Title: Design and simulation of MIMO and massive MIMO for 5G mobile communication system

Authors: Arun Kumar

Addresses: Department of Electronics and Communication Engineering, JECRC University, Jaipur 303905, India

Abstract: This study concentrates on the investigation of signal detection by using Zero Forcing (ZF), Minimum Mean Square Error (MMSE) and Beam Forming (BF), for a MIMO and massive MIMO system. Outcomes show that ZF is the modest method for signal detection, though BF gives better Bit Error Rate (BER) performance with some constraints in implementation, but MMSE implementation complexity is reduced by avoiding the matrix inversion in the receiver while sustaining the optimal performance as compared to other conventional methods. For several antennas at the base location, it is too difficult to implement the weight matrix for ZF, still, it is appropriate for BF with the benefit of decent digital signal algorithms. Performance of MIMO and massive MIMO using equalisation is investigated to get the throughput of the system (BER vs. SNR). Results indicate a significant improvement in BER for 16x16 as compared to 4x4, 8x1 and 8x8 antennas at the base station. The other parameters like capacity and Signal Interference Noise Ratio (SINR) are likewise examined for massive MIMO system.

Keywords: beamforming; zero forcing; MMSE; MIMO; massive MIMO; 5G.

DOI: 10.1504/IJWMC.2018.091149

International Journal of Wireless and Mobile Computing, 2018 Vol.14 No.2, pp.197 - 207

Received: 02 Dec 2017
Accepted: 25 Jan 2018
Published online: 11 Apr 2018 *

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