论文论著(selected): Refereed Book [B1] Q. Li, Q. Ye, K. Zhang, M. Cheffena, F. Hu, “Channel-Awareness and Dependability in Industrial Internet of Things”, Springer, 2026, to be appeared.
Refereed Journal Papers (selected) [J1] Q. Li, Q. Ye, H. Wu, F. Hu, “Coverage Optimization in RIS-enabled Satellite-Terrestrial Networks: A Digital Twin-based Spatial-Temporal Approach,” IEEE Trans. Cogn. Commun. Netw., accepted, 2026,to be appeared. [J2] Q. Li, T. Yang, Q. Ye, N. Cheng, F. Hu,“Delay-Trajectory-Accuracy Trilemma Optimization for Non-IID Mitigation in UAV-Cooperative Federated Learning IoT, ”IEEE Trans. on Mobile Comput., accepted, 2026, to be appeared. [J3] T. Yang, Q. Li*, N. Zhang, W. Zhang, F. Hu, “Cooperation-based Federated Learning and Communication Optimization Under Intermittent Device Participation in Industrial IoT, ”IEEE Trans. on Commun., vol. 74, pp. 2874-2890, 2026. [J4] Q. Li, Q. Ye, N. Zhang, W. Zhang, F. Hu, “Digital-Twin-Enabled Industrial IoT: Vision, Framework, and Future Directions,”IEEE Wireless Commun. Magazine, vol. 32, no. 6, pp. 173-181, Dec. 2025. [J5] Q. Li, J. Chen, M. Cheffena, X. Shen, “Channel-Aware Latency Tail Taming in Industrial IoT,” IEEE Trans. on Wireless Commun., vol.22, no. 9, page 6107-6123, 2023. [J6] Q. Li, N. Zhang, M. Cheffena, X. Shen, “Channel-based Optimal Back-off Delay Control in Delay-Constrained Industrial WSNs,” IEEE Trans. on Wireless Commun., vol. 19, no. 1, page 696-711, 2020. [J7] Q. Li, M. Cheffena, “Exploiting Dispersive Power Gain and Delay Spread for Sybil Detection in Industrial WSNs: A Multi-Kernel Approach,” IEEE Trans. on Wireless Commun., vol. 18, no. 3, page 1805-1818, 2019. [J8] H. Liang, Z. Wu, Q. Li, N. Cheng, L. Shi, W. Wang “Secure Access Strategy for SatMEC Systems: Risk-Aware Service Selection in the Presence of Eavesdropping Satellites,”IEEE Trans. on Commun., accepted, to be appeared. [J9] Z. Li, F. Hu, Q. Li, Z. Ling, Z. Chang, and Timo Hamalainen, “AoI-Aware Waveform Design for Cooperative Joint Radar-Communications Systems with Online Prediction of Radar Target Property,” IEEE Trans. on Commun., Early Access, DOI: 10.1109/TCOMM.2024.3392748, 2024. [J10] B. He, J. Wang, Q. Qi, Q. Ye, Q. Li, J. Liao, X. Shen, “ShuttleBus: Dense Packet Assembling with QUIC Multi-Stream Independent Transfer for Massive IoT,” IEEE Trans. on Mobile Comput., Early Access, DOI: 10.1109/TMC.2023.3345898, 2023.
Refereed Conference Papers (selected) [C1] Q. Li, T. Yang, Q. Ye, H. Wu and F. Hu, “Coverage Optimization in RIS-enabled Satellite-Ground Networks” in Proc. IEEE ICCT, 2025 [C2] T. Yang, Q. Li*, H. Liang, X. Yu, F. Hu, J. Wang, “UAV-Assisted Anti-Jamming Relay Design for Reliable Federated Learning in Mobile Networks”, in Proc. IEEE VTC 2026. [C3] Q. Li, Q. Ye, and F. Hu, “Digital-Twin-Enabled Channel Access and Power Control for Smart Grids in Communication Networks” in Proc. IEEE VTC, 2025. [C4] Q. Li, F. Hu, “Digital Twin-enabled Channel Access Control in Industrial IoT” in Proc. IEEE/CIC ICCC 2024. [C5] Q. Li, M. Li, N. Zhang, F. Hu, “Digital twin-enabled Channel Access and Power Control Optimization in Industrial IoT” in Proc. IEEE Globecom 2024. [C6] Q. Li, M. Li, J. Kang, F. Hu, “Digital twin-based Intrusion Detection in Smart Grid: A Multi-kernel Knowledge Replay Approach” in Proc. IEEE Globecom 2024. [C7] T. Yang, Q. Li*, C. Guo, M. Wang, C. Liang and H. Liang, “Digital Twin-Enabled Intelligent Congestion Control for QUIC-based E2E Communication,” IEEE VTC2025-Fall, Chengdu, China, 2025. [C8] T. Yang, Q. Li*, C. Liang, Z. Ling and F. Hu, “A Device-Cooperative-based Scheme for Federated Learning with Unreliable Communications in IIoT,” IEEE MASS, Chicago, IL, USA, 2025. [C9] T. Yang, Q. Li*, F. Hu, “Intelligent Congestion Control in QUIC for Reliable E2E Communication Network: A Digital Twin-based Approach,” in Proc. IEEE/ICCC 2024. [C10] T. Yang, Q. Li*, N. Zhang, L. Zhao, F. Hu, “Efficient Federated Learning in Mobile Vehicular Networks: Intelligent User Selection and Resource Optimization”, in Proc. IEEE VTC 2024. [C11] Q. Li, W. Wu, W. Zhang, X. Shen, “Online Traffic Prediction in Multi-RAT Heterogeneous Network: A User-Cybertwin Asynchronous Learning Approach”, in Proc. IEEE PIMRC 2023.
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