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
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