Yan Kyaw Tun
Orcid: 0000-0002-8557-0082
According to our database1,
Yan Kyaw Tun
authored at least 77 papers
between 2016 and 2024.
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Bibliography
2024
IEEE Commun. Lett., November, 2024
An Efficient Federated Learning Framework for Training Semantic Communication Systems.
IEEE Trans. Veh. Technol., October, 2024
Swin Transformer-Based Dynamic Semantic Communication for Multi-User With Different Computing Capacity.
IEEE Trans. Veh. Technol., June, 2024
IEEE Wirel. Commun. Lett., May, 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
SpaceRIS: LEO Satellite Coverage Maximization in 6G Sub-THz Networks by MAPPO DRL and Whale Optimization.
IEEE J. Sel. Areas Commun., May, 2024
Deep Reinforcement Learning-Based Joint Spectrum Allocation and Configuration Design for STAR-RIS-Assisted V2X Communications.
IEEE Internet Things J., April, 2024
Imbalance Cost-Aware Energy Scheduling for Prosumers Towards UAM Charging: A Matching and Multi-Agent DRL Approach.
IEEE Trans. Veh. Technol., March, 2024
Energy-Efficient Communication Networks via Multiple Aerial Reconfigurable Intelligent Surfaces: DRL and Optimization Approach.
IEEE Trans. Veh. Technol., March, 2024
Collaborative Computing Services at Ground, Air, and Space: An Optimization Approach.
IEEE Trans. Veh. Technol., January, 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
IEEE Trans. Netw. Sci. Eng., 2024
Towards Satellite Non-IID Imagery: A Spectral Clustering-Assisted Federated Learning Approach.
CoRR, 2024
Enhancing Spectrum Efficiency in 6G Satellite Networks: A GAIL-Powered Policy Learning via Asynchronous Federated Inverse Reinforcement Learning.
CoRR, 2024
Semantic Communication Enabled 6G-NTN Framework: A Novel Denoising and Gateway Hop Integration Mechanism.
CoRR, 2024
Active STAR-RIS Empowered Edge System for Enhanced Energy Efficiency and Task Management.
CoRR, 2024
Semantic Enabled 6G LEO Satellite Communication for Earth Observation: A Resource-Constrained Network Optimization.
CoRR, 2024
Design Optimization of NOMA Aided Multi-STAR-RIS for Indoor Environments: A Convex Approximation Imitated Reinforcement Learning Approach.
CoRR, 2024
Optimizing Multi-User Semantic Communication via Transfer Learning and Knowledge Distillation.
CoRR, 2024
Data Service Maximization in Integrated Terrestrial-Non-Terrestrial 6G Networks: A Deep Reinforcement Learning Approach.
CoRR, 2024
Joint UAV Deployment and Resource Allocation in THz-Assisted MEC-Enabled Integrated Space-Air-Ground Networks.
CoRR, 2024
Min-Max Decoding Error Probability Optimization in RIS-Aided Hybrid TDMA-NOMA Networks.
IEEE Access, 2024
Joint User Pairing and Beamforming Design of Multi-STAR-RISs-Aided NOMA in the Indoor Environment via Multi-Agent Reinforcement Learning.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024
Pilot Optimization and Channel Estimation Scheme for Semantic Communication: A Framework for Edge Intelligence.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024
2023
Ruin Theory for User Association and Energy Optimization in Multi-Access Edge Computing.
IEEE Trans. Veh. Technol., September, 2023
A Contract-Theory-Based Incentive Mechanism for UAV-Enabled VR-Based Services in 5G and Beyond.
IEEE Internet Things J., September, 2023
IEEE Commun. Lett., August, 2023
Dependency Tasks Offloading and Communication Resource Allocation in Collaborative UAV Networks: A Metaheuristic Approach.
IEEE Internet Things J., May, 2023
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks.
IEEE Trans. Mob. Comput., 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
Min-max Decoding Error Probability Optimization in RIS-Aided Hybrid TDMA-NOMA Networks.
CoRR, 2023
Energy Efficient Leaderless Softwarized UAV Network: Joint Intelligent User Association and Resource Allocation Design.
Proceedings of the NOMS 2023, 2023
Deep Reinforcement Learning based Spectral Efficiency Maximization in STAR-RIS-Assisted Indoor Outdoor Communication.
Proceedings of the NOMS 2023, 2023
RIS-Assisted UAV-Enabled JSAC System: Joint Radio Resource and Phase Shift Optimization Framework.
Proceedings of the IEEE Globecom Workshops 2023, 2023
Sum-Rate Maximization in Integrated Space-Air-Ground Networks under Backhaul Capacity Constraints.
Proceedings of the IEEE Global Communications Conference, 2023
2022
Intelligent EV Charging for Urban Prosumer Communities: An Auction and Multi-Agent Deep Reinforcement Learning Approach.
IEEE Trans. Netw. Serv. Manag., December, 2022
IEEE Trans. Veh. Technol., 2022
Trajectory Optimization and Phase-Shift Design in IRS-Assisted UAV Network for Smart Railway.
IEEE Trans. Veh. Technol., 2022
Energy-Efficient Resource Allocation in Multi-UAV-Assisted Two-Stage Edge Computing for Beyond 5G Networks.
IEEE Trans. Intell. Transp. Syst., 2022
Collaboration in the Sky: A Distributed Framework for Task Offloading and Resource Allocation in Multi-Access Edge Computing.
IEEE Internet Things J., 2022
Dependency Tasks Offloading and Communication Resource Allocation in Collaborative UAVs Networks: A Meta-Heuristic Approach.
CoRR, 2022
Joint Communication, Computation, and Control for Computational Task Offloading in Vehicle-Assisted Multi-Access Edge Computing.
IEEE Access, 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
Energy-Efficiency Maximization of Multiple RISs-Enabled Communication Networks by Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Communications, 2022
2021
IEEE Wirel. Commun. Lett., 2021
An Incentive Mechanism for Federated Learning in Wireless Cellular Networks: An Auction Approach.
IEEE Trans. Wirel. Commun., 2021
IEEE Commun. Lett., 2021
Trajectory Optimization and Phase-Shift Design in IRS Assisted UAV Network for High Speed Trains.
CoRR, 2021
Proceedings of the International Conference on Information Networking, 2021
Proceedings of the IEEE Global Communications Conference, 2021
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021
Proceedings of the 22nd Asia-Pacific Network Operations and Management Symposium, 2021
2020
IEEE Trans. Wirel. Commun., 2020
An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach.
CoRR, 2020
Joint Radio Resource Allocation and Content Caching in Heterogeneous Virtualized Wireless Networks.
IEEE Access, 2020
Energy Efficient Communication and Computation Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond.
IEEE Access, 2020
Auction based Incentive Design for Efficient Federated Learning in Cellular Wireless Networks.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020
Sharing Incentive Mechanism, Task Assignment and Resource Allocation for Task Offloading in Vehicular Mobile Edge Computing.
Proceedings of the NOMS 2020, 2020
UAV-Assisted Multi-Access Edge Computing System: An Energy-Efficient Resource Management Framework.
Proceedings of the 2020 International Conference on Information Networking, 2020
Proceedings of the 21st Asia-Pacific Network Operations and Management Symposium, 2020
Energy-Efficient Offloading and User Association in UAV-assisted Vehicular Ad Hoc Network.
Proceedings of the 21st Asia-Pacific Network Operations and Management Symposium, 2020
2019
IEEE J. Sel. Areas Commun., 2019
A Deep Learning Model Generation Framework for Virtualized Multi-Access Edge Cache Management.
IEEE Access, 2019
Towards Coexistence of Cellular and WiFi Networks in Unlicensed Spectrum: A Neural Networks Based Approach.
IEEE Access, 2019
Weighted Proportional Allocation Based Power Allocation in Wireless Network Virtualization for Future Wireless Networks.
Proceedings of the 33rd International Conference on Information Networking, 2019
A Chance Constrained Based Formulation for Dynamic Multiplexing of eMBB-URLLC Traffics in 5G New Radio.
Proceedings of the 33rd International Conference on Information Networking, 2019
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019
Energy Efficient Multi-Tenant Resource Slicing in Virtualized Multi-Access Edge Computing.
Proceedings of the 20th Asia-Pacific Network Operations and Management Symposium, 2019
A Hopfield Neural Networks Based Mechanism for Coexistence of LTE-U and WiFi Networks in Unlicensed Spectrum.
Proceedings of the 20th Asia-Pacific Network Operations and Management Symposium, 2019
2017
Proceedings of the 19th Asia-Pacific Network Operations and Management Symposium, 2017
Proceedings of the 19th Asia-Pacific Network Operations and Management Symposium, 2017
2016
Proceedings of the 2016 International Conference on Information Networking, 2016