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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.

, , , , и . CoRR, (2022)

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Min Park

Min Soo Park

Sang-Min Park

Min-Soo Park

Sang-Min Park

 

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Energy-Efficient Communication Networks via Multiple Aerial Reconfigurable Intelligent Surfaces: DRL and Optimization Approach., , , , и . CoRR, (2022)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., , , , и . CoRR, (2022)3TO: THz-Enabled Throughput and Trajectory Optimization of UAVs in 6G Networks by Proximal Policy Optimization Deep Reinforcement Learning., , , , , и . ICC, стр. 5712-5718. IEEE, (2022)Latency Minimization in Terrestrial-Non-Terrestrial Integrated Network: Joint Association and Bandwidth Allocation Framework., , , и . APNOMS, стр. 143-147. IEEE, (2023)Multi-UAVs Collaboration System based on Machine Learning for Throughput Maximization., , и . APNOMS, стр. 1-4. IEEE, (2019)Satellite-Based ITS Data Offloading & Computation in 6G Networks: A Cooperative Multi-Agent Proximal Policy Optimization DRL With Attention Approach., , , , , и . IEEE Trans. Mob. Comput., 23 (5): 4956-4974 (мая 2024)Maximizing Throughput of Aerial Base Stations via Resources-based Multi-Agent Proximal Policy Optimization: A Deep Reinforcement Learning Approach., , и . APNOMS, стр. 1-4. IEEE, (2022)Machine Learning Based Edge-Assisted UAV Computation Offloading for Data Analyzing., , и . ICOIN, стр. 117-120. IEEE, (2020)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., , , , и . IEEE Trans. Veh. Technol., 73 (2): 2003-2016 (2024)Dependency Tasks Offloading and Communication Resource Allocation in Collaborative UAVs Networks: A Meta-Heuristic Approach., , , , , и . CoRR, (2022)