| 基于划分DBSCAN算法的小区载频配置优化 |
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| 引用本文： | 刘强,邓磊,贾振红,覃锡忠.基于划分DBSCAN算法的小区载频配置优化[J].计算机工程与应用,2014(8):85-89. |
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| 作者姓名： | 刘强 邓磊 贾振红 覃锡忠 |
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| 作者单位： | 新疆大学信息科学与工程学院;中国移动通信集团新疆有限公司 |
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| 基金项目： | 中国移动新疆分公司研究发展基金项目(No.xjm2011-1) |
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| 摘 要： | 为了充分利用无线网络资源，提升无线网络质量，充分利用了DBSCAN（Density Based Spatial Clustering of Applications with Noise）算法的优点，提出基于划分DBSCAN算法的话务量异常小区的检测方法，并通过对现网大量话务数据的统计分析，找出小区载频配置数和最佳话务量之间的关系。对话务量异常、拥塞率高的小区进行载频配置优化，并对城市小区网络优化有一定的指导意义。
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| 关 键 词： | 数据挖掘 聚类分析 划分 基于密度的带有噪声的空间聚类（DBscAN） 载频优化 最佳话务量 |
Carrier frequency optimization of several cells based on enhanced DBSCAN algorithm |
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| LIU Qiang;DENG Lei;JIA Zhenhong;QIN Xizhong.Carrier frequency optimization of several cells based on enhanced DBSCAN algorithm[J].Computer Engineering and Applications,2014(8):85-89. |
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| Authors: | LIU Qiang;DENG Lei;JIA Zhenhong;QIN Xizhong |
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| Affiliation: | LIU Qiang;DENG Lei;JIA Zhenhong;QIN Xizhong;College of Information Science and Engineering,Xinjiang University;China Mobile Communication Group Xinjiang Co.,LTD.; |
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| Abstract: | In order to take full advantage of the wireless network resources and improve the quality of municipal wireless networks, this paper makes full use of DBSCAN（Density Based Spatial Clustering of Applications with Noise）algorithm and proposes a traffic abnormal cells detection method. Some statistical analysis of the existing network traffic data has been done to identify the relationship between carrier configuration and the best traffic. This article optimizes the cell’s carrier configuration, which has unusual traffics and high congestion rates. It also has guiding meaning for city cell wire-less network optimization. |
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| Keywords: | data mining clustering partition Density Based Spatial Clustering of Applications with Noise （DBSCAN） carrier optimization best traffic |
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