Evolutionary and Adaptive Algorithm Based Hybrid Beamforming Design for Massive MIMO System

Abstract

In last few years, there is a tussle between wireless communication network capacity and escalating growth of teletraffic. Evolution of a technology should have harmony with environment. Proliferation of mobile traffic accompanied with power emission results in global carbon footprint quantification. Controlling transmission energy at base station and mobile phones is mandatory. Therefore beamforming technique is desideratum. Due to the wide spread usage of tablet computer, smart automation system with Internet of things (IoT) platform adaptive beamforming technique viz. Smart Antenna was introduced for anti-interference. newlineSmart antenna or array processing is an area where signal processing is performed on the signals received from an array of antenna. In signal processing, algorithms are implemented in such a way that extracts the signal of interest removing all other interference including noise. The area of smart antenna has wider scope in applications like wireless communication, sonar, radar etc. which has set goal or objectives for the researcher for continuous improvement in performance of the system. In last several decades literature, numerous algorithms related to adaptive array processing have been reported. All these algorithms exhibit a trade-off between required computational performance and complexity, in general. newlineThe objective of the research work is to investigate the effect of optimization algorithm in hybridization with evolutionary algorithms in controlling array of antenna adaptively in Massive MIMO system. Smart antenna angular pattern is based on a number of antenna elements, their physical placement with distance between two elements, their relative amplitude and phases. In the present work, antenna geometry selected is Uniform Linear Array (ULA). Before directing beam to a specific direction, it is very important to understand the Angle of Arrival (AoA) or Direction of Arrival (DoA). Once AoA is received, optimization for adaptive beamforming starts. newlineHybridization of Beamforming and Evolu