摘要
This paper studies the use of unmanned aerial vehicles (UAVs) for joint localization and communication. The UAV collects data from ground users over multiple rounds of the mission. We assume that users are located in given regions of uncertainty, and their exact positions are unknown. In each round, the UAV estimates users' positions using collected signals, thereby reducing location errors and facilitating data collection in subsequent rounds. We aim to minimize the UAV's total travel distance by optimizing its flight paths. The formulated problem is challenging to solve because the signals to be collected in future rounds are unavailable. A penalty-based approach is proposed to decompose the multiple-round problem into multiple per-round problems, which can be solved efficiently. The simulation results are provided to verify the effectiveness of the proposed scheme in comparison with several baselines.