Millimeter Wave MIMO-OFDM With Index Modulation: A Pareto Paradigm on Spectral- Energy Efficiency Trade-Off

Multiple-input multiple-output orthogonal frequency division multiplexing with index modulation (MIMO-OFDM-IM) has recently received increased attention, due to the potential advantage balance trade-off between spectral efficiency (SE) and energy (EE). In this paper, we investigate application of MIMO-OFDM-IM millimeter wave (mmWave) communication systems, where a hybrid analogy-digital (HAD) beamforming architecture is employed. Taking Pareto-optimal beam design, propose feasible solution approximately achieve globally SE EE, collision constraints multi-objective optimization problem (MOP) can be solved efficiently. Correspondingly, MOP SE-EE converted into for energy-efficient resource usage, by finding set (POS) towards Pareto front. This combinatorial-oriented allocation approach on relation considers optimal design power control strategies downlink multi-user mmWave transmission. To ease system performance evaluation, adopt Poisson point process (PPP) model mobile data traffic, evolutionary algorithm applied speed up search Compared benchmarks, experimental results collected from extensive simulations demonstrate that proposed vastly superior existing algorithms.