  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. The
theoretical properties of the optimization problem at hand are analyzed and two
provably convergent optimization algorithms with affordable complexity are
proposed. The former achieves the global optimum, while the latter trades off
optimality with a lower computational complexity. Nevertheless, numerical
results show that both algorithms attain global optimality in practical
scenarios.
