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Detection of Sleeping Cells in LTE Networks Using Diffusion Maps

机译:使用扩散图检测LTE网络中的睡眠小区

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In mobile networks emergence of failures is caused by various breakdowns of hardware and software elements. One of the serious failures in radio networks is a Sleeping Cell. In our work one of the possible root causes for appearance of this network failure is simulated in a dynamic network simulator. The main aim of the research is to detect the presence of a Sleeping Cell in the network and to define its location. For this purpose Diffusion Maps data mining technique is employed. The developed fault identification framework is using the performance characteristics of the network, collected during its regular operation, and for that reason it can be implemented in real Long Term Evolution (LTE) networks within the Self-Organizing Networks (SON) concept.
机译:在移动网络中,故障的出现是由硬件和软件元素的各种故障引起的。无线电网络中的严重故障之一是睡眠小区。在我们的工作中,在动态网络模拟器中模拟了出现此网络故障的可能根本原因之一。该研究的主要目的是检测网络中是否存在睡眠小区并确定其位置。为此,采用了扩散图数据挖掘技术。所开发的故障识别框架正在使用网络的性能特征,该性能是在其正常运行期间收集的,因此,它可以在自组织网络(SON)概念内的实际长期演进(LTE)网络中实现。

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