The advent of 5G technology aims to revolutionize wireless
communication by providing significantly higher data rates, ultra-
reliable low latency, and enhanced connectivity. However, optimizing
5G network performance remains a challenging task, particularly in
terms of Bit Error Rate (BER) and spectral efficiency. Multiple-Input
Multiple-Output (MIMO) technology, coupled with beamforming
algorithms, offers a promising solution to these challenges. This study
investigates the application of the Fractional Least Mean Square
(FLMS) algorithm for beamforming in MIMO systems to improve BER
and spectral efficiency in 5G networks. The primary problem addressed
is the need for effective interference mitigation and signal
enhancement in densely populated environments, which traditional
methods struggle to handle. The proposed method utilizes the FLMS
algorithm to dynamically adjust the beamforming weights, thereby
optimizing the signal reception quality. The algorithm's fractional
nature allows for finer adjustments and better adaptation to varying
channel conditions compared to conventional LMS algorithms.
Simulation results show the efficacy of the proposed method.
Specifically, the implementation of the FLMS algorithm in a 4x4
MIMO system shows a reduction in BER by 30% and an improvement
in spectral efficiency by 25% compared to traditional beamforming
techniques. These numerical values highlight the potential of FLMS in
enhancing 5G network performance, making it a viable approach for
future wireless communication systems.
Shambhu Sharan Srivastava1, Syed Ibad Ali2, Ajeet Kumar Srivastava3, Chiranjib Goswami4
School of Management Sciences, India1, Parul Institute of Engineering and Technology, India2, Chhatrapati Shahu Ji Maharaj University, India3, Asansol Engineering College, India4
5G, MIMO, Beamforming, FLMS Algorithm, Spectral Efficiency
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| Published By :
ICTACT
Published In :
ICTACT Journal on Communication Technology
( Volume: 15 , Issue: 2 , Pages: 3173 - 3178 )
Date of Publication :
June 2024
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