Low-Complexity Partially-Connected Hybrid Precoding for Massive MIMO Systems

被引:2
|
作者
Zhu, Ming [1 ]
Xie, Gang [1 ]
Qi, Xiaolei [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Beijing Key Lab Work Safety Intelligent Monitorin, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Massive MIMO; millimeter wave; hybrid precoding; partially-connected structure; BEAMFORMING METHODS; ANALOG;
D O I
10.1109/wcnc45663.2020.9120502
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Hybrid precoding is a promising solution for millimeter-wave (mmWave) massive multi-input multi-output (MIMO) systems. Most prior hybrid precoding algorithms have too high complexity to apply to actual systems. This paper presents a low-complexity partially-connected hybrid precoding algorithm. By directly utilizing phase angle information of the channel matrix, the algorithm at the analog precoding stage requires no complicated calculation and has the lowest complexity among the prior analog precoding algorithms known to the authors. Then the digital precoding is obtained through singular value decomposition (SVD) of the equivalent channel matrix. Simulation results show that the proposed design can achieve a satisfactory achievable rate and is also insensitive to imperfect channel state information (CSI) in mmWave channels.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Iterative Hybrid Precoding and Combining for Partially-Connected Massive MIMO mmWave Systems
    Pang, Lihua
    Wu, Wenjie
    Zhang, Yang
    Gong, Wenrong
    Shang, Minghao
    Chen, Yijian
    Wang, Anyi
    [J]. 2020 IEEE 92ND VEHICULAR TECHNOLOGY CONFERENCE (VTC2020-FALL), 2020,
  • [2] DL-PC algorithm for partially-connected hybrid precoding in massive MIMO systems
    Du, Ruiyan
    Li, Tiangui
    Li, Long
    Lou, Xinyue
    Duan, Zhuoyao
    Liu, Fulai
    [J]. PHYSICAL COMMUNICATION, 2023, 61
  • [3] Hybrid Precoding for Massive MIMO Systems Using Partially-Connected Phase Shifter Network
    Feng, Yimeng
    Jiang, Yi
    [J]. 2019 11TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP), 2019,
  • [4] Low-Complexity Hybrid Precoding in Massive Multiuser MIMO Systems
    Liang, Le
    Xu, Wei
    Dong, Xiaodai
    [J]. IEEE WIRELESS COMMUNICATIONS LETTERS, 2014, 3 (06) : 653 - 656
  • [5] Hybrid precoding based on distributed partially-connected structure for multiuser massive MIMO
    Zhang, Lei
    Wang, Qin
    [J]. Tongxin Xuebao/Journal on Communications, 2022, 43 (01): : 104 - 116
  • [6] Low-complexity hybrid precoding for sub-connected millimeter wave massive MIMO systems
    Zhao, Lei
    Li, Junjie
    Huang, Songkang
    Wu, Xiaoge
    Jiang, Ming
    [J]. Signal Processing, 2024, 219
  • [7] Low-complexity hybrid precoding for sub-connected millimeter wave massive MIMO systems
    Zhao, Lei
    Li, Junjie
    Huang, Songkang
    Wu, Xiaoge
    Jiang, Ming
    [J]. SIGNAL PROCESSING, 2024, 219
  • [8] Low-complexity unsupervised learning-based hybrid precoding for massive MIMO systems
    Liu, Xiang
    [J]. IET COMMUNICATIONS, 2023, 17 (15) : 1773 - 1779
  • [9] Near-Optimal Low-Complexity Hybrid Precoding for THz Massive MIMO Systems
    Sun, Yuke
    Zhang, Aihua
    Yang, Hao
    Tian, Di
    Xia, Haowen
    [J]. KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2024, 18 (04): : 1042 - 1058
  • [10] Low-Complexity OFDM-Based Hybrid Precoding for Multiuser Massive MIMO Systems
    Liu, Ying
    Wang, Jintao
    [J]. IEEE WIRELESS COMMUNICATIONS LETTERS, 2020, 9 (03) : 263 - 266