Title: Automate Network Slicing under Simulation-to-Reality Discrepancy
Abstract: Network slicing achieves cost-efficient slice customization to support heterogeneous applications and services. Configuring cross-domain resources to end-to-end slices based on service-level agreements, however, is challenging, due to the complicated underlying correlations and the simulation-to-reality discrepancy between simulators and real networks. In this talk, I will present Atlas, an online network slicing system, which automates the service configuration of slices safely and sample-efficiently. Atlas is achieved via learn-to-configure approaches in three novel interrelated stages, including the learning-based simulator, offline policy training, and online policy learning. I will show the Atlas implementation on an end-to-end network prototype based on OpenAirInterface RAN, OpenDayLight SDN transport, OpenAir-CN core network, and Docker-based edge server. Experimental results show that, compared to state-of-the-art solutions, Atlas achieves 63.9% and 85.7% regret reduction on resource usage and slice quality of experience during the online learning stage, respectively.
Bio: Dr. Qiang Liu is an Assistant Professor at the School of Computing, University of Nebraska-Lincoln. He earned his Ph.D. degree in Electrical Engineering from the University of North Carolina at Charlotte (UNCC) in 2020, and received the Outstanding Graduate Student Award from the Department of Electrical and Computer Engineering at UNCC in 2019. He received his M.S. degree from the University of Electronic Science and Technology of China (UESTC) in 2016. His papers won IEEE Communications Society’s Transmission, Access, and Optical Systems (TAOS) Best Paper Award 2019, and IEEE International Conference on Communications (ICC) Best Paper Award 2019 and 2022. His research interests lie in the broad field of edge computing, wireless communication, computer networking, and machine learning.
reference paper is:
Qiang Liu, Nakjung Choi, and Tao Han, Atlas: Automate Online Service Configuration in Network Slicing, ACM 18th International Conference on emerging Networking EXperiments and Technologies (CoNEXT 2022), Dec. 2022, Rome, Italy
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