Trajectory and Resource Optimization in OFDM-Based UAV-Powered IoT Network

The Internet of Things (IoT) is playing an increasingly vital role in multiple industries and our everyday life. A pressing practical problem IoT devices (IoT-Ds) their explosive growth connectivity which leads to large energy consumption. One the most promising solutions achieve a sustainable green network unmanned aerial vehicle (UAV) enabled wireless power transfer (WPT) due its flexibility, mobility cost advantage. In this paper, we propose UAV-powered based on Orthogonal Frequency Division Multiplexing (OFDM). proposed network, two ground nodes (GNs) are powered by UAVs through down link WPT. uplink, data collected GNs transmitted corresponding with harvested utilizing orthogonal subcarriers, can effectively avoid interference. UAVs' trajectories resource allocation optimized maximize sum average transmission rate while ensuring minimum each GN. utilize successive convex programming (SCP) technique solve optimization problem. Simulation results show that scheme achieves larger than benchmark schemes.