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Joint Trajectory and Resource Optimization of MEC-Assisted UAVs in Sub-THz Networks: A Resources-Based Multi-Agent Proximal Policy Optimization DRL With Attention Mechanism.

, , , , and . IEEE Trans. Veh. Technol., 73 (2): 2003-2016 (2024)

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Energy-Efficiency Maximization of Multiple RISs-Enabled Communication Networks by Deep Reinforcement Learning., , , and . ICC, page 2181-2186. IEEE, (2022)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)Incentivize to Build: A Crowdsourcing Framework for Federated Learning., , , , , and . GLOBECOM, page 1-6. IEEE, (2019)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)A Dispersed Federated Learning Framework for 6G-Enabled Autonomous Driving Cars., , , , , and . CoRR, (2021)Latency-sensitive Service Delivery with UAV-Assisted 5G Networks., , , , , and . CoRR, (2020)An Efficient Resource Sharing Model for Multi-UAV-Assisted Wireless Networks., , , , and . APNOMS, page 390-393. IEEE, (2021)Latency-Sensitive Service Delivery With UAV-Assisted 5G Networks., , , , , and . IEEE Wirel. Commun. Lett., 10 (7): 1518-1522 (2021)