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Spectrum Learning-Aided Reconfigurable Intelligent Surfaces for 'Green' 6G Networks


Sep 03, 2021
Bo Yang, Xuelin Cao, Chongwen Huang, Yong Liang Guan, Chau Yuen, Marco Di Renzo, Dusit Niyato, Merouane Debbah, Lajos Hanzo


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6G Internet of Things: A Comprehensive Survey


Aug 11, 2021
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, Dusit Niyato, Octavia Dobre, H. Vincent Poor

* Accepted at IEEE Internet of Things Journal, 25 pages 

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Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging


Aug 02, 2021
Md. Shirajum Munir, Ki Tae Kim, Kyi Thar, Dusit Niyato, Choong Seon Hong

* Submitted to IEEE publisher for peer review 

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Optimal Power Allocation for Rate Splitting Communications with Deep Reinforcement Learning


Jul 01, 2021
Nguyen Quang Hieu, Dinh Thai Hoang, Dusit Niyato, Dong In Kim


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Optimal Status Update for Caching Enabled IoT Networks: A Dueling Deep R-Network Approach


Jun 13, 2021
Chao Xu, Yiping Xie, Xijun Wang, Howard H. Yang, Dusit Niyato, Tony Q. S. Quek


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Converged Reconfigurable Intelligent Surface and Mobile Edge Computing for Space Information Networks


Jun 08, 2021
Xuelin Cao, Bo Yang, Chongwen Huang, Chau Yuen, Yan Zhang, Dusit Niyato, Zhu Han


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Federated Learning for Industrial Internet of Things in Future Industries


May 31, 2021
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, Dusit Niyato, H. Vincent Poor

* Accepted at IEEE Wireless Communications Magazine 

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Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles with Joint Radar-Data Communications


May 28, 2021
Nguyen Quang Hieu, Dinh Thai Hoang, Dusit Niyato, Ping Wang, Dong In Kim, Chau Yuen


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Throughput Maximization for IRS-Assisted Wireless Powered Hybrid NOMA and TDMA


Apr 27, 2021
Dingcai Zhang, Qingqing Wu, Miao Cui, Guangchi Zhang, Dusit Niyato

* 10 pages, 5 figures, submitted to IEEE WCL 

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A Joint Energy and Latency Framework for Transfer Learning over 5G Industrial Edge Networks


Apr 19, 2021
Bo Yang, Omobayode Fagbohungbe, Xuelin Cao, Chau Yuen, Lijun Qian, Dusit Niyato, Yan Zhang


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Optimizing the Long-Term Average Reward for Continuing MDPs: A Technical Report


Apr 14, 2021
Chao Xu, Yiping Xie, Xijun Wang, Howard H. Yang, Dusit Niyato, Tony Q. S. Quek


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Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges


Apr 05, 2021
Dinh C. Nguyen, Ming Ding, Quoc-Viet Pham, Pubudu N. Pathirana, Long Bao Le, Aruna Seneviratne, Jun Li, Dusit Niyato, H. Vincent Poor

* Accepted at the IEEE Internet of Things Journal, 19 pages 

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Learning Rate Optimization for Federated Learning Exploiting Over-the-air Computation


Mar 01, 2021
Chunmei Xu, Shengheng Liu, Zhaohui Yang, Yongming Huang, Dusit Niyato, Kai-Kit Wong


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Transfer Learning for Future Wireless Networks: A Comprehensive Survey


Feb 15, 2021
Cong T. Nguyen, Nguyen Van Huynh, Nam H. Chu, Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen, Quoc-Viet Pham, Dusit Niyato, Eryk Dutkiewicz, Won-Joo Hwang


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Intelligent Reflecting Surface Assisted Anti-Jamming Communications Based on Reinforcement Learning


Dec 23, 2020
Helin Yang, Zehui Xiong, Jun Zhao, Dusit Niyato, Qingqing Wu, Massimo Tornatore, Stefano Secci

* This paper appears in the Proceedings of IEEE Global Communications Conference (GLOBECOM) 2020. A full version appears in IEEE Transactions on Wireless Communications. arXiv:2004.12539 

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A Comprehensive Survey of 6G Wireless Communications


Dec 21, 2020
Yang Zhao, Wenchao Zhai, Jun Zhao, Tinghao Zhang, Sumei Sun, Dusit Niyato, Kwok-Yan Lam


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Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things


Dec 08, 2020
Yi Liu, Ruihui Zhao, Jiawen Kang, Abdulsalam Yassine, Dusit Niyato, Jialiang Peng


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Optimization-driven Machine Learning for Intelligent Reflecting Surfaces Assisted Wireless Networks


Aug 29, 2020
Shimin Gong, Jiaye Lin, Jinbei Zhang, Dusit Niyato, Dong In Kim, Mohsen Guizani

* submitted to IEEE Communications Magazine 

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Toward Smart Security Enhancement of Federated Learning Networks


Aug 19, 2020
Junjie Tan, Ying-Chang Liang, Nguyen Cong Luong, Dusit Niyato


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Predictive Maintenance for Edge-Based Sensor Networks: A Deep Reinforcement Learning Approach


Jul 07, 2020
Kevin Shen Hoong Ong, Dusit Niyato, Chau Yuen

* 6 pages, 5 figures, accepted in IEEE WF-IoT 2020 

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Cognitive Radio Network Throughput Maximization with Deep Reinforcement Learning


Jul 07, 2020
Kevin Shen Hoong Ong, Yang Zhang, Dusit Niyato

* 5 pages, 2 figures, accepted in IEEE VTC-Fall 2019 

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Federated Learning for 6G Communications: Challenges, Methods, and Future Directions


Jun 04, 2020
Yi Liu, Xingliang Yuan, Zehui Xiong, Jiawen Kang, Xiaofei Wang, Dusit Niyato


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Incentive Mechanism Design for Resource Sharing in Collaborative Edge Learning


May 31, 2020
Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Dusit Niyato, Cyril Leung, Chunyan Miao, Qiang Yang


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Optimization-driven Deep Reinforcement Learning for Robust Beamforming in IRS-assisted Wireless Communications


May 25, 2020
Jiaye Lin, Yuze Zou, Xiaoru Dong, Shimin Gong, Dinh Thai Hoang, Dusit Niyato


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A Secure Federated Learning Framework for 5G Networks


May 12, 2020
Yi Liu, Jialiang Peng, Jiawen Kang, Abdullah M. Iliyasu, Dusit Niyato, Ahmed A. Abd El-Latif

* This paper was accepted by IEEE Wireless Communications Magazine 

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Demand-Side Scheduling Based on Deep Actor-Critic Learning for Smart Grids


May 05, 2020
Joash Lee, Wenbo Wang, Dusit Niyato


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Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach


May 01, 2020
Nguyen Quang Hieu, Tran The Anh, Nguyen Cong Luong, Dusit Niyato, Dong In Kim, Erik Elmroth


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Local Differential Privacy based Federated Learning for Internet of Things


Apr 19, 2020
Yang Zhao, Jun Zhao, Mengmeng Yang, Teng Wang, Ning Wang, Lingjuan Lyu, Dusit Niyato, Kwok Yan Lam


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