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The problem of radio resource allocation for global energy efficiency (GEE)maximization in mmWaves large-scale multiple-input multiple-output (MIMO)systems using hybrid-beamforming with spatial modulation is addressed. Thetheoretical properties of the optimization problem at hand are analyzed and twoprovably convergent optimization algorithms with affordable complexity areproposed. The former achieves the global optimum, while the latter trades offoptimality with a lower computational complexity. Nevertheless, numericalresults show that both algorithms attain global optimality in practicalscenarios.

Energy Efficiency in Hybrid Beamforming Large-scale mmWave Multiuser MIMO with Spatial Modulation