2020/06/20 by Amit Kachroo, Collin A. Thornton, Kachroo, Amit +13
Engineering · #FOS: Electrical engineering #Millimeter-Wave Propagation and Modeling #Radio Wave Propagation Studies #Signal Processing (eess.SP) #UAV Applications and Optimization #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2006.11667
openalex publication_date 2020/06/20 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
In this paper, millimeter wave (mmWave) wireless channel characteristics\n(Doppler spread and path loss modeling) for Unmanned Aerial Vehicles (UAVs)\nassisted communication is analyzed and studied by emulating the real UAV motion\nusing a robotic arm. The motion considers the actual turbulence caused by the\nwind gusts to the UAV in the atmosphere, which is statistically modeled by the\nwidely used Dryden wind model. The frequency under consideration is 28 GHz in\nan anechoic chamber setting. A total of 11 distance points from 3.5 feet to\n23.5 feet in increments of 2 feet were considered in this experiment. At each\ndistance point, 3 samples of data were collected for better inference purposes.\nIn this emulated environment, it was found out that the average Doppler spread\nat these different distances was around -20 Hz and +20 Hz at the noise floor of\n-60 dB. On the other hand, the path loss exponent was found to be 1.843. This\nstudy presents and lays out a novel framework of emulating UAV motion for\nmmWave communication systems, which will pave the way out for future design and\nimplementation of next generation UAV-assisted wireless communication systems.\n