Spectral efficiency of massive MIMO networks with pilot contamination and channel covariance matrix estimation

被引:4
|
作者
Zhang, Xiaoqing [1 ]
Wu, Shangbin [2 ]
Yu, Shanshan [1 ]
Liu, Ju [1 ]
机构
[1] Shandong Univ, Sch Informat Sci & Engn, Jinan, Shandong, Peoples R China
[2] Samsung R&D Inst UK, Staines Upon Thames TW18 4QE, England
基金
中国国家自然科学基金;
关键词
cellular radio; MIMO communication; antenna arrays; signal detection; mean square error methods; covariance matrices; precoding; pilot symbols; mean-squared error; existing estimation method; low-complexity covariance matrix estimation method; spatial correlation; power leakage; downlink precoder minimising signal detection error; practical channel state information; uplink; massive multiple-input multiple-output cellular network; SEs; channel covariance matrix estimation; pilot contamination; massive MIMO networks; spectral efficiency;
D O I
10.1049/iet-com.2018.5032
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
This study addresses spectral efficiencies (SEs) in a massive multiple-input multiple-output cellular network with pilot contamination. Both uplink and downlink SEs are investigated with practical channel state information. A downlink precoder minimising signal detection error and power leakage with considerations on spatial correlation has been derived. Also, a low-complexity covariance matrix estimation method has been proposed and compared with the existing estimation method in terms of normalised mean-squared error. It has been demonstrated via simulations that both uplink and downlink SEs using the proposed covariance matrix estimation method can grow with the number of antennas even with a relatively small number of pilot symbols.
引用
收藏
页码:59 / 65
页数:7
相关论文
共 50 条
  • [1] On Channel Estimation for Massive MIMO With Pilot Contamination
    Khansefid, Amin
    Minn, Hlaing
    IEEE COMMUNICATIONS LETTERS, 2015, 19 (09) : 1660 - 1663
  • [2] Data Aided Channel Estimation for Massive MIMO with Pilot Contamination
    Ju, Meiyan
    Xu, Lu
    Jin, Lu
    Huang, David
    2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2017,
  • [3] Effect of Pilot Contamination on Channel Estimation in Massive MIMO Systems
    Xu, Peng
    Wang, Jinkuan
    Wang, Jiangzhou
    2013 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP 2013), 2013,
  • [4] Covariance Matrix Estimation for Massive MIMO
    Upadhya, Karthik
    Vorobyov, Sergiy A.
    IEEE SIGNAL PROCESSING LETTERS, 2018, 25 (04) : 546 - 550
  • [5] Covariance Matrix Estimation in Massive MIMO
    Neumann, David
    Joham, Michael
    Utschick, Wolfgang
    IEEE SIGNAL PROCESSING LETTERS, 2018, 25 (06) : 863 - 867
  • [6] Joint Covariance Matrix Estimation and Pilot Allocation in Massive MIMO Systems
    Neumann, David
    Shibli, Kamel
    Joham, Michael
    Utschick, Wolfgang
    2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2017,
  • [7] Spectral efficiency enhancement in Massive MIMO system under pilot contamination
    Ali, Waleed A.
    Anis, Wagdy R.
    Elshenawy, Hamed A.
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2020, 33 (08)
  • [8] Channel estimation for pilot contamination in massive MIMO-NOMA system
    Gollagi, Shantappa G.
    Maheswari, S. S.
    Sapkale, Pallavi, V
    Poojitha, Sabbineni
    JOURNAL OF HIGH SPEED NETWORKS, 2024, 30 (03) : 355 - 373
  • [9] On Channel Estimation for Massive MIMO with Pilot Contamination and Multipath Fading Channels
    de Figueiredo, Felipe A. P.
    Mathilde, Fabiano S.
    Santos, Fabricio P.
    Cardoso, Fabbryccio A. C. M.
    Fraidenraich, Gustavo
    2016 8TH IEEE LATIN-AMERICAN CONFERENCE ON COMMUNICATIONS (LATINCOM), 2016,
  • [10] Deep Learning Aided Channel Estimation for Massive MIMO with Pilot Contamination
    Hirose, Hiroki
    Ohtsuki, Tomoaki
    Gui, Guan
    2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2020,