  Using drones for cellular coverage enhancement is a recent technology that
has shown a great potential in various practical scenarios. However, one of the
main challenges that limits the performance of drone-enabled wireless networks
is the limited flight time. In particular, due to the limited on-board battery
size, the drone needs to frequently interrupt its operation and fly back to a
charging station to recharge/replace its battery. In addition, the charging
station might be responsible to recharge multiple drones. Given that the
charging station has limited capacity, it can only serve a finite number of
drones simultaneously. Hence, in order to accurately capture the influence of
the battery limitation on the performance, it is required to analyze the
dynamics of the time spent by the drones at the charging stations. In this
paper, we use tools from queuing theory and stochastic geometry to study the
influence of each of the charging stations limited capacity and spatial density
on the performance of a drone-enabled wireless network.
