Error performance analysis of linear zero forcing and MMSE precoders for MIMO broadcast channels

被引:54
|
作者
Shao, X. [1 ]
Yuan, J.
Shao, Y.
机构
[1] Univ New S Wales, Sch Elect Engn & Telecommun, Sydney, NSW 2052, Australia
[2] Kunming Univ Sci & Technol, Fac Informat Engn & Automat, Kunming, Peoples R China
关键词
D O I
10.1049/iet-com:20070037
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
Linear precoding (LP) techniques for a multiuser multiple-input-multiple-output broadcast channel is investigated and analytical results of the achievable sum capacity and error performance for zero forcing (ZF) linear precoders is presented. It is shown that the detection signal-to-noise ratio of ZF-LP can be accurately approximated by a shrinking Chi-square distribution. The symbol error rate and its achievable diversity gain of ZF-LP are given. Then, an improved linear precoder based on the minimum mean-square error (MMSE) criterion is derived. Its error performance and sum capacity are analysed and compared with that of the ZF-LP. It is shown that the MMSE-LP can achieve much better error performance and a high sum capacity than the existing ZF-LP.
引用
收藏
页码:1067 / 1074
页数:8
相关论文
共 50 条
  • [41] Zero-Forcing Precoding with Partially Outdated CSI Over Time-Varying MIMO Broadcast Channels
    Bashar, Manijeh
    Eslami, Mohsen
    Dehghani, Mohammad Javad
    2013 IEEE 77TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2013,
  • [43] Sum-Rate Capacity Analysis of the MIMO Broadcast Scheduling System with Zero-Forcing Receivers under Channel Estimation Error
    Lee, Donghun
    Kim, Kiseon
    IEEE COMMUNICATIONS LETTERS, 2010, 14 (03) : 223 - 225
  • [44] Large-System Analysis of Joint User Selection and Vector Precoding with Zero-Forcing Transmit Beamforming for MIMO Broadcast Channels
    Takeuchi, Keigo
    Muller, Ralf R.
    Kawabata, Tsutomu
    2012 INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY AND ITS APPLICATIONS (ISITA 2012), 2012, : 245 - 249
  • [45] Performance of Massive MIMO Uplink With Zero-Forcing Receivers Under Delayed Channels
    Papazafeiropoulos, Anastasios K.
    Hien Quoc Ngo
    Ratnarajah, Tharmalingam
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (04) : 3158 - 3169
  • [46] A Zero-Forcing Linear Precoder for Downlink Multi-user LoS MIMO Channels
    Alimadadi, Mohammadreza
    Mohammadi, Abbas
    Abdipour, Abdolali
    Soltani, Mohammad Dehghani
    2012 SIXTH INTERNATIONAL SYMPOSIUM ON TELECOMMUNICATIONS (IST), 2012, : 128 - 133
  • [47] Performance and Analysis of Downlink Multiuser MIMO Systems With Regularized Zero-Forcing Precoding in Ricean Fading Channels
    Tataria, Harsh
    Smith, Peter J.
    Greenstein, Larry J.
    Dmochowski, Pawel A.
    Shafi, Mansoor
    2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2016,
  • [48] Regularized Zero-Forcing for Multiantenna Broadcast Channels with User Selection
    Wang, Zijian
    Chen, Wen
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2012, 1 (02) : 129 - 132
  • [49] Linear precoding with known interference for MIMO broadcast channels
    Yang, X. M.
    Xiong, Y.
    ELECTRONICS LETTERS, 2011, 47 (13) : 778 - U74
  • [50] Weighted Sum Rate Maximization for MIMO Broadcast Channels Using Dirty Paper Coding and Zero-forcing Methods
    Le-Nam Tran
    Juntti, Markku
    Bengtsson, Mats
    Ottersten, Bjorn
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2013, 61 (06) : 2362 - 2373