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Ray-tracing Simulation and Hybrid Channel Modeling for Low-Terahertz UAV Communications

机译:低太赫兹UAV通信的光线跟踪仿真和混合频道建模

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Unmanned Aerial Vehicles (UAVs) are currently playing an important role in both military and commercial applications. While UAVs possess potential to enhance network coverage with their high flexibility, combining with the Tera-hertz (THz) band is promising to enhance the wireless data rate with abundant spectrum resources and ultra-high bandwidth. As a fundamental challenge, air-ground (AG) channel modeling and analysis in the THz band are investigated in this paper, based on ray-tracing simulation and hybrid modeling approaches. The channel statistics are extracted and analyzed based on ray-tracing simulated data, including path loss, excess delay, among others. In particular, the height dependence of statistical parameters is thoroughly analyzed, which shows a clear trend of increasing channel sparsity with high-altitude UAVs. In light of the simulated data and analysis, a hybrid channel model including the line-of-sight, ground-reflection path, and stochastically generated multi-path, is proposed to characterize the THz AG propagation, for which the fading characteristics are validated.
机译:无人驾驶飞行器(无人机)目前在军事和商业应用中发挥着重要作用。虽然无人机具有增强网络覆盖的潜力,但随着它们的高度灵活性,与TERA-Hertz(THz)频段相结合,旨在增强具有丰富频谱资源和超高带宽的无线数据速率。作为一个根本的挑战,基于射线跟踪模拟和混合建模方法,在本文中研究了THZ带中的空气地(AG)信道建模和分析。基于光线跟踪模拟数据提取和分析信道统计,包括路径损耗,多余延迟等。特别地,彻底分析了统计参数的高度依赖性,其显示出具有高空无人机的沟道稀疏性的明显趋势。鉴于模拟数据和分析,提出了一种包括视线线,地反射路径和随机产生的多路径的混合信道模型,以表征THz AG传播,验证衰落特性。

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