Application of NSGA-II Algorithm to Energy and Spectral Efficiency Trade-off in Massive MIMO Systems with Antenna Selection

In the massive multiple input multiple output (MIMO) system with transmit antenna selection, considering large-scale fading and power consumption, the trade-off between energy efficiency (EE) and spectral efficiency (SE) is important for green communication and meeting the traffic request. However, the diversities of the solution spaces (decision and objective domain) which the existing method obtained are not enough. In this paper, we adopt the non-dominated sorting genetic algorithm version II (NSGA-II) algorithm to study the EE-SE trade-off, which is summarized as a multi-objective optimization (MOO) problem. Simulation results show that compared with the weighted-sum particle swarm optimization (WS-PSO) algorithm, NSGA-II has obvious advantages on the diversity of solution set in both decision and objective domains.