2020/07/01 by Yujie Qin, Qin, Yujie, Mustafa A. Kishk +4 · 1 citation
Computer Science · Engineering · Mathematics · #Distributed Control Multi-Agent Systems #Energy Harvesting in Wireless Networks #UAV Applications and Optimization #cs.IT #eess.SP #math.IT
paper · pdf · doi:10.48550/arxiv.2007.00374
arxiv created 2020/07/01 · arxiv updated 2020/07/02
Unmanned aerial vehicles (UAVs) can be used as flying base stations (BSs) to offload Macro-BSs in hotspots. However, due to the limited battery on-board, UAVs can typically stay in operation for less than 1.5 hours. Afterward, the UAV has to fly back to a dedicated charging station that recharges/replaces the UAV's battery. In this paper, we study the performance of a UAV-enabled cellular network while capturing the influence of the spatial distribution of the charging stations. In particular, we use tools from stochastic geometry to derive the coverage probability of a UAV-enabled cellular network as a function of the battery size, the density of the charging stations, and the time required for recharging/replacing the battery.