Optimization of Power Consumption in 4G LTE Networks Using a Novel Barebones Self-adaptive Differential Evolution Algorithm

Sotirios K. Goudos (), Margot Deruyck (), David Plets (), Luc Martens () and Wout Joseph ()
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Sotirios K. Goudos: Aristotle University of Thessaloniki
Margot Deruyck: Ghent University/iMinds
David Plets: Ghent University/iMinds
Luc Martens: Ghent University/iMinds
Wout Joseph: Ghent University/iMinds

Telecommunication Systems: Modelling, Analysis, Design and Management, 2017, vol. 66, issue 1, No 8, 109-120

Abstract: Abstract The power consumption of wireless access networks is an important issue. In this paper, the power consumption of Long Term Evolution (LTE) base stations is optimized. We consider the city of Ghent, Belgium with 75 possible LTE base station locations. We optimize the network towards two objectives: the coverage maximization and the power consumption minimization. We propose a new Barebones Self-adaptive Differential Evolution. The results of the proposed method indicate the advantages and applicability of our approach.

Keywords: Power consumption; Base stations; Coverage; LTE; Differential evolution; Barebones differential evolution (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s11235-017-0279-2

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