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Parallel Genetic Algorithms for Third Generation Mobile Network Planning

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3 Author(s)
Maple, C. ; University of Luton, UK ; Liang Guo ; Jie Zhang

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.

Published in:

Parallel Computing in Electrical Engineering, 2004. PARELEC 2004. International Conference on

Date of Conference:

7-10 Sept. 2004