通信学报
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龙 腾,汪文勇,谢 涛,王 蒙
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摘要: 针对传统覆盖空洞检测方法投入大量人力物力,效率低的问题。利用运营商信令系统海量的用户行为数据进行3G网络覆盖空洞建模,提出一种基于用户行为的EDBSCAN-最小圆覆盖模型进行覆盖空洞检测。测试结果表明,该模型既能检测到覆盖空洞,又能准确确定覆盖空洞位置。
Abstract: Conventional methods of coverage holes detection are very much resource consuming. A new detection method is proposed which make use of the massive amount of user behavior information from mobile signal system. A user behavior based EDBSCAN-smallest enclosing circle method to model the coverage hole is described and simulated.The result shows this model outperforms conventional models let alone being fast, precise and free of manual intervention.
龙 腾,汪文勇,谢 涛,王 蒙. 基于用户行为数据的3G网络覆盖空洞检测[J]. 通信学报.
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https://www.infocomm-journal.com/txxb/CN/Y2014/V35/IZ1/29