Sheikh Salman Hassan
Orcid: 0000-0002-5317-6494
According to our database1,
Sheikh Salman Hassan
authored at least 20 papers
between 2019 and 2024.
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Bibliography
2024
Satellite-Based ITS Data Offloading & Computation in 6G Networks: A Cooperative Multi-Agent Proximal Policy Optimization DRL With Attention Approach.
IEEE Trans. Mob. Comput., May, 2024
Imbalance Cost-Aware Energy Scheduling for Prosumers Towards UAM Charging: A Matching and Multi-Agent DRL Approach.
IEEE Trans. Veh. Technol., March, 2024
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.
IEEE Trans. Veh. Technol., 2024
2023
When Hierarchical Federated Learning Meets Stochastic Game: Toward an Intelligent UAV Charging in Urban Prosumers.
IEEE Internet Things J., 2023
Seamless and Energy-Efficient Maritime Coverage in Coordinated 6G Space-Air-Sea Non-Terrestrial Networks.
IEEE Internet Things J., 2023
SpaceRIS: LEO Satellite Coverage Maximization in 6G Sub-THz Networks by MAPPO DRL and Whale Optimization.
CoRR, 2023
FL-Incentivizer: FL-NFT and FL-Tokens for Federated Learning Model Trading and Training.
IEEE Access, 2023
Energy Efficient Leaderless Softwarized UAV Network: Joint Intelligent User Association and Resource Allocation Design.
Proceedings of the NOMS 2023, 2023
SFL-LEO: Secure Federated Learning Computation Based on LEO Satellites for 6G Non-Terrestrial Networks.
Proceedings of the NOMS 2023, 2023
Seamless and Efficient Resources Allocation in 6G Satellite Networks Servicing Remote User Equipments.
Proceedings of the International Conference on Information Networking, 2023
Seamless and Intelligent Resource Allocation in 6G Maritime Networks Framework via Deep Reinforcement Learning.
Proceedings of the International Conference on Information Networking, 2023
2022
Joint Resources and Phase-Shift Optimization of MEC-Enabled UAV in IRS-Assisted 6G THz Networks.
Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022
3TO: THz-Enabled Throughput and Trajectory Optimization of UAVs in 6G Networks by Proximal Policy Optimization Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Communications, 2022
Maximizing Throughput of Aerial Base Stations via Resources-based Multi-Agent Proximal Policy Optimization: A Deep Reinforcement Learning Approach.
Proceedings of the 23rd Asia-Pacific Network Operations and Management Symposium, 2022
Proceedings of the 23rd Asia-Pacific Network Operations and Management Symposium, 2022
2021
Cross-Silo Model-Based Secure Federated Transfer Learning for Flow-Based Traffic Classification.
Proceedings of the International Conference on Information Networking, 2021
Reliable Integrated Space-Oceanic Network Profit Maximization by Bender Decomposition Approach.
Proceedings of the International Conference on Information Networking, 2021
Proceedings of the IEEE Global Communications Conference, 2021
On-Demand MEC Empowered UAV Deployment for 6G Time-Sensitive Maritime Internet of Things.
Proceedings of the 22nd Asia-Pacific Network Operations and Management Symposium, 2021
2019
Unmanned Aerial Vehicle Waypoint Guidance with Energy Efficient Path Planning in Smart Factory.
Proceedings of the 20th Asia-Pacific Network Operations and Management Symposium, 2019