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

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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.

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Authors and Affiliations

  1. Department of Physics, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece

    Sotirios K. Goudos

  2. Department of Information Technology, Ghent University/iMinds, Ghent, Belgium

    Margot Deruyck, David Plets, Luc Martens & Wout Joseph

Authors
  1. Sotirios K. Goudos
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  2. Margot Deruyck
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  3. David Plets
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  4. Luc Martens
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  5. Wout Joseph
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Correspondence to Sotirios K. Goudos.

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Goudos, S.K., Deruyck, M., Plets, D. et al. Optimization of Power Consumption in 4G LTE Networks Using a Novel Barebones Self-adaptive Differential Evolution Algorithm. Telecommun Syst 66, 109–120 (2017). https://doi.org/10.1007/s11235-017-0279-2

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