Publications

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Full publications list: tony_publications.pdf
Full publications: See ResearchGate

Books:
  1. T. Q. S. Quek, G. de la Roche, I. Guvenc, and M. Kountouris, “Small Cell Networks: Deployment, PHY Techniques, and Resource Allocation,” Cambridge University Press, 2013.
  2. T. Q. S. Quek, M. Peng, O. Simeone, and W. Yu, “Cloud Radio Access Networks: Principles, Technologies, and Applications,” Cambridge University Press, 2017.
  3. H. Yang and T. Q. S. Quek, “Massive MIMO meets Small Cell – Backhaul and Cooperation,” in SpringerBriefs in Computer Science, Springer, 2016.
  4. T. X. Vu, S. Chatzinotas, E. Bastug, and T. Q. S. Quek, “Wireless Edge Caching: Modeling, Analysis, and Optimization,” Cambridge University Press, 2020.
  5. H. Zhang, J. Lee, T. Q. S. Quek, and C.-L. I, “Ultra Dense Networks: Principles and Technologies,” Cambridge University Press, 2020.
Recent Journals (Submitted/Published):
  1. K. Guo, R. Gao, W. Xia and T. Q. S. Quek, “Online Learning based Computation Offloading in MEC Systems with Communication and Computation Dynamics,” IEEE Trans. Commun., submitted.
  2. H. Lee, S. H. Lee, and T. Q. S. Quek, “MOSAIC: Multi-objective Optimization Strategy for AI-aided Communications,” IEEE Commun. Mag., submitted.
  3. W. Wen, T. Q. S. Quek, Y. Fu, W. Xia, S. Jin, and F.-C. Zheng, “Online Joint Scheduling and Resource Allocation for Wireless-Powered Federated Learning,” IEEE Internet of Things Journal, submitted.
  4. H. S. Jang, H. Jin, B. C. Jung, and T. Q. S. Quek, “Resource-Optimized Recursive Access Class Barring for Bursty Traffic in Cellular IoT Networks,” IEEE Internet of Things Journal, submitted.
  5. H. Yang, C. Xu, X. Wang, D. Feng, and T. Q. S. Quek, “Understanding Age of Information in Large- Scale Wireless Networks,” IEEE Trans. Wireless Commun., submitted.
  6. Y. Fu, Z. Yang, T. Q. S. Quek, and H. Yang, “Leveraging Deep Learning and Recommendation for Cost Minimization in Wireless Caching Systems,” IEEE Trans. Commun., submitted.
  7. Y. Fu, L. Salaun, X. Yang, W. Wen, and T. Q. S. Quek, “Caching Efficiency Maximization for Device- to-Device Communication Networks: A Recommend to Cache Approach,” IEEE Trans. Wireless Commun., submitted.
  8. W. Wu, R. Liu, Q. Yang, H. Shan, and T. Q. S. Quek, “Learning-based Robust Resource Allocation for Ultra-Reliable V2X Communications,” IEEE Trans. Wireless Commun., revised.
  9. K. Guo and T. Q. S. Quek, “On the Asynchrony of Computation Offloading in Multi-User MEC Systems,” IEEE Trans. Commun., revised.
  10. W. Xia, T. Q. S. Quek, K. Guo, W. Wen, H. Yang, and H. Zhu, “Multi-Armed Bandit Based Client Scheduling for Federated Learning,” IEEE Trans. Wireless Commun., revised.
  11. K. Wei, J. Li, M. Ding, C. Ma, H. Yang, F. Farokhi, S. Jin, T. Q. S. Quek, and H. V. Poor, “Federated Learning with Differential Privacy: Algorithms and Performance Analysis,” IEEE Trans. Information Forensics, and Security, 2020.
  12. H. Yang, A. Arafa, T. Q. S. Quek, and H. V. Poor, “Optimizing Information Freshness in Wireless Networks: A Stochastic Geometry Approach,” IEEE Trans. Mobile Computing, 2020.
  13. L. Li, T. Q. S. Quek, J. Ren, H. Y. Yang, Z. Chen, and Y. Zhang, “An Incentive-Aware Job Offloading Control Framework for Mobile Edge Computing,” IEEE Trans. Mobile Computing, 2020.
  14. C. Liu, H. S. Jang, H. Jin, B. C. Jung, and Tony Q. S. Quek, “Versatile Access Control for Massive IoT: Throughput, Latency, and Energy Efficiency,” IEEE Trans. Mobile Computing, 2020.
  15. R. Hu, H. Shan, C. Wang, T. Sun, X. Zhen, L. Yu, Z. Zhang, and T. Q. S. Quek, “Video Surveillance on Mobile Edge Networks – A Reinforcement Learning Based Approach,” IEEE Internet of Things Journal, vol. 7, no. 6, pp. 4746-4760, Jun. 2020.
  16. W. Xia, J. Zhang, T. Q. S. Quek, S. Jin, and H. Zhu, “Mobile Edge Cloud-Based Industrial Internet of Things: Improving Edge Intelligence With Hierarchical SDN Controllers,” IEEE Vehicular Techno. Mag., vol. 15, no. 1, pp. 36–45, Mar. 2020.
  17. T. Q. Dinh, B. Liang, T. Q. S. Quek, and H. Shin, “Online Resource Procurement and Allocation in a Hybrid Edge-Cloud Computing System,” IEEE Trans. Wireless Commun., vol. 19, no. 3, pp. 2137-2149, Mar. 2020.
  18. H. Lee, T. Q. S. Quek, and S. H. Lee, “A Deep Learning Approach to Universal Binary Visible Light Communication Transceiver,” IEEE Trans. Wireless Commun., vol. 19, no. 2, pp. 956-969, Feb. 2020.
  19. C. Xu, H. Yang, X. Wang, and. T. Q. S. Quek, “Optmizing Information Freshness in Computing enabled IoT Networks,” IEEE Internet of Things Journal, vol. 7, no. 2, pp. 971-985, Feb. 2020.
  20. H. Yang, Z. Liu, T. Q. S. Quek, and H. V. Poor, “Scheduling Policies for Federated Learning in Wireless Networks,” IEEE Trans. Commun., vol. 68, no. 1, pp. 317-333, Jan. 2020.
  21. K. N Doan, M. Vaezi, W. Shin, H. V. Poor, H. Shin, and T. Q. S. Quek, “Power Allocation in Cache- Aided NOMA Systems: Optimization and Deep Reinforcement Learning Approaches,” IEEE Trans. Commun., vol. 68, no. 1, pp. 630-644, Jan. 2020.
  22. D. Kim, J. Lee, and T. Q. S. Quek, “Multi-layer Unmanned Aerial Vehicle Networks: Modeling and Performance Analysis,” IEEE Trans. Wireless Commun., vol. 19, no. 1, pp. 325-339, Jan. 2020.
  23. Y. Yuan, D. W. Soh, T. Q. S. Quek, and H. Yang, “Learning Overlapping Community-based Networks,” IEEE Signal and Information Processing over Networks, vol. 5, no. 4, pp. 684-697, Dec. 2019.
  24. H. Lee, S. H. Lee, and T. Q. S. Quek, “Deep Learning for Distributed Optimization: Applications to Wireless Resource Management,” IEEE J. Select. Areas Commun., vol. 37, no. 10, pp. 2251-2266, Oct. 2019. 
Recent Conference Papers (Accepted/Submitted):
  • M. V. Ngo, H. T. Hoang, T. T. Luo, and T. Q. S. Quek, “Coordinated Container Migration and Base Station Handover in Mobile Edge Computing,” in Proc. IEEE Globecom, Taipei, Dec. 2020, submitted.
  • P. Yang, X. Xing, T. Q. S. Quek, J. Chen, X. Cao, and D. O. Wu, “Repeatedly Energy-Efficient and Fair Service Coverage: UAV Slicing,” in Proc. IEEE Globecom, Taipei, Dec. 2020, submitted.
  • J.-T. Liu, C.-M. Chen, C. Lin, T. Q. S. Quek, and Z.-H. Yao, “Secure Energy Efficiency Maximization in MISO Heterogeneous Cellular Networks,” in Proc. IEEE Globecom, Taipei, Dec. 2020, submitted.
  • Y.-C. Wu, C. Lin, and T. Q. S. Quek, “A Robust Hierarchical Learning Approach for dynamic MEC Networks,” in Proc. IEEE Globecom, Taipei, Dec. 2020, submitted.
  • M. Siew, D. Cai, L. Li, and T. Q. S. Quek, “A Sharing-Economy Inspired Pricing Mechanism for Multi-Access Edge Computing,” in Proc. IEEE Globecom, Taipei, Dec. 2020, submitted.
  • K. Guo and T. Q. S. Quek, “Wireless Scheduling for Information Freshness with Random Arrivals and Services,” in Proc. IEEE Globecom, Taipei, Dec. 2020, submitted.
  • K. Guo and T. Q. S. Quek, “Dynamic Computation Offloading in Multi-Server MEC Systems: An Online Learning Approach,” in Proc. IEEE Globecom, Taipei, Dec. 2020, submitted.
  • H. Yang, A. Arafa, T. Q. S. Quek, and H. V. Poor, “Age of Information in Random Access Networks: A Spatiotemporal Study,” in Proc. IEEE Globecom, Taipei, Dec 2020.

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