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Optimization of power consumption in 4G LTE networks using a novel barebones self-adaptive differential evolution algorithm

Sotirios K Goudos, Margot Deruyck UGent, David Plets UGent, Luc Martens UGent and Wout Joseph UGent (2017) TELECOMMUNICATION SYSTEMS. 66(1). p.109-120
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.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
keyword
WIRELESS ACCESS NETWORKS, STRATEGY ADAPTATION, DESIGN, TRENDS, Power consumption, Base stations, Coverage, LTE, Differential evolution, Barebones differential evolution
journal title
TELECOMMUNICATION SYSTEMS
Telecommun. Syst.
volume
66
issue
1
pages
12 pages
publisher
Springer
place of publication
Dordrecht
Web of Science type
Article
Web of Science id
000406372300008
ISSN
1018-4864
1572-9451
DOI
10.1007/s11235-017-0279-2
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
8529926
handle
http://hdl.handle.net/1854/LU-8529926
date created
2017-08-30 13:49:15
date last changed
2017-09-06 07:28:28
@article{8529926,
  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.},
  author       = {Goudos, Sotirios K and Deruyck, Margot and Plets, David and Martens, Luc and Joseph, Wout},
  issn         = {1018-4864},
  journal      = {TELECOMMUNICATION SYSTEMS},
  keyword      = {WIRELESS ACCESS NETWORKS,STRATEGY ADAPTATION,DESIGN,TRENDS,Power consumption,Base stations,Coverage,LTE,Differential evolution,Barebones differential evolution},
  language     = {eng},
  number       = {1},
  pages        = {109--120},
  publisher    = {Springer},
  title        = {Optimization of power consumption in 4G LTE networks using a novel barebones self-adaptive differential evolution algorithm},
  url          = {http://dx.doi.org/10.1007/s11235-017-0279-2},
  volume       = {66},
  year         = {2017},
}

Chicago
Goudos, Sotirios K, Margot Deruyck, David Plets, Luc Martens, and Wout Joseph. 2017. “Optimization of Power Consumption in 4G LTE Networks Using a Novel Barebones Self-adaptive Differential Evolution Algorithm.” Telecommunication Systems 66 (1): 109–120.
APA
Goudos, S. K., Deruyck, M., Plets, D., Martens, L., & Joseph, W. (2017). Optimization of power consumption in 4G LTE networks using a novel barebones self-adaptive differential evolution algorithm. TELECOMMUNICATION SYSTEMS, 66(1), 109–120.
Vancouver
1.
Goudos SK, Deruyck M, Plets D, Martens L, Joseph W. Optimization of power consumption in 4G LTE networks using a novel barebones self-adaptive differential evolution algorithm. TELECOMMUNICATION SYSTEMS. Dordrecht: Springer; 2017;66(1):109–20.
MLA
Goudos, Sotirios K, Margot Deruyck, David Plets, et al. “Optimization of Power Consumption in 4G LTE Networks Using a Novel Barebones Self-adaptive Differential Evolution Algorithm.” TELECOMMUNICATION SYSTEMS 66.1 (2017): 109–120. Print.