Channel assignment problem in cellular networks using genetic algorithms

被引：0

作者：

Li, Man-Lin ^{[1
]}

Wang, Yu-Na ^{[1
]}

Du, Lei ^{[1
]}

Wang, Guang-Xing ^{[1
]}

机构：

[1] Sch. of Info. Sci. and Eng., Northeastern Univ., Shenyang 110004, China

来源：

Dongbei Daxue Xuebao/Journal of Northeastern University | 2003年 / 24卷 / 03期

关键词：

Channel capacity - Electromagnetic compatibility - Frequency allocation - Genetic algorithms - Iterative methods - Mobile telecommunication systems - Signal encoding;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In order to use the frequencies more efficiently, a new channel assignment approach based on genetic algorithms was proposed. Three constraints were considered for the channel assignment: the co-channel constraint, the adjacent constraint and the co-site constraint. The objective is to obtain a channel assignment scheme. The scheme satisfies both the traffic demand requirements and electromagnetic compatibility constraints with the lower-bound channel number. The minimum-separation encoding scheme was put forward. The traffic demand can be fulfilled throughout the iterative process using the genetic-fix operators (crossover and mutation). Some GAs operators were proposed and tested. Some well-known benchmark problems were simulated. The proposed algorithm is a better approach for solving the channel assignment problem.

引用

页码：213 / 216