CLUSTERINGFOR COORDINATED ZERO-FORCING BEAMFORMINGIN MULTI-USER INTERFERENCE NETWORKS

被引:0
|
作者
Gao, Weidong [1 ]
He, Shengjie [1 ]
Chuai, Gang [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Beijing 100876, Peoples R China
关键词
Clustering; Multi-userinterference; Coordinated zero-forcing; ALIGNMENT;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Zero-Forcing (ZF) algorithm is used to eliminate interference in small scale interference network. With the number of users increasing, the traditional ZF algorithm does not work effectively due to the fact that the channel matrix cannot provide sufficient dimensions to isolate interference. In this paper, we propose a Coordinated Zero-Forcing Beamforming with Clustering(CZFC) scheme to improve the defects of traditional ZF algorithm. Firstly, users are partitioned into clusters accordingto clustering rule that inter-cluster interference can almost be neglected, then CZF is applied to each cluster, respectively. Simulation results show that the proposed scheme can significantly increase system capacity, and at the same time, the proposed algorithm has low complexity. In most cases, it will be able to converge after three iterations.
引用
收藏
页码:322 / 326
页数:5
相关论文
共 50 条
  • [1] On the Optimality of Multi-User Coordinated Zero-Forcing Beamforming Multicell Systems with Limited Feedback in Interference Channels
    Balaji, S.
    Mallick, P. S.
    [J]. WIRELESS PERSONAL COMMUNICATIONS, 2018, 98 (01) : 521 - 540
  • [2] On the Optimality of Multi-User Coordinated Zero-Forcing Beamforming Multicell Systems with Limited Feedback in Interference Channels
    S. Balaji
    P. S. Mallick
    [J]. Wireless Personal Communications, 2018, 98 : 521 - 540
  • [3] Multi-User Regularized Zero-Forcing Beamforming
    Nguyen, Long D.
    Hoang Duong Tuan
    Duong, Trung Q.
    Poor, H. Vincent
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2019, 67 (11) : 2839 - 2853
  • [4] Zero-Forcing Transceiver Design in the Multi-User MIMO Cognitive Relay Networks
    Zhang, Guangchi
    Li, Guangping
    Luo, Liping
    Huang, Gaofei
    [J]. 2013 8TH INTERNATIONAL ICST CONFERENCE ON COMMUNICATIONS AND NETWORKING IN CHINA (CHINACOM), 2013, : 663 - 668
  • [5] Zero-Forcing Throughput Maximization for Regenerative Multi-User Relaying
    Kaleva, Jarkko
    Tolli, Antti
    Juntti, Markku
    [J]. 2012 IEEE 13TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC), 2012, : 434 - 438
  • [6] Zero-forcing based multi-user MIMO coordinated with user-wise joint transmit-receive diversity
    Adachi, Fumiyuki
    Takahashi, Ryo
    [J]. IEICE COMMUNICATIONS EXPRESS, 2021, 10 (03): : 179 - 185
  • [7] Optimal Training in Large TDD Multi-user Downlink Systems under Zero-forcing and Regularized Zero-forcing Precoding
    Wagner, Sebastian
    Couillet, Romain
    Debbah, Merouane
    Slock, Dirk T. M.
    [J]. 2010 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE GLOBECOM 2010, 2010,
  • [8] Stochastic Geometry Analysis of Multi-User MIMO Cellular Networks Using Zero-Forcing Precoding
    Lu, Wei
    Di Renzo, Marco
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2015, : 1477 - 1482
  • [9] Least-squares zero-forcing user-ordered successive interference cancellation for multi-user STBC systems
    Fan, X
    Xu, YY
    Luo, HW
    Huang, JG
    [J]. IEICE TRANSACTIONS ON ELECTRONICS, 2005, E88C (12) : 2330 - 2337
  • [10] Asymptotic Performance of Two-User Interference Channels Using Coordinated Zero-Forcing
    Wang, Hairong
    Huang, Yongming
    Wong, Kai-Kit
    Yang, Luxi
    [J]. IEEE COMMUNICATIONS LETTERS, 2012, 16 (05) : 608 - 611