Northeastern University Wireless Networks and Embedded Systems Lab
LeonardoLoSchiavo

Leonardo Lo Schiavo

Visiting Ph.D. Student

Institute for the Wireless Internet of Things

Department of Electrical and Computer Engineering
Northeastern University

Office: 644A3 EXP, 815 Columbus Ave, Boston, MA 02120
Mail:

Email: loschiavo.l@northeastern.edu

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Biography

Leonardo is a Ph.D. Student visiting from IMDEA Networks Institute, Madrid. He received his B.S. in Computer Engineering from University of Catania and a Double M.S. degree in Communications and Computer Networks Engineering from Politecnico di Torino and Politecnico di Milano under the Alta Scuola Politecnica Program. His research interests focus on software-defined-networking, 5G cellular networks, O-RAN, and the application of Machine Learning models for mobile traffic forecasting.

Research Interests

  • Software-defined Networking

  • 5G cellular networks

  • O-RAN

  • Machine Learning for mobile traffic forecasting

Publications

Articles in Conference Proceedings

  • L. Lo Schiavo, G. Garcia-Aviles, A. Garcia-Saavedra, M. Gramaglia, M. Fiore, A. Banchs, and X. Costa-Perez, "CloudRIC: Open Radio Access Network (O-RAN) Virtualization with Shared Heterogeneous Computing," in Proc. of the 30th International Conference on Mobile Computing and Networking (ACM Mobicom '24), Washington D.C., USA, Sept. 30-Oct. 4 2024. [pdf]

  • L. Lo Schiavo, J. A. Ayala-Romero, A. Garcia-Saavedra, M. Fiore, and X. Costa-Perez, "YinYangRAN: Resource Multiplexing in GPU-Accelerated Virtualized RANs," in Proc. of IEEE INFOCOM 2024 - IEEE International Conference on Computer Communications, Vancouver, BC, Canada, May 2024.

  • J. A. Ayala-Romero, L. Lo Schiavo, A. Garcia-Saavedra, and X. Costa-Perez, "Mean-Field Multi-Agent Contextual Bandit for Energy-Efficient Resource Allocation in vRANs," in Proc. of IEEE INFOCOM 2024 - IEEE International Conference on Computer Communications, Vancouver, BC, Canada, May 2024. [pdf]

  • L. Lo Schiavo, M. Fiore, M. Gramaglia, A. Banchs, and X. Costa-Perez, "Forecasting for Network Management with Joint Statistical Modelling and Machine Learning," in Proc. of 2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Belfast, United Kingdom, June 2022. [pdf] [bibtex]

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