Qiang Ye

In this talk, a two-timescale radio resource slicing and computing task offloading framework is presented for a cloud-enabled autonomous vehicular network. The proposed framework is to jointly maximize the communication and computing resource utilization with diverse quality-of-service (QoS) guarantee for autonomous driving tasks. Specifically, to capture the small-timescale network dynamics, a computing task offloading problem is formulated as a stochastic optimization program, for maximizing the long-term network-wide computation load balancing with minimum task offloading variations. To deal with the problem complexity and information uncertainty, a cooperative multi-agent deep Q-learning with fingerprint is employed to solve the problem by learning a set of stationary task offloading policies with stabilized convergence. Given the offloading decisions, we further study a radio resource slicing problem in a large timescale to maximize the network utility with statistical QoS provisioning. Due to the correlation between the problems of two timescales, a hierarchical optimization framework is established for a joint learning and model driven solution. Simulation results are provided to demonstrate the effectiveness of the proposed framework. Some ongoing research directions are also discussed at the end of the talk.

Biography:

Qiang Ye received the PhD degree in Electrical and Computer Engineering from the University of Waterloo, ON, Canada, in 2016. Since Sept. 2021, he has been an Assistant Professor with the Department of Computer Science, Memorial University of Newfoundland, NL, Canada. Before joining Memorial, he had been with the Department of Electrical and Computer Engineering and Technology, Minnesota State University, USA, as an Assistant Professor from Sept. 2019 to Aug. 2021 and with the Department of Electrical and Computer Engineering, University of Waterloo as a Postdoctoral Fellow and a Research Associate from Dec. 2016 to Sept. 2019. He has published over 50 research articles on top-ranked IEEE Journals and Conference Proceedings. He is/was General and TPC co-chairs for different international conferences and workshops, e.g., IEEE VTC’22, IEEE INFOCOM’22, and IEEE IPCCC’21. He serves as associate editors of IEEE Transactions on Cognitive Communications and Networking, IEEE Open Journal of the Communications Society, Peer-to-Peer Networking and Applications, and International Journal of Distributed Sensor Networks. He is a Senior Member of IEEE.

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