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Energy Consumption and Communication Quality Tradeoff for Logistics UAVs: A Hybrid Deep Reinforcement Learning Approach.

, , , and . WCNC, page 1-6. IEEE, (2023)

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Joint trajectory and power optimization for mobile jammer-aided secure UAV relay network., , , , and . Veh. Commun., (2021)Joint Energy and Trajectory Optimization for UAV-Enabled Relaying Network With Multi-Pair Users., , , , , and . IEEE Trans. Cogn. Commun. Netw., 7 (3): 939-954 (2021)3D Radio Map Reconstruction and Trajectory Optimization for Cellular-Connected UAVs., , , , and . J. Commun. Inf. Networks, 8 (4): 357-368 (December 2023)Tradeoff of Computation Bits and Computing Speed in an Edge Computing System for Sensor Networks., , and . J. Sensors, (2021)Transceiver Design and Power Allocation for SWIPT in MIMO Cognitive Radio Systems., , , , and . Symmetry, 10 (11): 647 (2018)Resource optimization for UAV-assisted mobile edge computing system based on deep reinforcement learning., , , , and . Phys. Commun., (August 2023)Proactive eavesdropping rate maximization with UAV spoofing relay., , , , , and . Phys. Commun., (2022)Energy Consumption and Communication Quality Tradeoff for Logistics UAVs: A Hybrid Deep Reinforcement Learning Approach., , , and . WCNC, page 1-6. IEEE, (2023)Energy Minimization for Cellular-Connected UAV-MEC Patrol Inspection Systems., , , , , and . ICCC, page 389-394. IEEE, (2022)Energy Minimization for Rotary-Wing UAV Enabled WPCN., , and . ICIRA (4), volume 11743 of Lecture Notes in Computer Science, page 27-40. Springer, (2019)