UAV Trajectory Planning with Interference Awareness for Time-Constrained Data Collection

This paper studies the UAV trajectory planning (UtraP) problem in a UAV-enabled data collection (DC) system. The problem is formulated as an optimization problem aiming to minimize a UAV's mission completion time, taking into account the time constraint of data and the mitigation of interference on ground users. To solve the formulated problem, we decompose the problem into two sub-problems: the UAV's visiting sequence optimization and the UAV's hovering position optimization, and propose a genetic algorithm based algorithm and a successive convex approximation based algorithm to solve the two sub-problems, respectively. Moreover, an interference-aware trajectory optimization algorithm is proposed to solve the main problem by iteratively optimizing the UAV's visiting sequence and hovering positions. Simulation results demonstrate the efficiency of the proposed trajectory optimization algorithm.