Usage of Intelligent Optimization Techniques for Estimation of Pareto Optimal Front of Spectral Efficiency-Energy Efficiency Trade-off in Massive MIMO Systems

Energy saving is gaining importance since the deficiency of resources become more critical day by day. This situation brings high energy efficiency to the agenda in the field of cellular communication, as in many other fields. However, the increase in energy efficiency leads to a decrease in the spectral efficiency, thus reducing the area throughput, which is extremely important for cell communication. One of the solutions suggested to this problem is spectral efficiency-energy efficiency optimizations in massive multi-input multi-output systems. In this paper, the determination of the optimum values of the parameters that which play a key role for the aforementioned trade-off by intelligent optimizations has been examined. These values have been compared with true Pareto Optimal Front. The results obtained with the multi-objective firefly algorithm have been more successful than the results obtained with the multi-objective differential evolution algorithm and multi-objective particle swarm optimization.