For emergency response scenarios like firefighting in urban environments, there is a need to both localize emergency responders inside the building and also support a high bandwidth communication link between the responders and a command-and-control center. The emergency networks for such scenarios can be established with the quick deployment of Unmanned Aerial Vehicles (UAVs). Further, the 3D mobility of UAVs can be leveraged to improve the quality of the wireless link by maneuvering them into advantageous locations. This has motivated recent propagation measurement campaigns to study low-altitude air-to-ground channels in both 5G-sub6 GHz and 5G-mmWave bands. In this paper, we develop a model for the link in a UAV-assisted emergency location and/or communication system. Specifically, given the importance of Line-of-Sight (LoS) links in localization as well as mmWave communication, we derive a closed-form expression for the LoS probability. This probability is parameterized by the UAV base station location, the size of the building, and the size of the window that offers the best propagation path. An expression for coverage probability is also derived. The LoS probability and coverage probabilities derived in this paper can be used to analyze the outdoor UAV-to-indoor propagation environment to determine optimal UAV positioning and the number of UAVs needed to achieve the desired performance of the emergency network.
翻译:对于城市环境中的消防等应急反应情景,需要将大楼内的应急反应人员本地化,并支持反应人员与指挥控制中心之间的高带宽通信连接。这类情景的应急网络可以通过快速部署无人驾驶航空飞行器(无人驾驶飞行器)建立。此外,无人驾驶航空飞行器的3D移动性能可以通过将无人驾驶飞行器的3D移动性能调整到有利的地点来提高无线链接的质量。这促使最近开展传播测量运动,以研究5G-次6GHz和5G-毫米波段的低空对地频道。在本文件中,我们开发了UAVA辅助紧急地点和/或通信系统中的链接模式。具体地说,鉴于视觉线(LOS)连接在本地化中的重要性以及MMWave通信中的重要性,我们从封闭式表达LOS概率。这一概率由无人驾驶航空基地位置、大楼的大小以及提供最佳传播路径的窗口大小加以比较。在UAVAVA辅助紧急定位中,对最佳传播路径的图像的表达方式也是用来分析AVA的概率和最佳定位。</s>