f Implementation of Massive Multiple-Input Multiple-Output (MIMO) 5G Communication System using Modified Least-Mean-Square (LMS) Adaptive Filters Algorithm
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Research Article |

Implementation of Massive Multiple-Input Multiple-Output (MIMO) 5G Communication System using Modified Least-Mean-Square (LMS) Adaptive Filters Algorithm

Author(s): Garima Kulshreshtha* and Usha Chauhan

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 12, Issue 3

Publisher : FOREX Publication

Published : 10 August 2024

e-ISSN : 2347-470X

Page(s) : 905-918

DOI: https://doi.org/10.37391/IJEER.120322

Abstract

The massive MIMO systems are the more popular field in the present era for the 5G wireless communication system. The MIMO system is a demanding research topic for the last four decades. This topic is under implementation and observation from the last few years. These systems have many advantages and many research sub-areas but this paper investigates the modified model of the massive MIMO receiver system. The traditional receiver system model of massive MIMO system reduces the channel noise using a linear filter in the receive combiner bank (RCB) but the proposed model removes the channel noise before the RCB using an adaptive filter bank (AFB). The AFB is the combination of LMS adaptive filters. The analysis parameters are channel noise, signal-to-noise ratio (SNR) and bit-error-rate (BER) using the hybrid precoder and combiner computation algorithms – Quantized Sparse Hybrid Beamforming (QSHB) and Hybrid Beamforming Peak Search (HBPS). Therefore, the proposed massive MIMO system model gives the less channel noise in the received signal, higher SNR and lower BER as compared to the traditional massive MIMO receiver systems.

Keywords: Massive MIMO, LMS Adaptive Filters, Channel Noise, SNR, BER.




Garima Kulshreshtha*, School of Electrical, Electronics and Communication Engineering, Galgotias University, Greater Noida (Gautam Buddh Nagar), India; Email: garima.kulshreshtha.gk@gmail.com

Usha Chauhan, School of Electrical, Electronics and Communication Engineering, Galgotias University, Greater Noida (Gautam Buddh Nagar), India; Email: usha.chauhan@galgotiasuniversity.edu.in

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Garima Kulshreshtha and Usha Chauhan (2024), Implementation of Massive Multiple-Input Multiple-Output (MIMO) 5G Communication System using Modified Least-Mean-Square (LMS) Adaptive Filters Algorithm. IJEER 12(3), 905-918. DOI: 10.37391/IJEER.120322.