Cellular network coverage optimization through the application of self-organizing neural networks

被引：0

作者：

Debono, CJ ^{[1
]}

Buhagiar, JK ^{[1
]}

机构：

[1] Univ Malta, Dept Commun & Comp Engn, Msida, Malta

来源：

VTC2005-FALL: 2005 IEEE 62ND VEHICULAR TECHNOLOGY CONFERENCE, 1-4, PROCEEDINGS | 2005年

关键词：

cluster optimization; neural networks; cellular systems;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Site cluster coverage optimization is crucial in improving the quality of service offered by a cellular system. An optimization technique using a two-layered self-organizing neural network is presented. The kernel maps the deterministic patterns obtained through actual traffic data and produces a performance relationship with regard to cluster size. Optimum configuration for a given cellular cluster can thus be determined as the kernel changes hardware parameters with the aim of enhancing coverage. The algorithm's resulting tuning parameters can later be applied to the cellular network's equipment. Simulation results have demonstrated the efficacy of the kernel in improving cellular network coverage.

引用

页码：2158 / 2162

页数：5

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