Van Dinh Nguyen
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| Fakultät oder Zentrum | Interdisciplinary Centre for Security, Reliability and Trust | ||||
| Department | SigCom | ||||
| Postadresse |
Université du Luxembourg 29, avenue JF Kennedy L-1855 Luxembourg |
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| Büroadresse | JFK Building, E03-326 | ||||
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| Telefon | (+352) 46 66 44 5453 | ||||
| Fax | (+352) 46 66 44 35453 | ||||
Van-Dinh Nguyen joined the Signal Processing and Satellite Communications research group (SIGCOM) as a Research Associate in 2019, headed by Prof. Björn Ottersten and he will be reporting to Prof. Symeon Chatzinotas. Nguyen received Ph.D. degree in Information and Communication Technology - Electronics Engineering from Soongsil University (SSU), South Korea in 2018. From Sept. 2018 - Aug. 2019, he was a Lecturer and Postdoctoral Scholar at SSU. He was a Postdoctoral Visiting Scholar with the University of Technology Sydney, AUS (July-August 2018) and a Ph.D. Visiting Scholar with Queen’s University Belfast, U.K. (June–July 2015 and August 2016).
His current research interests include full-duplex communications, fog/edge computing, IoT networks, 5G network resource allocations, cross-layer network optimization and distributed machine learning for wireless networks. He has authored or co-authored in 40 papers published in international journals and conference proceedings.
He is an Editor for the IEEE Open Journal of the Communications Society and IEEE Communications Letters. He has also served as Technical Program Committee (TPC) chair/TPC Member/Session Chair for about 15 conferences/workshops, and reviewer of many IEEE journals and conferences like IEEE Communications Magazine, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Signal Processing, IEEE Transactions on Communications, IEEE Transactions on Wireless Communications.
Last updated on: Dienstag, den 31. März 2020
In press
UAV-Assisted Secure Communications in Terrestrial Cognitive Radio Networks: Joint Power Control and 3D Trajectory Optimization; ; ;
in IEEE Transactions on Vehicular Communications (in press)
Machine Learning-Enabled Joint Antenna Selection and Precoding Design: From Offline Complexity to Online Performance; ; ; ; ; ;
in IEEE Transactions on Wireless Communications (in press)
2021
Resource Allocation for AF Relaying Wireless-Powered Networks with Nonlinear Energy Harvester; ; ; ;
in IEEE Communications Letters (2021), 25(1), 1089-7798
Efficient Federated Learning Algorithm for Resource Allocation in Wireless IoT Networks; ; ; ;
in IEEE Internet of Things Journal (2021), 8(5), 3394-3409
2020
Optimization of Rate Fairness in Multi-Pair Wireless-Powered Relaying System; ; ; ;
in IEEE Communications Letters (2020), 24(03), 603-607
On the Spectral and Energy Efficiencies of Full-Duplex Cell-Free Massive MIMO; ; ; ; ; ;
in IEEE Journal on Selected Areas in Communications (2020), 38(8), 1698-1718
Resource Allocation for Energy Efficiency in OFDMA-Enabled WPCN; ; ; ;
in IEEE Wireless Communications Letters (2020), 9(12), 2049-2053
Hybrid User Pairing for Spectral and Energy Efficiencies in Multiuser MISO-NOMA Networks with SWIPT; ; ;
in IEEE Transactions on Communications (2020), 68(8), 4874-4890
Emerging Techniques and Applications for 5G Networks and Beyond; ;
in Mobile Networks and Applications (2020)
A Novel Heap-based Pilot Assignment for Full Duplex Cell-Free Massive MIMO with Zero-Forcing; ; ; ; ; ;
in IEEE International Conference on Communications (2020, June 07)
Resource Allocation for UAV Relay-Assisted IoT Communication Networks; ; ; ; ;
Scientific Conference (2020, October 06)
UAV Relay-Assisted Emergency Communications in IoT Networks: Resource Allocation and Trajectory Optimization; ; ; ; ;
E-print/Working paper (2020)
2015
Secrecy Capacity of the Primary System in a Cognitive Radio Network; ;
in IEEE Transactions on Vehicular Technology (2015), 64(8), 3834-3843
