Design of Energy and Power Efficient Adaptive Beamforming Technique in Massive MIMO for 5G

Energy efficiency and Power efficiency are becoming crucial design parameters. In the present scenario, the extensive employment of MIMO (Multiple-Input Multiple-Output) will act as a crucial facilitator for the implementation of 5G technology. In the framework of wireless communication systems, (MIMO) technology involves, increased spectrum usage and power efficiency through the usage of a large quantity of antennas located at Base Stations. This study presents a comprehensive analysis of contemporary techniques aimed at enhancing the benefits associated with energy and power efficiency within the framework of massive MIMO systems. The objective of this research is to assess the efficiency of a method known as adaptive Beamforming. In this setting, adaptive Beamforming is carried out using a Machine Learning platform that can effectively create highly directed beams on request as a means of coping with a variety of traffic situations.

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Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/delcon64804.2024.10866171
Primary Topic
Advanced MIMO Systems Optimization
Type
article
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article

Design of Energy and Power Efficient Adaptive Beamforming Technique in Massive MIMO for 5G

P. Dhinakar, G. Kanagavalli
Advanced MIMO Systems Optimization
article

Design of Energy and Power Efficient Adaptive Beamforming Technique in Massive MIMO for 5G

P. Dhinakar, G. Kanagavalli
article en

Abstract

Energy efficiency and Power efficiency are becoming crucial design parameters. In the present scenario, the extensive employment of MIMO (Multiple-Input Multiple-Output) will act as a crucial facilitator for the implementation of 5G technology. In the framework of wireless communication systems, (MIMO) technology involves, increased spectrum usage and power efficiency through the usage of a large quantity of antennas located at Base Stations. This study presents a comprehensive analysis of contemporary techniques aimed at enhancing the benefits associated with energy and power efficiency within the framework of massive MIMO systems. The objective of this research is to assess the efficiency of a method known as adaptive Beamforming. In this setting, adaptive Beamforming is carried out using a Machine Learning platform that can effectively create highly directed beams on request as a means of coping with a variety of traffic situations.

Bharath University (IN)
Affordable and clean energy
Openalex Percentile: Top 75%
Advanced MIMO Systems Optimization
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