Wireless Network Planning Base on Artificial Fish Swarm Algorithm

被引:0
|
作者
Wu, Mingzhao [1 ]
机构
[1] Binzhou Univ, Dept Comp Sci & Technol, Binzhou 256600, Peoples R China
关键词
network planning; optimization; Artificial Fish Swarm Algorithm;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
To reduce the cost of TD-SCDMA network construction, a solution of base station location planning problem based on Artificial Fish Swarm Algorithm was proposed. The difficulties of TD-SCDMA base station construction and the principle of location planning were expound, AF and food concentration function were designed, the framework of AFSA for base station location planning problem was given, and simulation experiments were done to validate the proposed algorithm. Experimental result shows that the proposed solution can obtain higher network coverage rate with lower cost of network construction relatively, and has the advantage of good application value.
引用
收藏
页码:205 / 207
页数:3
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