On the Complexity Reduction of Beam Selection Algorithms for Beamspace MIMO Systems

被引:11
作者
Zhang, Qianyun [1 ]
Li, Xinwei [1 ]
Wu, Bi-Yi [2 ]
Cheng, Lei [3 ]
Gao, Yue [4 ]
机构
[1] Beihang Univ, Sch Cyber Sci & Technol, Beijing 100191, Peoples R China
[2] Beijing Inst Technol, Sch Informat & Elect, Ctr Electromagnet Simulat, Beijing 100081, Peoples R China
[3] Shenzhen Res Inst Big Data, Dept Intelligent Informat Syst, Shenzhen 518000, Peoples R China
[4] Univ Surrey, Dept Elect & Elect Engn, Guildford GU2 7XH, Surrey, England
基金
中国国家自然科学基金;
关键词
Beam selection; high dimensional multiuser-MIMO; beamspace; precoding; beamforming;
D O I
10.1109/LWC.2021.3069650
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Beamspace multiple-input multiple-output (B-MIMO) provides a promising solution for reducing the number of required expensive radio frequency (RF) chains without obvious performance loss. However, the high computational complexities of beam selection algorithms prohibits their practical applications in 5G millimeter wave (mmWave) massive MIMO communication systems. Reviewing existing beam selection procedures and using the matrix perturbation theory, the complexity reduction on beam selection for beamspace MIMO is considered in this letter. Two beam selection algorithms, one for B-MIMO systems with classic zero-forcing (ZF) precoder and the other for the systems with QR precoder are proposed. Theoretical analyses and numerical simulations all show that the proposed beam selection algorithms possess a much lower complexity than conventional ones.
引用
收藏
页码:1439 / 1443
页数:5
相关论文
共 50 条
  • [31] RF-Chains Reduction by Beamspace MIMO to Achieve Near-Optimal Performance: An Overview
    Majeed, Ammar A.
    Hburi, Ismail
    AL-Shaeli, Intisar
    PROCEEDING OF THE 2ND 2022 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (CSASE 2022), 2022, : 138 - 143
  • [32] A Beam Selection Algorithm for Millimeter-Wave Multi-User MIMO Systems
    Pal, Rahul
    Srinivas, K. V.
    Chaitanya, A. Krishna
    IEEE COMMUNICATIONS LETTERS, 2018, 22 (04) : 852 - 855
  • [33] Compressive Sensing (CS) Assisted Low-Complexity Beamspace Hybrid Precoding for Millimeter-Wave MIMO Systems
    Chen, Chiang-Hen
    Tsai, Cheng-Rung
    Liu, Yu-Hsin
    Hung, Wei-Lun
    Wu, An-Yeu
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2017, 65 (06) : 1412 - 1424
  • [34] Fast Channel Tracking for Terahertz Beamspace Massive MIMO Systems
    Gao, Xinyu
    Dai, Linglong
    Zhang, Yuan
    Xie, Tian
    Dai, Xiaoming
    Wang, Zhaocheng
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (07) : 5689 - 5696
  • [35] Beam Selection in mm-Wave Multiuser MIMO Systems Using Compressive Sensing
    Choi, Jinho
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2015, 63 (08) : 2936 - 2947
  • [36] Angle Estimation in Monostatic MIMO Radar with Low-Complexity Beamspace Unitary ESPRIT
    徐丽琴
    李勇
    Journal of Shanghai Jiaotong University(Science), 2018, 23 (02) : 256 - 263
  • [37] Angle Estimation in Monostatic MIMO Radar with Low-Complexity Beamspace Unitary ESPRIT
    Xu L.
    Li Y.
    Journal of Shanghai Jiaotong University (Science), 2018, 23 (02) : 256 - 263
  • [38] Heuristic Search Inspired Beam Selection Algorithms for mmWave MU-MIMO System With Discrete Lens Array
    Wang, Dehao
    Zhang, Wenbin
    Zhu, Qiuyue
    IEEE ACCESS, 2021, 9 : 61324 - 61333
  • [39] Comparison of beam selection and antenna selection techniques in indoor MIMO systems at 5.8 GHz
    Jiang, JS
    Ingram, MA
    BOSTON 2003 RADIO & WIRELESS RAWCON CONFERENCE, PROCEEDINGS, 2003, : 179 - 182
  • [40] An Adaptive Sequential Competition Test for Beam Selection in Massive MIMO Systems
    Marandi, Mostafa Khalili
    Rave, Wolfgang
    Fettweis, Gerhard
    2018 IEEE 10TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM), 2018, : 104 - 108