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Full publications list: tony_publications.pdf
Full publications: See ResearchGate
Books:
- 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.
- T. Q. S. Quek, M. Peng, O. Simeone, and W. Yu, “Cloud Radio Access Networks: Principles, Technologies, and Applications,” Cambridge University Press, 2017.
- H. Yang and T. Q. S. Quek, “Massive MIMO meets Small Cell – Backhaul and Cooperation,” in SpringerBriefs in Computer Science, Springer, 2016.
- T. X. Vu, S. Chatzinotas, E. Bastug, and T. Q. S. Quek, “Wireless Edge Caching: Modeling, Analysis, and Optimization,” Cambridge University Press, 2020.
- 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):
- Y. Fu, Y. Yang, A. K. Y. Wong, and T. Q. S. Quek, “Revenue Maximization: The Interplay Between Personalized Bundle Recommendation and Wireless Content Caching,” IEEE Trans. Mobile Computing, revised.
- P. Yang, K. Guo, X. Xi, T. Q. S. Quek, X. Cao, and C. Liu, “Fresh, Fair and Energy Efficient Content Provision in a Private and Cache-Enabled UAV Network,” IEEE J. Select. Topics Signal Processing, 2022.
- K. Guo, Z. Chen, H. H. Yang, and T. Q. S. Quek, “Dynamic Scheduling for Heterogeneous Federated Learning in Private 5G Edge Networks,” IEEE J. Select. Topics Signal Processing, 2022.
- Y.-C. Wu, C. Lin, and T. Q. S. Quek, “A Robust Distributed Hierarchical Online Learning Approach for Dynamic MEC Networks,” IEEE J. Select. Areas Commun., 2022.
- Y. Fu, Y. Zhang, Q. Zhu, M. Chen, and T. Q. S. Quek, “Joint Content Caching, Recommendation, and Transmission Optimization for Next Generation Multiple Access Network,” IEEE J. Select. Areas Commun., 2022.
- Y. Han, S. Jin, Li. Xiao, C.-K. Wen, and T. Q. S. Quek, “Multi-Domain Channel Extrapolation for FDD Massive MIMO Systems,” IEEE Trans. Commun., 2022.
- Z. Zhao, C. Feng, W. Hong, J. Jiang, C. Jia, M. Peng, and T. Q. S. Quek, “Federated Learning with Non-IID Data in Wireless Networks,” IEEE Trans. Wireless Commun., 2022.
- D. He, Z. Wang, T. Q. S. Quek, S. Chen, and L. Hanzo, “Deep Learning-Assisted TeraHertz QPSK Detection Relying on Single-Bit Quantization,” IEEE Trans. Commun., 2022.
- H. Lee, S. H. Lee, and T. Q. S. Quek, “Learning Autonomy in Management of Wireless Random Networks,” IEEE Trans. Wireless Commun., 2022.
- .H. S. Jang, H. Lee, T. Q. S. Quek, and H. Shin, “Deep Learning Based Cellular Random Access Framework,” IEEE Trans. Wireless Commun., vol. 20, no. 11, pp. 7503-7518, Nov. 2021.
- Y. Wang, W. Feng, J. Wang, and T. Q. S. Quek, “Hybrid Satellite-UAV-Terrestrial Networks for 6G Ubiquitous Coverage: A Maritime Communications Perspective,” IEEE J. Select. Areas Commun., vol. 39, no. 11, pp. 3475–3490, Nov. 2021.
- P. Yang, X. Xi, K. Guo, T. Q. S. Quek, J. Chen, and X. Cao, “Proactive UAV Network Slicing for URLLC and Mobile Broadband Service Multiplexing,” IEEE J. Select. Areas Commun., vol. 39, no. 10, pp. 3225–3244, Oct. 2021.
- 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., vol. 20, np. 5, pp. 3196-3210, May 2021.
- A. Liu, R. Yang, T. Q. S. Quek, and M.-J. Zhao, “Two-Stage Stochastic Optimization via Primal-Dual Decomposition and Deep Unrolling,” IEEE Trans. Signal Processing, vol. 69, pp. 3000-3015, May 2021.
- 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., vol. 19, no. 11, pp. 7108-7123, Nov. 2020.
- 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, vol. 19, no. 8, pp. 1984–1997, Aug. 2020.
- 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, vol. 15, no. 4, pp. 3454–3466, Apr. 2020.
- 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.
Recent Conference Papers (Accepted/Submitted):
- TBC