Trajectory Design for UAV Communications with No-Fly Zones by Deep Reinforcement Learning

This paper studies the trajectory design problem for the cellular-connected unmanned aerial vehicle (UAV) with limited energy, which aims at maximizing the uplink transmission rate from multiple ground users in urban environments with no-fly zones (NFZs). We first argue that the successive convex approximation-based (SCA-based) conventional trajectory design method via formulating and solving opti...