Low-Complexity OFDM-Based Hybrid Precoding for Multiuser Massive MIMO Systems

被引：20
|
作者：
Liu, Ying [1 ,2 ]
Wang, Jintao [1 ,2 ]
机构：
[1] Tsinghua Univ, Beijing Natl Res Ctr Informat Sci & Technol, Dept Elect Engn, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Res Inst, Shenzhen 518057, Peoples R China
来源：
IEEE WIRELESS COMMUNICATIONS LETTERS | 2020年 / 9卷 / 03期
关键词：
Precoding; Antennas; Radio frequency; MIMO communication; Optimization; Heuristic algorithms; OFDM; Hybrid precoding; dynamic subarray;
D O I：
10.1109/LWC.2019.2929518
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A low-complexity fully connected hybrid precoding design is proposed for multiuser massive MIMO systems over frequency-selective fading channels. Digital precoding and analog precoding are adaptively designed based on instantaneous channel state information (CSI) and statistical CSI to maximize transmission efficiency. Furthermore, a dynamic partially connected structure and a novel beamforming algorithm are proposed to reduce the power consumption. Our simulation shows a satisfying performance compared with other proposed schemes.
引用
收藏
页码：263 / 266
页数：4
相关论文
共 50 条
  • [1] 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
  • [2] Low-complexity CFO Compensation for OFDM-based Massive MIMO Systems
    Sabeti, Parna
    Farhang, Arman
    Marchetti, Nicola
    Doyle, Linda
    [J]. 2017 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2017,
  • [3] Low-Complexity Hybrid Precoding Analysis in 5G Massive Multiuser MIMO Systems
    Osman, Sawkat
    Mowla, Md Munjure
    [J]. 2019 5TH INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRICAL ENGINEERING (ICAEE), 2019, : 774 - 777
  • [4] Low-complexity signal detection and precoding algorithms for multiuser massive MIMO systems
    Boukharouba, Abdelhak
    Dehemchi, Marwa
    Bouhafer, Asma
    [J]. SN APPLIED SCIENCES, 2021, 3 (02):
  • [5] Low-complexity signal detection and precoding algorithms for multiuser massive MIMO systems
    Abdelhak Boukharouba
    Marwa Dehemchi
    Asma Bouhafer
    [J]. SN Applied Sciences, 2021, 3
  • [6] Low-complexity unsupervised learning-based hybrid precoding for massive MIMO systems
    Liu, Xiang
    [J]. IET COMMUNICATIONS, 2023, 17 (15) : 1773 - 1779
  • [7] Low-Complexity Partially-Connected Hybrid Precoding for Massive MIMO Systems
    Zhu, Ming
    Xie, Gang
    Qi, Xiaolei
    [J]. 2020 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2020,
  • [8] Low-Complexity SSOR-Based Precoding for Massive MIMO Systems
    Xie, Tian
    Dai, Linglong
    Gao, Xinyu
    Dai, Xiaoming
    Zhao, Youping
    [J]. IEEE COMMUNICATIONS LETTERS, 2016, 20 (04) : 744 - 747
  • [9] Low-Complexity Precoding Design for Massive Multiuser MIMO Systems Using Approximate Message Passing
    Chen, Jung-Chieh
    Wang, Chang-Jen
    Wong, Kai-Kit
    Wen, Chao-Kai
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2016, 65 (07) : 5707 - 5714
  • [10] A Low-Complexity Vector Precoding Scheme for Large Multiuser MIMO Systems
    Ding, Wei
    Lv, Tiejun
    Hu, Anzhong
    Su, Sixi
    [J]. 2013 16TH INTERNATIONAL SYMPOSIUM ON WIRELESS PERSONAL MULTIMEDIA COMMUNICATIONS (WPMC), 2013,
12345