Beamspace Channel Estimation for Millimeter Wave Massive MIMO System With Hybrid Precoding and Combining

被引:30
|
作者
Ma, Wenyan [1 ]
Qi, Chenhao [1 ]
机构
[1] Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Millimeter wave communications; channel estimation; hybrid precoding; massive MIMO; beamspace; ARCHITECTURES; 5G;
D O I
10.1109/TSP.2018.2863669
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
In this paper, a framework of beamspace channel estimation in millimeter wave massive MIMO system is proposed. The framework includes the design of hybrid precoding and combining matrix as well as the search method for the largest entry of over-sampled beamspace receiving matrix. Then based on the framework, three channel estimation schemes including identity matrix approximation (IA) based scheme, scattered zero off-diagonal (SZO) based scheme and concentrated zero off-diagonal (CZO) based scheme are proposed. These schemes together with the existing channel estimation schemes are compared in terms of computational complexity, estimation error and total time slots for channel training. Simulation results show that the proposed schemes outperform the existing schemes and can approach the performance of the ideal case. In particular, total time slots for channel training can be substantially reduced.
引用
收藏
页码:4839 / 4853
页数:15
相关论文
共 50 条
  • [1] Model based Beamspace Channel Estimation for Millimeter Wave Massive MIMO System
    Xia, Zhikang
    Qi, Chenhao
    Zhang, Tengxiang
    [J]. 2018 10TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP), 2018,
  • [2] Channel Estimation for Millimeter Wave Massive MIMO System: Proposed Hybrid Optimization with Heuristic-Enabled Precoding and Combining
    Rao, Y. Srinivasa
    Madhu, R.
    [J]. COMPUTER JOURNAL, 2022, 65 (05): : 1211 - 1224
  • [3] Hybrid Precoding for Millimeter Wave Massive MIMO with Analog Combining
    Zhou, Shaoqing
    Xu, Wei
    Zhang, Hua
    You, Xiaohu
    [J]. 2017 9TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP), 2017,
  • [4] Over-sampled Beamspace Channel Estimation for Millimeter Wave Massive MIMO
    Ma, Wenyan
    Qi, Chenhao
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2018,
  • [5] Joint measure matrix and channel estimation for millimeter-wave massive MIMO with hybrid precoding
    Shufeng Li
    Baoxin Su
    Libiao Jin
    Mingyu Cai
    Hongda Wu
    [J]. EURASIP Journal on Wireless Communications and Networking, 2019
  • [6] Sparse Channel Estimation and Hybrid Precoding Using Deep Learning for Millimeter Wave Massive MIMO
    Ma, Wenyan
    Qi, Chenhao
    Zhang, Zaichen
    Cheng, Julian
    [J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 2020, 68 (05) : 2838 - 2849
  • [7] Joint measure matrix and channel estimation for millimeter-wave massive MIMO with hybrid precoding
    Li, Shufeng
    Su, Baoxin
    Jin, Libiao
    Cai, Mingyu
    Wu, Hongda
    [J]. EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2019, 2019 (01)
  • [8] Wideband Channel Estimation for Millimeter Wave Beamspace MIMO
    Cheng, Xiantao
    Deng, Jin
    Li, Shaoqian
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (07) : 7221 - 7225
  • [9] Multiuser Precoding and Channel Estimation for Hybrid Millimeter Wave MIMO Systems
    Zhao, Lou
    Wing, Derrick
    Ng, Kwan
    Yuan, Jinhong
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2017,
  • [10] Deep Learning for Beamspace Channel Estimation in Millimeter-Wave Massive MIMO Systems
    Wei, Xiuhong
    Hu, Chen
    Dai, Linglong
    [J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 2021, 69 (01) : 182 - 193