TU Lam-Thanh
TU Lam-Thanh
Dept. of Electronics & Telecommunications
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Model-aided wireless artificial intelligence: Embedding expert knowledge in deep neural networks for wireless system optimization
A Zappone, M Di Renzo, M Debbah, TT Lam, X Qian
IEEE Vehicular Technology Magazine 14 (3), 60-69, 2019
System-level modeling and optimization of the energy efficiency in cellular networks—A stochastic geometry framework
M Di Renzo, A Zappone, TT Lam, M Debbah
IEEE Transactions on Wireless Communications 17 (4), 2539-2556, 2018
Secrecy performance analysis with relay selection methods under impact of co‐channel interference
TT Duy, TQ Duong, TL Thanh, VNQ Bao
IET Communications 9 (11), 1427-1435, 2015
Coverage probability and ergodic capacity of intelligent reflecting surface-enhanced communication systems
T Van Chien, LT Tu, S Chatzinotas, B Ottersten
IEEE Communications Letters 25 (1), 69-73, 2020
Outage probability analysis of IRS-assisted systems under spatially correlated channels
T Van Chien, AK Papazafeiropoulos, LT Tu, R Chopra, S Chatzinotas, ...
IEEE Wireless Communications Letters 10 (8), 1815-1819, 2021
On the performance of outage probability in underlay cognitive radio with imperfect CSI
TL Thanh, VNQ Bao, B An
2013 International Conference on Advanced Technologies for Communications …, 2013
System-level analysis of SWIPT MIMO cellular networks
TT Lam, M Di Renzo, JP Coon
IEEE Communications Letters 20 (10), 2011-2014, 2016
Secure communications in cognitive underlay networks over Nakagami-m channel
NP Nguyen, TL Thanh, TQ Duong, A Nallanathan
Physical Communication 25, 610-618, 2017
Cooperative spectrum-sharing with two-way AF relaying in the presence of direct communications
TL Thanh, TM Hoang
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems 5 …, 2018
Analysis of millimeter wave cellular networks with simultaneous wireless information and power transfer
LT Tu, M Di Renzo
2017 International Conference on Recent Advances in Signal Processing …, 2017
Performance analysis and optimization of the coverage probability in dual hop LoRa networks with different fading channels
TH Nguyen, WS Jung, LT Tu, T Van Chien, D Yoo, S Ro
IEEE Access 8, 107087-107102, 2020
A tractable closed-form expression of the coverage probability in Poisson cellular networks
M Di Renzo, TT Lam, A Zappone, M Debbah
IEEE Wireless Communications Letters 8 (1), 249-252, 2018
Capacity analysis of multi-hop decode-and-forward over Rician fading channels
TL Thanh, VNQ Bao, TT Duy
2014 international conference on computing, management and …, 2014
MIMO cellular networks with simultaneous wireless information and power transfer
TL Thanh, M Di Renzo, JP Coon
2016 IEEE 17th International Workshop on Signal Processing Advances in …, 2016
On the energy efficiency of heterogeneous cellular networks with renewable energy sources—A stochastic geometry framework
TT Lam, M Di Renzo
IEEE Transactions on Wireless Communications 19 (10), 6752-6770, 2020
A new closed-form expression of the coverage probability for different QoS in LoRa networks
LT Tu, A Bradai, Y Pousset
ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020
Spectral-energy efficiency Pareto front in cellular networks: A stochastic geometry framework
M Di Renzo, A Zappone, TT Lam, M Debbah
IEEE wireless communications letters 8 (2), 424-427, 2018
A hybrid spectrum sharing approach in cognitive radio networks
TT Duy, TL Thanh, VNQ Bao
2014 International Conference on Computing, Management and …, 2014
Energy Efficiency Analysis of LoRa Networks
LT Tu, A Bradai, Y Pousset, A Aravanis
A statistical estimation of 5G massive MIMO networks’ exposure using stochastic geometry in mmWave bands
M Al Hajj, S Wang, L Thanh Tu, S Azzi, J Wiart
Applied Sciences 10 (23), 8753, 2020
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