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

© The Institution of Engineering and Technology
Received 14/02/2018, Accepted 14/09/2018, Revised 12/06/2018, Published 26/09/2018

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.

Inspec keywords: MIMO communication; precoding; covariance matrices; cellular radio; mean square error methods; signal detection; antenna arrays

Other keywords: power leakage; pilot contamination; channel covariance matrix estimation; massive MIMO networks; practical channel state information; spatial correlation; spectral efficiency; mean-squared error; downlink precoder minimising signal detection error; massive multiple-input multiple-output cellular network; uplink; SEs; pilot symbols; existing estimation method; low-complexity covariance matrix estimation method

Subjects: Communication channel equalisation and identification; Interpolation and function approximation (numerical analysis); Signal processing and detection; Radio links and equipment; Mobile radio systems; Antenna arrays; Other topics in statistics

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