Alocação otimizada de estações rádio base para sistemas de radiocomunicação profissionais utilizando algoritmo baseado em enxame de partículas

Abstract

A great challenge in the implementation of radiocommunication networks for Public Safety and Defense is obtaining an optimal positioning for the Radio Base Stations (RBSs). due to the number of variables needed to analyze these positions, this problem is recognized in the literature as of high computational complexity. Normally, to carry out the studies, only radio propagation forecasting tools were used. However, these solutions usually depend on the expe- rience and intuition of the designer to define the best location for the ERBs. In this work, we are presenting an alternative solution based on the heuristic method, known as particle swarm optimization, in which a function fitness is optimized considering weighted form, coverage and economy. The model of Longley - Rice propagation was used based on a comparison with medications performed in field. For a study region of 1,806 km2, the performance of the algo- rithm showed good results, when taken into account the modeling used, with the possibility of allocation of four ERBs with percentages greater than 90.