Publications

Jump to: 2021, 2020, 2019

2021

Radio Resource Management in Joint Radar and Communication: A Comprehensive Survey
Rudzidatul Akmam Dziyauddin, Dusit Niyato, Nguyen Cong Luong, et al.,
Computer Networks (Volume 197, 9 October 2021)

Radio Resource Management in Joint Radar and Communication: A Comprehensive Survey
N. C. Luong, X. Lu, D. T. Hoang, D. Niyato and D. I. Kim
IEEE Communications Surveys & Tutorials (vol. 23, no. 2, pp. 780-814, Secondquarter 2021)

A Comprehensive Survey on Coded Distributed Computing: Fundamentals, Challenges, and Networking Applications
Jer Shyuan Ng, Wei Yang Bryan Lim, Nguyen Cong Luong, Zehui Xiong, Alia Asheralieva, Dusit Niyato, Cyril Leung, Chunyan Miao
IEEE Communications Surveys & Tutorials (to appear)

Dynamic Network Service Selection in IRS-assisted Wireless Networks: A Game Theory Approach
Nguyen Cong Luong, Thi Thanh Van Nguyen, Shaohan Feng, Huy T Nguyen, Tao Dusit Niyato, Dong In Kim
IEEE Transactions on Vehicular Technology (vol. 70, no. 5, May 2021)

A Hierarchical Game Model for OFDM Integrated Radar and Communication Systems
Huy T Nguyen, Hoang Thai Dinh, Nguyen Cong Luong, Tao Dusit Niyato, Dong In Kim
IEEE Transactions on Vehicular Technology (vol. 70, no. 5, May 2021)

IkebanaGAN: New GANs Technique for Digital Ikebana Art
Mai Cong Hung, Mai Xuan Trang, Naoko Tosa, Ryohei Nakatsu
Lecture Notes in Computer Science, Vol. 12794

Transformation of Landscape into Artistic and Cultural Video Using AI for Future Car
Mai Cong Hung, Mai Xuan Trang, Naoko Tosa, Ryohei Nakatsu
Lecture Notes in Computer Science, Vol. 12795

2020

Federated Learning in Mobile Edge Networks: A Comprehensive Survey
W. Y. B. Lim, C. L. Nguyen, D. T. Hoang, Y. Jiao, Y. C. Liang, Q. Yang, D. Niyato, C. Miao
IEEE Communications Surveys & Tutorials (Vol. 22, Issue 3, 3rd 2020, Q1, IF 23.7)

A Machine-Learning-Based Auction for Resource Trading in Fog Computing
Nguyen Cong Luong, Yutao Jiao, Ping Wang, Dusit Niyato, Dong In Kim, Zhu Han
IEEE Communications Magazine (Vol. 58, Issue 3, 2020)

Toward Smart Security Enhancement of Federated Learning Networks
Junjie Tan; Ying-Chang Liang; Nguyen Cong Luong; Dusit Niyato
IEEE Network (Early Access)

A Deep Reinforcement Learning Approach for Backscatter-Assisted Relay Communications
Tran The Anh, Nguyen Cong Luong, Dusit Niyato
IEEE Wireless Communications Letters (Vol. 10, Issue 1, 2021)

iRDRC: An Intelligent Real-Time Dual-Functional Radar-Communication System for Automotive Vehicles
Nguyen Quang Hieu, Dinh Thai Hoang, Nguyen Cong Luong, Dusit Niyato
IEEE Wireless Communications Letters (Vol. 9, Issue 12, 2020)

Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach
Huy T. Nguyen, C. L. Nguyen, J. Zhao, and D. Niyato
IEEE 6th World Forum on The Internet of Things (WF-IoT 2020)

2019

Efficient Training Management for Mobile Crowd-Machine Learning: A Deep Reinforcement Learning Approach
Tran The Anh, Nguyen Cong Luong, Dusit Niyato, Dong In Kim, Li-Chun Wang
IEEE Wireless Communications Letters (Vol. 8, Issue 5, 2019)

Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
Nguyen Cong Luong, Dinh Thai Hoang, Shimin Gong, Dusit Niyato, Ping Wang, Ying-Chang Liang, Dong In Kim
IEEE Communications Surveys & Tutorials (Vol. 21, Issue 4, 2019)

Joint Transaction Transmission and Channel Selection in Cognitive Radio Based Blockchain Networks: A Deep Reinforcement Learning Approach
C. L. Nguyen, T. T. Anh, H. T. T. Binh, D. Niyato, D. I. Kim, and Y. C. Liang
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019

Deep Reinforcement Learning for Time Scheduling in RF-Powered Backscatter Cognitive Radio Networks
T. T. Anh, C. L. Nguyen, D. Niyato, Y. C. Liang, and D. I. Kim
IEEE Wireless Communications and Networking Conference (WCNC), 2019

Optimal Auction for Edge Computing Resource Management in Mobile Blockchain Networks: A Deep Learning Approach
C. L. Nguyen, Z. Xiong, P. Wang, and D. Niyato
IEEE International Conference on Communications, 2018

News

12. December 2020

Our two papers on applications of AI in Art have been accepted for publications in the HCII 2021's proceedings

12. November 2020

Phenikaa AI Lab is established!!!

... see all News