Publications

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Research Profiles: Please check my Google Scholar and ResearchGate for more updated publications.

Books

  1. C. de Alwis, Q.-V. Pham, and M. Liyanage, 6G Frontiers: Towards Future Wireless Systems, Wiley-IEEE Press, Oct. 2022.

Book Chapters

  1. T. R. Gadekallu, R. Chengoden, N. Victor, T. Huynh-The, P. K. R. Maddikunta, Q.-V. Pham, and P. Hegde, “Blockchain for the Metaverse: State-of-the-Art and Applications,” in Metaverse Communication and Computing Networks: Applications, Technologies, and Approaches, Wiley-IEEE Press, 2023.

  2. T. Huynh-The, Q.-V. Pham, X.-Q. Pham, T. Do-Duy, and T. R. Gadekallu, “AI and Computer Vision Technologies for Metaverse,” in Metaverse Communication and Computing Networks: Applications, Technologies, and Approaches, Wiley-IEEE Press, 2023.

  3. Q.-V. Pham, T. Huynh-The, M. Zeng, Z. Yang, Z. Ding, and W.-J. Hwang, “The Emergence of Aerial Computing: Applications and Challenges,” in 6G Wireless: The Communication Paradigm Beyond 2030, CRC Press, 2022.

  4. M. Zeng, E. Bedeer, X. Li, Q.-V. Pham, O. A. Dobre, P. Fortier, and L. A. Rusch, “IRS-Empowered Wireless Communications: State-of-the-Art, Key Techniques, and Open Issues,” in 6G Wireless: The Communication Paradigm Beyond 2030, CRC Press, 2022.

  5. Z. Yang, Q.-V. Pham, C. Huang, Q. Yang, T. Guo, Y. Xu, and Z. Zhang, “Machine Learning for UAV Communication-Assisted Computing Networks,” in Secure and Digitalized Future Mobility: Shaping the Ground and Air Vehicles Cooperation, CRC Press, 2022.

  6. Q.-V. Pham, D. C. Nguyen, T. Huynh-The, W.-J. Hwang, and P. N. Pathirana, “Artificial Intelligence and Big Data for COVID-19 and Social Distancing,” in Enabling Technologies for Social Distancing: Fundamentals, concepts and solutions, IET Digital Library, 2022.

  7. Dinh C. Nguyen, Q.-V. Pham, M. Ding, P. N. Pathirana, and A. Seneviratne, “Security and Privacy and Blockchain Applications in COVID-19 Detection and Social Distancing,” in Enabling Technologies for Social Distancing: Fundamentals, concepts and solutions, IET Digital Library, 2022.

  8. N.-N. Dao, N.-T. Dinh, Q.-V. Pham, T. V. Phan, S. Cho, and T. Braun, “Vulnerabilities in Fog/Edge Computing from Architectural Perspectives,” in Fog/Edge Computing For Security, Privacy, and Applications, Springer, 2021.

Preprints

  1. Alishahi, P. Fortier, M. Zeng, T. Huynh-The, and Q.-V. Pham, “Computation Rate Maximization for STAR-RIS Assisted Wireless Powered Mobile Edge Computing Network: TDMA or NOMA?,” under review, IEEE Internet of Things Journal.

  2. M.-D. Nguyen, Q.-V. Do, Z. Yang, Q.-V. Pham, and W.-J. Hwang, “Distortion Resilience for Goal-Oriented Semantic Communication,” under review, IEEE Transactions on Mobile Computing.

  3. T.-T. Dao, Q.-V. Pham, and W.-J. Hwang, “DTNet: A Dual-Stream Transformer Model for Short-Time Modulation Classification,” under review, IEEE Transactions on Vehicular Technology.

  4. Z. Zhao, Z. Yang, X. Gan, Q.-V. Pham, C. Huang, W. Xu, and Z. Zhang, “A Joint Communication and Computation Design for Semantic Wireless Communication with Probability Graph,” under review, Journal of the Franklin Institute, 2023.

  5. B. Zhang, N. V. Huynh, H. T. Dinh, D. N. Nguyen, and Q.-V. Pham, “DDPG-E2E: A Novel Policy Gradient Approach for End-to-End Communication Systems,” under review, IEEE Transactions on Cognitive Communications and Networking.

  6. T.-H. Vu, D. B. da Costa, S. Kim, and Q.-V. Pham, “Downlink Multiuser RSMA Networks: A General Analytical Framework for the Error Rate Performance,” under review, IEEE Transactions on Wireless Communications.

  7. T.-H. Vu, M. Zeng, S. Kim, H. V. Poor, and Q.-V. Pham, “Short-Packet Communications: State-of-the-art and Recent Advances,” under review, IEEE Wireless Communications.

  8. K. Do, M.-D. Nguyen, T. H. Nguyen, L. Tran-Thanh, and Q.-V. Pham, “Revisiting LARS for Large Batch Training Generalization of Neural Networks,” submitted, International Conference on Machine Learning (ICML), Vienna Austria, 2024.

  9. O. Aouedi, T.-H. Vu, A. Alessio, D. C. Nguyen, and K. Piamrat, G. Marchetto, and Q.-V. Pham, “Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions,” under revision, IEEE Communications Surveys & Tutorials.

  10. N.-M. Luu, M.-D. Nguyen, E. B. Mohamed, V.-D. Nguyen, D. T. Hoang, Diep N. Nguyen, and Q.-V. Pham, “Sample-Driven Federated Learning for Energy-Efficient and Real-Time IoT Sensing,” under review, IEEE Transactions on Mobile Computing.

  11. P. Boopathy, N. Deepa, N. Victor, T. R. Gadekallu, P. K. R. Maddikunta, G. Yenduri, W. Wang, Q.-V. Pham, T. Huynh-The, and M. Liyanage, “Metaverse for Industry 5.0 in NextG Communications: Potential Applications and Future Challenges,” under revision, IEEE Transactions on Consumer Electronics.

  12. M. Le, T. Huynh-The, T. Do-Duy, T.-H. Vu, W.-J. Hwang, and Q.-V. Pham, “Applications of Distributed Machine Learning for the Internet-of-Things: A Comprehensive Survey,” under revision, IEEE Communications Surveys & Tutorials.

  13. M.-D. Nguyen, Q.-V. Pham, H. T. Dinh, L. Tran-Thanh, D. N. Nguyen, and W.-J. Hwang, “Label-driven Federated Learning,” under review, IEEE Transactions on Parallel and Distributed Systems.

  14. M. Le, Q. V. Do, Z. Han, and W.-J. Hwang, and Q.-V. Pham, “Resource Allocation in THz-NOMA-enabled HAP Systems: A Deep Reinforcement Learning Approach,” under revision, IEEE Transactions on Consumer Electronics.

  15. Q. V. Do, Q.-V. Pham, Z. Yang, and W.-J. Hwang, “Learning-Based QoE Optimization for Green Edge Computing Networks with Aerial Servers,” under review, IEEE Transactions on Green Communications and Networking.

2024 and Early Access

  1. T. Huynh-The, N. C. Luong, H. Phan, D. B. da Costa, and Q.-V. Pham, “Improved Waveform Classification for Integrated Radar-Communication 6G Systems via Convolutional Neural Networks,” IEEE Transactions on Vehicular Technology, early access.

  2. T.-H. Vu, Q.-V. Pham, T.-T. Nguyen, D. B. da Costa, and S. Kim, “Enhancing RIS-Aided Two-Way Full-Duplex Communication with Non-Orthogonal Multiple Access,” IEEE Internet of Things Journal, early access.

  3. M. Huang, F. Gong, G. Li, N. Zhang, and Q.-V. Pham, “Secure Precoding for Satellite NOMA-Aided Integrated Sensing and Communication,” IEEE Internet of Things Journal, early access.

  4. M. Alishahi, P. Fortier, M. Zeng, Q.-V. Pham, and X. Li, “Energy Minimization for IRS-aided Wireless Powered Federated Learning Networks with NOMA,” IEEE Internet of Things Journal, early access.

  5. N. C. Luong, T. Huynh-The, V. D. Nguyen, D. W. K. Ng, S. Chatzinotas, D. Niyato, and Q.-V. Pham, “Incentive Mechanism and Semantic Communication for Edge Computing-assisted Metaverse,” IEEE Network, early access.

  6. M. Le, H. T. Dinh, D. N. Nguyen, Q.-V. Pham, and W.-J. Hwang, “Wirelessly Powered Federated Learning Networks: Joint Power Transfer, Data Sensing, Model Training, and Resource Allocation,” IEEE Internet of Things Journal, early access.

  7. T.-H. Vu, Q.-V. Pham, and S. Kim, “THz-based Rate-Splitting Multiple-Access (RSMA): Is It Always Better Than NOMA?,” IEEE Transactions on Vehicular Technology, vol. 73, no. 3, pp. 4435-4440, Mar. 2024.

  8. Y. Ding, Z. Yang, Q.-V. Pham, Z. Zhang, and M. Shikh-Bahaei, “Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics,” IEEE Internet of Things Journal, vol. 11, no. 5, pp. 7447-7473, Mar. 2024.

  9. P. Boopathy, M. Liyanage, N. Deepa, M. Velavali, S. Reddy, P. K. R. Maddikunta, N. Khare, T. R. Gadekallu, W.-J. Hwang, and Q.-V. Pham, “Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey,” Computer Science Review, vol. 51, pp. 100617, Feb. 2024.

  10. T.-T. Dao, D.-I. Noh, Q.-V. Pham, M. Hasegawa, H. Sekiya, and W.-J. Hwang, “VT-MCNet: High-Accuracy Automatic Modulation Classification Model based on Vision Transformer,” IEEE Communications Letters, vol. 28, no. 1, pp. 98-102, Jan. 2024.

  11. L. N. T. Huynh, M. D. Hossain, Q.-V. Pham, Y. K. Tun, and E.-N. Huh, “A Block-structured Optimization Approach for Data Sensing and Computing in Vehicle-assisted Edge Computing Networks,” IEEE Sensors Journal, vol. 24, no. 1, pp. 952-961, Jan. 2024.

2023

  1. S. Pakravan, J.-Y. Chouinard, X. Li, M. Zeng, W. Hao, Q.-V. Pham, and O. A. Dobre, “Physical Layer Security for NOMA Systems: Requirements, Issues, and Recommendations,” IEEE Internet of Things Journal, vol. 10, no. 24, pp. 21721-21737, Dec. 2023.

  2. A. K. Bashir, N. Victor, S. Bhattacharya, T. Huynh-The, R. Chengoden, G. Yenduri, P. P. R. Maddikunta, Q.-V. Pham, T. R. Gadekallu, and M. Liyanage, “Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges and Future Directions,” IEEE Internet of Things Journal, vol. 10, no. 24, pp. 21873-21891, Dec. 2023.

  3. T.-H. Vu, Q.-V. Pham, D. B. da Costa, and S. Kim, “Rate-Splitting Multiple Access-Assisted THz-Based Short-Packet Communications,” IEEE Wireless Communications Letters, vol. 12, no. 12, pp. 2218-2222, Dec. 2023.

  4. M.-D. Nguyen, S.-M. Lee, Q.-V. Pham, H. T. Dinh, D. N. Nguyen, and W.-J. Hwang, “HCFL: A High Compression Approach for Communication-Efficient Federated Learning in Very Large Scale IoT Networks,” IEEE Transactions on Mobile Computing, vol. 22, no. 11, pp. 6495-6507, Nov. 2023. [Python Code]

  5. X. Zhu, H. Wang, Z. Yang, and Q.-V. Pham, “Time-Division Based Integrated Sensing, Communication, and Computing in Integrated Satellite-Terrestrial Networks,” Digital Signal Processing, vol. 143, pp. 104262, Nov. 2023.

  6. T.-H. Vu, T.-V. Nguyen, Q.-V. Pham, D. B. da Costa, and S. Kim, “STAR-RIS Enabled Short-Packet NOMA Systems,” IEEE Transactions on Vehicular Technology, vol. 72, no. 10, pp. 13764-13769, Oct. 2023

  7. N. H. Chu, D. N. Nguyen, H. T. Dinh, Q.-V. Pham, K. T. Phan, W.-J. Hwang, and E. Dutkiewicz, “AI-enabled mm-Waveform Configuration for Autonomous Vehicles with Integrated Communication and Sensing,” IEEE Internet of Things Journal, vol. 10, no. 19, pp. 16727-16743, Oct. 2023.

  8. A. Samanta, Q.-V. Pham, N.-N. Dao, A. Muthanna, and S. Cho, “mISO: Incentivizing Demand-Agnostic Microservices for Edge-Enabled IoT Networks,” IEEE Transactions on Services Computing, vol. 16, no. 5, pp. 3523-3536, Sept.-Oct. 2023.

  9. Y. M. Saputra, D. N. Nguyen, H. T. Dinh, Q.-V. Pham, E. Dutkiewicz, and W.-J. Hwang, “Federated Learning Framework with Straggling Mitigation and Privacy-Awareness for AI-based Mobile Application Services,” IEEE Transactions on Mobile Computing, vol. 22, no. 9, pp. 5296-5312, Sep. 2023.

  10. N. Iradukunda, Q.-V. Pham, Z. Ding, and W.-J. Hwang, “THz-Enabled UAV Communications using Non-Orthogonal Multiple Access,” IEEE Transactions on Vehicular Technology, vol. 72, no. 8, pp. 10977-10981, Aug. 2023.

  11. C. de Alwis, P. Kumar, Q.-V. Pham, K. Dev, A. Kalla, M. Liyanage, and W.-J. Hwang, “Towards 6G: Key Technological Directions,” ICT Express, vol. 9, no. 4, pp. 525-533, Aug. 2023.

  12. T.-H. Vu, T.-T. Nguyen, Q.-V. Pham, D. B. da Costa, and S. Kim, “A Novel Partial Decode-and-Amplify NOMA-Inspired Relaying Protocol for Uplink Short-Packet Communications,” IEEE Wireless Communications Letters, vol. 12, no. 7, pp. 1244-1248, Jul. 2023.

  13. T. Huynh-The, T. R. Gadekallu, W. Wang, G. Yenduri, P. Ranaweera, Q.-V. Pham, D. B. da Costa, and M. Liyanage, “Blockchain for the Metaverse: A Review,” Future Generation Computer Systems, vol. 143, pp. 401-419, Jun. 2023.

  14. T.-H. Vu, T.-V. Nguyen, Q.-V. Pham, D. B. da Costa, and S. Kim, “Short-Packet Communications in UAV-Based NOMA Systems under Imperfect CSI and SIC,” IEEE Transactions on Cognitive Communications and Networking, vol. 9, no. 2, pp. 463-478, Apr. 2023.

  15. Q.-V. Pham, M. Zeng, O. A. Dobre, Z. Ding, and L. Song, “Guest Editorial Special Issue on Aerial Computing for the Internet of Things (IoT),” IEEE Internet of Things Journal, vol. 10, no. 7, pp. 5623-5625, Apr. 2023.

  16. T.-H. Vu, T.-V. Nguyen, Q.-V. Pham, D. B. da Costa, and S. Kim, “Hybrid Long-and Short-Packet Based NOMA Systems with Joint Power Allocation and Beamforming Design,” IEEE Transactions on Vehicular Technology, vol. 72, no. 3, pp. 4079-4084, Mar. 2023.

  17. T. Huynh-The, T.-V. Nguyen, Q.-V. Pham, D. B. da Costa, K.-H. Kwon, and D.-S. Kim, “Efficient Convolutional Networks for Robust Automatic Modulation Classification in OFDM-Based Wireless Systems,” IEEE Systems Journals, vol. 17, no. 1, pp. 964-975, Mar. 2023. [MATLAB Code]

  18. W. Wang, F. H. Memon, Z. Lian, H. Xu, T. R. Gadekallu, Q.-V. Pham, K. Dev, and C. Su, “Secure-Enhanced Federated Learning for AI-Empowered Electric Vehicle Energy Prediction,” IEEE Consumer Electronics Magazine, vol. 12, no. 2, pp. 27-34, Mar. 2023.

  19. T. Huynh-The, Q.-V. Pham, X.-Q. Pham, T. T. Nguyen, Z. Han, and D.-S. Kim, “Artificial Intelligence for the Metaverse: A Survey,” Engineering Applications of Artificial Intelligence, vol. 117, pp. 105581, Jan. 2023.

2022 and Before

  1. H. Dang-Ngoc, D. N. Nguyen, K. Ho-Van, H. T. Dinh, E. Dutkiewicz, Q.-V. Pham, and W.-J. Hwang, “Secure Swarm UAV-assisted Communications with Cooperative Friendly Jamming,” IEEE Internet of Things Journal, vol. 9, no. 24, pp. 25596-25611, Dec. 2022.

  2. S. K. Jagatheesaperumal, Q.-V. Pham, R. Ruby, Z. Yang, C. Xu, and Z. Zhang, “Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions,” IEEE Open Journal of the Communications Society, vol. 3, pp. 2106-2136, Nov. 2022.

  3. P. K. R. Maddikunta, Q.-V. Pham, D. C. Nguyen, T. Huynh-The, O. Aouedi, G. Yenduri, S. Bhattacharya, and T. R. Gadekallu, “Incentive techniques for the Internet of Things: A survey,” Journal of Network and Computer Applications, vol. 206, pp. 103464, Oct. 2022.

  4. A. S. Sadiq, A. A. Dehkordi, S. Mirjalili, and Q.-V. Pham, “Nonlinear Marine Predator Algorithm: A Cost-effective Optimizer for Fair Power Allocation in NOMA-VLC-B5G Network,” Expert Systems with Applications, vol. 203, pp. 117395, Oct. 2022. [MATLAB Code]

  5. J. Jiang, F. Liu, W. W. Y. Ng, Q. Tang, W. Wang, and Q.-V. Pham, “Dynamic Incremental Ensemble Fuzzy Classifier for Data Streams in Green Internet of Things,” IEEE Transactions on Green Communications and Networking, vol. 6, no. 3, pp. 1316-1329, Sep. 2022.

  6. C. T. Nguyen, N. V. Huynh, N. H. Chu, Y. M. Saputra, H. T. Dinh, D. N. Nguyen, Q.-V. Pham, D. Niyato, E. Dutkiewicz, and W.-J. Hwang, “Transfer Learning for Wireless Networks: A Comprehensive Survey,” Proceedings of the IEEE, vol. 110, no. 8, pp. 1073-1115, Aug. 2022.

  7. G. Gür, A. Kalla, C. de Alwis, Q.-V. Pham, K.-H. Ngo, M. Liyanage, and P. Porambage, “Integration of ICN and MEC in 5G and Beyond Networks: Mutual Benefits, Use Cases, Challenges, Standardization, and Future Research,” IEEE Open Journal of the Communications Society, vol. 3, pp. 1382-1412, Aug. 2022.

  8. P. Boopalan, S. P. Ramu, Q.-V. Pham, K. Dev, S. Pandya, P. K. R. Maddikunta, T. R. Gadekallu, and T. Huynh-The, “Fusion of Federated Learning and Industrial Internet of Things: A Survey,” Computer Networks, vol. 212, pp. 109048, Jul. 2022.

  9. M. Liyanage, Q.-V. Pham, K. Dev, S. Bhattacharya, P. K. R. Maddikunta, T. R. Gadekallu, and G. Yenduri, “A Survey on Zero Touch Network and Service Management (ZSM) for 5G and Beyond Networks,” Journal of Network and Computer Applications, vol. 203, pp. 103362, Jul. 2022.

  10. Q.-V. Pham, R. Ruby, F. Fang, D. C. Nguyen, Z. Yang, M. Le, Z. Ding, and W.-J. Hwang, “Aerial Computing: A New Computing Paradigm, Applications, and Challenges,” IEEE Internet of Things Journal, vol. 9, no. 11, pp. 8339-8363, Jun. 2022.

  11. T. Huynh-The, T.-V. Nguyen, Q.-V. Pham, D. B. da Costa, and D.-S. Kim, “MIMO-OFDM Modulation Classification Using Three-Dimensional Convolutional Network,” IEEE Transactions on Vehicular Technology, vol. 71, no. 6, pp. 6738-6743, Jun. 2022.

  12. M. Le, Q.-V. Pham, H.-C. Kim, and W.-J. Hwang, “Enhanced Resource Allocation in D2D Communications with NOMA and Unlicensed Spectrum,” IEEE Systems Journal, vol. 16, no. 2, pp. 2856-2866, Jun. 2022.

  13. T. Huynh-The, Q.-V. Pham, T.-V. Nguyen, T. T. Nguyen, D. B. da Costa, and D.-S. Kim, “RanNet: Learning Residual-Attention Structure in CNNs for Automatic Modulation Classification,” IEEE Wireless Communications Letters, vol. 11, no. 6, pp. 1243-1247, Jun. 2022.

  14. N. Deepa, Q.-V. Pham, D. C. Nguyen, S. Bhattacharya, B. Prabadevi, T. R. Gadekallu, P. K. R. Maddikunta, F. Fang, and P. N. Pathirana, “A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions,” Future Generation Computer Systems, vol. 131, pp. 209-226, Jun. 2022.

  15. Q.-V. Pham, M. Zeng, T. Huynh-The, Z. Han, and W.-J. Hwang, “Aerial Access Networks for Federated Learning: Applications and Challenges,” IEEE Network, vol. 36, no. 3, pp. 159-166, May/Jun. 2022.

  16. S. A. Khowaja, K. Dev, P. Khuwaja, Q.-V. Pham, N. M. F. Qureshi, P. Bellavista, and M. Magarini, “IIFNet: A Fusion based Intelligent Service for Noisy Preamble Detection in 6G,” IEEE Network, vol. 36, no. 3, pp. 48-54, May/Jun. 2022.

  17. Q.-V. Pham, M. Le, T. Huynh-The, Z. Han, and W.-J. Hwang, “Energy-Efficient Federated Learning over UAV-enabled Wireless Powered Communications,” IEEE Transactions on Vehicular Technology, vol. 71, no. 5, pp. 4977-4990, May 2022. [MATLAB Code]

  18. T. Huynh-The, Q.-V. Pham, T.-V. Nguyen, D. B. da Costa, and D.-S. Kim, “RF-UAVNet: High-Performance Convolutional Network for RF-based Drone Surveillance Systems,” IEEE Access, vol. 10, pp. 49696-49707, May 2022. [MATLAB Code]

  19. M. Alazab, S. P. Ramu, P. Boopalan, P. K. R. Maddikunta, T. R. Gadekallu, and Q.-V. Pham, “Federated Learning for Cybersecurity: Concepts, Challenges and Future Directions,” IEEE Transactions on Industrial Informatics, vol. 18, no. 5, pp. 3501-3509, May 2022.

  20. H. Yang, R. Ruby, Q.-V. Pham, and K. Wu, “Aiding a Disaster Spot via Multi-UAV-based IoT Networks: Energy and Mission Completion Time-Aware Trajectory Optimization,” IEEE Internet of Things Journal, vol. 9, no. 8, pp. 5853-5867, Apr. 2022.

  21. R. Ruby, Q.-V. Pham, K. Wu, A. A. Heidari, H. Chen, and B. M. ElHalawany, “Enhancing Secrecy Performance of Cooperative NOMA-based IoT Networks via Multi-Antenna Aided Artificial Noise,” IEEE Internet of Things Journal, vol. 9, no. 7, pp. 5108-5127, Apr. 2022.

  22. S. P. Ramu, P. Boopalan, Q.-V. Pham, P. K. R. Maddikunta, T. Huynh-The, M. Alazab, T. T. Nguyen, and T. R. Gadekallu, “Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions,” Sustainable Cities and Society, vol. 79, pp. 103663, Apr. 2022.

  23. D. C. Nguyen, Q.-V. Pham, P. N. Pathirana, M. Ding, A. Seneviratne, J. Lin, O. A. Dobre, and W.-J. Hwang, “Federated Learning for Smart Healthcare: A Survey,” ACM Computing Surveys, vol. 55, no. 3, pp. 1-37, Apr. 2022.

  24. B. M. ElHalawany, A. A. A. El-Banna, Q. -V. Pham, K. Wu, and E. M. Mohamed, “Spectrum Sharing in Cognitive-Radio Inspired NOMA Systems under Imperfect SIC and Co-Channel Interference,” IEEE Systems Journal, vol. 16, no. 1, pp. 1540-1547, Mar. 2022.

  25. P. K. R. Maddikunta, Q.-V. Pham, B. Prabadevi, N. Deepa, K. Dev, T. R. Gadekallu, R. Ruby, and M. Liyanage, “Industry 5.0: A Survey on Enabling Technologies and Potential Applications,” Journal of Industrial Information Integration, vol. 26, pp. 100257, Mar. 2022.

  26. H. Ta, Q-V. Pham, K. Ho-Van, and S. W. Kim, “Covert communication with noise and channel uncertainties,” Wireless Networks, vol. 28, no. 1, pp. 161-172, Jan. 2022.

  27. T.-T. Dao, Q.-V. Pham, and W.-J. Hwang, “FastMDE: A Fast CNN Architecture for Monocular Depth Estimation at High Resolution,” IEEE Access, vol. 10, pp. 16111-16122, Jan. 2022.

  28. T. R. Gadekallu, Q.-V. Pham, D. C. Nguyen, P. K. R. Maddikunta, N. Deepa, B. Prabadevi, P. N. Pathirana, J. Zhao, and W.-J. Hwang, “Blockchain for Edge of Things: Applications, Opportunities, and Challenges,” IEEE Internet of Things Journal, vol. 9, no. 2, pp. 964-988, Jan. 2022.

  29. Q. V. Do, Q.-V. Pham, and W.-J. Hwang, “Deep Reinforcement Learning for Energy-Efficient Federated Learning in UAV-Enabled Wireless Powered Networks,” IEEE Communications Letters, vol. 26, no. 1, pp. 99-103, Jan. 2022.

  30. S. Ramasubbareddy, S. Ramasamy, K. S. Sahoo, R. L. Kumar, Q.-V. Pham, and N.-N. Dao, “CAVMS: Application-Aware Cloudlet Adaption and VM Selection Framework for Multi-Cloudlet Environment,” IEEE Systems Journal, vol. 15, no. 4, pp. 5098-5106, Dec. 2021.

  31. L. Nkenyereye, L. Nkenyereye, Q.-V. Pham, and J. S. Song, “Efficient RSU Selection Scheme for Fog-Based Vehicular Software-Defined Network,” IEEE Transactions on Vehicular Technology, vol. 70, no. 11, pp. 12126-12141, Nov. 2021.

  32. H. Han, J. Zhao, W. Zhai, Z. Xiong, D. Niyato, M. D. Renzo, Q.-V. Pham, W. Lu, and K.-Y. Lam, “Reconfigurable Intelligent Surface Aided Power Control for Physical-Layer Broadcasting,” IEEE Transactions on Communications, vol. 69, no. 11, pp. 7821-7836, Nov. 2021.

  33. T. Huynh-The, Q.-V. Pham, T.-V. Nguyen, T. T. Nguyen, R. Ruby, M. Zeng, and D.-S. Kim, “Automatic Modulation Classification: A Deep Architecture Survey,” IEEE Access, vol. 9, pp. 142950-142971, Oct. 2021.

  34. Q.-V. Pham, D. C. Nguyen, S. Mirjalili, H. T. Dinh, D. N. Nguyen, P. N. Pathirana, and W.-J. Hwang, “Swarm Intelligence for Next-Generation Networks: Recent Advances and Applications,” Journal of Network and Computer Applications, vol. 191, pp. 103141, Oct. 2021.

  35. T. Huynh-The, C.-H. Hua, V.-S. Doan, Q.-V. Pham, and D.-S. Kim, “Accurate Deep CNN-based Waveform Recognition for Intelligent Radar Systems,” IEEE Communications Letters, vol. 25, no. 9, pp. 2938-2942, Sep. 2021.

  36. D. C. Nguyen, M. Ding, Q.-V. Pham, P. N. Pathirana, L. B. Le, A. Seneviratne, J. Li, D. Niyato, and H. V. Poor, “Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges,” IEEE Internet of Things Journal, vol. 8, no. 16, pp. 12806-12825, Aug. 2021.

  37. P. K. R. Maddikunta, S. Hakak, M. Alazab, S. Bhattacharya, T. R. Gadekallu, W. Z. Khan, and Q.-V. Pham, “Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements and Challenges,” IEEE Sensors Journal, vol. 21, no. 6, pp. 17608-17619, Aug. 2021.

  38. T. Huynh-The, V.-S. Doan, C.-H. Hua, Q.-V. Pham, T.-V. Nguyen, and D.-S. Kim, “Accurate LPI Radar Waveform Recognition with CWD-TFA for Deep Convolutional Network,” IEEE Wireless Communications Letters, vol. 10, no. 8, pp. 1638-1642, Aug. 2021. [MATLAB Code]

  39. R. L. Kumar, Q.-V. Pham, F. Khan, M. J. Piran, K. Dev, “Blockchain for Securing Aerial Communications: Potentials, Solutions, and Research Directions,” Physical Communication, vol. 47, pp. 101390, Aug. 2021

  40. L. Nkenyereye, J. Y. Hwang, Q.-V. Pham, and J. S. Song, “Virtual IoT Service Slice Functions for Multi-Access Edge Computing Platform,” IEEE Internet of Things Journal, vol. 8, no. 14, pp. 11233-11248, Jul. 2021.

  41. Q.-V. Pham, N. T. Nguyen, T. Huynh-The, L. B. Le, K. Lee, and W.-J. Hwang, “Intelligent Radio Signal Processing: A Survey,” IEEE Access, vol. 9, pp. 83818-83850, Jun. 2021.

  42. B. Prabadevi, N. Deepa, Q.-V. Pham, D. C. Nguyen, P. K. R. Maddikunta, T. R. Gadekallu, P. N. Pathirana, and O. A. Dobre, “Toward Blockchain for Edge-of-Things: A New Paradigm, Opportunities, and Future Directions,” IEEE Internet of Things Magazine, vol. 4, no. 2, pp. 102-108, Jun. 2021.

  43. L. Nkenyereye, J. Y. Hwang, Q.-V. Pham, and J. S. Song, “MEIX: Evolving Multi-Access Edge Computing for Industrial Internet-of-Things Services,” IEEE Network, vol. 35, no. 3, pp. 147-153, May/Jun. 2021.

  44. M. Zeng, E. B. Mohamed, O. A. Dobre, P. Fortier, Q.-V. Pham, and W. Hao, “Energy-Efficient Resource Allocation for IRS-Assisted Multi-Antenna Uplink Systems,” IEEE Wireless Communications Letters, vol. 10, no. 6, pp. 1261-1265, Jun. 2021.

  45. Q.-V. Pham, N. Iradukunda, Nguyen H. Tran, W.-J. Hwang, and S.-W. Chung, “Joint Placement, Power Control, and Spectrum Allocation for UAV Wireless Backhaul Networks,” IEEE Networking Letters, vol. 3, no. 2, pp. 56-60, Jun. 2021.

  46. N.-N. Dao, Q.-V. Pham, N. H. Tu, T. T. Thanh, V. N. Q. Bao, D. S. Lakew, and S. Cho, “Survey on Aerial Radio Access Networks: Toward a Comprehensive 6G Access Infrastructure,” IEEE Communications Surveys & Tutorials, vol. 23, no. 2, pp. 1193-1225, Second Quarter 2021.

  47. Q.-V. Pham, M. Zeng, R. Ruby, T. Huynh-The, and W.-J. Hwang, “UAV Communications for Sustainable Federated Learning,” IEEE Transactions on Vehicular Technology, vol. 70, no. 4, pp. 3944-3948, Apr. 2021. [MATLAB Code]

  48. C. de Alwis, A. Kalla, Q.-V. Pham, P. Kumar, K. Dev, W.-J. Hwang, and M. Liyanage, “Survey on 6G Frontiers: Trends, Applications, Requirements, Technologies and Future Research,” IEEE Open Journal of the Communications Society, vol. 2, pp. 836-886, Apr. 2021.

  49. N.-N. Dao, Q.-V. Pham, D.-T. Do, S. Dustdar, “The Sky is the Edge—Toward Mobile Coverage from the Sky,” IEEE Internet Computing, vol. 25, no. 2, pp. 101-108, Mar.-Apr. 2021.

  50. N. Iradukunda, Q.-V. Pham, M. Zeng, H.-C. Kim, and W.-J. Hwang, “UAV-enabled Wireless Backhaul Networks using Non-Orthogonal Multiple Access,” IEEE Access, vol. 9, pp. 36689-36698, Feb. 2021.

  51. S. Bhattacharya, P. K. R. Maddikunta, Q.-V. Pham, T. R. Gadekallu, S. R. Krishnan S, C. L. Chowdhary, M. Alazab, and M. J. Piran, “Deep Learning and Medical Image Processing for Coronavirus (COVID-19) Pandemic: A Survey,” Sustainable Cities and Society, vol. 65, pp. 102589, Feb. 2021.

  52. F. Figueiredo, M. Facina, R. Ferreira, R. Ruby, Q.-V. Pham, and G. Fraidenraich, “Large Intelligent Surfaces with Discrete Set of Phase-Shifts Communicating Through Double-Rayleigh Fading Channels,” IEEE Access, vol. 9, pp. 20768-20787, Jan. 2021.

  53. L. N. T. Huynh, Q.-V. Pham, T. D. T. Nguyen, M. D. Hossain, Y.-R. Shin, and E.-N. Huh, “Joint Computational Offloading and Data-Content Caching in NOMA-MEC Networks,” IEEE Access, vol. 9, pp. 12943-12954, Jan. 2021.

  54. T.-T. Nguyen, V.-D. Nguyen, Q.-V. Pham, and J.-H. Lee, and Y.-H. Kim, “Resource Allocation for AF Relaying Wireless-powered Networks with Nonlinear Energy Harvester,” IEEE Communications Letters, vol. 25, no. 1, pp. 229-233, Jan. 2021.

  55. J. Tu, H. Chen, J. Liu, A. A. Heidari, X. Zhang, M. Wang, R. Ruby, and Q.-V. Pham, “Evolutionary Biogeography-based Whale Optimization Methods with Communication Structure: Towards Measuring the Balance,” Knowledge-based Systems, vol. 212, pp. 106642, Jan. 2021.

  56. M. J. Piran, Q.-V. Pham, S. M. R. Islam, S. Cho, B. Bae, D.-Y. Suh, and Z. Han, “Multimedia Communication over Cognitive Radio Networks from QoS/QoE Perspective: A Comprehensive Survey,” Journal of Network and Computer Applications, vol. 172, no. 10, pp. 102759, Dec. 2020.

  57. T.-T. Nguyen, Q.-V. Pham, V.-D. Nguyen, J.-H. Lee, and Y.-H. Kim, “Resource Allocation for Energy Efficiency in OFDMA-Enabled WPCN,” IEEE Wireless Communications Letters, vol. 9, no. 12, pp. 2049-2053, Dec. 2020.

  58. F. Fang, Y. Xu, Q.-V. Pham, and Z. Ding, “Energy-Efficient Design of IRS-NOMA Networks,” IEEE Transactions on Vehicular Technology, vol. 69, no. 11, pp. 14088-14092, Nov. 2020.

  59. Huong-Giang T. Pham, Q.-V. Pham, A. T. Pham, and C. T. Nguyen, “Joint Task Offloading and Resource Management in NOMA-based MEC Systems: A Swarm Intelligence Approach,” IEEE Access, vol. 8, pp. 190463-190474, Oct. 2020.

  60. Q.-V. Pham, T. Huynh-The, M. Alazab, J. Zhao, and W.-J. Hwang, “Sum-Rate Maximization for UAV-assisted Visible Light Communications using NOMA: Swarm Intelligence meets Machine Learning,” IEEE Internet of Things Journal, vol. 7, no. 10, pp. 10375-10387, Oct. 2020. [MATLAB Code]

  61. Q.-V. Pham, D. C. Nguyen, T. Huynh-The, W.-J. Hwang, and P. N. Pathirana, “Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts,” IEEE Access, vol. 8, pp. 130820 -130839, Jul. 2020.

  62. R. Vinayakumar, M. Alazab, S. Srinivasan, Q.-V. Pham, S. K. Padannayil, and K. Simran, “A Visualized Botnet Detection System based Deep Learning for the Internet of Things Networks of Smart Cities,” IEEE Transactions on Industry Applications, vol. 56, no. 4, pp. 4436-4456, Jul.-Aug. 2020.

  63. Q.-V. Pham, F. Fang, V. N. Ha, M. J. Piran, M. Le, L. B. Le, W.-J. Hwang, and Z. Ding, “A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art,” IEEE Access, vol. 8, pp. 116974-117017, Jun. 2020.

  64. N. Maurice, Q.-V. Pham, and W.-J. Hwang, “Online Computation Offloading in NOMA-based Multi-Access Edge Computing: A Deep Reinforcement Learning Approach,” IEEE Access, vol. 8, pp. 99098-99109, May 2020.

  65. Q.-V. Pham, S. Mirjalili, N. Kumar, M. Alazab, and W.-J. Hwang, “Whale Optimization Algorithm with Applications to Resource Allocation in Wireless Networks,” IEEE Transactions on Vehicular Technology, vol. 69, no. 4, pp. 4285-4297, Apr. 2020. [MATLAB Code]

  66. T. Huynh-The, C.-H. Hua, Q.-V. Pham, and D.-S. Kim, “MCNet: An Efficient CNN Architecture for Robust Automatic Modulation Classification,” IEEE Communications Letters, vol. 24, no. 4, pp. 811-815, Apr. 2020. [MATLAB Code]

  67. Q.-V. Pham, Hoang T. Nguyen, Z. Han, and W.-J. Hwang, “Coalitional Games for Computation Offloading in NOMA-Enabled Multi-Access Edge Computing,” IEEE Transactions on Vehicular Technology, vol. 69, no. 2, pp. 1982-1993, Feb. 2020.

  68. G. G. Girmay, Q.-V. Pham, and W.-J. Hwang, “Joint Channel and Power Allocation for D2D on Licensed and Unlicensed Band,” IEEE Access, vol. 7, pp. 22196-22205, Feb. 2019.

  69. Q.-V. Pham, L. B. Le, S.-H. Chung, and W.-J. Hwang, “Mobile Edge Computing with Wireless Backhaul: Joint Task Offloading and Computation Resource,” IEEE Access, vol. 7, pp. 16444-16459, Jan. 2019.

  70. Q.-V. Pham, T. LeAnh, N. H. Tran, B. J. Park, and C. S. Hong, “Decentralized Computation Offloading and Resource Allocation for Mobile-Edge Computing: A Matching Game Approach,” IEEE Access, vol. 6, pp. 75 868–75 885, Nov. 2018.

  71. Q.-V. Pham and W.-J. Hwang, “Energy-Efficient Power Control for Uplink Spectrum-Sharing Heterogeneous Networks,” International Journal of Communication Systems, vol. 31, no. 14, pp. e3717, Jul. 2018.

  72. Q.-V. Pham and W.-J. Hwang, “alpha-Fairness Resource Allocation in Non-Orthogonal Multiple Access Systems,” IET Communications, vol. 12, no. 2, pp. 179-183, Jan. 2018.

  73. Q.-V. Pham and W.-J. Hwang, “Fairness-Aware Spectral and Energy Efficiency in Spectrum-Sharing Wireless Networks,” IEEE Transactions on Vehicular Technology, vol. 66, no. 11, pp. 10207-10219, Nov. 2017.

  74. Q.-V. Pham and W.-J. Hwang, “Network Utility Maximization based Congestion Control over Wireless Networks: A Survey and Potential Directives,” IEEE Communications Surveys & Tutorials, vol. 19, no. 2, pp. 1173-1200, Second Quarter 2017.

  75. Q.-V. Pham and W.-J. Hwang, “Network Utility Maximization in Multipath Lossy Wireless Networks,” International Journal of Communication Systems, vol. 30. no. 5, pp.1-18, Mar. 2017.

  76. F. Boabang, H. Nguyen, Q.-V. Pham, and W.-J. Hwang, “Network-assisted Distributed Fairness-aware Interference Coordination for Device to Device Communication Underlaid Cellular networks,” Mobile Information Systems, vol. 2017, pp. 1-11, 2017.

  77. Q.-V. Pham and W.-J. Hwang, “Resource Allocation for Heterogeneous Traffic in Complex Communication Networks,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 63, no. 10, pp. 959-963, Oct. 2016.

  78. Q.-V. Pham, H.-L. To, and W.-J. Hwang, “A Multi-Timescale Cross-Layer Approach for Wireless Ad Hoc Networks,” Computer Networks, vol. 18, pp. 471-482, Sep. 2015.

Conferences

  1. T.-H. Vu, Q.-V. Pham, D. B. da Costa, and S. Kim, “Performance Analysis of RSMA-aided UAV-to-Ground Communications,” in IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, Dec. 2023.

  2. Z. Zhao, Z. Yang, Q.-V. Pham, Q. Yang, and Z. Zhang, “Semantic Communication with Probability Graph: A Joint Communication and Computation Design,” in IEEE 98th Vehicular Technology Conference: VTC2023-Fall, Hong Kong, Oct. 2023.

  3. T. Huynh-The, Q.-V. Pham, T.-H. Vu, D. B. da Costa, and V.-P. Hoang, “Intelligent Spectrum Sensing with ConvNet for 5G and LTE Signals Identification,” in IEEE Statistical Signal Processing Workshop (SSP), Hanoi, Vietnam, Jul. 2023.

  4. T. Huynh-The, Q.-V. Pham, T.-V. Nguyen, D. B. da Costa, and V.-P. Hoang, “An Efficient Deep Network for Modulation Classification in Impaired MIMO-OFDM Systems, in ”IEEE Statistical Signal Processing Workshop (SSP), Hanoi, Vietnam, Jul. 2023.

  5. T.-H. Vu, K.-T. Nguyen, Q.-V. Pham, T. Huynh-The, D. B. da Costa, V. N. Q. Bao, and S. Kim, “Outage Performance of THz-aided NOMA Systems with Spherical Stochastic Model,” in IEEE Statistical Signal Processing Workshop (SSP), Hanoi, Vietnam, Jul. 2023.

  6. T. T. Nguyen, C. M. Nguyen, T. Huynh-The, Q.-V. Pham, Q. V. H. Nguyen, I. Razzak, and V. J. Reddi, “Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules,” in International Conference on Computational Science (ICCS), Prague, Czech Republic, Jul. 2023.

  7. T.-H. Vu, Q.-V. Pham, D. B. da Costa, M. Debbah, and S. Kim, “Physical-Layer Security in Short-Packet NOMA Systems with Untrusted Near User,” in IEEE International Conference on Communications (ICC), Rome, Italy, May 2023.

  8. M.-D. Nguyen, X.-T. Nguyen, H.-S. Luong, Q.-V. Pham, Q. V. Do, and W.-J. Hwang, “FFD: A Full-Stack Federated Distillation method for Heterogeneous Massive IoT Networks,” in IEEE International Conference on Advanced Technology for Communications (ATC), Hanoi, Vietnam, Oct. 2022.

  9. M.-D. Nguyen, Q.-V. Pham, M. Le, and W.-J. Hwang, “Semantic Graph Multi-agent Reinforcement Learning,” in International Conference on Multimedia Information Technology and Applications (MITA), Jeju Island, Korea, Jul. 2022.

  10. S.-M. Lee, Q.-V. Pham, M.-D. Nguyen, and W.-J. Hwang, “Model Parameter Compression Scheme using Dimension Reduction in Federated Learning,” in International Conference on Multimedia Information Technology and Applications (MITA), Jeju Island, Korea, Jul. 2022.

  11. Q.-V. Pham, M. Le, T. Huynh-The, Z. Han, and W.-J. Hwang, “UAV-enabled Wireless Powered Communication for Energy-Efficient Federated Learning,” in IEEE International Conference on Communications (ICC), Seoul, Korea, May 2022.

  12. T. Huynh-The, Q.-V. Pham, T.-V. Nguyen, D. B. da Costa, and D.-S. Kim, “RaComNet: High-Performance Deep Network for Waveform Recognition in Coexistence Radar-Communication Systems,” in IEEE International Conference on Communications (ICC), Seoul, Korea, May 2022.

  13. T. Huynh-The, Q.-V. Pham, T.-V. Nguyen, D. B. da Costa, and D.-S. Kim, “Automatic Modulation Classification with Low-Cost Attention Network for Impaired OFDM Signals,” in IEEE Wireless Communications and Networking Conference (WCNC), Austin, TX, USA, Apr. 2022.

  14. T. Huynh-The, Q.-V. Pham, T.-V. Nguyen, V.-S. Doan, N. T. Nguyen, D. B. da Costa, and D.-S. Kim, “Densely-Accumulated Convolutional Network for Accurate LPI Radar Waveform Recognition,” in IEEE Global Communications Conference (GLOBECOM), Madrid, Spain, Dec. 2021.

  15. T. Huynh-The, Q.-V. Pham, T.-V. Nguyen, X.-Q. Pham, and D.-S. Kim, “Deep Learning-based Automatic Modulation Classification for Wireless OFDM Communications,” in International Conference on Information and Communication Technology Convergence (ICTC), Jeju, Korea, Oct. 2021.

  16. T. Huynh-The, Q.-V. Pham, T.-V. Nguyen, and D.-S. Kim, “Deep Learning for Coexistence Radar-Communication Waveform Recognition,” in International Conference on Information and Communication Technology Convergence (ICTC), Jeju, Korea, Oct. 2021.

  17. R. Ruby, H. Yang, Q.-V. Pham, and K. Wu, “Delay Performance of UAV-Based Buffer-Aided Relay Networks under Bursty Traffic: Mobile or Static?,” in 22nd IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Pisa, Italy, Jun. 2021.

  18. H. Xu, G. Zhang, J. Zhao, and Q.-V. Pham, “Intelligent reflecting surface aided wireless networks: Harris Hawks optimization for beamforming design,” in IEEE 6th International Conference on Computer and Communications (ICCC), Sichuan, China, Dec. 2020.

  19. V.-S. Doan, T. Huynh-The, C.-H. Hua, Q.-V. Pham, and D.-S. Kim, “Chain-Net: Learning Deep Model for Modulation Classification Under Synthetic Channel Impairment,” in IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, Dec. 2020.

  20. T. Huynh-The, V.-S. Doan, C.-H. Hua, Q.-V. Pham, and D.-S. Kim, “Learning Constellation Map with Deep CNN for Accurate Modulation Recognition,” in IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, Dec. 2020.

  21. R. Ruby, K. Wu, Q.-V. Pham, and B. M. Elhalawany, “Aiding a Disaster Spot via an UAV-Based Mobile AF Relay: Joint Trajectory and Power Optimization,” in ACM International Symposium on Mobility Management and Wireless Access (MobiWac), Alicante, Spain, Nov. 2020.

  22. T. Huynh-The, C.-H. Hua, V.-S. Doan, Q.-V. Pham, N. T. Van, and D.-S. Kim, “Deep Learning for Constellation-based Modulation Classification under Multipath Fading Channels,” in International Conference on Information and Communication Technology Convergence (ICTC), Jeju, Korea, Oct. 2020.

  23. I. Budhiraja, N. Kumar, S. Tyagi, Q.-V. Pham, and S. Tanwar, “Energy Efficient Mode Selection Scheme for Wireless Powered D2D Communications with NOMA Underlaying UAV,” in IEEE Conference on Computer Communications (INFOCOM), Toronto, Canada, Jul. 2020.

  24. H. Han, J. Zhao, D. Niyato, M. D. Renzo, and Q.-V. Pham, “Intelligent Reflecting Surface Aided Network: Power Control for Physical-Layer Broadcasting,” in IEEE International Conference on Communications (ICC), Dublin, Ireland, Jun. 2020.

  25. L. N. T. Huynh, Q.-V. Pham, T. D. T. Nguyen, M. D. Hossain, J. H. Park, and E.-N. Huh, “A Study on Computation Offloading in MEC Systems using Whale Optimization Algorithm,” in International Conference on Ubiquitous Information Management and Communication (IMCOM), Taichung, Taiwan, 2020.

  26. I. Nadia, Q.-V. Pham, and W.-J. Hwang, "Resource Management in NOMA-based Unmanned Aerial Vehicles Wireless Backhaul Networks, in Korea-Japan Joint Workshop on Complex Communication Sciences (KJCCS2020), Hiroshima, Japan, Jan. 2020.

  27. H.-T. Hoang, W.-J. Hwang, and Q.-V. Pham, “Improved S-Shaped Transfer Function for Binary Whale Optimization Algorithm,” in International Conference on Multimedia Information Technology and Applications (MITA), Ho Chi Minh city, Vietnam, Jul. 2019.

  28. H. N. T. Luan, Q.-V. Pham, Q. D. Nguyen, X.-Q. Pham, V. D. Nguyen, and E.-N. Huh, “Energy Efficient Computation Offloading with Multi-MEC Servers in 5G two-tier Heterogeneous Networks,” in International Conference on Ubiquitous Information Management and Communication (IMCOM), Phuket Thailand, Jan. 2019.

  29. Q.-V. Pham and W.-J. Hwang, “Fair and Energy-Efficient Power Control in Spectrum-Sharing Wireless Networks,” in International Conference on Multimedia Information Technology and Applications (MITA), Luang Prabang, Laos, Jun. 2016.

  30. Q.-V. Pham and W.-J. Hwang, “Outage Constrained Resource Allocation for Energy Efficiency in Coordinated Multicell OFDMA Networks,” in Japan-Korea Joint Workshop on Complex Communication Sciences (JKCCS2016), Busan, Korea, Oct. 2016.

  31. Q.-V. Pham, M. Hasegawa, and W.-J. Hwang, “An Energy-Efficient Resource Allocation in Ad Hoc Networks,” in Korea-Japan Joint Workshop on Complex Communication Sciences (KJCCS2016), Nozawa Onsen, Japan, Jan. 2016.

Theses