Research on Joint Optimization Strategy of UAV 3D Trajectory and Computation Unloading in Mobile Edge Computing
Mobile edge computing assisted by unmanned aerial vehicles has gradually become a research hotspot for future mobile communication networks.The UAV coverage is maximized by jointly optimizing UAV 3D flight action and user unloading mode.In this paper,deep reinforcement learning based on path planning algorithm for the optimization of joint UAV three-dimensional trajectory and offloading strategy based on is proposed converges faster and speed of solving higher than other benchmark algorithms.Significant performance can be obtained.
deep reinforcement learningmobile edge computingUAVdronespath planning
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