Intelligent Communication, Computing and Networking Lab

Selected Publications

Journal Publications

  1. B. Wu, F. Fang and X. Wang, “Stackelberg Game Based Performance Optimization in Digital Twin Assisted Federated Learning over NOMA Networks”, IEEE Transactions on Wireless Communications, 2024.
  2. X. Xie, F. Fang, and X. Wang, “Rethinking Power Minimization in a Downlink Hybrid NOMA Network”, IEEE Communications Letters., 2024. (Under 2nd Review)
  3. X. Xie, F. Fang, L. Zhang and X. Wang, “Power-Efficient Optimization for Coexisting Semantic and Bit-Based Users in NOMA Networks”, IEEE Transactions on Communications, 2024.
  4. J. Wang, F. Fang, G. Han, N. Wang and X. Wang, “Joint Secrecy Rate Achieving and Authentication Enhancement via Tag-based Encoding in Chaotic UAV Communication Environment”, IEEE Internet of Things., 2024.
  5. H. Chen, F. Fang, and X. Wang, “Knowledge Sharing-enabled Semantic Rate Maximization for Multi-cell Task-oriented Hybrid Semantic-Bit Communication Networks”, IEEE Transactions on Communications, 2024.
  6. X. Ma, F. Fang and X. Wang, “Dynamic Authentication and Granularized Authorization with a Cross-Domain Zero Trust Architecture for Federated Learning in Large-Scale IoT Networks”, IEEE Transactions on Networking., 2024.
  7. X. Bai, A, Yu, F, Fang, X. Wang, Y. Yang, and Y. Li, “Secure Communication in Active RIS-Assisted MISO Systems with Hardware Impairments”, IEEE Communications Letters., vol. 13, no. 12, pp. 3528-3532, Dec. 2024. (Link)
  8. W. He, F. Zhou, D. Tang, F. Fang, and W. Chen, “Caching for Doubly Selective Fading Channels via Model Agnostic Meta-Reinforcement Learning,” IEEE System Journal, vol. 18, no. 3, pp. 1776-1785, Sept. 2024. (Link)
  9. J. Zhu, J. Jin, Y. He, F. Fang, W. Huang, and Z. Zhang, “Joint Optimization of User Scheduling, Rate Allocation, and Beamforming for RSMA Finite Blocklength Transmission,” IEEE Internet of Things, vol. 11, no. 17, pp. 27904-27915, Sept. 2024. (Link)
  10. C. Tan, D. Cai, F. Fang, Z. Ding, and P. Fan, “Federated Unfolding Learning for CSI Feedback in Distributed Edge Networks,” IEEE Transactions on Communications, July 2024. (Early Access: Link)
  11. S. Habibi, J. Chen, F. Fang, and X. Wang, “User-Specific Channel Estimation Overhead Optimization and Resource Allocation for Multi-User OTFS Systems,” IEEE Communications Letters, vol. 28, no. 9, pp. 2126-2130, Sept. 2024. (Link)
  12. H. Chen, F. Fang, and X. Wang, “Semantic extraction model selection for IOT devices in edge-assisted semantic communications,” IEEE Communications Letters, vol. 28, no. 7, pp. 1733-1737, July 2024.
  13. B. Wu, F. Fang, X. Wang, D. Cai, S. Fu, and Z. Ding, “Client Selection and Cost-Efficient Joint Optimization for NOMA-Enabled Hierarchical Federated Learning,” IEEE Transactions on Wireless Communications, vol. 23, no. 10, pp. 14289-14303, Oct. 2024.
  14. B. Li, X. Wang, and F. Fang, “Maximizing the Value of Service Provisioning in Multi-User ISAC Systems through Fairness Guaranteed Collaborative Resource Allocation,” IEEE Journal on Selected Areas in Communications, vol. 42, no. 9, pp. 2243-2258, Sept. 2024.
  15. Y. Xu, F. Fang, S. Wang, D. Cai, “Energy Efficiency Maximization for Downlink NOMA Designs Via Symbol-Level Precoding,” IEEE Transactions on Vehicular Technology, vol. 73, no. 10, pp. 14974-14987, Oct. 2024.
  16. Y. Fu, X. Wang and F. Fang, “Multi-Objective Multi-Dimensional Resource Allocation for Categorized QoS Provisioning in Beyond 5G and 6G Radio Access Networks,” IEEE Transactions on Communications, vol. 72, no. 3, pp. 1790-1830, March 2024.
  17. B. Wu, F. Fang, and X. Wang, “Joint Age-based Client Selection and Resource Allocation for Communication-Efficient Federated Learning over NOMA Networks,” IEEE Transactions on Communications, vol. 72, no. 1, pp. 179-192, Jan. 2024. (Link)

Conference Publications

  1. B. Wu, F. Fang and X. Wang, “Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems”, in Proceeding of IEEE International Conference on Communications (ICC) , 2024.
  2. H. Chen, F. Fang, and X. Wang, “Collaborative Knowledge Sharing-empowered Effective Semantic Rate Maximization for Two-tier Semantic-Bit Communication Networks”, ICC 2025 - IEEE International Conference on Communications, Montreal, QC, Canada
  3. B. Wu, F. Fang, and X. Wang, “Performance Optimization of Digital Twin Assisted Federated Learning over NOMA Networks Using Stackelberg Game”, The 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 2024.
  4. Y. Shen, F. Fang, B. Wang and L. Zhang, “An Efficient Federated Learning Framework for IoT Intrusion Detection”, The 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 2024.