenna multi-user distributed collaboration wave beam shaping strategy as claimed in claim 4 is characterized in that: in step 2) in, this optimal user i *Selecting a code word according to minimal distance principle from its random code book is velocity of wave shaping vector f 1, opt, make this velocity of wave shaping vector f 1, optWith channel matrix vector H iThe mould value maximum of product, this code word is optimal codes.
6. a kind of multi-antenna multi-user distributed collaboration velocity of wave as claimed in claim 5 is shaped tactful, it is characterized in that: edge customer, base station A and base station B all unify numbering to the code word of random code book, the code fetch numbering that every column vector label is this column vector in this is the i.e. numbering of this code word also, in step 2) edge customer i *The numbering of described optimal codes correspondence is sent to base station A.
7. a kind of multi-antenna multi-user distributed collaboration velocity of wave as claimed in claim 6 strategy that is shaped is characterized in that: in step 2) in optimal user i *Estimate the channel matrix G of itself and base station B i, and according to this channel matrix G iWith optimal user i in the A of base station *MRC merge vector
Figure FDA00002768367400023
Determine to make the beamforming vectors f that disturbs minimum base station B 2, opt, concrete computing formula is
Figure FDA00002768367400022
And optimal user i *Also with this velocity of wave shaping vector f 2, optThe numbering of corresponding code word sends to base station A.
8. a kind of multi-antenna multi-user distributed collaboration wave beam shaping as claimed in claim 7 is tactful, and it is characterized in that: base station A is with the beamforming vectors f of base station B in step 3) 2, optThe numbering of corresponding code word sends to base station B.
9. a kind of multi-antenna multi-user distributed collaboration wave beam shaping strategy as claimed in claim 8 is characterized in that: base station B transmission beamforming vectors f in step 4) 2, optAnd pilot signal, edge customer receives signal and estimates its channel matrix H jAnd signal to noise ratio, adopt MRC to merge its received signal to noise ratio of maximization, self signal to noise ratio is fed back to base station B, base station B chooses the user of signal to noise ratio maximum of edge customer feedback as optimal user j *Serve.
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CN106797627A (en) * 2014-10-07 2017-05-31 联发科技股份有限公司 The beam Synchronization method of beam forming wireless network

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