Optimizing antenna placement and angles for maximizing coverage and efficiency using PSO

Abstract

Optimizing antenna placement and angles in wireless communication networks is important for maximizing coverage, cost and efficiency. In this paper, we are proposing a novel approach that uses Particle Swarm Optimization (PSO) to find the optimal positions of antenna. PSO, inspired by the social behavior of birds flocking, is an effective and computationally efficient algorithm for solving complex optimization problems. Our method dynamically adjusts the positions and orientations of antennas to enhance signal coverage while minimizing interference and power consumption. After changing the positions, the positions are sent to ANN models to find the optimality. TO predict the efficiency and max coverage area we implemented 2 ANN models one will predict the antenna network coverage area this model is try to maximize the area, and second ANN model will predict the efficiency of the network. Our proposed method improved the coverage area by 129.72265255634784 square meters. And efficiency increased by 9.429660054938921% to the previous one.