Publications

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Journals

  1. T. V. Luong, N. Shlezinger, C. Xu, T. M. Hoang, Y. C. Eldar, and L. Hanzo, “Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink,” IEEE Trans. Veh. Technol., July 2022. (Accepted)

  2. V.-D. Ngo, T. V. Luong, N. C. Luong, M. X. Trang, M.-T. Le, T. T. H Le, and X.-N. Tran, “Enhancing Diversity of OFDM with Joint Spread Spectrum and Subcarrier Index Modulations,” Wireless Networks, July 2022. (Accepted)

  3. T. T. V. Nguyen, N. C. Luong, F. Shaohan, H. T. Nguyen, K. Zhu, T. V. Luong, and D. Niyato, “Dynamic Network Service Selection in Intelligent Reflecting Surface-Enabled Wireless Systems: Game Theory Approaches,” IEEE Trans. Wireless Commun., Jan. 2022. (To appear)

  4. C. Xu, T. V. Luong, L. Xiang, S. Sugiura, R. G. Maunder, L.-L. Yang, and L. Hanzo, “Turbo Detection Aided Autoencoder for Multi-Carrier Wireless Systems: Integrating Deep Learning into Channel Coded Systems,” IEEE Trans. Cogn. Commun. Netw., vol. 8, no. 2, pp. 600-614, June 2022.

  5. T. M. Hoang, T. Van Chien, T. V. Luong, S. Chatzinotas, B. Ottersten and L. Hanzo, “Detection of Spoofing Attacks in Aeronautical Ad-hoc Networks Using Deep Autoencoders,” IEEE Trans. Inf. Forensics Security, vol. 17, pp. 1010-1023, 2022.

  6. X. Zhang, T. V. Luong, P. Petropoulos, and L. Hanzo, “Machine-Learning-Aided Optical OFDM for Intensity Modulated Direct Detection,” Journal of Lightwave Technology, vol. 40, no. 8, pp. 2357-2369, April 2022.

  7. T. M. Hoang, T. V. Luong, D. Liu, J. Zhang, and L. Hanzo, “Deep Learning Aided Physical-Layer Security: The Security versus Reliability Trade-off,” IEEE Trans. Cogn. Commun. Netw., vol. 8, no. 2, pp. 442-453, June 2022.

  8. L. Xiang, C. Xu, X. Zhang, T. V. Luong, R. G. Maunder, L.-L. Yang, and L. Hanzo,, “Unity-Rate Coding Improves the Iterative Detection Convergence of Autoencoder-Aided Communication Systems,” IEEE Trans. Veh. Technol., vol. 71, no. 5, pp. 5037-5047, May 2022.

  9. T. M. Hoang, D. Liu, T. V. Luong, and L. Hanzo, “RIS-aided AANETs: Security Maximization Relying on Unsupervised Projection-based Neural Networks,” IEEE Trans. Veh. Technol, vol. 71, no. 2, pp. 2214-2219, Feb. 2022.

  10. T. V. Luong, X. Zhang, L. Xiang, T. M. Hoang, C. Xu, P. Petropoulos, and L. Hanzo, “Deep Learning-Aided Optical IM/DD OFDM Approaches the Throughput of RF-OFDM,” IEEE J. Sel. Areas Commun., vol. 40, no. 1, pp. 212-226, Jan. 2022.

  11. T. V. Luong, Y. Ko, M. Matthaiou, N. A. Vien, M.-T. Le and V.-D. Ngo, “Deep Learning-aided Multicarrier Systems,” IEEE Trans. Wireless Commun., vol. 20, no. 3, pp. 2109-2119, 2021.

  12. L. Xiang, Y. Liu, T. V. Luong, R. G. Maunder, L. -L. Yang and L. Hanzo, “Deep-Learning-Aided Joint Channel Estimation and Data Detection for Spatial Modulation,” IEEE Access, vol. 8, pp. 191910-191919, 2020.

  13. T. V. Luong, Y. Ko, M. Matthaiou, N. A. Vien and H. Q. Ngo, “Deep energy autoencoder for noncoherent multicarrier MU-SIMO systems,” IEEE Trans. Wireless Commun., vol. 19, no. 6, pp. 3952-3962, June 2020.

  14. T. V. Luong, Y. Ko, N. A. Vien, D. H. N. Nguyen, and M. Matthaiou, “Deep Learning-Based Detector for OFDM-IM,” IEEE Wireless Commun. Lett., vol. 8, no. 4, pp. 1159-1162, Aug. 2019.

  15. T. V. Luong and Y. Ko, “Spread OFDM-IM With Precoding Matrix and Low-Complexity Detection Designs,” IEEE Trans. Veh. Technol., vol. 67, no. 12, pp. 11 619–11 626, Dec. 2018.

  16. T. V. Luong and Y. Ko, “The BER Analysis of MRC-Aided Greedy Detection for OFDM-IM in Presence of Uncertain CSI,” IEEE Wireless Commun. Lett., vol. 7, no. 4, pp. 566-569, Aug 2018.

  17. T. V. Luong, Y. Ko and J. Choi, “Repeated MCIK-OFDM With Enhanced Transmit Diversity Under CSI Uncertainty,” IEEE Trans. Wireless Commun., vol. 17, no. 6, pp. 4079–4088, June 2018.

  18. T. V. Luong and Y. Ko, “Impact of CSI Uncertainty on MCIK-OFDM: Tight Closed-Form Symbol Error Probability Analysis,” IEEE Trans. Veh. Technol., vol. 67, no. 2, pp. 1272-1279, Feb 2018.

  19. T. V. Luong and Y. Ko, “A Tight Bound on BER of MCIK-OFDM With Greedy Detection and Imperfect CSI,” IEEE Commun. Lett., vol. 21, no. 12, pp. 2594-2597, Dec 2017.

Conferences

  1. T.-C. Vuong, H. Tran, M. X. Trang, V.-D. Ngo, and T. V. Luong, “A Comparison of Feature Selection and Feature Extraction in Network Intrusion Detection Systems,” in Proc. APSIPA, Nov. 2022.

  2. D.-Y. Hoang, T.-H. Nguyen, V.-D. Ngo, T. T. Nguyen, N. C, Luong, and T. V. Luong, “Deep Learning-Based Signal Detection for Dual-Mode Index Modulation 3D-OFDM,” in Proc. APSIPA, Nov. 2022.

  3. T. Gian, V.-D. Ngo, T.-H. Nguyen, T. T. Nguyen, and T. V. Luong, “Deep Neural Network-Based Detector for Single-Carrier Index Modulation NOMA,” in Proc. APSIPA, Nov. 2022.

  4. T. V. Luong, Y. Ko, V. D. Ngo, M. T. Le, H. T. Le, and X. N. Tran, “Enhanced spread spectrum OFDM-IM with rotated Zadoff-Chu sequences,” in Proc. 5th IEEE NICS, Nov. 2018.

  5. T. V. Luong and Y. Ko, “Impact of oppotunistic transmission on MCIKOFDM: Diversity and coding gains,” in Proc. 4th EAI INISCOM, Aug 2018.

  6. T. V. Luong and Y. Ko, “Precoding for spread OFDM-IM,” in Proc. IEEE VTC Spring, June 2018.

  7. T. V. Luong and Y. Ko, “A closed-form symbol error probability for MCIK-OFDM with frequency diversity,” in Proc. IEEE SPAWC, July 2017.

  8. T. V. Luong and Y. Ko, “Symbol error outage performance analysis of MCIK-OFDM over complex TWDP fading,” in Proc. Eur. Wireless, May 2017.

  9. T. V. Luong, M. T. Le, H. A. Mai, X. N. Tran and V. D. Ngo, “New Upper Bound for Space-Time Block Coded Spatial Modulation,” in Proc. IEEE PIMRC, Sept 2015.

  10. T. V. Luong, M. T. Le, D. Nguyen, X. N. Tran, and V. D. Ngo, “New Upper Bound for High-rate Spatial Modulation using QAM Modulation,” in Proc. IEEE ATC, Oct 2015