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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Sotirios K. Goudos & Margot Deruyck & David Plets & Luc Martens & Wout Joseph, 2017. "Optimization of Power Consumption in 4G LTE Networks Using a Novel Barebones Self-adaptive Differential Evolution Algorithm," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 66(1), pages 109-120, September.
    • Handle: RePEc:spr:telsys:v:66:y:2017:i:1:d:10.1007_s11235-017-0279-2
    DOI: 10.1007/s11235-017-0279-2
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    References listed on IDEAS

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    1. Omran, Mahamed G.H. & Engelbrecht, Andries P. & Salman, Ayed, 2009. "Bare bones differential evolution," European Journal of Operational Research, Elsevier, vol. 196(1), pages 128-139, July.
    2. John H.E. Taplin & Min Qiu & Vivian K. Salim & Renlong Han, 2005. "Cost–Benefit Analysis and Evolutionary Computing," Books, Edward Elgar Publishing, number 3859.
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    Cited by:

    1. Mehdi Neshat & Nataliia Y. Sergiienko & Erfan Amini & Meysam Majidi Nezhad & Davide Astiaso Garcia & Bradley Alexander & Markus Wagner, 2020. "A New Bi-Level Optimisation Framework for Optimising a Multi-Mode Wave Energy Converter Design: A Case Study for the Marettimo Island, Mediterranean Sea," Energies, MDPI, vol. 13(20), pages 1-23, October.
    2. Hilary I. Okagbue & Muminu O. Adamu & Timothy A. Anake & Ashiribo S. Wusu, 2019. "Nature inspired quantile estimates of the Nakagami distribution," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 72(4), pages 517-541, December.

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