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Resource optimization for UAV-assisted mobile edge computing system based on deep reinforcement learning.

, , , , and . Phys. Commun., (August 2023)

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UAV-Enabled Integrated Sensing, Computing, and Communication: A Fundamental Trade-Off., , , and . IEEE Wirel. Commun. Lett., 12 (5): 843-847 (May 2023)CNN-Cap: Effective Convolutional Neural Network-based Capacitance Models for Interconnect Capacitance Extraction., , , , and . ACM Trans. Design Autom. Electr. Syst., 28 (4): 56:1-56:22 (July 2023)Cellular-Connected UAV Trajectory Design With Connectivity Constraint: A Deep Reinforcement Learning Approach., , , , and . IEEE Trans. Green Commun. Netw., 5 (3): 1369-1380 (2021)Joint Resource and Trajectory Optimization for Security in UAV-Assisted MEC Systems., , , , and . IEEE Trans. Commun., 69 (1): 573-588 (2021)Cellular-Connected Multi-UAV MEC Networks: An Online Stochastic Optimization Approach., , , , , and . IEEE Trans. Commun., 70 (10): 6630-6647 (2022)UAV path design with connectivity constraint based on deep reinforcement learning., , , , and . Phys. Commun., (2022)Minimum-Throughput Maximization for Multi-UAV-Enabled Wireless-Powered Communication Networks., , , and . Sensors, 19 (7): 1491 (2019)Pose2Seg: Human Instance Segmentation Without Detection., , , , , , , and . CoRR, (2018)Joint Computation and Communication Design for UAV-Assisted Mobile Edge Computing in IoT., , , , and . CoRR, (2019)Trajectory Design for UAV-Based Inspection System: A Deep Reinforcement Learning Approach., , , and . ICC Workshops, page 1654-1659. IEEE, (2023)