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 PDF

Info

Publication number
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
Authority
CN
China
Prior art keywords
femtocell
user
interference
precoding
matrix
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201510319826.9A
Other languages
Chinese (zh)
Other versions
CN106301494A (en
Inventor
李莉
杨敬文
周小平
王珍
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Normal University
Original Assignee
Shanghai Normal University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Normal University filed Critical Shanghai Normal University
Priority to CN201510319826.9A priority Critical patent/CN106301494B/en
Publication of CN106301494A publication Critical patent/CN106301494A/en
Application granted granted Critical
Publication of CN106301494B publication Critical patent/CN106301494B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413MIMO systems
    • H04B7/0456Selection 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

The interference management method for precoding of multi-user is directed in a kind of heterogeneous network
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.
CN201510319826.9A 2015-06-12 2015-06-12 The interference management method for precoding of multi-user is directed in a kind of heterogeneous network Expired - Fee Related CN106301494B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510319826.9A CN106301494B (en) 2015-06-12 2015-06-12 The interference management method for precoding of multi-user is directed in a kind of heterogeneous network

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510319826.9A CN106301494B (en) 2015-06-12 2015-06-12 The interference management method for precoding of multi-user is directed in a kind of heterogeneous network

Publications (2)

Publication Number Publication Date
CN106301494A CN106301494A (en) 2017-01-04
CN106301494B true CN106301494B (en) 2019-10-11

Family

ID=57660055

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510319826.9A Expired - Fee Related CN106301494B (en) 2015-06-12 2015-06-12 The interference management method for precoding of multi-user is directed in a kind of heterogeneous network

Country Status (1)

Country Link
CN (1) CN106301494B (en)

Citations (5)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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

Patent Citations (5)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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 *

Also Published As

Publication number Publication date
CN106301494A (en) 2017-01-04

Similar Documents

Publication Publication Date Title
Liu et al. Hybrid half-duplex/full-duplex cooperative non-orthogonal multiple access with transmit power adaptation
D'Andrea et al. Cell-free massive MIMO for UAV communications
Pang et al. Uplink precoding optimization for NOMA cellular-connected UAV networks
Katwe et al. Dynamic user clustering and optimal power allocation in UAV-assisted full-duplex hybrid NOMA system
CN106465365A (en) Multi-user, multiple access, systems, methods, and devices
CN102055563B (en) Adaptive joint linear precoding method applicable to multi-base station coordination
CN106452622B (en) A kind of nonopiate multi-access method based on time division multiplexing multiple antennas downlink
CN105634571A (en) Pilot frequency pollution reduction method based on partial pilot frequency multiplexing in large-scale MIMO system
CN103825677B (en) A kind of backbone capacity is by multi-base station cooperative transmission method in limited time
Shi et al. Pairing and power allocation for downlink nonorthogonal multiple access systems
CN102647728A (en) Method for beam forming of down link, transmitting terminal and multi-cell cooperative system
Shin et al. Hierarchical interference alignment for heterogeneous networks with multiple antennas
CN104125577B (en) A kind of interference management strategy under cognitive double-deck heterogeneous network system
CN103607260B (en) System total interference leakage minimum pre-coding matrix group selection algorithm based on MIMO
CN106341168B (en) Method for precoding, method for sending information and its device
Yin et al. Joint device assignment and power allocation in multihoming heterogeneous multicarrier NOMA networks
CN106301494B (en) The interference management method for precoding of multi-user is directed in a kind of heterogeneous network
CN103346867B (en) Multiple cell multi-user's co-channel interference suppression method based on triangle decomposition and SLNR algorithm
CN102625321B (en) Base station from home group network system and method
CN114928385A (en) Frequency spectrum efficiency improving method based on simultaneous same-frequency full duplex D2D communication
Sahin et al. Interference mitigation via successive cancellation in heterogeneous networks
Maltsev et al. Performance evaluation of interference mitigation techniques in the overlaying MmWave small cell network
Liu et al. Semi-dynamic cooperative cluster selection for downlink coordinated beamforming systems
Schoenen et al. System level performance evaluation of LTE with MIMO and relays in reuse-1 IMT-Advanced scenarios
Wang et al. Cooperative SWIPT transmission in overlay multi-antennas hierarchical cognitive radio networks

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
CB03 Change of inventor or designer information
CB03 Change of inventor or designer information

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

GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20191011