Towards an AI-native 6G system architecture

Table of Contents

Seminars-1-2025 - This article is part of a series.

Part 1: Internet Architecture Evolution: Found in Translation

Part 2: Cloud Gaming (CG) & Extended Reality (XR/AR): Network Traffic Patterns & challenges in Network Management

Part 3: Quantum Algorithms: Computational Foundations and Engineering Challenge

Part 4: Challenges in Deploying a High-Performance SDN Network to Support the World’s Largest Optical Telescope

Part 5: This Article

Part 6: How Computer Vision At The Edge Is Changing The Way Products Are Made

Part 7: Sensing Without Seeing: EM Approaches to High-resolution Non-contact Detection

Part 8: Fast, Flexible, and Intelligent Next-Generation Networks and Systems

Abstract #

The next generation of mobile communications is expected to revolutionize connectivity through the integration of advanced artificial intelligence (AI) capabilities into its core architecture. This talk explores the concept of an AI-native 6G system, highlighting the symbiotic relationship between AI and 6G mobile networks. The architecture of AI-native 6G systems is characterized by distributed AI processing, edge intelligence, and the use of machine learning algorithms for (non/near-) real-time decision-making. These features support the autonomous operation of the mobile network elements. Specifically, the talk introduces the basic principles, technical challenges and research opportunities associated with developing AI-native 6G systems. Furthermore, the talk will provide an overview of the DESIRE6G system, an AI-native 6G system architecture, emphasizing its foundational principles and technical innovations by introducing related dynamic resource management approaches.

Bio #

Chrysa Papagianni is an associate professor at the Informatics Institute at the University of Amsterdam (UvA). Prior to joining UvA she was a network research engineer for Bell Labs Antwerp. From 2016 to 2018 she was a Research Scientist for the Institute for Systems Research, affiliated with the department of Electrical and Computer Engineering at the University of Maryland. From 2010 to 2016, she worked as Research and Teaching Associate for the School of Electrical and Computer Engineering at the National Technical University of Athens (NTUA). She received her Ph.D. in Electrical and Computer Engineering from the NTUA in 2009. She has co-authored over 90 publications in peer-reviewed journals and conferences. She has worked in multiple research projects funded by the European Commission, the European Space Agency and the US NSF spanning a period of 20 years. She has served in the organizing committee of several conferences and workshops. Chrysa is currently coordinating the SNS JU DESIRE6G project, while also leads the AI-assisted networking work package in the flagship project for the Netherlands on 6G Future Network Services.