CN106301494B - The interference management method for precoding of multi-user is directed in a kind of heterogeneous network - Google Patents
The interference management method for precoding of multi-user is directed in a kind of heterogeneous network Download PDFInfo
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- CN106301494B CN106301494B CN201510319826.9A CN201510319826A CN106301494B CN 106301494 B CN106301494 B CN 106301494B CN 201510319826 A CN201510319826 A CN 201510319826A CN 106301494 B CN106301494 B CN 106301494B
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- femtocell
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
- H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
Abstract
The present invention is under the wireless network environment that multiple femtocell networks and macrocellular network coexist, propose the interference management precoding technique that multi-user is directed in a kind of heterogeneous network, a macrocell base stations and multiple femtocells are covered in one cell, macrocellular network is defined to be interfered caused by femtocell network as cross-layer interference, interference between femtocell network is same layer interference, precoding is carried out to femtocell user and macrocell user respectively, the precoding of macrocell user makes cross-layer interference minimum, it is allowed to comparable and intends ambient noise, the precoding of femtocell user and the postposition coding of femtocell are iterated, it is exported with minimum mean square error criterion, finally greatly reduce interference suffered by femtocell, it ensure that the service quality of femtocell user.
Description
Technical field
The present invention relates to a kind of wireless communication interference management method more particularly to a kind of multiple femtocell networks with it is macro
Cellular network coexist under, reduce the method that is disturbed of femtocell under multi-user.
Background technique
Interference alignment has received widespread attention in recent years as a kind of novel interference management techniques, and interference alignment is logical
The shared signal dimension of overcompression interference, makes system obtain maximum freedom degree, for femtocell and macrocellular base
The heterogeneous network scene that station coexists, interference alignment techniques make interference overlap in receiving end by precoding technique, with thorough
Influence of the interference to desired signal is eliminated at bottom, creates zero interference space for each automatic network.
But as attention degree of the indoor user to indoor communications is higher and higher, has more user's selections and pacify in family
Fill femtocell, the cumulative year after year of wireless user in addition, the common single one layer precoding for interfering alignment techniques with
Postposition coding has been not enough to cope with staggeredly interfering under complex network environment, how for different under the more base station scenarios of multi-user
It is one of the restraining factors for interfering alignment algorithm to popularize that network forming network, which carries out interference management, through to existing interference alignment techniques
Article retrieved, find:
Guler, B. and Yener, A. (Selective Interference Alignment for MIMO
Cognitive Femtocell Networks,Selected Areas in Communications,IEEE Journal
On, 2014:439-450) it is directed to the heterogeneous network cell that multiple femtocells coexist with single macrocell base stations, it proposes
A kind of selectable interference alignment, the program select interference source, be only aligned femtocell be subject to it is capable and experienced
Disturb, while improving the service quality of femtocell, reduce interference alignment algorithm complexity, but the algorithm restrict in
The number of macrocell user and location, and do not have universality.
Qingzhong Li et al. people (Qingzhong Li, Xuemai Gu, Hanqing Li, Min Jia,
“Interference alignment for MIMO downlink femtocell networks”,Networks(ICON),
2013 19th IEEE International Conference, Singapore, pp.1-4) propose a kind of double-deck heterogeneous network
The interference of downlink is aligned in network, the downlink rate of macrocellular network is optimized, ensure that macrocell user
Service quality, but effective interference management is not carried out for femtocell user, do not ensure that the communication matter of indoor user
Amount.
Maso M. et al. (Maso M., Cardoso L.S., Debbah M., etal, " Cognitive
interference alignment for OFDM two-tiered networks”,2012IEEE 13th Signal
Processing Advances in Wireless Communications, Cesme, 2012, pp.244-248) utilize interference
Alignment enables macrocellular network and cognition microcellulor network based on orthogonal frequency division multiplexing to coexist, maximizes cognition link
While spectrum efficiency, the freedom degree of macrocellular network ensure that, but mentioned system model is too simple in text, only include one
Macrocell user and a micro-base station user.
Li Li, Yang Jingwen, Zhou little Ping (CN104125577A) propose a kind of interference management recognized under the double-deck heterogeneous network
Strategy, in the cell of the double-deck heterogeneous network (femtocell/macrocellular) covering, for change macrocell user present position
The region at place, femtocell user can also change this feature to the interference of macrocell user accordingly, logical first
Channel information is crossed to judge region locating for macrocell user, it is right further according to the different characteristics of interference profile in different zones
Interference suffered by femtocell user and macrocell user carries out interference alignment respectively, reduce femtocell user,
The interference of macrocell user, but the patent institute climbing form type is begged for only for single macrocellular and single femtocell
By being studied with the network environment that macrocell base stations coexist for multiple femtocells.
From the prior art, the multi-user interference pipe under multiple femtocell networks coexist with macrocellular network is studied
Reason precoding technique is still of great practical significance.
Summary of the invention
The wireless network environment that the present invention coexists for multiple femtocell networks and macrocellular network, proposes one kind
For the interference management precoding technique of multi-user and the method for reducing femtocell interference in heterogeneous network, lead to
It crosses to femtocell user and macrocell user precoding, reduces interference suffered by femtocell, ensure that millimicro
The service quality of microcellulor user.
First aspect of the present invention is to provide the interference management method for precoding that multi-user is directed in a kind of heterogeneous network, packet
It includes:
Set M macrocell user (MU in communication scenes1,...,MUM) communicated with a macrocell base stations, K milli
Pico cell corresponds to K femtocell (BS1,BS2,...,BSK), each femtocell possesses 1 femtocell
User is denoted as FUk(k=1,2 ..., K);Wherein, FUk(k=1,2 ..., K), MUm(m=1,2 ..., M) respectively there is NtRoot
Transmitting antenna, femtocell, macrocell base stations respectively have NfRoot receiving antenna;
The transmitting terminal of each femtocell user sends uplink signal, femtocell base to each femtocell
It stands feedback channel information, the transmitting terminal of each femtocell user obtains channel conditions;
Shared, the available self transmission channel of the transmitting terminal of each femtocell user and interference channel according to backstage
Channel state information;
Wherein, h is setkm, dimension is Nf×Nt, be m (m=1,2 ..., M) a macrocell user to kth (k=1,
2 ..., K) a femtocell channel coefficient matrix;Set Hij, dimension is Nf×Nt, it is j-th of femtocell
Channel coefficient matrix (i, j=1,2 ..., K) of the user to i-th of femtocell;Each femtocell user with it is macro
Each spontaneous emission signal is normalized in the transmitting terminal of phone user, it is made to emit signal mean value 0, variance 1;Note
FUkTransmitting signal be sk;BSkThe noise vector received is denoted as nk, dimension is Nf× 1, obeying mean value is 0, variance σ2's
Gaussian Profile, E (nk×(nk)H)=σ2I, I NfThe unit matrix of rank, subscript H expression take conjugate transposition;
Design MUmPrecoding Tm, dimension is Nt× 1, so that macrocell user suffered by all femtocells is total
Interference noise power JsumIt is minimum:
Wherein, JkAverage function for k-th of femtocell by the interference plus noise from M macrocell user
Rate:
To JsumGradient is sought, ▽ J is enabledsum=0, it obtains:
Wherein Qk=(hk1,…,hkM)H(hk1,…,hkM), R=(T1 H,T2 H,…,TM H), Pk=(hk1,…,hkM)Hnk;Institute
Obtain the component T in matrix RmAs MUmOn precoding (m=1,2 ..., M);
Design FUkOn precoding wk, dimension is Nt×1;Design BSkOn AF panel matrix gk, dimension is Nf×1;
K-th of femtocell receiving end signal mean square error is calculated as εk, indicate are as follows:
Then under conditions of power limited, keep all femtocell receiving end signal mean square errors minimum, it may be assumed that
Due to εkTo be convex, institute's above formula must existence and unique solution wk、gk。
In above content of the present invention, w is solvedk、gkMethod, implemented preferably by Newton iteration, comprising:
Initialize pre-coding matrix wk;
Calculate AF panel matrix gk:
According to matrix gkAcquire encoder matrix wk:
Repeat above-mentioned calculating gkAnd wkThe step of, until εkConvergence gained wk、gkAs solved.
The present invention proposes one kind under the wireless network environment that multiple femtocell networks and macrocellular network coexist
It is directed to the interference management precoding technique of multi-user in heterogeneous network, covers macrocell base stations and more in one cell
A femtocell defines macrocellular network and is interfered caused by femtocell network as cross-layer interference, femto bee
Interference between nest network is same layer interference, carries out precoding, macrocellular to femtocell user and macrocell user respectively
The precoding of user makes cross-layer interference minimum, is allowed to comparable and intends ambient noise, the precoding of femtocell user and milli
The postposition coding of micromicro honeycomb base station is iterated, and is exported with minimum mean square error criterion, is finally significantly reduced femto
Interference suffered by cellular base station ensure that the service quality of femtocell user.
Detailed description of the invention
Fig. 1 is isomerism network structure system model schematic diagram in the embodiment of the present invention.
Specific embodiment
The system model that as figure 1 shows the interference management techniques embodiment under a kind of heterogeneous network, in heterogeneous network knot
It include 2 macrocell user (MU in structure1、MU2) communicated with a macrocell base stations, corresponding 2 millis of 2 femtocells
Micromicro honeycomb base station (BS1、BS2).Each femtocell possesses 1 femtocell user FUk(k=1,2), wherein FUk
(k=1,2), MUm(m=1,2) respectively has 3 transmitting antennas, and femtocell, macrocell base stations respectively have 3
Receiving antenna.The method that femtocell interference is reduced in this embodiment of the invention is as follows:
The transmitting terminal of each user sends uplink signal, base station feedback channel information, the transmitting terminal of each user to each base station
Obtain channel conditions;
Shared, the channel status of the available self transmission channel of the transmitting terminal of each user and interference channel according to backstage
Information;
Set hkm, dimension is 3 × 3, for m (m=1,2) a macrocell user to kth (k=1,2) a femtocell
The channel coefficient matrix of base station;Set Hij, dimension is 3 × 3, for j-th of femtocell user to i-th of femtocell base
The channel coefficient matrix (i, j=1,2) stood;Remember FUkTransmitting signal be sk, be mean value it is the random signal that 0 variance is 1, BSk
The noise vector that receiving end receives is denoted as nk, dimension is 3 × 1, and obeying mean value is the Gaussian Profile that 0 variance is 1;E(nk×
(nk)H)=I, I are the unit matrix of 3 ranks, and subscript H expression takes conjugate transposition;
Design MUmPrecoding Tm, dimension is 3 × 1, so that macrocell user suffered by all femtocells is total
Interference noise power JsumIt is minimum:
Wherein, JkAverage function for k-th of femtocell by the interference plus noise from M macrocell user
Rate:
It enables: R=(T1 H,T2 H), Qk=(hk1,hk2)H(hk1,hk2), Pk=(hk1,hk2)Hnk;
Then:
To JsumGradient is sought, is enabledIt obtains:
Component T in gained matrix RmAs MUmOn precoding (m=1,2).
Design FUkOn precoding wk, dimension is 3 × 1;Design BSkOn AF panel matrix gk, dimension is 3 × 1;The
K femtocell receiving end signal mean square error is εk, indicate are as follows:
Under conditions of power limited, keep all femtocell receiving end signal mean square errors minimum, it may be assumed that
Due to εkTo be convex, thus must existence and unique solution, can be obtained by Newton iteration, specific algorithm are as follows:
1: initialization pre-coding matrix wk;
2: calculating AF panel matrix gk:
3, according to matrix gkAcquire encoder matrix wk:
Repeat above-mentioned calculating gkAnd wkStep 2 and 3, until εkConvergence gained wk、gkAs solved.
As described above, the precoding of macrocell user makes cross-layer interference minimum, it is allowed to comparable and intends ambient noise, millimicro
The precoding of microcellulor user and the postposition coding of femtocell are iterated, and are exported with minimum mean square error criterion,
Interference suffered by femtocell finally is greatly reduced, ensure that the communication quality of femtocell user.This is pre-
Encoding scheme is that next-generation wireless cellular network can reach higher rate, bigger network capacity, provides solid technology
Material base.
Specific embodiments of the present invention are described in detail above, but it is merely an example, the present invention is simultaneously unlimited
It is formed on particular embodiments described above.To those skilled in the art, any couple of present invention carries out equivalent modifications and
Substitution is also all among scope of the invention.Therefore, without departing from the spirit and scope of the invention made by equal transformation and
Modification, all should be contained within the scope of the invention.
Claims (2)
1. being directed to the interference management method for precoding of multi-user in a kind of heterogeneous network characterized by comprising
Set M macrocell user (MU in communication scenes1,...,MUM) communicated with a macrocell base stations, K femto
Honeycomb corresponds to K femtocell (BS1,BS2,...,BSK), each femtocell possesses 1 femtocell and uses
Family is denoted as FUk(k=1,2 ..., K);Wherein, FUk(k=1,2 ..., K), MUm(m=1,2 ..., M) respectively there is NtRoot hair
Antenna is penetrated, femtocell, macrocell base stations respectively have NfRoot receiving antenna;
The transmitting terminal of each femtocell user sends uplink signal to each femtocell, and femtocell is anti-
Channel information is presented, the transmitting terminal of each femtocell user obtains channel conditions;
Shared, the letter of the available self transmission channel of the transmitting terminal of each femtocell user and interference channel according to backstage
Channel state information;
Wherein, h is setkm, dimension is Nf×Nt, for m (m=1,2 ..., M) a macrocell user to kth (k=1,2 ..., K)
The channel coefficient matrix of a femtocell;Set Hij, dimension is Nf×Nt, for j-th of femtocell user to i-th
The channel coefficient matrix (i, j=1,2 ..., K) of a femtocell;Remember FUkTransmitting signal be sk, be mean value be 0 side
The random signal that difference is 1, BSkThe noise vector received is denoted as nk, dimension is Nf× 1, obeying mean value is 0, variance σ2Height
This distribution, E (nk×(nk)H)=σ2I, I NfThe unit matrix of rank, subscript H expression take conjugate transposition;
Design MUmPrecoding Tm, dimension is Nt× 1, so that total interference of macrocell user suffered by all femtocells
Noise power JsumIt is minimum:
Wherein, JkMean power for k-th of femtocell by the interference plus noise from M macrocell user:
To JsumGradient is sought, ▽ J is enabledsum=0, it obtains:
Wherein Qk=(hk1,…,hkM)H(hk1,…,hkM), R=(T1 H,T2 H,…,TM H), Pk=(hk1,…,hkM)Hnk;
Component T in gained matrix RmAs MUmOn precoding (m=1,2 ..., M);
Design FUkOn precoding wk, dimension is Nt×1;Design BSkOn AF panel matrix gk, dimension is Nf×1;K-th
The mean square error of femtocell receiving end signal is denoted as εk, indicate are as follows:
Then under conditions of power limited, keep all femtocell receiving end signal mean square errors minimum, it may be assumed that
Due to εkTo be convex, institute's above formula must existence and unique solution wk、gk;
Wherein, NfAnd NtRespectively dimension is natural number.
2. the method according to claim 1, wherein solving wk、gkMethod, implemented by Newton iteration,
Include:
Initialize pre-coding matrix wk;
Calculate AF panel matrix gk:
According to matrix gkAcquire encoder matrix wk:
Repeat above-mentioned calculating gkAnd wkThe step of, until εkConvergence gained wk、gkAs solved.
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2012017601A1 (en) * | 2010-08-03 | 2012-02-09 | パナソニック株式会社 | Femtocell base station and access mode switching method |
CN103491642A (en) * | 2013-09-23 | 2014-01-01 | 西安电子科技大学 | Downlink interference elimination method based on scheduling and interference alignment in heterogeneous cellular network |
CN103825677A (en) * | 2014-02-28 | 2014-05-28 | 北京航空航天大学 | Multi-base-station cooperative transmission method used in limited state of backbone network capacity |
CN103856947A (en) * | 2014-02-07 | 2014-06-11 | 西安电子科技大学 | Channel selection-power control combined interference coordination method |
CN104506226A (en) * | 2014-12-16 | 2015-04-08 | 西安交通大学 | Cooperative femtocell-based interference suppressing precoding method in double-layer heterogeneous network |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8675537B2 (en) * | 2008-04-07 | 2014-03-18 | Qualcomm Incorporated | Method and apparatus for using MBSFN subframes to send unicast information |
US8666424B2 (en) * | 2011-04-27 | 2014-03-04 | The Trustees Of Columbia University In The City Of New York | Systems, methods, and media for reducing femtocell interference |
-
2015
- 2015-06-12 CN CN201510319826.9A patent/CN106301494B/en not_active Expired - Fee Related
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2012017601A1 (en) * | 2010-08-03 | 2012-02-09 | パナソニック株式会社 | Femtocell base station and access mode switching method |
CN103491642A (en) * | 2013-09-23 | 2014-01-01 | 西安电子科技大学 | Downlink interference elimination method based on scheduling and interference alignment in heterogeneous cellular network |
CN103856947A (en) * | 2014-02-07 | 2014-06-11 | 西安电子科技大学 | Channel selection-power control combined interference coordination method |
CN103825677A (en) * | 2014-02-28 | 2014-05-28 | 北京航空航天大学 | Multi-base-station cooperative transmission method used in limited state of backbone network capacity |
CN104506226A (en) * | 2014-12-16 | 2015-04-08 | 西安交通大学 | Cooperative femtocell-based interference suppressing precoding method in double-layer heterogeneous network |
Non-Patent Citations (3)
Title |
---|
Downlink cognitive interference alignment for heterogeneous networks;Syed Saqlain Ali等;《2014 21st International Conference on Telecommunications (ICT)》;20140630;全文 * |
Interference Mitigation in Mobile Environment through Power;Reben Kurda等;《2014 IEEE Wireless Communications and Networking Conference (WCNC)》;20141120;全文 * |
对称无线网络下干扰对齐算法的研究;杨敬文等;《上海师范大学学报(自然可选版)》;20150228;第44卷(第1期);全文 * |
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Inventor after: Li Li Inventor after: Yang Jingwen Inventor after: Zhou Xiaoping Inventor after: Wang Zhen Inventor before: Yang Jingwen Inventor before: Li Li Inventor before: Zhou Xiaoping Inventor before: Wang Zhen |
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