Channel Measurement and Modeling for 380 MHz V2I Emergency Communications in Forested Scenarios

Rong Yuan;Wenchi Cheng;Wei Guo;Dan Fei;Haoran Chen;Yayun Ao;Yudong Fang
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Abstract

Emergency communication in forested environments encounters extremely complex propagation conditions, whose channel characteristics cannot be accurately captured by conventional models designed for urban scenarios. This paper conducts field measurements and modeling for 380 MHz vehicle-to-infrastructure (V2I) links in the primeval forest of the Greater Khingan Mountains. Through joint analysis of large-scale and small-scale channel characteristics, we systematically reveal the signal attenuation, fading mechanisms, and delay spread behavior in such environments. Results indicate that for path loss modeling, the Alpha-Beta model outperforms the Close-In model in characterizing the rapid attenuation in dense foliage. Small-scale fading is predominantly Rayleigh-distributed, while Ricean fading only dominates in the initial stage, with its K-factor decreasing significantly as distance increases. The root mean square (RMS) delay spread ranges from 0 to 450 ns, follows a log-normal distribution, and is markedly larger than in urban scenarios. Based on these observations, a parametric tapped-delay-line (TDL) model is developed, effectively quantifying multipath delay, power decay, and fading characteristics. The proposed model can reproduce realistic propagation features in simulations, offering theoretical support for emergency communication system planning and optimization, as well as engineering guidance for enhancing communication reliability and coverage in disaster rescue scenarios.
森林环境下380 MHz V2I应急通信信道测量与建模
森林环境下的应急通信遇到极其复杂的传播条件,针对城市场景设计的常规模型无法准确捕捉其信道特征。本文对大兴安岭原始森林380 MHz车对基础设施(V2I)链路进行了现场测量和建模。通过对大尺度和小尺度信道特性的联合分析,系统地揭示了这种环境下的信号衰减、衰落机制和延迟扩展行为。结果表明,对于路径损失建模,Alpha-Beta模型在描述茂密树叶中的快速衰减方面优于Close-In模型。小规模衰落以瑞利衰落为主,而赖斯衰落仅在初始阶段占主导地位,随着距离的增加,其k因子显著降低。均方根(RMS)延迟扩展范围为0 ~ 450ns,服从对数正态分布,明显大于城市场景。基于这些观察,建立了参数抽头延迟线(TDL)模型,有效地量化了多径延迟、功率衰减和衰落特性。该模型能够在仿真中再现真实的传播特征,为应急通信系统规划和优化提供理论支持,为提高灾害救援场景下通信可靠性和覆盖范围提供工程指导。
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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