Dusit Niyato

Research interests

Publications

• Overview of AI and communication for 6G network: fundamentals, challenges, and future research opportunities

  Science China Information Sciences · 2025 · https://doi.org/10.1007/s11432-024-4337-1

• Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization

  IEEE Communications Surveys & Tutorials · 2024 · https://doi.org/10.1109/comst.2024.3400011

• Vulnerability of Machine Learning Approaches Applied in IoT-Based Smart Grid: A Review

  IEEE Internet of Things Journal · 2024 · https://doi.org/10.1109/jiot.2024.3349381

• Generative AI Agents With Large Language Model for Satellite Networks via a Mixture of Experts Transmission

  IEEE Journal on Selected Areas in Communications · 2024 · https://doi.org/10.1109/jsac.2024.3459037

• Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services

  IEEE Communications Surveys & Tutorials · 2024 · https://doi.org/10.1109/comst.2024.3353265

• Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges

  IEEE Communications Surveys & Tutorials · 2022 · 10.1109/comst.2022.3223224

• A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges

  IEEE Communications Surveys & Tutorials · 2022 · 10.1109/comst.2022.3221119

• Healthcare in Metaverse: A Survey on Current Metaverse Applications in Healthcare

  IEEE Access · 2022 · https://doi.org/10.1109/access.2022.3219845

• Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven

  IEEE Wireless Communications · 2022 · https://doi.org/10.1109/mwc.018.2100716

• 6G Internet of Things: A Comprehensive Survey

  IEEE Internet of Things Journal · 2021 · https://doi.org/10.1109/jiot.2021.3103320

• Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach

  IEEE Transactions on Intelligent Transportation Systems · 2021 · https://doi.org/10.1109/tits.2021.3056341

• Decentralized Edge Intelligence: A Dynamic Resource Allocation Framework for Hierarchical Federated Learning

  IEEE Transactions on Parallel and Distributed Systems · 2021 · https://doi.org/10.1109/tpds.2021.3096076

• Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

  IEEE Communications Surveys & Tutorials · 2020 · https://doi.org/10.1109/comst.2020.2970550

• A Secure Federated Learning Framework for 5G Networks

  IEEE Wireless Communications · 2020 · https://doi.org/10.1109/mwc.01.1900525

• Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks

  IEEE Internet of Things Journal · 2020 · https://doi.org/10.1109/jiot.2020.2985694

• Intelligent Reflecting Surface Assisted Anti-Jamming Communications: A Fast Reinforcement Learning Approach

  IEEE Transactions on Wireless Communications · 2020 · https://doi.org/10.1109/twc.2020.3037767

• Federated Learning in Mobile Edge Networks: A Comprehensive Survey

  IEEE Communications Surveys & Tutorials · 2020 · https://doi.org/10.1109/comst.2020.2986024

• Artificial-Intelligence-Enabled Intelligent 6G Networks

  IEEE Network · 2020 · https://doi.org/10.1109/mnet.011.2000195

• Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach

  IEEE Internet of Things Journal · 2020 · 10.1109/jiot.2020.2991401

• Reliable Federated Learning for Mobile Networks

  IEEE Wireless Communications · 2020 · 10.1109/mwc.001.1900119

• Incentive Mechanism for Reliable Federated Learning: A Joint Optimization Approach to Combining Reputation and Contract Theory

  IEEE Internet of Things Journal · 2019 · 10.1109/jiot.2019.2940820

• Deep Reinforcement Learning for Mobile 5G and Beyond: Fundamentals, Applications, and Challenges

  IEEE Vehicular Technology Magazine · 2019 · https://doi.org/10.1109/mvt.2019.2903655

• Toward Secure Blockchain-Enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory

  IEEE Transactions on Vehicular Technology · 2019 · 10.1109/tvt.2019.2894944

• Applications of Deep Reinforcement Learning in Communications and Networking: A Survey

  IEEE Communications Surveys & Tutorials · 2019 · https://doi.org/10.1109/comst.2019.2916583

• Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach

  Journal · 2019 · https://doi.org/10.1109/vts-apwcs.2019.8851649

• A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks

  IEEE Access · 2019 · https://doi.org/10.1109/access.2019.2896108

• Ambient Backscatter Communications: A Contemporary Survey

  IEEE Communications Surveys & Tutorials · 2018 · 10.1109/comst.2018.2841964

• When Mobile Blockchain Meets Edge Computing

  IEEE Communications Magazine · 2018 · https://doi.org/10.1109/mcom.2018.1701095

• Cloud/Fog Computing Resource Management and Pricing for Blockchain Networks

  IEEE Internet of Things Journal · 2018 · https://doi.org/10.1109/jiot.2018.2871706

• Wireless Networks With RF Energy Harvesting: A Contemporary Survey

  IEEE Communications Surveys & Tutorials · 2014 · https://doi.org/10.1109/comst.2014.2368999

• A Survey on Software-Defined Networking

  IEEE Communications Surveys & Tutorials · 2014 · 10.1109/comst.2014.2330903

• A survey of mobile cloud computing: architecture, applications, and approaches

  Wireless Communications and Mobile Computing · 2011 · https://doi.org/10.1002/wcm.1203

• Optimization of Resource Provisioning Cost in Cloud Computing

  IEEE Transactions on Services Computing · 2011 · 10.1109/tsc.2011.7

• Dynamic Spectrum Access and Management in Cognitive Radio Networks

  Cambridge University Press eBooks · 2009 · 10.1017/cbo9780511609909

Current projects

No projects listed.