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arXiv 1503.08682cs.NI
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一种基于O&M的无线网络流量热点定位新方法

A New Alternative for Traffic Hotspot Localization in Wireless Networks Using O&M Metrics

Aymen Jaziri, Ridha Nasri, Tijani Chahed

摘要:

近年来,由于热点卸载解决方案的问题、具有小小区部署的异构网络(HetNet)的出现以及绿色网络,对流量定位技术的认识不断提高。以高精度定位业务热点确实非常感兴趣的是,了解如何卸载拥塞区域、小型小区应部署在何处以及如何管理它们以用于睡眠方式概念。我们提出,在本文中,一个新的热点定位技术的基础上直接开发的五个关键性能指标(KPI)提取的操作和维护(O&M)数据库的网络。这些KPI是定时提前(TA)、到达角(AoA)、相邻小区级别、加载时间和两个平均吞吐量:算术(AMT)和谐波(HMT)。这些KPI的组合使用,投影在覆盖地图上,产生了有前途的定位精度,并可以通过利用潜在热点的商业数据进一步优化。与广泛使用的探测方法相比,该解决方案可以以相当低的成本在网络中实现。

英文摘要:

In recent years, there has been an increasing awareness to traffic localization techniques driven by the problematic of hotspot offloading solutions, the emergence of heterogeneous networks (HetNet) with small cells' deployment and the green networks. The localization of traffic hotspots with a high accuracy is indeed of great interest to know how the congested zones can be offloaded, where small cells should be deployed and how they can be managed for sleep mode concept. We propose, in this paper, a new hotspot localization technique based on the direct exploitation of five Key Performance Indicators (KPIs) extracted from the Operation and Maintenance (O&M) database of the network. These KPIs are the Timing Advance (TA), the angle of arrival (AoA), the neighboring cell level, the load time and two mean throughputs: arithmetic (AMT) and harmonic (HMT). The combined use of these KPIs, projected over a coverage map, yields a promising localization precision and can be further optimized by exploiting commercial data on potential hotspots. This solution can be implemented in the network at an appreciable low cost when compared with widely used probing methods.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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