无人机辅助移动边缘计算中信息新鲜度优先的轨迹规划和任务卸载算法设计

Design of Trajectory Planning and Task Unloading Algorithm for Minimizing Age of Information in UAV Assisted Mobile Edge Computing

无人机辅助移动边缘计算系统在5G/6G通信中有着深远意义。针对6G通信网络中各类通信设备对信息时效性和数据新鲜度的需求,提出一种基于双深度Q网络的信息新鲜度优先的轨迹规划和任务卸载算法。结果表明,所提出的算法相较于基准算法有效降低了平均AoI。

UAV assisted mobile edge computing system has far-reaching significance in 5G/6G communication.In response to the requirements of various communication devices in 6G communication networks for information timeliness and data freshness,this paper proposes an information freshness first trajectory planning and task offloading algorithm based on a dual deep Q-network.The results show that the algorithm proposed in this paper effectively reduces the average AoI compared to the benchmark algorithm.