Muhammad Sulaiman

Ph.D. Candidate
University of Waterloo.

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DC 2554

200 University Ave. Waterloo, ON N2L 3G1

Muhammad Sulaiman (Student Member, IEEE) received his BS in Electrical Engineering from the National University of Sciences and Technology, Pakistan, in 2019. He joined the University of Waterloo for a Master of Mathematics (MMath) in Computer Science in 2020 and transferred to the Ph.D. program soon after. His work was nominated for the IEEE/IFIP NOMS best paper award in 2022 and 2023. His research interests include reinforcement learning, optimization of computer networks, and autonomous management and orchestration of mobile networks. He is passionate about using artificial intelligence for autonomous management and orchestration of 5G and beyond networks.

news

Dec 21, 2024 Paper titled ‘vNetRunner: Per-VNF Slice Modeling for 5G and Beyond Networks’ accepted in IEEE/IFIP Network Operations and Management Symposium (NOMS 2025). [Link to be posted soon]
Nov 20, 2024 Conducted a 2-day workshop for Rogers on 5G testbed deployment, monitoring and AI-based optimization.
Oct 14, 2024 Paper titled ‘Monarch: Monitoring Architecture for 5G and Beyond Network Slices’ published in IEEE TNSM journal. Link
Sep 26, 2024 Presented poster at the Cheriton Research Symposium 2024. Link, Poster
Aug 01, 2024 Paper titled ‘Generalizable 5G RAN/MEC Slicing and Admission Control for Reliable Network Operation’ published in IEEE TNSM journal. Link

selected publications

  1. microopt.png
    MicroOpt: Model-driven Slice Resource Optimization in 5G and Beyond Networks
    Muhammad Sulaiman, Mahdieh Ahmadi, Bo Sun, and 4 more authors
    arXiv, Under Review at TNSM, 2024
  2. coord.png
    Coordinated Slicing and Admission Control Using Multi-Agent Deep Reinforcement Learning
    Muhammad Sulaiman, Arash Moayyedi, Mahdieh Ahmadi, and 3 more authors
    IEEE Transactions on Network and Service Management, 2023