Sub-array based antenna selection scheme for massive mimo in 5g

Abstract

With rapidly increased throughput demand, operators are rapidly improving coverage and capacity with cost effective techniques in wireless communication network. Developments in technology enables advanced antenna system to be scalable across 5G and future wireless networks. Massive MIMO based advance antenna selection techniques provide powerful and affordable methods that are effective approaches for coverage and capacity of consumers. Prerequisites of an optimal communication system grow quickly, and therefore operators require more facilities to meet their needs. It is necessity to serve many operators and various devices at the same time in the integrated zone, while providing fast speed and consistent performance, makes it the boosting technology yard to meet the requirements of the 5G era. In this paper, we propose a Sub-array based Antenna Selection Scheme (SASS) for massive MIMO based on sub-array switching architecture which is beneficially helpful to achieve optimal throughput, energy efficiency and capacity. Moreover, SASS is cost effective technique which reduces the overall cost of system including computational, communication, and hardware impairments. We have validated our work using MATLAB and results are compared for spectral efficiency when number of antennas and Signal to noise ratio are varied. Results prove the dominance of SASS over counterparts.