Energy Efficiency in Hybrid Beamforming Large-scale mmWave Multiuser MIMO with Spatial Modulation
Merve Y\"uzge\c{c}cio\u{g}lu, Alessio Zappone, Eduard Jorswieck
TL;DR
This paper addresses energy-efficient resource allocation in large-scale mmWave MIMO systems with hybrid beamforming and spatial modulation, proposing two algorithms with proven convergence and practical optimality.
Contribution
It introduces two novel optimization algorithms for maximizing global energy efficiency in hybrid beamforming mmWave MIMO systems with spatial modulation, with proven convergence and practical effectiveness.
Findings
Both algorithms attain global optimality in practical scenarios.
The first algorithm achieves the global optimum with provable convergence.
The second algorithm offers a lower complexity trade-off with near-optimal results.
Abstract
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.
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