2018/06/13 by Merve Yüzgeçcioğlu, Alessio Zappone, Yüzgeçcioğlu, Merve +3
Engineering · #Advanced MIMO Systems Optimization #Antenna Design and Analysis #FOS: Computer and information sciences #Information Theory (cs.IT) #Millimeter-Wave Propagation and Modeling
paper · pdf · doi:10.48550/arxiv.1806.04906
openalex publication_date 2018/06/13 · openalex created_date 2019/07/30 · openalex updated_date 2026/07/28
The problem of radio resource allocation for global energy efficiency (GEE)\nmaximization in mmWaves large-scale multiple-input multiple-output (MIMO)\nsystems using hybrid-beamforming with spatial modulation is addressed. The\ntheoretical properties of the optimization problem at hand are analyzed and two\nprovably convergent optimization algorithms with affordable complexity are\nproposed. The former achieves the global optimum, while the latter trades off\noptimality with a lower computational complexity. Nevertheless, numerical\nresults show that both algorithms attain global optimality in practical\nscenarios.\n