CN103840870B - A kind of Limited Feedback overhead reduction method under 3D mimo channels - Google Patents
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Abstract
The invention belongs to wireless communication technology field, one kind is specifically disclosed under 3D mimo channels by multi-user's Limited Feedback overhead reduction method.In multi-user's 3D MIMO OFDM Limited feedback systems, for each user, based on the frequency response correlation between subcarrier, sub-clustering processing is carried out to 3D MIMO OFDM vertical dimensions and each subcarrier of horizontal dimensions respectively, utilize vertical dimensions and the new code book of the optimal code construction current sub-carrier cluster of the previous cluster of subcarriers of horizontal dimensions, codewords indexes in new code book are worked out according to the correlation descending of the optimal code word of previous cluster of subcarriers, Variable Length Code is used to vertical dimensions and the optimal codewords indexes of horizontal dimensions and overhead bit position is added, system feedback expense is set largely to be reduced.The feedback overhead of scheduled user in multi-user's Limited feedback systems can be not only greatly lowered in this method, and implementation complexity is low.
Description
Technical field
The present invention relates to wireless communication technology field, and in particular to one kind mutually ties neighborhood with sub-clustering under 3D mimo channels
Multi-user's Limited Feedback overhead reduction method close, based on code book.
Background technology
In LTE-Advanced systems, base station end to send signal carry out precoding can be brought to system it is many it is favourable it
Place, such as the lifting of power system capacity, reduction of error rate of system etc..Just because of these advantages, precoding technique is as multi-purpose
The key technology of family MIMO-OFDM systems is widely studied.Wherein, multi-user's limited feedback precoding technology based on code book,
Because it can be effectively reduced overhead, and it is increasingly becoming the Main way of precoding technique research.But, it is existing to prelist
Code technology is based on 2 dimensions（2Dimension, 2D）MIMO model, therefore, is only capable of realizing that wave beam exists by horizontal pre-coding matrix
Horizontal dimensions track targeted customer.In actual wireless environment, not only there is the horizontal transmission of electromagnetic wave, and there is electromagnetism
The vertical transmission of ripple, therefore, existing 2D mimo channels model and imperfection.Therefore, academia largely carries out including industrial quarters
Based on three-dimensional（3Dimension, 3D）Mimo channel modeling work.3D mimo channels model needs consider space electricity simultaneously
The horizontal and vertical propagation of magnetic wave, that is, require to consider that azimuth and the angle of pitch, therefore, channel model are more accurate simultaneously.Consider
To 3D MIMO potential advantages, therefore, the company such as high pass, A Lang, DOCOMO, Nuo Xi and Waduven has set up ARTIST4G works
Make group, specialize in advanced wireless interfacing (the Advanced Radio Interface Technologies of 4G systems
For4G Systems, ARTIST4G), wherein 3D MIMO precoding techniques are due to increasing after vertical dimensions information so that wave beam
Definitely, the energy of wave beam more easily concentrates on targeted customer to directive property, so as to effectively reduce user（Particularly
Cell Edge User）Between disturb, improve user throughput and message transmission rate, therefore, 3D MIMO precoding techniques are not as
Carry out mobile communication enhancement key technology, cause the great attention of industry.
Similar with existing Limited feedback systems, base station end stores pre-designed code book respectively with user terminal.Difference
It is in in 3D MIMO Limited feedback systems, base station end and user terminal will store a vertical dimension code book and level dimension code respectively
This.User terminal comprehensively utilizes vertical dimensions and horizontal dimensions channel information, according to selection criterion, is selected respectively from the code book that prestores
Optimal vertical dimensions and horizontal dimensions pre-coding matrix, and manipulative indexing number is fed back into base station end, base station end is according to index
Number corresponding pre-coding matrix of selection is simultaneously extended, so that final 3D pre-coding matrixes are formed, finally using the matrix to hair
Data are sent to carry out precoding processing.
In multi-user system, due to number of users and per user number of sub carrier wave all than larger, and base station end is in order to obtain
The optimal pre-coding matrix of each each subcarrier of user, it is necessary to take similar precoding feedback for each subcarrier of each user
Treatment mechanism, therefore, system feedback expense are very huge, and real system feedback link bandwidth is extremely limited, particularly 3D
Under mimo channel, due to the exploitation of the vertical dimension free degree, it is even more to make the matter worse to natively nervous feedback link, therefore, carries
The Limited Feedback cost reduction technology for going out to be suitable for 3D mimo channels will be that can 3D MIMO technologies effectively commercialized key
One of, the research of current multi-user's Limited Feedback overhead reduction method is concentrated mainly on 2D fields.
The content of the invention
The present invention is directed under prior art 3D mimo channels base station end to obtain the optimal pre- of each subcarrier of each user
Encoder matrix, it is necessary to similar precoding feedback treatment mechanism, system feedback expense ten are taken for each subcarrier of each user
Divide huge, the problem of feedback link is nervous, the present invention proposes a kind of be combined neighborhood with sub-clustering, base under 3D mimo channels
In multi-user's Limited Feedback overhead reduction method of code book.
In multi-user's 3D MIMO-OFDM Limited feedback systems, base station end dispatches K simultaneously according to multi-subscriber dispatching algorithm
Individual user, each scheduled user carries out sub-clustering processing to vertical dimensions and horizontal dimensions subcarrier respectively, and then utilizes previous
Codewords indexes in the codebook space of the optimal code construction current sub-carrier cluster of cluster of subcarriers, new code book according to previous sub- load
The correlation of the optimal code word of ripple cluster carries out descending arrangement, respectively obtains each user's vertical dimensions and all sub- loads of horizontal dimensions
Optimal codewords indexes set of the ripple cluster under new code book, and then Variable Length Code is carried out to it and overhead bit position is added, so that
Reduce system feedback expense.This method comprises the following steps：
A kind of Limited Feedback overhead reduction method under 3D mimo channels, in multi-user's 3D MIMO-OFDM Limited Feedbacks system
In system, base station end dispatches whole K users in multi-user's group simultaneously, each scheduled user respectively to vertical dimensions and
Horizontal dimensions subcarrier carries out sub-clustering processing, and the code book using the optimal code construction current sub-carrier cluster of previous cluster of subcarriers is empty
Between, the codewords indexes in the code book of current sub-carrier cluster carry out descending according to the correlation of the optimal code word of previous cluster of subcarriers
Arrangement, therefrom selects the optimal code word of current vertical dimension and horizontal dimensions cluster of subcarriers respectively, completes vertical dimensions and level
After the optimal codeword selection of all cluster of subcarriers of dimension, each user's vertical dimensions and horizontal dimensions cluster of subcarriers are respectively obtained
Optimal codewords indexes set；Variable Length Code is carried out to the call number in set, while being tieed up respectively to vertical dimension index and level
Index addition overhead bit position, obtains new index set；Base station end is pressed to the optimal codewords indexes set of the user received
Position is decoded step by step, obtain with user's vertical dimensions and the corresponding codewords indexes of all cluster of subcarriers of horizontal dimensions, obtain with
Corresponding optimal pre-coding matrix, precoding processing is carried out to transmission signal with the optimal pre-coding matrix, to improve system
Performance.
Sub-clustering processing is carried out to vertical dimensions and horizontal dimensions subcarrier to specifically include：In the initial code containing L code word
The optimal code word corresponding with vertical dimensions and first cluster of subcarriers of horizontal dimensions is selected in thisWithAccording to
Code book C={ w of the optimal code word of vertical dimensions1,w2,L,wLThe new code book C ' of construction vertical dimensions={ w1,w2,L,wL′, according to level
The new code book of codebook construction horizontal dimensions of the optimal code word of dimensionWherein, C ', Ch' respectively byThe individual adjacent code word compositions of L ', and according toApart from descending arrangement establishment index,
Ultimately form the new code book corresponding with vertical dimensions and all cluster of subcarriers of horizontal dimensions.Select optimal code wordWithSpecifically include：Take the jth of the corresponding channel matrix of every reception antenna to arrange, constitute vertical dimension channel matrix Hv, i.e.,The i-th row of the corresponding channel matrix of every reception antenna is taken, level dimension channel matrix H is constitutedh,
I.e.By vertical dimensions and horizontal dimensions subcarrier sub-clustering, with the channel of all subcarriers in sub-clustering
Average selects channel as the cluster pre-coding matrix, i.e.,： According to most
Small singular value maximizes criterion and selects optimal code wordThe composition of multi-user's group is specifically, each user
Each matrix in the traversal code book of end, corresponding noise when calculating the precoding vector using each vector as its user respectively
Than snr value optimal precoding vector index corresponding when maximum is fed back to base station end by each user, and base station end obtains institute
All user terminals are reported in linchpin cell optimal precoding vector and channel quality information CQI, select maximum CQI from multi-user
User as the first scheduling user, according to signal to noise ratio descending principle, from the other users except the first scheduling open air, select
Use optimal precoding vectors not only different but also different from the optimal precoding vectors that the first scheduling user is used
Other K-1 terminal users it is paired, so as to constitute multi-user's group.
The present invention is directed to multi-user's 3D MIMO-OFDM systems, it is proposed that a kind of Limited Feedback overhead reduction method.The party
Method comprehensively utilizes vertical dimensions and horizontal dimensions channel information, and on the basis of previous level dimension precoding, increase vertical dimension is pre-
Coding, effectively increases systematic function.Meanwhile, by using frequency dependence between vertical dimensions and each subcarrier of horizontal dimensions,
Subcarrier sub-clustering, new codebook construction, Variable Length Code and the position processing of addition overhead bit are introduced, the effective of feedback link is improved
Property, so that feedback overhead is greatly lowered.
Brief description of the drawings
Fig. 1 is 3D MIMO multi-user's Limited Feedback part system block diagrams based on code book；
Fig. 2 is implementing procedure figure of the present invention；
Fig. 3 is block code feedback instances figure under initial codebook；
Fig. 4 is Variable Length Code feedback instances figure of the present invention；
Fig. 5 is the averagely each feedback quantity comparison diagram of vertical dimensions under the NLOS environment of interior of the invention；
Fig. 6 is the averagely each feedback quantity comparison diagram of horizontal dimensions under the NLOS environment of interior of the invention.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is described in detail.
In multi-user's 3D MIMO-OFDM Limited feedback systems, base station dispatches K simultaneously according to multi-subscriber dispatching algorithm
User.For each user, based on the frequency response correlation between subcarrier, respectively to 3D MIMO-OFDM vertical dimensions and water
Flat each subcarrier of dimension carries out sub-clustering processing, and then is utilized respectively the optimum code of vertical dimensions and the previous cluster of subcarriers of horizontal dimensions
Word construct codewords indexes in the new code book of current vertical dimension and horizontal dimensions cluster of subcarriers, new code book then according to previous son
The correlation descending establishment of the optimal code word of subcarrier cluster, is obtaining user's vertical dimensions with all cluster of subcarriers of horizontal dimensions new
After optimal codewords indexes set under code book, and then Variable Length Code is used to vertical dimensions and the optimal codewords indexes of horizontal dimensions
And overhead bit position is added, so that system feedback expense is largely reduced.This method not only can significantly drop
The feedback overhead of scheduled user in low multi-user's Limited feedback systems, and implementation complexity is low.
Multi-user's Limited Feedback part system block diagram based on code book under 3D mimo channels as shown in Figure 1, including：OFDM
Modulation/demodulation modules, 3D precoding modules, 3D channel estimations and pre-coding matrix selecting module, feedback information acquisition module and
3D signal transmission/reception module.
Assuming that base station end is using uniform surface battle array, transmitting antenna number isRequire that each transmitting antenna can simultaneously
Enough to handle horizontal dimensions and the information in vertical dimensions simultaneously, user terminal reception antenna number is Nr, and consider K user by simultaneously
Scheduling.
User i（(i=1,2,...,K)）Reception signal phasor be represented by
Wherein K is number of users, yiRepresent user i reception signal phasor, HiRepresent channel matrix, wiRepresent precoding square
Battle array, xiRepresent to send signal phasor,Represent other users to the interference signal of the user, niRepresent additive Gaussian
White noise, obeys CN (0, N0) distribution.
User terminal obtains channel condition information H by channel estimationi, according to multi-user's ZF（Zero-Forcing,
ZF）Detect, then user i sends signal xiDetected value beWherein GiRepresent user i when user terminal is detected using ZF
Linear transformation matrix, be expressed as Gi=(Hiwi)-1, wherein, wi∈C={w1,w2,L,wLIt is pre-coding matrix.User i noise
It is represented by than SINR：
In multi-user's Limited feedback systems, code book C includes L pre-coding matrix { w1,w2,L,wL, each user terminal time
The each matrix gone through in code book, corresponding signal to noise ratio when calculating the precoding vector using each vector as its user respectively
Snr value optimal precoding vector index corresponding when maximum is fed back to base station end by SINR, each user.Base station end is obtained
All user terminals are reported in jurisdiction district optimal precoding vector and channel quality information（Channel Quality
Information, CQI）Afterwards, maximum CQI user is selected from multi-user as the first scheduling user, and then according to signal to noise ratio
It is worth descending principle, from except other outdoor report of user of the first scheduling, selection uses optimal precoding vectors not only mutual
Differ and the other K-1 terminal users different from the optimal precoding vectors that the first scheduling user is used match somebody with somebody therewith
It is right, so as to constitute multi-user's group.Base station end dispatches K user simultaneously, wherein each scheduled user is individually had
Limit feedback.
The specific reality of multi-user's Limited Feedback overhead reduction method based on code book under 3D mimo channels proposed by the present invention
Existing flow such as Fig. 2, wherein, base station end uses n × m aerial arrays, and each user terminal uses k root reception antennas, specifically included：
1）User i is received after signal, by 3D channel estimations, obtains 3D channel matrix Hsn×m×k, take every piece-root grafting to receive day
The jth row of the corresponding channel matrix of line, constitute vertical dimension channel matrix Hv, i.e.,
The i-th row of the corresponding channel matrix of every reception antenna is taken out, level dimension channel matrix H is constitutedh, i.e.,
Wherein horizontal dimensions antenna number in n representative antennas array, m represents vertical dimensions antenna number, and k represents user terminal reception
Antenna number.Because the element of the every a line of the spatial channel matrix and aerial array of horizontal dimensions is related, the space of vertical dimensions
The element of channel matrix and each row of aerial array is related, therefore, i and j can choose 1,2 ... the Arbitrary Digit between k.
2）By vertical dimensions and horizontal dimensions channel matrix Hv、HhSub-clustering is carried out according to the frequency dependence between subcarrier, with
The channel average of all subcarriers selects channel as the cluster pre-coding matrix in cluster, i.e.,
Wherein,The channel average of n-th of cluster of subcarriers of vertical dimensions is represented,Represent n-th of subcarrier of horizontal dimensions
The channel average of cluster, N represents sub-carrier number in cluster, its size can be voluntarily determined according to emulation demand, still, due between subcarrier
Frequency dependence it is limited, N will influence systematic function.M represents m-th of subcarrier.
3）The optimal code word corresponding with first cluster of subcarriers of vertical dimensions is selected in the code book C containing L code word
Criterion can be maximized according to minimum singular value and select optimal code wordHave：
Wherein, C represents codebook space, and w represents pre-coding matrix,Represent the channel of first cluster of subcarriers of vertical dimensions
Average.
4）New code book C ' is determined according to optimal code word.C ' byThe individual adjacent code word compositions of L '（IncludingThis
Body）, and according toWork out index apart from descending arrangement.I.e.
C′={w1,w2LwL′}
WhereinNew codebook size L ' can be according to channel circumstance
Condition is own to be determined.
5）Criterion is maximized according to minimum singular value, it is corresponding optimal in the new middle selections of code book C ' and second cluster of subcarriers
Code word.
6）Step 4 is performed successively）-5）, until obtaining the optimal code word corresponding with vertical dimensions last cluster of subcarriers.
7）For each cluster of subcarriers of horizontal dimensions, above-mentioned steps 3 are performed）- 5), i.e.,
The optimal code word corresponding to first cluster of subcarriers of horizontal dimensions is obtained first：
Then new code book C ' is determined according to optimal code word, i.e.,
C′={w1,w2LwL′}
Wherein
Criterion is maximized according to minimum singular value, it is corresponding in second cluster of subcarriers of the new middle selections of code book C ' and horizontal dimensions
Optimal code word.By that analogy, until obtaining the optimal code word corresponding with horizontal dimensions last cluster of subcarriers.
8）All cluster of subcarriers of vertical dimensions and horizontal dimensions are completed after optimal codeword selection, it is determined that with vertical dimensions and water
The corresponding optimal codewords indexes set of flat all cluster of subcarriers of dimension.
9）Variable Length Code is carried out to the call number in optimal codewords indexes set, while being tieed up to vertical dimension index and level
Index adds overhead bit position respectively, for example：The vertical dimensions overhead bit of addition is 1, and horizontal dimensions overhead bit is 0, from
And obtain being based ultimately upon the new codewords indexes set of binary representation.Coding rule is as shown in table 1.
Relation between the Variable Length Code of table 1, block code and index
Feedback overhead is greatly lowered by using sub-clustering and neighborhood and Variable Length Code in the present invention, improves feedback link
Validity.The benefit that the present invention is brought can be further illustrated by emulation.
Simulation parameter configuration is as shown in table 2：
The simulation parameter of table 2 is configured
| Emulate number of sub frames | 200 subframes |
| Channel type | 3D SCM |
| System bandwidth | 10MHz |
| Antenna for base station spacing | Vertical 0.5 λ of the λ of level 10 |
| Antenna for base station number | 8×8 |
| Number of users | 4 |
| User antenna number | 2 |
| Simulated environment | Indoor NLOS |
| Sub-carrier number | 300 |
In initial codebook L=16, during new code book L '=4, Fig. 3, Fig. 4 are provided using block code and of the present invention respectively
Feedback instances figure after Variable Length Code.Meanwhile, vertical dimensions and horizontal dimensions cluster of subcarriers number are respectively 5, in each cluster
Sub-carrier number is 5, and each optimal code word of cluster manipulative indexing in initial codebook is { 7,7,6,6,5,9,9,9,8,8 }.If right
Vertical dimensions and horizontal dimensions subcarrier are then added behind overhead bit position, feedback quantity is reachable without sub-clustering（5×5+5×5）×
5=250bit；After subcarrier sub-clustering, when each cluster of subcarriers still uses initial codebook, i.e., used according to Fig. 3
During block code, data after coding for 10111,10111,10110,10110,10101,01001,01001,01001,
01000,01000 }, feedback quantity expense is up to 50bit, and the 250bit fed back compared with preferable subcarrier has had substantial degradation；Such as
When fruit is using Variable Length Code of the present invention, as shown in figure 4, construct new code book first, and carry out in new code book optimal
Codeword selection, and then obtain the optimal codewords indexes set under new code book, i.e., it is { 7,1,2,1,2,9,1,1,2,1 }, then right
It carries out Variable Length Code and addition overhead bit, data after encode be 10111,11,111,11,111,01001,
01,01,011,01 }, feedback overhead is reduced to 29bit, therefore, fully shows that the present invention is excellent in feedback overhead reduction
Gesture.
In initial codebook size L=16, new codebook size L '=8, when sub-carrier number N is different in cluster, Fig. 5 provides 3D MIMO-
Ofdm system feedback overhead comparison diagram.If only considering the reduction of each subcarrier feedback bits（That is N=1）, because new code book is big
Small L '=8<L=16, hence in so that feedback overhead is reduced to a certain extent, but its total feedback overhead is still very big, it is impossible to
Feedback bandwidth as defined in 3GPP agreements is met to limit.Further, it can be seen that, sub-carrier number is bigger in cluster, feed back from simulation result
Amount is lower, that is, increases sub-carrier number in cluster, system feedback expense can be greatly lowered.As new codebook size L '=8, N=12,
Its corresponding feedback overhead is minimum, and the feedback overhead amount substantially meets feedback bandwidth as defined in 3GPP agreements and limited
（105bit）.
Fig. 6 provides error rate of system when sub-carrier number N is different in initial codebook size L=16, new codebook size L '=8, cluster
Performance Simulation Results.As can be seen that N is smaller from figure, then systematic function is fed back closer to preferable subcarrier, because,
Sub-carrier number is fewer in cluster, and the cluster channel average, which is got over, can fully represent each subcarrier, and the pre-coding matrix thus selected is more
Close to the pre-coding matrix for each sub-carrier selection, so systematic function is better.In addition, when N=12, although performance phase
It is decreased obviously than ideal feedback, but meets the requirement of feedback channel bandwidth, therefore, the method for the invention, which is greatly lowered, is
Feedback overhead of uniting is that, using sacrificial system performance as cost, this is worth for the benefit brought.
Multi-user's Limited Feedback overhead reduction method under 3D mimo channels proposed by the present invention, in multi-user's Limited Feedback
Subcarrier sub-clustering, new codebook construction and Variable Length Code are added in system, it is right by using the frequency dependence between subcarrier
3D MIMO-OFDM channels vertical dimensions and horizontal dimensions subcarrier carry out sub-clustering, according to the optimal code word of previous cluster of subcarriers
Correlation is that next cluster of subcarriers constructs new code book, and therefrom selects optimal code word, and the rest may be inferred, until obtain vertical dimensions with
The optimal codewords indexes set of all cluster of subcarriers of horizontal dimensions, while re-starting Variable Length Code to the index set and adding
Plus overhead bit position, so as to considerably reduce feedback overhead, improve the validity of feedback link.
Claims (2)
- A kind of Limited Feedback overhead reduction method under 1.3D mimo channels, it is characterised in that including step：In multi-user 3D In MIMO-OFDM Limited feedback systems, base station end dispatches whole K users in multi-user's group simultaneously, each scheduled User carries out sub-clustering processing to vertical dimensions and horizontal dimensions subcarrier respectively, utilizes the optimal code construction of previous cluster of subcarriers Codewords indexes in the codebook space of current sub-carrier cluster, current sub-carrier cluster code book are according to the optimum code with previous cluster of subcarriers The correlation of word carries out descending arrangement, and the optimal code word of current vertical dimension and horizontal dimensions cluster of subcarriers is therefrom selected respectively, After the optimal codeword selection for completing vertical dimensions and all cluster of subcarriers of horizontal dimensions, respectively obtain each user's vertical dimensions with The optimal codewords indexes set of horizontal dimensions cluster of subcarriers；Variable Length Code is carried out to the call number in set, while right respectively Vertical dimensions are indexed adds overhead bit position with horizontal dimensions index, obtains new index set；Base station end is to the use that receives The optimal codewords indexes set at family, step-by-step is decoded step by step, is obtained and user's vertical dimensions and all cluster of subcarriers of horizontal dimensions Corresponding codewords indexes, and its optimal pre-coding matrix, are carried out at precoding with the optimal pre-coding matrix to transmission signal Reason, wherein, selection current vertical dimension and the optimal code word of horizontal dimensions cluster of subcarriers respectivelyWithSpecific bag Include, take the jth of the corresponding channel matrix of every reception antenna to arrange, constitute vertical dimension channel matrix Hv, i.e.,The i-th row of the corresponding channel matrix of every reception antenna is taken, level dimension channel matrix H is constitutedh, I.e.By vertical dimensions and horizontal dimensions subcarrier sub-clustering, with the channel of all subcarriers in sub-clustering Average selects channel as the cluster pre-coding matrix, i.e.,：To pre- Encoder matrix selects channel to maximize criterion according to minimum singular value and selects optimal code wordTo vertical dimensions Sub-clustering processing is carried out with horizontal dimensions subcarrier to specifically include：Selection and vertical dimensions in the initial codebook containing L code word The optimal code word corresponding with first cluster of subcarriers of horizontal dimensionsWithAccording to the optimal code word of vertical dimensions Code book C={ w1,w2,…,wLThe new code book C'={ w of construction vertical dimensions1,w2,…,wL', according to the optimal code word of horizontal dimensions The new code book of codebook construction horizontal dimensionsWherein, C', Ch' respectively byL' Adjacent code word composition, and according toApart from descending arrangement establishment index, ultimately form with vertical dimensions and The corresponding new code book of all cluster of subcarriers of horizontal dimensions, wherein, horizontal dimensions antenna number in n representative antennas arrays, m, which is represented, to hang down Straight dimension antenna number, k represents user terminal reception antenna number,The channel average of n-th of cluster of subcarriers of vertical dimensions is represented, The channel average of n-th of cluster of subcarriers of horizontal dimensions is represented, N represents sub-carrier number in cluster, Hv(m) m-th subcarrier is represented Vertical dimension channel matrix, Hh(m) the level dimension channel matrix of m-th of subcarrier is represented.
- 2. according to the method described in claim 1, it is characterised in that the composition of multi-user's group is specifically, each user terminal time The each matrix gone through in code book, corresponding signal to noise ratio when calculating the precoding vector using each vector as its user respectively, respectively Snr value optimal precoding vector index corresponding when maximum is fed back to base station end by user, and base station end obtains jurisdiction district Optimal precoding vector and channel quality information CQI that interior all user terminals are reported, select maximum CQI user from multi-user As the first scheduling user, according to signal to noise ratio descending principle, from except the outdoor other users of the first scheduling, selection is used Optimal precoding vectors are different and the other K-1 terminals different from the optimal precoding vectors of the first scheduling user are used Family is paired, so as to constitute multi-user's group.
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Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104320169B (en) * | 2014-10-27 | 2018-01-19 | 西安交通大学 | Three-dimensional wave beam Shape design method in multi-user's 3D mimo systems |
| CN105827359B (en) * | 2015-01-04 | 2019-03-05 | 中国联合网络通信集团有限公司 | Channel characteristic information feedback method and base station |
| CN106856413B (en) * | 2015-12-07 | 2020-09-22 | 电信科学技术研究院 | Codebook generating method and device for transmitting precoding indication information |
| CN105933042B (en) * | 2016-04-20 | 2018-12-18 | 重庆大学 | Adaptive Limited Feedback new method based on sub-clustering in a kind of LTE system |
| CN105721029B (en) * | 2016-04-27 | 2019-02-05 | 西安交通大学 | Multi-user dispatching method based on this Limited Feedback of dicode in 3D MU-MIMO FDD system |
| CN107733493B (en) * | 2016-08-10 | 2021-02-12 | 华为技术有限公司 | Method and apparatus for determining precoding matrix |
| CN107171702A (en) * | 2017-05-12 | 2017-09-15 | 重庆大学 | Extensive mimo channel feedback method based on PCA evolution |
| CN110011710B (en) * | 2018-01-05 | 2021-01-15 | 中国移动通信有限公司研究院 | Pre-coding matrix generation method and pre-coding matrix generation device |
| CN110034847B (en) * | 2018-01-12 | 2022-01-14 | 华为技术有限公司 | Cascade coding method and device |
| CN114070366A (en) * | 2020-07-30 | 2022-02-18 | 华为技术有限公司 | Communication method and device |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103152140A (en) * | 2013-03-05 | 2013-06-12 | 东南大学 | Limiting feedback method of three-dimensional multi-user MIMO (multiple input multiple output) based on direct-product code books |
| CN103475397A (en) * | 2012-06-08 | 2013-12-25 | 中兴通讯股份有限公司 | Three-dimensional wave beam forming method, communication station and mobile station |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8644422B2 (en) * | 2010-02-12 | 2014-02-04 | Blackberry Limited | Low overhead PMI and CQI feedback and pairing schemes for MU-MIMO |
| US8798011B2 (en) * | 2011-04-29 | 2014-08-05 | Nec Laboratories America, Inc. | Enhancement of download multi-user multiple-input multiple-output wireless communications |
-
2013
- 2013-12-31 CN CN201310752815.0A patent/CN103840870B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103475397A (en) * | 2012-06-08 | 2013-12-25 | 中兴通讯股份有限公司 | Three-dimensional wave beam forming method, communication station and mobile station |
| CN103152140A (en) * | 2013-03-05 | 2013-06-12 | 东南大学 | Limiting feedback method of three-dimensional multi-user MIMO (multiple input multiple output) based on direct-product code books |
Non-Patent Citations (1)
| Title |
|---|
| "MIMO-OFDM系统中一种低开销有限反馈新方法";李岩;《计算机应用》;20120701;第1-4页 * |
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| CN103840870A (en) | 2014-06-04 |
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