  We study an unmanned aerial vehicle (UAV) identification network equipped
with an energy harvesting (EH) technique. In the network, the UAVs harvest
energy through radio frequency (RF) signals transmitted from ground control
stations (GCSs) and then transmit their identification information to the
ground receiver station (GRS). Specifically, we first derive a closed-form
expression of the outage probability to evaluate the network performance. Then
we obtain the closed-form expression of the optimal time allocation when the
bandwidth is equally allocated to the UAVs. We also propose a fast-converging
algorithm for time and the bandwidth allocation, which is necessary for the UAV
environment with high mobility, to optimize the outage performance of EH-based
UAV identification network. Simulation results show that the proposed algorithm
outperforms the conventional bisection algorithm and achieves near-optimal
performance.
