Application of Intelligent Optimization Techniques to Spectral and Energy Efficiencies in Massive MIMO Systems at Different Circuit Power Levels

In cellular communications, whose usage continues to increase day by day, it is seen as a necessity the area throughput in order avoid data traffic density problems. For this, aimed spectral efficiency using massive multi-input multi-output systems and also keep energy high. It known that efficiencies can with different number of user equipments served cell, active antennas values transmission power. By intelligent optimization techniques, optimum combinations these three variables be determined samples both high at same time obtained. this paper, multi-objective genetic algorithm, particle swarm differential evolution algorithm are applied on circuit power sets then results obtained evaluated.