Conference

Keynote Title

3GPP Evolution Towards AI-Driven 6G Network

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 evolving within 3GPP standardisation and many pathways for its impact are still open. In this talk, we present an overview of AI/ML integration that started in 5G and is evolving towards the first 6G standards. Following the 3GPP perspective, we start from 5G CN and move towards 5G RAN, focusing on AI/ML impact on 5G and beyond 5G physical layer design. We also cover complementary work done by Open RAN (O-RAN).

Bios

Dr Dejan Vukobratović received a PhD.degree in electrical engineering from University of Novi Sad, Serbia, in 2008, where he is currently a Full Professor. He is also an affiliated Senior Researcher at the Institute of Artificial Intelligence Research and Development of Serbia. During 2009-2010, he was Marie Curie postdoctoral fellow at the University of Strathclyde, Glasgow, UK. He has published more than 70 journal papers and 130 conference papers in top-tier IEEE journals and conferences. He received a best paper award at IEEE MMSP 2010 and IEEE SmartGridComm 2017. He serves as an Associated Editor for IEEE Transactions on Communications. 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 ICC 2023 (Rome), and IEEE CSCN 2026 (London), and General Chair for BalkanCom 2021 (Novi Sad), IEEE CSCN 2024 and FCN 2025 (Belgrade). His research interests include wireless communications, signal processing, machine learning and information theory applied in mobile cellular systems (5G and beyond 5G), IoT and connected robotics.