Parallel genetic algorithms for third generation mobile network planning

被引：18
|
作者：
Maple, C [1 ]
Guo, L [1 ]
Zhang, J [1 ]
机构：
[1] Univ Luton, Dept Comp & Informat Syst, Luton LU1 3JU, Beds, England
来源：
INTERNATIONAL CONFERENCE ON PARALLEL COMPUTING IN ELECTRICAL ENGINEERING | 2004年
关键词：
3G; CDMA; parallel genetic algorithm; optimisation; coverage; capacity;
D O I：
10.1109/PCEE.2004.1335615
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：229 / 236
页数：8
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