On the two time scale characteristics of wireless high speed railway networks

Chengxiao Yu, Wei Quan, Shui Yu, Hongke Zhang
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引用次数: 2

Abstract

Due to the severe environment along the High-Speed Railway (HSR), it is essential to research an efficient HSR communication system. In our previous work, we collected and analyzed an amount of the first hand dataset of signal intensity in HSR networks. We first observed that the link status variation presented an obvious Two-Time-Scale characteristics. However, that work did not analyze the cause of the Two-Time-Scale characteristics clearly. In this work, we focus on the fundamental cause of the periodic Two-Time-Scale characteristics, and make a lot of in-depth studies on this interesting phenomenon. Furthermore, we rebuild Two-Time-Scale characteristics by leveraging the relationship between the link state variation and the geographical position along HSR lines. In particular, considering the distribution of urban areas and rural ones along the HSR, a periodic distance based small time-scale model and a path-loss based large time-scale model are proposed respectively. Simulation results show the proposed models can perfectly explain the Two-Time-Scale characteristics and predict HSR link quality.
无线高速铁路网的两个时间尺度特性研究
由于高铁沿线环境恶劣,研究高效的高铁通信系统势在必行。在我们之前的工作中,我们收集并分析了大量高铁网络信号强度的第一手数据集。我们首先观察到链路状态变化具有明显的双时间尺度特征。然而,该工作没有明确分析双时间尺度特征的原因。在这项工作中,我们着眼于周期双时间尺度特征的根本原因,并对这一有趣的现象进行了大量深入的研究。此外,我们利用高铁线路状态变化与地理位置之间的关系,重建了高铁线路的双时间尺度特征。特别考虑高铁沿线城乡区域的分布,分别提出了基于周期距离的小时间尺度模型和基于路径损失的大时间尺度模型。仿真结果表明,该模型能较好地解释高铁的双时间尺度特征,并能预测高铁线路质量。
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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