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.

中文翻译：

---

具有电池限制无人机的 UAV 蜂窝网络的性能评估

无人机 (UAV) 可用作飞行基站 (BS)，以卸载热点中的宏基站。然而，由于机载电池有限，无人机通常可以保持运行不到 1.5 小时。之后，无人机必须飞回专用充电站，为无人机的电池充电/更换。在本文中，我们研究了支持无人机的蜂窝网络的性能，同时捕捉了充电站空间分布的影响。特别是，我们使用随机几何工具来推导出支持无人机的蜂窝网络的覆盖概率，作为电池大小、充电站密度以及充电/更换电池所需时间的函数。