Parallel Genetic Algorithms for Third Generation Mobile Network Planning

  • Authors:
  • Carsten Maple;Liang Guo;Jie Zhang

  • Affiliations:
  • University of Luton, UK;University of Luton, UK;University of Luton, UK

  • Venue:
  • PARELEC '04 Proceedings of the international conference on Parallel Computing in Electrical Engineering
  • Year:
  • 2004

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Abstract

As Third Generation (3G) mobile networks start to be implemented, there is a need for effective network planning. However, deciding upon the optimum placement for the base stations of the networks is a complex task requiring vast computational resource. This paper discusses the conflicting objectives of base station planning and characterises a multi-objective optimisation problem. We present a genetic encoding of the third generation mobile network planning problem and parallel genetic algorithms to solve it.