Billiards Inspired Optimization Algorithm for Optimal Antenna Selection

Abstract

In both the telecommunication industry and academia, massive Multiple-Input Multiple-Output (MIMO) is a highly developed technology in wideband wireless communication system's prospects that incite widespread concentration. In the massive MIMO system, pilot contamination is considered a basic problem. The modeling of wireless systems possesses an important problem over system throughput. Even though, environmental security, and energy-saving, considered predictable developments and universal demands. Therefore, by representing all these results, this work aims to develop a novel billiards-inspired optimization technique to choose the best transmit antennas chosen by taking into consideration of multi-objective issue which increases both relative energy effectiveness and capability. Actually, the developed method optimally tunes a number of transmit antennas and decides which antenna to be chosen. At last, proposed work performance is evaluated and shown with existing techniques with respect to the relative efficiency analysis, capacity analysis, and optimal antenna selection analysis.

Hybrid optimization algorithm for optimal designing of microstrip patch antenna

“…Several researchers are concerned with modeling wideband/broadband microstrip antennas by means of various methods like novel patch antennas designs and shapes, deploying diverse feeding techniques, deploying diverse slot structures, shorting pins, imperfect ground planes, meta material, electromagnetic bandgap materials, etc 27,28 . Now‐a‐days optimization methods are most widely used 29 . Broadband patch antennas, multiband patch antennas, and tiny patch antennas have all been designed using GA 30 .…”

“…27,28 Now-a-days optimization methods are most widely used. 29 Broadband patch antennas, multiband patch antennas, and tiny patch antennas have all been designed using GA. 30 It is a reliable stochastic-based search approach that can manage electromagnetic optimization issues' typical properties, which are difficult to manage by other conventional optimization methods. 31,32 An antenna's performance is determined by the antenna's size, operating frequency, substrate material and height, patch thickness, and various antenna feeding procedures.…”