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<p>Wireless channel analysis forms the foundation for characterizing channel models. Studying the channel characteristics in different scenarios is significant for reducing interference and enhancing channel stability. In this paper, Vehicle-to-Infrastructure (V2I) channel measurements were conducted in vegetated areas of Beijing and Wuhan at frequencies of 5.9 GHz and 5.8 GHz, respectively, and the dynamic channel characteristics in these two environments were compared. Additionally, a tapped delay line (TDL) model was used to analyze the multipath effects. The results indicate that higher environmental dynamics lead to shorter channel stationarity durations, with measured values of 51.72 ms in Wuhan scenario and 10 ms in Beijing scenario. The RMS delay spread (RMS-DS) is observed to be larger in the Wuhan scenario, with 90% of the values below 168.19 ns, while the corresponding value is 8.48 ns in the Beijing scenario. This paper provides a reference for research in similar environments by comparatively analyzing different channel characteristics and establishing channel models.</p>

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Dynamic vehicular channel characteristics analysis and TDL modeling in different scenarios

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月9日

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  • Changzhen Li,
  • Zijian Zhang,
  • Susu Luo,
  • Bei Zhang,
  • Junyi Yu,
  • Wei Chen

摘要

Wireless channel analysis forms the foundation for characterizing channel models. Studying the channel characteristics in different scenarios is significant for reducing interference and enhancing channel stability. In this paper, Vehicle-to-Infrastructure (V2I) channel measurements were conducted in vegetated areas of Beijing and Wuhan at frequencies of 5.9 GHz and 5.8 GHz, respectively, and the dynamic channel characteristics in these two environments were compared. Additionally, a tapped delay line (TDL) model was used to analyze the multipath effects. The results indicate that higher environmental dynamics lead to shorter channel stationarity durations, with measured values of 51.72 ms in Wuhan scenario and 10 ms in Beijing scenario. The RMS delay spread (RMS-DS) is observed to be larger in the Wuhan scenario, with 90% of the values below 168.19 ns, while the corresponding value is 8.48 ns in the Beijing scenario. This paper provides a reference for research in similar environments by comparatively analyzing different channel characteristics and establishing channel models.