Parallel Computing in Electrical Engineering, 2004. International Conference on (2004)
Sept. 7, 2004 to Sept. 10, 2004
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PCEE.2004.51
Carsten Maple , University of Luton, UK
Liang Guo , University of Luton, UK
Jie Zhang , University of Luton, UK
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.
3G, CDMA, parallel genetic algorithm, optimisation, coverage, capacity
L. Guo, C. Maple and J. Zhang, "Parallel Genetic Algorithms for Third Generation Mobile Network Planning," Parallel Computing in Electrical Engineering, 2004. International Conference on(PARELEC), Dresden, Germany, 2004, pp. 229-236.