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Analysis of Drone Propagation With Ray Tracing From Sub-6 GHz Upto Terahertz Frequencies in a Real World Urban Environment

机译:在现实世界城市环境中从Sub-6 GHz频率的射线跟踪无人驾驶传播分析

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Unmanned aerial communication platforms have been recently considered as an effective solution to provide homogeneous and extended network coverage to terrestrial users. Unmanned Aerial Vehicles (UAVs) are expected to increase the network reliability and users’ Quality of Experience (QoE). The first target of this paper is to analyze the propagation characteristics of drone transmission at different frequencies i.e., 3.5 GHz, 28 GHz, 60 GHz, and up to 180 GHz with 20GHz step. In the considered setup drone is flying at different heights i.e., from 50m up to 250m altitude and we carry out 3D ray tracing simulations assuming a propagation environment that is defined by the real building data from Helsinki city. Ground users are placed outdoors. We study the validity of a previously proposed geometrical Line of Sight (LOS) probability model between ground user and drone, and based on simulations we propose new modeling parameters. In the second part of the paper, the ray tracing results are compared with the analytical reference model. Finally, a new set of parameters is proposed for tuned analytical model based on acquired ray tracing results. The proposed analytical model provides significantly low Root Mean Square Error (RMSE) when compared with the analytical reference model.
机译:无人驾驶空中通信平台已被视为为陆地用户提供均匀和扩展网络覆盖的有效解决方案。预计无人驾驶飞行器(无人机)将增加网络可靠性和用户的体验质量(QoE)。本文的第一个目标是分析不同频率的无人机传输的传播特性,即3.5 GHz,28 GHz,60 GHz,高达180 GHz,具有20GHz步骤。在考虑的设置无人机中,在不同的高度中飞行,即50米,高达250米的高度,假设使用赫尔辛基市的真实建筑数据定义的传播环境进行3D射线跟踪模拟。地面用户户外放置。我们研究了以前提出了地面用户和无人机之间的概率模型的有效性,并基于模拟,我们提出了新的建模参数。在纸张的第二部分中,将光线跟踪结果与分析参考模型进行比较。最后,提出了一种新的参数,用于基于获取的射线跟踪结果的调谐分析模型。与分析参考模型相比,该建议的分析模型提供了明显的根均方误差(RMSE)。

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