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
  • [11] Low Complexity Beam Selection for Sparse Massive MIMO Systems
    Valdugal, Samuel T.
    Deneire, Luc
    de Almeida, Andre L. F.
    Maciel, Tarcisio F.
    Aparicio-Pardo, Ramon
    2017 INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS (ISWCS), 2017, : 414 - 419
  • [12] Closed-loop Beamspace MIMO Systems with Low Hardware Complexity
    Barousis, Vlasis
    Kanatas, Athanasios G.
    Kalis, Antonis
    Papadias, Constantinos
    2009 IEEE VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-5, 2009, : 1079 - +
  • [13] Low complexity user selection algorithms for multiuser MIMO systems with block diagonalization
    Shen, Zukang
    Chen, Runhua
    Andrews, Jeffrey G.
    Heath, Robert W., Jr.
    Evans, Brian L.
    2005 39TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, VOLS 1 AND 2, 2005, : 628 - 632
  • [14] Low complexity user selection algorithms for multiuser MIMO systems with block diagonalization
    Shen, Zukang
    Chen, Runhua
    Andrews, Jeffrey G.
    Heath, Robert W., Jr.
    Evans, Brian L.
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (09) : 3658 - 3663
  • [15] Nested Beam Selection Algorithm in Beamspace Millimeter Wave Massive MIMO System
    He Hua
    Jiang Jing
    Liang Yanxia
    2020 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC WORKSHOPS), 2020, : 134 - 138
  • [16] Simultaneous Beam and User Selection for the Beamspace mmWave/THz Massive MIMO Downlink
    Wu, Kai
    Zhang, J. Andrew
    Huang, Xiaojing
    Guo, Y. Jay
    Hanzo, Lajos
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2023, 71 (03) : 1785 - 1797
  • [17] A decentralized beam selection for mmWave beamspace multi-user MIMO system
    Pal, Rahul
    Sarawadekar, K. P.
    Srinivas, K., V
    AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2019, 111
  • [18] Beam management for millimeter wave beamspace MU-MIMO systems
    Xue, Qing
    Fang, Xuming
    Xiao, Ming
    2017 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC), 2017, : 510 - 515
  • [19] An Analysis of Low Complexity Algorithms for MIMO Antenna Selection
    Smith, Peter J.
    King, Tim W.
    Garth, Lee M.
    Dohler, Mischa
    2006 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-12, 2006, : 1380 - 1385
  • [20] Swish-Driven GoogleNet for Intelligent Analog Beam Selection in Terahertz Beamspace MIMO
    Hosein, Zarini
    Mohammad, Robat Mili
    Rasti, Mehdi
    Andreev, Sergey
    Nardelli, Pedro H. J.
    2022 IEEE 95TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-SPRING), 2022,