Immune algorithm-based base station location optimization in the TD-SCDMA network

According to the defects of the existing 3G base station location optimization algorithms and the characteris-tics of the TD-SCDMA network, an optimization program was proposed for TD-SCDMA network base station location based on immune algorithm. A mathematical model of base station location was est...

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Bibliographic Details
Main Authors: Ying-jie ZHANG, Ci-ping MAO, Yun-xiao ZU, Xian-you SUN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2014-05-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.05.006/
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Summary:According to the defects of the existing 3G base station location optimization algorithms and the characteris-tics of the TD-SCDMA network, an optimization program was proposed for TD-SCDMA network base station location based on immune algorithm. A mathematical model of base station location was established. A population initialization program based on opposition-based learning and an elite crossover strategy were also designed, and the immune optimi-zation algorithm framework was presented. The experiments' result shows that the algorithm cannot only get higher net-work coverage with a relatively smaller consideration, but also have better convergence.
ISSN:1000-436X