Yan Kyaw Tun

KTH Royal Institute of Technology

Sweden

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Articles (22)

Joint UAV Deployment and Resource Allocation in THz-Assisted MEC-Enabled Integrated Space-Air-Ground Networks

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Year:

2025

Design Optimization of NOMA Aided Multi-STAR-RIS for Indoor Environments: A Convex Approximation Imitated Reinforcement Learning Approach

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Year:

2025

Semantic Communication Enabled 6G-NTN Framework: A Novel Denoising and Gateway Hop Integration Mechanism

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Year:

2025

Deep Reinforcement Learning-Based Joint Spectrum Allocation and Configuration Design for STAR-RIS-Assisted V2X Communications

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Year:

2024

Imbalance Cost-Aware Energy Scheduling for Prosumers Towards UAM Charging: A Matching and Multi-Agent DRL Approach

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Year:

2024

A Block-Structured Optimization Approach for Data Sensing and Computing in Vehicle-Assisted Edge Computing Networks

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Year:

2024

A Dispersed Federated Learning Framework for 6G-Enabled Autonomous Driving Cars

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Year:

2024

Aerial STAR-RIS Empowered MEC: A DRL Approach for Energy Minimization

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Year:

2024

Energy-Efficient Communication Networks via Multiple Aerial Reconfigurable Intelligent Surfaces: DRL and Optimization Approach

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Year:

2024

Min-max Decoding Error Probability Optimization in RIS-Aided Hybrid TDMA-NOMA Networks

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Year:

2024

An Efficient Federated Learning Framework for Training Semantic Communication Systems

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Year:

2024

Swin Transformer-Based Dynamic Semantic Communication for Multi-User with Different Computing Capacity

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Year:

2024

A Contract-Theory-Based Incentive Mechanism for UAV-Enabled VR-Based Services in 5G and Beyond

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Year:

2023

When Hierarchical Federated Learning Meets Stochastic Game: Toward an Intelligent UAV Charging in Urban Prosumers

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Year:

2023

Dependency Tasks Offloading and Communication Resource Allocation in Collaborative UAV Networks: A Metaheuristic Approach

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Year:

2023

Seamless and Energy-Efficient Maritime Coverage in Coordinated 6G Space–Air–Sea Non-Terrestrial Networks

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Year:

2023

Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks

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Year:

2023

Collaborative Computing Services at Ground, Air, and Space: An Optimization Approach

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Year:

2023

Deep Reinforcement Learning for Channel Estimation in RIS-Aided Wireless Networks

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Year:

2023

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

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Year:

2023

Ruin Theory for User Association and Energy Optimization in Multi-Access Edge Computing

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Year:

2023

Satellite-Based ITS Data Offloading & Computation in 6G Networks: A Cooperative Multi-Agent Proximal Policy Optimization DRL With Attention Approach

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Year:

2023

Collaborators (8)

Tri Nguyen Dang

Kyungpook National University

SOUTH KOREA

György Dán

Professor at KTH Royal Institute of Technology

KTH Royal Institute of Technology

SWEDEN

Muhammad imran

Federation University

AUSTRALIA

Md. Shirajum Munir

Research Assistant Professor

Old Dominion University

UNITED STATES

Nguyen H. Tran

University of Sydney

AUSTRALIA

Choong Seon Hong

Professor

Kyung Hee University - Global Campus

SOUTH KOREA

Nguyen Luong Vuong

Adjunct Professor

The Catholic University of Korea

SOUTH KOREA

Viet Quoc Pham

Assistant Professor

Trinity College Dublin

IRELAND

Yan Kyaw Tun

Research Interests

Explore related searches

Contact this professor

Articles (22)

Joint UAV Deployment and Resource Allocation in THz-Assisted MEC-Enabled Integrated Space-Air-Ground Networks

Design Optimization of NOMA Aided Multi-STAR-RIS for Indoor Environments: A Convex Approximation Imitated Reinforcement Learning Approach

Semantic Communication Enabled 6G-NTN Framework: A Novel Denoising and Gateway Hop Integration Mechanism

Deep Reinforcement Learning-Based Joint Spectrum Allocation and Configuration Design for STAR-RIS-Assisted V2X Communications

Imbalance Cost-Aware Energy Scheduling for Prosumers Towards UAM Charging: A Matching and Multi-Agent DRL Approach

A Block-Structured Optimization Approach for Data Sensing and Computing in Vehicle-Assisted Edge Computing Networks

A Dispersed Federated Learning Framework for 6G-Enabled Autonomous Driving Cars

Aerial STAR-RIS Empowered MEC: A DRL Approach for Energy Minimization

Energy-Efficient Communication Networks via Multiple Aerial Reconfigurable Intelligent Surfaces: DRL and Optimization Approach

Min-max Decoding Error Probability Optimization in RIS-Aided Hybrid TDMA-NOMA Networks

An Efficient Federated Learning Framework for Training Semantic Communication Systems

Swin Transformer-Based Dynamic Semantic Communication for Multi-User with Different Computing Capacity

A Contract-Theory-Based Incentive Mechanism for UAV-Enabled VR-Based Services in 5G and Beyond

When Hierarchical Federated Learning Meets Stochastic Game: Toward an Intelligent UAV Charging in Urban Prosumers

Dependency Tasks Offloading and Communication Resource Allocation in Collaborative UAV Networks: A Metaheuristic Approach

Seamless and Energy-Efficient Maritime Coverage in Coordinated 6G Space–Air–Sea Non-Terrestrial Networks

Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks

Collaborative Computing Services at Ground, Air, and Space: An Optimization Approach

Deep Reinforcement Learning for Channel Estimation in RIS-Aided Wireless Networks

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

Ruin Theory for User Association and Energy Optimization in Multi-Access Edge Computing

Satellite-Based ITS Data Offloading & Computation in 6G Networks: A Cooperative Multi-Agent Proximal Policy Optimization DRL With Attention Approach

Collaborators (8)

Tri Nguyen Dang

György Dán

Muhammad imran

Md. Shirajum Munir

Nguyen H. Tran

Choong Seon Hong

Nguyen Luong Vuong

Viet Quoc Pham

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