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Fractal Characteristics Analysis of Wireless Network Traffic Based on Hurst Parameter

机译:基于Hurst参数的无线网络流量分形特征分析

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摘要

This paper uses three statistical analyses methods, R/S statistic, variance-time plots and periodogram-based analysis, to estimate the Hurst parameter of the wireless network traffic. The fractal statistical characteristics of wireless network traffic are studied based on the Hurst parameter. Simulation results compare the parameter estimation values of fractal wireless network traffic by utilizing above three statistical approaches. The simulation results demonstrate that wireless network traffic exhibits fractal characteristics. These results can be very useful for the performance improvement and the system design optimization of wireless network.
机译:本文使用三种统计分析方法(R / S统计,方差时间图和基于周期图的分析)来估计无线网络流量的赫斯特参数。基于Hurst参数研究了无线网络流量的分形统计特征。仿真结果利用上述三种统计方法对分形无线网络流量的参数估计值进行了比较。仿真结果表明,无线网络流量具有分形特征。这些结果对于无线网络的性能改进和系统设计优化非常有用。

著录项

  • 来源
  • 会议地点 San Jose CA(US) and Chengdu(CN);San Jose CA(US) and Chengdu(CN)
  • 作者

    Taijun Wang; Qin Yu; Yuming Mao;

  • 作者单位

    School of Communication and Information Engineering, University of Electronic Science and Technology, Chengdu, China;

    School of Communication and Information Engineering, University of Electronic Science and Technology, Chengdu, China;

    School of Communication and Information Engineering, University of Electronic Science and Technology, Chengdu, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 通信;
  • 关键词

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