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Published Articles >> Table of Contents >> Abstract
Parallel Computing in Electrical Engineering, International Conference on (PARELEC'04)
pp. 229-236
Parallel Genetic Algorithms for Third Generation Mobile Network Planning
Carsten Maple, University of Luton, UK
Liang Guo, University of Luton, UK
Jie Zhang, University of Luton, UK
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PCEE.2004.51
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| Abstract |
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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.
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 Additional Information
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Index Terms- 3G, CDMA, parallel genetic algorithm, optimisation, coverage, capacity
Citation:
Carsten Maple, Liang Guo, Jie Zhang,
"Parallel Genetic Algorithms for Third Generation Mobile Network Planning,"
parelec,
pp. 229-236,
Parallel Computing in Electrical Engineering, International Conference on (PARELEC'04),
2004
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