Optimization of Spectral and Energy Efficiencies Trade-Off Using Multi-objective Forest Optimization Algorithm in Massive MIMO Systems

Increasing the area throughput is one of the leading solutions in terms of preventing data traffic density, which is one of the current problems in cellular communication systems. It can be shown that the most effective action to increase the area throughput is to increase the spectral efficiency. However, the measures that can be made to increase the spectral efficiency negatively affect the energy efficiency, which is another critical parameter for cellular communication. In this paper, the conditions of the cells which use massive multi-input multi-output systems have been optimized with multi-objective forest optimization algorithm (MOFOA). The results obtained with MOFOA are compared with the multi-objective genetic algorithm, multi-objective particle swarm optimization, multi-objective differential evolution algorithm and multi-objective firefly algorithm. When the simulation results and performance metrics are examined, it can be seen that MOFOA is a more successful algorithm than other algorithms.