Abstract
With the rapid development of UAV (Unmanned Aerial Vehicle) technology, the UAVs have been widely used in various fields. However, due to the limited battery capacity and limitation on weight, a short running time of UAVs is still the main factor limiting the UAV wide application. This problem can be overcome by charging UAVs using energy harvesting technology. However, the existing wireless UAV charging does not consider the joint optimization of time and energy consumption. Thus, in this paper, we propose the optimal time and power allocation of the energy harvesting of UAV. The base station is used to power the UAV, and UAV processes user tasks using the acquired wireless energy. Specifically, we define the optimization problem of minimum energy consumption of UAV under wireless charging. In order to solve this problem, we give the optimal time and power allocation of UAV by using the Lagrange multiplier and KKT conditions. The experimental results show that the proposed scheme is superior to the traditional scheme.