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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Vydané v:IEEE transactions on green communications and networking Ročník 4; číslo 1; s. 31 - 45
Hlavní autori: Chen, Wei-Yu, Hsieh, Po-Ya, Chen, Bor-Sen
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Piscataway IEEE 01.03.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
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
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Popis
Shrnutí: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 (BSs) and each BS could serve multiple downlink mobile stations (MSs) simultaneously. Second, we formulate a multi-objective optimization problem (MOP) to simultaneously minimize the downlink powers of different groups of cells subject to the signal to interference plus noise ratio (SINR) constraints. An indirect method is proposed to transform the MOP of multi-objective power minimization design of multicell multiuser MIMO beamforming system to a semidefinite programming (SDP)-constrained MOP. In order to efficiently solve the multi-objective power minimization problem with a low computational complexity, a novel multi-objective evolutionary algorithm (MOEA) with modification is proposed to guarantee the global convergence of Pareto optimal solutions. Finally, simulation results are provided to validate the performance and show the superiority of the proposed multi-objective beamforming green design to minimize the downlink power consumption of MIMO beamforming system in different groups of cells simultaneously.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2473-2400
2473-2400
DOI:10.1109/TGCN.2019.2948433