基于ANR算法的自组织网络可视化

H. Quan, Tobias Åström, M. Jern, Johan Moe, F. Gunnarsson, Harald Kallin
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引用次数: 3

摘要

蜂窝无线网络在节点数量和复杂性方面都在不断增长。因此,网络的管理变得越来越困难,有必要使用既省时又经济的计算机自动算法来组织网络的邻居单元关系。爱立信已经开发了这样一种算法,称为自动邻居关系(ANR),它通过基于测量的网络数据自动创建和更新邻居单元关系(NCR)列表来解决部分问题。网络运营商需要了解算法及其可靠性和性能,这是不容易感知的。本文提出了一种可视化工具,可以将ANR的性能可视化,并使用户可以通过策略对其进行控制。该工具允许运营商跟踪网络的演变,并发现随着时间的推移而发生的问题。此外,它还支持发现将来可能发生的潜在问题。该工具由一组相关领域用户进行评估,评估结果非常积极。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualization of Self-Organizing Networks Operated by the ANR Algorithm
Cellular radio networks are continually growing in both node count and complexity. It therefore becomes more and more difficult to manage the networks and necessary to use time and cost effective automatic computer algorithms to organize the network's neighbor cell relations. Ericsson has developed such an algorithm, called automatic neighbor relations (ANR), which solves a part of this problem by automatically creating and updating neighbor cell relation (NCR) lists, based on measured network data. Network operators need to have an understanding of the algorithm and of its reliability and performance, which is not easily perceived. This paper presents a visualization tool that visualizes the performance of ANR and gives the user a possibility to control it via policies. The tool allows the operators to follow the evolution of the network and to find problems occurring over time. In addition, it also supports finding potential problems that can occur in the future. The tool was evaluated by a group of relevant domain users and the results from the evaluation were highly positive.
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