UAV assisted mobile edge computing system has far-reaching significance in 5G/6G communication.In re-sponse 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 Aol compared to the benchmark algorithm.
关键词
移动边缘计算/信息年龄/高斯-马尔可夫移动模型/路径规划
Key words
mobile edge computing/AoI/Gaussian Markov moving model/path planning
维普
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