Design of Trajectory Planning and Task Unloading Algorithm for Minimizing Age of Information in UAV Assisted Mobile Edge Computing
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.
mobile edge computingAoIGaussian Markov moving modelpath planning
万方数据
维普
