Abstract
In this paper, we propose to enable cellular networks to support a UAV traffic monitoring system, in which multiple UAVs are required to record videos from the target roads, and then transmit their video data back to the ground stations over the cellular spectrum. In this system, the video data can be transmitted directly to the ground stations bypassing the base station (BS), or via the traditional cellular links. Each UAV should select its transmission mode from the direct mode and the cellular mode as it preforms traffic monitoring tasks. Since the mode selections are influenced by the trajectories of UAVs, we study the trajectory design problem for UAVs in consideration of their transmission modes under a reinforcement learning (RL) framework. Then, we propose a trajectory design algorithm to solve this problem. Simulation results show that our proposed algorithm outperforms the single-agent one.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: IOP Conference Series: Materials Science and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.