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2016 23rd International Conference on Telecommunications (ICT)

DOI: 10.1109/ict.2016.7500426

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Application of opposition-based learning concepts in reducing the power consumption in wireless access networks

Proceedings article published in 2016 by Sotirios K. Goudos, Margot Deruyck, David Plets, Luc Martens, Wout Joseph ORCID
This paper is available in a repository.
This paper is available in a repository.

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Abstract

The reduction of power consumption in wireless access networks is a challenging and important issue. In this paper, we apply Opposition-Based Learning (OBL) concepts for reducing the power consumption of LTE base stations. More specifically, we present a new Modified Biogeography Based Optimization (BBO) algorithm enhanced with OBL techniques. We apply both the original BBO and the new Modified Opposition BBO (MOBBO) to network design cases to the city of Ghent, Belgium, with 75 possible LTE base station locations. We optimize the network towards two objectives: coverage maximization and power consumption minimization. Preliminary results indicate the advantages and applicability of our approach.