UAV Trajectory Planning With Interference Awareness in UAV-Enabled Time-Constrained Data Collection Systems
Kai Liu, Jun Zheng
Abstract
This article studies the UAV trajectory planning (UtraP) problem in a UAV-enabled data collection (DC) system where a UAV executes a DC mission in a geographical area with multiple ground monitoring areas and multiple ground base stations (GBSs). The problem is formulated as an optimization problem aiming to minimize the UAV's mission completion time by jointly optimizing GBS and UAV association variables, the UAV's flying speeds, and the UAV's path, taking into account the time constraint of data, the energy consumption constraint of the UAV, and the mitigation of interference on ground users. To solve the formulated problem, we decompose the problem into three sub-problems: GBS and UAV association optimization, UAV speed optimization and UAV path optimization. Three successive convex approximation based algorithms are proposed to solve the sub-problems. In addition, a block coordinate descent based trajectory optimization algorithm (BCD-TO) is further proposed to solve the formulated problem. Simulation results demonstrate that the proposed BCD-TO algorithm outperforms a benchmark algorithm in terms of the mission completion time.