Zero-Forcing Based Limited Feedback Hybrid Precoding in mmWave Communications

被引:0
|
作者
Gao, Shijian [1 ]
Cheng, Xiang [2 ]
Yang, Liuqing [1 ]
Zhang, Rongqing [3 ]
机构
[1] Colorado State Univ, Dept Elect & Comp Engn, Ft Collins, CO 80523 USA
[2] Peking Univ, Sch Elect Engn & Comp Sci, State Key Lab Adv Opt Commun Syst & Networks, Beijing, Peoples R China
[3] Tongji Univ, Sch Software Engn, Shanghai 201804, Peoples R China
基金
中国国家自然科学基金;
关键词
DESIGN;
D O I
10.1109/iccchina.2019.8855822
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
By exploiting angular sparsity that mmWave channels exhibit, limited feedback hybrid precoding (LFHP) can achieve high performance with a largely reduced system overhead. Most existing works focus on optimizing the system mutual information (SMI), where the receiver complexity is often neglected. More importantly, these SMI-oriented schemes provide no guarantee on the bit error rate (BER) performance, which is a key factor in evaluating system performance. In this paper, we work on devising a BER-oriented LFHP scheme with hybrid structure employed at the receiver. Based on the minimum BER criterion, an optimal zero-forcing based LFHP scheme is first derived when the transmitter has a digital structure. Next, an iterative algorithm is proposed to jointly construct the hybrid analog/digital precoder when both the transceivers employ hybrid structures. Simulations show that with our proposed LFHP scheme, the achieved BER under hybrid transceivers can be very close to the ideal benchmark obtained under one hybrid end.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] On the performance of multiple relay zero-forcing precoding based on limited feedback
    Zeng, Erlin
    Zhu, Shihua
    Wu, Ming
    Feng, Zhenjie
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2008, E91B (08) : 2657 - 2665
  • [2] Impact of limited feedback on multiple relay zero-forcing precoding systems
    Zeng, Erlin
    Zhu, Shihua
    Xu, Ming
    2008 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, PROCEEDINGS, VOLS 1-13, 2008, : 4992 - +
  • [3] Coordinated Regularized Zero-Forcing Precoding for Multicell MISO Systems With Limited Feedback
    Mirza, Jawad
    Smith, Peter J.
    Dmochowski, Pawel A.
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (01) : 335 - 343
  • [4] Distributed Neural Precoding for Hybrid mmWave MIMO Communications With Limited Feedback
    Wei, Kai
    Xu, Jindan
    Xu, Wei
    Wang, Ning
    Chen, Dong
    IEEE COMMUNICATIONS LETTERS, 2022, 26 (07) : 1568 - 1572
  • [5] Joint Multiuser Random Beamforming and Zero-forcing Precoding for SDMA Systems with Limited Feedback
    Yu Bo
    Yang Xiuyan
    Li Jing
    Lv Xiuli
    2011 7TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING (WICOM), 2011,
  • [6] Limited feedback scheme based on Zero-forcing Precoding for Multiuser MIMO-OFDM Downlink Systems
    Chen, Zhiyong
    Wang, Wenbo
    Peng, Mugen
    Caot, Fengming
    2010 5TH ANNUAL ICST WIRELESS INTERNET CONFERENCE (WICON 2010), 2010,
  • [7] Stability of Zero-Forcing SDMA with Limited Feedback
    Huang, Kaibin
    Lau, Vincent K. N.
    TENCON 2009 - 2009 IEEE REGION 10 CONFERENCE, VOLS 1-4, 2009, : 879 - 883
  • [8] Stability and Delay of Zero-Forcing SDMA With Limited Feedback
    Huang, Kaibin
    Lau, Vincent K. N.
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2012, 58 (10) : 6499 - 6514
  • [9] Zero-forcing precoding and generalized inverses
    Wiesel, Ami
    Eldar, Yonina C.
    Shamai , Shlomo
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2008, 56 (09) : 4409 - 4418
  • [10] Zero-Forcing Hybrid Precoding Based on QR-Decomposition in Millimeter Wave Systems
    Gu, Sichen
    Liu, Xu
    Chen, Xinkai
    2017 17TH IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY (ICCT 2017), 2017, : 112 - 116