Multi-Objective Power Minimization Design for Energy Efficiency in Multicell Multiuser MIMO Beamforming System

In this study, we propose a multi-objective power optimization design in a multicell multiuser multiple-input multiple-output (MIMO) beamforming system in the future era of green communications for energy efficiency. First, we consider a multicell multiuser MIMO system with multiple base stations (B...

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Veröffentlicht in:	IEEE transactions on green communications and networking Jg. 4; H. 1; S. 31 - 45
Hauptverfasser:	Chen, Wei-Yu, Hsieh, Po-Ya, Chen, Bor-Sen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.03.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Array signal processing Beamforming Clean energy Computer simulation Constraints Design optimization Downlinking Energy conservation Energy conversion efficiency Energy efficiency Evolutionary algorithms green communication design Interference MIMO (control systems) MIMO communication Minimization multi-objective evolutionary algorithm (MOEA) Multi-objective optimization problem (MOP) multicell multiuser multiple-input multiple-output (MU-MIMO) system Multiple objective analysis Pareto optimization Power consumption Power demand Power efficiency quality of service (QoS) Radio equipment Semidefinite programming Stations Wireless communication
ISSN:	2473-2400, 2473-2400
Online-Zugang:	Volltext
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