Smart Trajectory and Reinforcement Optimization for UAV HetNets

We try to maximize the energy efficiency (EE) of the heterogeneous networks (HetNets) with maintaining high quality of service (QoS). We consider HetNets with Unmanned Aerial Vehicles (UAVs) operating on ultra-high frequencies (UHF) and millimeter-wave (mmWave) frequencies. We examine the joint optimization in communication, trajectory planning and power consumption in UAV Networks applying the efficient Augmented Lagrangian Methods. The simulation results show the effectiveness of the proposed algorithms.