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

页码：229 / 236

页数：8