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3TO: THz-Enabled Throughput and Trajectory Optimization of UAVs in 6G Networks by Proximal Policy Optimization Deep Reinforcement Learning.

, , , , , and . ICC, page 5712-5718. IEEE, (2022)

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Latency-sensitive Service Delivery with UAV-Assisted 5G Networks., , , , , and . CoRR, (2020)A Dispersed Federated Learning Framework for 6G-Enabled Autonomous Driving Cars., , , , , and . CoRR, (2021)Multi-UAV-Assisted MEC System: Joint Association and Resource Management Framework., , , , and . ICOIN, page 213-218. IEEE, (2021)DownlinK power allocation in virtualized wireless networks., , and . APNOMS, page 346-349. IEEE, (2017)Energy-Efficiency Maximization of Multiple RISs-Enabled Communication Networks by Deep Reinforcement Learning., , , and . ICC, page 2181-2186. IEEE, (2022)An Efficient Resource Sharing Model for Multi-UAV-Assisted Wireless Networks., , , , and . APNOMS, page 390-393. IEEE, (2021)UAV-Assisted Multi-Access Edge Computing System: An Energy-Efficient Resource Management Framework., , , , and . ICOIN, page 214-219. IEEE, (2020)Weighted Proportional Allocation Based Power Allocation in Wireless Network Virtualization for Future Wireless Networks., , , , and . ICOIN, page 284-289. IEEE, (2019)Incentivize to Build: A Crowdsourcing Framework for Federated Learning., , , , , and . GLOBECOM, page 1-6. IEEE, (2019)Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks., , , , and . IEEE Trans. Mob. Comput., 22 (1): 541-555 (2023)