无人机
计算机科学
基站
电池(电)
蜂窝网络
随机几何学
实时计算
宏
覆盖概率
计算机网络
模拟
置信区间
功率(物理)
统计
遗传学
物理
数学
量子力学
生物
程序设计语言
作者
Yujie Qin,Mustafa A. Kishk,Mohamed‐Slim Alouini
标识
DOI:10.1109/lcomm.2020.3013286
摘要
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 letter, 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.
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