Characterisation of wireless network traffic: Fractality and stationarity

2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2017-11-01 DOI:10.1109/ICRCICN.2017.8234485

S. Mukherjee, Rajdeep Ray, M. H. Khondekar, R. Samanta, G. Sanyal

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引用次数: 1

Abstract

Fractality and stationarity of a wireless network has been investigated in this paper by revealing the scaling pattern and nature of frequency fluctuation of the two vital parameters, the daily peak hour call arrival number and daily call drop number (03. 03.2004 to 31.10.2013), of a sub-urban local mobile switching centre, using some statistical methodologies. To have the knowledge about the fractality, Hurst Exponent for the series have been calculated using the methodologies like Visibility Graph Analysis, Higuchi's Fractal Dimension and General Hurst Estimation. It has been noticed that both the time series exhibit Short Range Dependent (SRD) anti-persistent behavior. Smoothed Pseudo Wigner-Ville Distribution (SPWVD) method has been used to unearth the stationarity/non-stationarity of the data-series where daily drop call time series shows evidence of non-stationary character while the busy hour call initiation series behave in a stationary manner.

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无线网络流量的表征:分形和平稳性

本文研究了无线网络的分形性和平稳性，揭示了日高峰时呼叫到达数和日呼叫掉线数(03)这两个重要参数的标度规律和频率波动性质。(2004年3月3日至2013年10月31日)，使用一些统计方法，对城郊本地流动交换中心进行分析。为了获得分形的相关知识，我们使用了可见度图分析、Higuchi分形维数和一般赫斯特估计等方法计算了该序列的赫斯特指数。已经注意到，这两个时间序列都表现出短距离依赖(SRD)的反持久性行为。采用平滑伪Wigner-Ville分布(SPWVD)方法揭示了数据序列的平稳性/非平稳性，其中日下降呼叫时间序列显示出非平稳特征，而忙时呼叫起始序列表现为平稳方式。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)

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