Resource and trajectory optimization in UAV-powered wireless communication system

The unmanned aerial vehicle (UAV) is a promising enabler of Internet Things (IoT) owing to its highly flexible features. Combined with wireless power transfer (WPT) techniques, UAV can provide energy for IoT nodes, which extend the lifetime constrained communication systems. This paper studies resource and trajectory optimization in UAV-powered systems, consists two UAVs ground nodes (GNs). system works way that alternately charge GNs through also send their information corresponding harvested energy, effectively reduce interference while receiving GNs. Aiming maximize minimum throughput GNs, UAVs’ trajectories are jointly optimized constraints collision avoidance, flying speed, transmit power. Successive convex programming (SCP) block coordinate descent (BCD) utilized solve problem. Simulation results show proposed scheme achieves larger than benchmark scheme.