Abstract
The Base Station (BS) sleeping strategy has become a well-known technique to achieve energy savings in cellular networks by switching off redundant BSs mainly for lightly loaded networks. Besides, the exploitation of renewable energies, as additional power sources in smart grids, becomes a real challenge to network operators to reduce power costs. In this paper, we propose a method based on genetic algorithms that decreases the energy consumption of a Long-Term Evolution (LTE) cellular network by not only shutting down underutilized BSs but also by optimizing the amounts of energy procured from the smart grid without affecting the desired Quality of Service.
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Ghazzai, H., Yaacoub, E., Alouini, M.S., Abu-Dayya, A. (2012). A Genetic Algorithm Solution for the Operation of Green LTE Networks with Energy and Environment Considerations. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7665. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34487-9_62
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DOI: https://doi.org/10.1007/978-3-642-34487-9_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34486-2
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