孙宇璇(Sun, Yuxuan) - Publications

Journal Papers
Submitted
• Y. Sun, F. Zhang, J. Zhao, S. Zhou, Z. Niu, and D. Gunduz, "Coded Computation across Shared Heterogeneous Workers with Communication Delay," IEEE Trans. Signal Process., revised. [arXiv:2109.11246]

Published/Accepted
• Y. Sun, S. Zhou, Z. Niu, and D. Gunduz, "Dynamic Scheduling for Over-the-Air Federated Edge Learning with Energy Constraints", IEEE J. Sel. Areas Commun., vol. 40, no. 1, pp. 227-242, Jan. 2022.
• T. Zhao, S. Zhou, Y. Sun, and Z. Niu, "A Predictive Frame Transmission Scheme for Cloud Gaming in Mobile Edge Cloudlet Systems," IEEE Transactions on Mobile Computing, early access, 2022.
• J. Sun, Y. Sun, S. Zhou, Z. Niu, "Status Update for Accurate Remote Estimation: Centralized and Decentralized Schemes," IEICE Trans. Commun., vol. 105, no. 2, pp. 131-139, Feb. 2022.
• L. Wang, J. Sun, Y. Sun, S. Zhou, Z. Niu, "A UoI-Optimal Policy for Timely Status Updates with Resource Constraint," Entropy, Aug. 2021, 23(8):1084.
• F. Zhang, Y. Sun*, and S. Zhou, "Coded Computation over Heterogeneous Workers with Random Task Arrivals," IEEE Commun. Lett., vol. 25, no. 7, pp. 2338-2342, July 2021.
• Y. Sun, S. Zhou, and Z. Niu, "Distributed Task Replication for Vehicular Edge Computing: Performance Analysis and Learning-based Algorithm," IEEE Trans. Wireless Commun., vol. 20, no. 2, pp. 1138-1151, Feb. 2021.
• Y. Sun, W. Shi, X. Huang, S. Zhou, and Z. Niu, "Edge Learning with Timeliness Constraints: Challenges and Solutions," IEEE Commun. Mag., vol. 58, no. 12, pp. 27-33, Dec. 2020.
• W. Shi, Y. Sun, X. Huang, S. Zhou, and Z. Niu, "Scheduling Policies for Federated Learning in Wireless Networks: An Overview," ZTE Communications, vol. 18, no. 2, pp. 11-19, Jun. 2020.
• S. Zhou, Y. Sun, Z. Jiang, and Z. Niu, "Exploiting Moving Intelligence: Delay-Optimized Computation Offloading in Vehicular Fog Networks," IEEE Commun. Mag., vol. 57, no. 5, pp. 49-55, May 2019.
• Y. Sun, X. Guo, J. Song, S. Zhou, Z. Jiang, X. Liu, and Z. Niu, "Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems," IEEE Trans. Veh. Technol., vol. 68, no. 4, pp. 3061-3074, Apr. 2019.
• Y. Sun, S. Zhou, and J. Xu, "EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks," IEEE J. Sel. Areas Commun., vol. 35, no. 11, pp. 2637-2646, Nov. 2017.

In Chinese
• Z. Niu, S. Zhou, Y. Sun, "Green communication and networking for Carbon-peaking and Carbon-neutrality: challenges and solutions," Journal on Communications, 2022, 43(2): 1-14.
• J. Sun, L. Wang, Y. Sun, S. Zhou, Z. Niu, "Information timeliness metrics and research progress for 6G network," Telecommunications Science, vol. 37, no. 6, pp. 3-13, 2021.
• Q. Zeng, Y. Sun, S. Zhou, "Computation task offloading algorithm and system level simulation for vehicles," Chinese Journal on Internet of Things, vol. 3, no. 3, pp. 62-69, 2019.

Conference Proceedings
• Y. Sun, S. Zhou, Z. Niu, and D. Gunduz, "Time-Correlated Sparsification for Efficient Over-the-Air Model Aggregation in Wireless Federated Learning," IEEE Int. Conf. Commun. (ICC), May 2022. [arXiv:2202.08420]
• Y. Jia, R. Mao, Y. Sun, S. Zhou, and Z. Niu, "Online V2X Scheduling for Raw-Level Cooperative Perception," IEEE Int. Conf. Commun. (ICC), May 2022. [arXiv:2202.06085]
• W. Shi, Y. Sun, S. Zhou, and Z. Niu, "Device Scheduling and Resource Allocation for Federated Learning under Delay and Energy Constraints," IEEE SPAWC, Sept. 2021.
• Y. Sun, S. Zhou, and D. Gunduz, "Energy-Aware Analog Aggregation for Federated Learning with Redundant Data," IEEE Int. Conf. Commun. (ICC), Dublin, Ireland, Jun. 2020.
• Y. Sun, J. Zhao, S. Zhou, and D. Gunduz, "Heterogeneous Coded Computation across Heterogeneous Workers," IEEE Global Commun. Conf. (GLOBECOM), Waikoloa, HI, USA, Dec. 2019. (IEEE Comsoc Student Travel Grants)
• Y. Sun, J. Song, S. Zhou, X. Guo, and Z. Niu, "Task Replication for Vehicular Edge Computing: A Combinatorial Multi-Armed Bandit based Approach," IEEE Global Commun. Conf. (GLOBECOM), Abu Dhabi, UAE, Dec. 2018.
• Y. Sun, X. Guo, S. Zhou, Z. Jiang, X. Liu, and Z. Niu, "Learning-Based Task Offloading for Vehicular Cloud Computing Systems," IEEE Int. Conf. Commun. (ICC), Kansas City, MO, USA, May 2018.
• J. Xu, Y. Sun, L. Chen, and S. Zhou, "E2M2: Energy Efficient Mobility Management in Dense Small Cells with Mobile Edge Computing," IEEE Int. Conf. Commun. (ICC), Paris, France, May 2017.
• Z. Zhu, X. Xu, X. Zheng, Y. Sun, S. Zhou, J. Gong, Z. Niu, "A simulation study of hyper-cellular architecture with dynamic temporal and spatial traffic," Asia-Pacific Conference on Communications (APCC), 2015.