Joint UAV Deployment and User Scheduling for Wireless Powered Wearable Networks

The integration of unmanned aerial vehicles (UAVs) and wireless power transfer (WPT) is promising to provide charging and communication services to on-ground devices. However, traditional studies focus on UAVs at a fixed height to provide services for devices, ignoring their flexibility. To fully exploit the potential of UAVs in wearable networks, we take the height of UAVs into consideration to maximize the network throughput and minimize the task completion time. Considering the UAV coverage and energy constraints, we formulate the service time allocation and UAV height control optimization problem as a constrained Markov decision process (CMDP). Then, we propose a Lagrangian-based proximal policy optimization (PPO)-CMDP algorithm to optimize the primal pair-based policy. Finally, simulation evaluation shows that our proposed algorithm has significant advantages in terms of network throughput and service fairness.