Dejan Vukobratovic

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Professor, University of Novi Sad (Serbia)

Title of talk: Towards AI/ML Integration in 5G and Beyond

Abstract:
Machine Learning (ML) and Artificial Intelligence (AI) concepts are gradually being integrated in modern 3GPP standardized cellular networks. The process is initiated by introducing AI/ML functions in the 5G core network (5G CN) and from there, it is expanding towards AI-enabled 5G radio access network (RAN). AI/ML is currently at the early stage of design within 3GPP standardisation and many pathways for its impact are still open. In this talk, we present an overview of AI/ML integration in 5G and Beyond. Following the 3GPP perspective, we start from 5G CN and move towards 5G RAN, focusing on AI/ML impact on 5G and B5G physical layer design. We also cover complementary work done by Open RAN (O-RAN) Alliance. The talk concludes with various challenges on the road towards full AI/ML integration in mobile cellular networks.
Short Bio:
Dr. Dejan Vukobratovic received a PhD.degree in electrical engineering from University of Novi Sad, Serbia, in 2008, where he is currently a Full Professor. During 2009-2010, he was Marie Curie postdoctoral fellow at the University of Strathclyde, Glasgow, UK, after which he returned to UNS supported by 3-year Marie Curie Reintegration Grant. He has published more than 50 journal papers and 100 conference papers in top-tier IEEE journals and conferences. According to Google Scholar, his publications have been cited over 2600 times. He received a best paper award at IEEE MMSP 2010 and IEEE SmartGridComm 2017. He was TPC Co-Chair of IEEE VTC Spring 2020 (Antwerp) and IEEE SmartGridComm 2022 (Singapore), Symposia Chair on IEEE SmartGridComm 2021 (Aachen) and IEEE International Conference on Communications 2023 (Rome), he was General Chair for BalkanCom 2021 (Novi Sad) and will be General Chair for IEEE CSCN 2024 (Belgrade). His research group was involved in a number of EU and national projects (H2020 C4IIoT, H2020 COLLABS, H2020 SENSIBLE, HE REMARKABLE), and he was the coordinator of the H2020 twinning project INCOMING. His research interests include wireless communications, signal processing, machine learning and information theory applied in mobile cellular systems (5G and beyond 5G) and IoT communications.