A genetic algorithm solution for the operation of green LTE networks with energy and environment considerations

  • Authors:

  • Hakim Ghazzai;Elias Yaacoub;Mohamed Slim Alouini;Adnan Abu-Dayya

  • Affiliations:

  • King Abdullah University of Science and Technology (KAUST), Thuwal, Mekkah Province, Saudi Arabia;Qatar Mobility Innovations Center (QMIC), Qatar Science & Technology Park, Doha, Qatar;King Abdullah University of Science and Technology (KAUST), Thuwal, Mekkah Province, Saudi Arabia;Qatar Mobility Innovations Center (QMIC), Qatar Science & Technology Park, Doha, Qatar

  • Venue:
  • ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
  • Year:
  • 2012

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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.