4. Publications
Journal Papers (Accepted/Appeared)
[J1] T. Le, M. Reisslein and S. Shetty, "Multi-Timescale Actor-Critic Learning for Computing Resource Management With Semi-Markov Renewal Process Mobility," in IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 1, pp. 452-461, Jan. 2024, doi: 10.1109/TITS.2023.3303953. (Impact Factor: 8.5)
[J2] Tan Le and Sachin Shetty, "Artificial intelligence-aided privacy preserving trustworthy computation and communication in 5G-based IoT networks", Ad Hoc Netw. 126, C , Mar 2022. (Impact Factor: 4.8)
[J3] Qun Wang, Le Thanh Tan, Rose Qingyang Hu and Yi Qian, “Hierarchical Energy Efficient Mobile Edge Computing in IoT Networks,” IEEE Internet of Things Journal, accepted, 2020. [pdf] (Impact Factor: 10.6)
[J4] Le Thanh Tan, Rose Qingyang Hu and Lajos Hanzo, “Heterogeneous Networks Relying on Full-Duplex Relays and Mobility-Aware Probabilistic Caching,” IEEE Transactions on Communications, vol. 67, no. 7, pp. 5037-5052, July 2019. [pdf] (Impact Factor: 8.3)
[J5] Le Thanh Tan, Rose Qingyang Hu and Lajos Hanzo, “Twin-Timescale Artificial Intelligence Aided Mobility-Aware Edge Caching and Computing in Vehicular Networks,” IEEE Transactions on Vehicular Technology (Special issue on Fog/Edge Computing for Autonomous and Connected Cars), vol. 68, no. 4, pp. 3086-3099, April 2019. (One among top 50 articles in IEEE Transactions on Vehicular Technology accessed through IEEE Xplore in January 2019 (Rank 18) and February 2019 (Rank 3)) (see capture 1, capture 2) [pdf] (Impact Factor: 6.8)
[J6] Le Thanh Tan and Rose Qingyang Hu, “Mobility-Aware Edge Caching and Computing Framework in Vehicle Networks: A Deep Reinforcement Learning,” IEEE Transactions on Vehicular Technology (Special issue on Connected Vehicles Series), vol. 67, no. 11, pp. 10190-10203, Nov. 2018. (One among top 50 articles in IEEE Transactions on Vehicular Technology accessed through IEEE Xplore in September 2018, October 2018, November 2018 (Rank 3), December 2018 (Rank 2), January 2019 (Rank 1) and February 2019 (Rank 1)) (see capture1, capture2, capture 3, capture 4, capture 5, capture 6) [pdf] (Impact Factor: 6.8)
[J7] Le Thanh Tan, Rose Qingyang Hu and Yi Qian, “D2D Communications in Heterogeneous Networks with Full-Duplex Relays and Edge Caching,” IEEE Transactions on Industrial Informatics (Special issue on Fog Computing for Industrial Applications), vol. 14, no. 10, pp. 4557-4567, Oct. 2018. (One among top 50 articles in IEEE Transactions on Industrial Informatics accessed through IEEE Xplore in November 2018 (Rank 8), December 2018 (Rank 5), January 2019 (Rank 2) and February 2019 (Rank 3)) (see capture 1, capture 2, capture 3, capture 4) (Impact Factor: 12.3)
[J8] L. T. Tan, and L. B. Le, "Joint Data Compression and MAC Protocol Design for Smartgrids with Renewable Energy", Wireless Communications and Mobile Computing, July 2016, DOI: 10.1002/wcm.2710. [pdf] (Impact Factor: 2.146)
[J9] L. T. Tan, and L. B. Le, "Design and Optimal Configuration of Full--Duplex MAC Protocol for Cognitive Radio Networks Considering Self-Interference", IEEE Access, vol. 3, pp. 2715-2729, Dec. 2015. Listed among Top Accessed Articles in IEEE Access in December 2015) [pdf] (Impact Factor: 3.9)
[J10] L. T. Tan, and L. B. Le, "Joint Cooperative Spectrum Sensing and MAC Protocol Design for Multi-channel Cognitive Radio Networks", EURASIP Journal on Wireless Communications and Networking, 2014 (101), June 2014. (Highly Accessed Article in EURASIP Journal) (Ranked #4 among the top 5 most highly accessed papers of all time in this journal, January-December 2015) [pdf] (Impact Factor: 2.6)
[J11] L. T. Tan, and L. B. Le, "Channel assignment with access contention resolution for cognitive radio networks", IEEE Transactions on Vehicular Technology, vol. 61, no. 6, pp. 2808-2823, 2012. [pdf] (Impact Factor: 6.8)
[J12] L. T. Tan, and L. B. Le, “Distributed MAC Protocol for Cognitive Radio Networks: Design, Analysis,and Optimization,” IEEE Transactions on Vehicular Technology, vol. 60, no. 8, pp. 3990-4003, 2011. [pdf] (Impact Factor: 6.8)
[J13] Le Thanh Tan and Hyung Yun Kong, “Group Projected Barzilai-Borwein Gradient Approaches Applied to OFDM Channel Estimation,” IEICE Transactions on Communications, 2011 (conditionally accepted). (*)
[J14] Le Thanh Tan and Hyung Yun Kong, “Enhancing Performance of a Spectrum Sensing Technique Based Information Theoretic Criteria,” International Journal of Electronics and Communications (AEU) (conditionally accepted), 2011. (*)
[J15] Ha Nguyen Vu, Le Thanh Tan and Hyung Yun Kong, “Capacity Performance Analysis for Decode-and-Forward OFDM Dual-Hop System”, IEICE Transactions on Communications, Vol.E93-B, No.9, pp.2477-2480, Sep. 2010. [pdf] (Impact Factor: 1.09)
[J16] Le Thanh Tan, Jin Hee Lee and Hyung Yun Kong, “Primary User Detection using a Generalized Selection Combining over Rayleigh Fading Channel”, International Journal of Internet, Broadcasting and Communication, vol. 2, no. 2, 2010.
[J17] Le Thanh Tan, Ha Nguyen Vu and Hyung Yun Kong, “Resource Allocation for Amplify-and-Forward Cooperative OFDM System,” International Journal of Internet, Broadcasting and Communication, vol. 2, no. 1, 2010.
Conference Papers(Accepted/Appeared)
[C1] Ferdous Pervej, Le Thanh Tan and Rose Qingyang Hu, “Artificial Intelligence Assisted Collaborative Edge Caching in Modern Small Cell Networks,” 2020 IEEE Global Communications Conference (IEEE GLOBECOM 2020), accepted 2020.
[C2] Ferdous Pervej, Le Thanh Tan and Rose Qingyang Hu, “User Preference Learning-Aided Collaborative Edge Caching for Small Cell Networks,” 2020 IEEE Global Communications Conference (IEEE GLOBECOM 2020), accepted 2020.
[C3] Abrar Zahin, Le Thanh Tan and Rose Qingyang Hu, “A Machine Learning Based Framework for the Smart Healthcare Monitoring,” 2020 Intermountain Engineering, Technology and Computing (IETC), Orem, Utah, USA, Sept. 2020.
[C4] Abrar Zahin, Le Thanh Tan and Rose Qingyang Hu, “Sensor-based Human Activity Recognition for Smart Healthcare: A Semi-supervised Machine Learning,” International Conference on Artificial Intelligence for Communications and Networks, Harbin, China, May 25-27, 2019. [pdf]
[C5] Qun Wang, Le Thanh Tan, Rose Qingyang Hu and Geng Wu, “Hierarchical Collaborative Cloud and Fog Computing in IoT Networks,” 2018 10th International Conference on Wireless Communications and Signal Processing (WCSP), Hangzhou, China, October 2018 (invited paper).
[C6] L. T. Tan, L. Ying and D. W. Bliss, ``Power Control and Relay Selection in Full-Duplex Cognitive Relay Networks: Coherent versus Non-coherent Scenarios,'' in The 51st Annual Conference on Information Systems and Sciences 2017 (IEEE CISS 2017), Baltimore, Maryland, USA, March 22-24, 2017.
[C7] L. T. Tan and L. B. Le, ``Multi-Channel MAC Protocol for Full-Duplex Cognitive Radio Networks with Optimized Access Control and Load Balancing,'' in 2016 IEEE International Conference on Communications (IEEE ICC 2016), Kuala Lumpur, Malaysia, May, 2016. [pdf]
[C8] L. T. Tan and L. B. Le, ``Distributed MAC Protocol Design for Full-Duplex Cognitive Radio Networks,'' in 2015 IEEE Global Communications Conference (IEEE GLOBECOM 2015), San Diego, CA, USA, December, 2015. [pdf]
[C9] L. T. Tan and L. B. Le, ``Compressed Sensing Based Data Processing and MAC Protocol Design for Smartgrids,'' in 2015 IEEE Wireless Communication and Networking Conference (IEEE WCNC 2015), New Orleans, LA USA, 9 - 12 March 2015. [pdf][slides]
[C10] L. T. Tan and L. B. Le, ``General Analytical Framework for Cooperative Sensing and Access Trade-off Optimization,'' in 2013 IEEE Wireless Communication and Networking Conference (IEEE WCNC 2013), Shanghai, China, pp. 1697-1702, April, 2013. [pdf]
[C11] L. T. Tan and L. B. Le, ``Fair Channel Allocation and Access Design for Cognitive Ad Hoc Networks,'' in 2012 IEEE Global Communications Conference (IEEE GLOBECOM 2012), Anaheim, California, USA, pp. 1162-1167, December, 2012. [pdf] (Acceptance rate: ca. 37%)
[C12] L. T. Tan and L. B. Le, “Channel Assignment for Throughput Maximization in Cognitive Radio Networks,” in 2012 IEEE Wireless Communications and Networking Conference (IEEE WCNC 2012), Paris, France, pp. 1427-1431, April, 2012. [pdf]
[C13] L. T. Tan and H. Y. Kong, “A Novel and Efficient Mixed-Signal Compressed Sensing for Wide-BandCognitive Radio,” in Proc. of the 2010 International Forum on Strategic Technologies (IFOST 2010), Ulsan, Korea, pp. 27-32, Oct. 2010. [pdf]
[C14] Trung Q. Duong, T.-T. Le, and H.-J. Zepernick, “Performance of Cognitive Radio Networks with Maximal Ratio Combining over Correlated Rayleigh Fading,” in Proc. of International Conference on Communications and Electronics (ICCE’10), Nha Trang, Vietnam, pp. 65-69, Aug., 2010. [pdf]
[C15] T. Le Thanh, K. Hyung Yun and B. Vo Nguyen Quoc, “Projected Barzilai-Borwein Methods Applied to Distributed Compressive Spectrum Sensing,” in the 4th IEEE Symposia on New Frontiers in Dynamic Spectrum Access Networks (IEEE DySPAN 2010), Singapore, pp. 1-7, April 2010. [pdf] (Acceptance rate: ca. 34%)
[C16] Le Tien Thuong, Le Thanh Tan, Nguyen Duc Chi, “Neural Networks Applied to Prediction of Video Source Traffic,” in the 2004 International symposium on advanced science and engineering (ISASE 2004), Ho Chi Minh, Vietnam, May 2004.
Dissertations & Theses
Ph.D. Dissertation: “Medium Access Control for Dynamic Spectrum Sharing in Cognitive Radio Networks”, [slides] [summary] [full version]
M.Eng. Thesis: “Neural Networks applied to Prediction of MPEG Coded Video Source Traffic”
B.Eng. Thesis: “Using Neural Networks and Wavelets for Noise Suppression in Satellite Communication System”
Technical Reports
[TR1] Le Thanh Tan, Rose Qingyang Hu and Yi Qian, “D2D Communications in Heterogeneous Networks with Full-Duplex Relays and Edge Caching,” Technical report, 2018
[TR2] Le Thanh Tan, Rose Qingyang Hu and Lajos Hanzo, “Heterogeneous Networks Relying on Full-Duplex Relays and Mobility-Aware Probabilistic Caching,” Technical report, 2018
[TR3] Le Thanh Tan and Rose Qingyang Hu, “Mobility-Aware Edge Caching and Computing Framework in Vehicle Networks: A Deep Reinforcement Learning,” Technical report, 2018
[TR4] Le Thanh Tan, Rose Qingyang Hu and Lajos Hanzo, “Twin-Timescale Artificial Intelligence Aided Mobility-Aware Edge Caching and Computing Improves the Outage vs Cost Trade-off in Vehicular Networks,” Technical report, 2018
[TR5] Le Thanh Tan, Lei Ying and Daniel W. Bliss, “Dynamic Optimal Power Allocation with Multi-Relay Selection for Full–Duplex Cognitive Relay Networks,” Technical report, 2017.
[TR6] Le Thanh Tan, Lei Ying and Daniel W. Bliss, “Power Allocation for Full-Duplex Relay Selection in Underlay Cognitive Radio Networks: Coherent versus Non-Coherent Scenarios,” Technical report, 2017. [pdf]
[TR7] L. T. Tan, L. Ying and D. W. Bliss, ''Power Control and Relay Selection in Full-Duplex Cognitive Relay Networks: Coherent versus Non-coherent Scenarios,'' Technical report, 2017. [pdf] (supplement to CISS 2017 paper).
[TR8] L. T. Tan and L. B. Le, “Multi-Channel MAC Protocol for Full-Duplex Cognitive Radio Networks with Optimized Access Control and Load Balancing”. Technical report, 2015. [pdf] (supplement to ICC2016 paper).
[TR9] L. T. Tan and L. B. Le, “Distributed MAC Protocol Design for Full-Duplex Cognitive Radio Networks”. Technical report, 2015. [pdf] (supplement to Globecom2015 paper).
[TR10] L. T. Tan and L. B. Le, “Compressed Sensing Based Data Processing and MAC Protocol Design for Smartgrids”. Technical report, 2015. [pdf] (supplement to WCNC2015 paper).
[TR11] L. T. Tan and L. B. Le, “Fair channel allocation and access design for cognitive ad hoc networks”. Technical report, 2012. [pdf] (supplement to Globecom2012 paper).
Misc.
Tan Le Thanh (2020) Example of Deep Reinforcement Learning Framework of Edge Computing using Python. [code][rar][note]
Tan Le Thanh (2011) Course Report: Simulation of A Communications System Using Matlab. [pdf] [code]
Tan Le Thanh (2011) Course Report: MAC Protocol for Cognitive Radio Networks, 1-10. [pdf]
(*) Decline to submit the revised version due to my personal reasons.