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.
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