Thien Van Luong

Orcid: 0000-0002-4661-4900

According to our database1, Thien Van Luong authored at least 28 papers between 2017 and 2024.

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Bibliography

2024
Machine learning-based intrusion detection: feature selection versus feature extraction.
Clust. Comput., June, 2024

2023
Generalized BER of MCIK-OFDM with imperfect CSI: selection combining GD versus ML receivers.
Wirel. Networks, February, 2023

Rate-Splitting Multiple Access for Control and Command of Multi-UAV Communication with Finite Blocklength.
Proceedings of the 12th International Conference on Control, 2023

After-Fatigue Condition: A Novel Analysis Based on Surface EMG Signals.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

Transformer-Based Deep Learning Detector for Dual-Mode Index Modulation 3D-OFDM.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022
Enhancing diversity of OFDM with joint spread spectrum and subcarrier index modulations.
Wirel. Networks, 2022

Dynamic Network Service Selection in Intelligent Reflecting Surface-Enabled Wireless Systems: Game Theory Approaches.
IEEE Trans. Wirel. Commun., 2022

Unity-Rate Coding Improves the Iterative Detection Convergence of Autoencoder-Aided Communication Systems.
IEEE Trans. Veh. Technol., 2022

Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink.
IEEE Trans. Veh. Technol., 2022

RIS-Aided AANETs: Security Maximization Relying on Unsupervised Projection-Based Neural Networks.
IEEE Trans. Veh. Technol., 2022

Detection of Spoofing Attacks in Aeronautical Ad-Hoc Networks Using Deep Autoencoders.
IEEE Trans. Inf. Forensics Secur., 2022

Turbo Detection Aided Autoencoder for Multicarrier Wireless Systems: Integrating Deep Learning Into Channel Coded Systems.
IEEE Trans. Cogn. Commun. Netw., 2022

Deep Learning Aided Physical-Layer Security: The Security Versus Reliability Trade-Off.
IEEE Trans. Cogn. Commun. Netw., 2022

Deep Learning-Aided Optical IM/DD OFDM Approaches the Throughput of RF-OFDM.
IEEE J. Sel. Areas Commun., 2022

Deep Neural Network-Based Detector for Single-Carrier Index Modulation NOMA.
CoRR, 2022

Deep Learning-Based Signal Detection for Dual-Mode Index Modulation 3D-OFDM.
CoRR, 2022

2021
Deep Learning-Aided Multicarrier Systems.
IEEE Trans. Wirel. Commun., 2021

2020
Deep Energy Autoencoder for Noncoherent Multicarrier MU-SIMO Systems.
IEEE Trans. Wirel. Commun., 2020

Deep-Learning-Aided Joint Channel Estimation and Data Detection for Spatial Modulation.
IEEE Access, 2020

2019
Deep Learning-Based Detector for OFDM-IM.
IEEE Wirel. Commun. Lett., 2019

2018
The BER Analysis of MRC-Aided Greedy Detection for OFDM-IM in Presence of Uncertain CSI.
IEEE Wirel. Commun. Lett., 2018

Repeated MCIK-OFDM With Enhanced Transmit Diversity Under CSI Uncertainty.
IEEE Trans. Wirel. Commun., 2018

Spread OFDM-IM With Precoding Matrix and Low-Complexity Detection Designs.
IEEE Trans. Veh. Technol., 2018

Impact of CSI Uncertainty on MCIK-OFDM: Tight Closed-Form Symbol Error Probability Analysis.
IEEE Trans. Veh. Technol., 2018

Precoding for Spread OFDM IM.
Proceedings of the 87th IEEE Vehicular Technology Conference, 2018

Impact of Opportunistic Transmission on MCIK-OFDM: Diversity and Coding Gains.
Proceedings of the Industrial Networks and Intelligent Systems, 2018

2017
A Tight Bound on BER of MCIK-OFDM With Greedy Detection and Imperfect CSI.
IEEE Commun. Lett., 2017

A closed-form symbol error probability for MCIK-OFDM with frequency diversity.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017


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