LINEAR ANTENNA ARRAY DESIGN FOR 5G AND BEYOND LEVERAGING GENETIC ALGORITHMS

A REVIEW

Abstract

Antenna plays a pivotal role in telecommunications or any communication system; to this end, researchers are constantly improving on their antenna design models to capture the peculiarities of emerging technologies such as 5G, 6G and beyond. This paper presents a thorough review of linear antenna designs proposed by other researchers capturing fundamental antenna array concepts such as   antenna array principles of operation, classification of antenna arrays, achieving low side lobe level, comparison between 2G, 3G, 4G, 5G and 6G. Nature-inspired optimization technique known as genetic algorithm was introduced in the work to leverage its multi-objective problem solving approach to solve tradeoff issues in designing linear antenna arrays for 5G and other emerging wireless technologies. Furthermore, a tabulation of the strengths and weakness of various techniques and algorithms used by different authors to achieve reduced side lobe level and high gain was done.