May, 8th 2023
9:00-9:40 ANMS Opening & Keynote
Chair: Prof. Paul Harvey, University of Glasgow, Glasgow, UK
Speaker: Kwang-Cheng Chen, University of South Florida, Tampa, Florida, USA
Title: Network Management and Machine Learning Architecture Beyond 5G
Machine learning technology introduces a paradigm shift in 5G and beyond mobile communications and networking. Together with software defined network and network function virtualization technology, it suggests numerous technological opportunities regarding automated network management and network architecture supporting diverse network traffic needs and service requirements. Looking current and future trends of new and diverse applications in mobile communications and SDN/NFV, we examine machine learning network architecture and subsequent network management from different aspects to satisfy the needs of users, operators, and network systems. Technology roadmap toward automated network management in 6G mobile communications is therefore high-lighted.
Kwang-Cheng Chen has been a Professor at the Department of Electrical Engineering, University of South Florida, since 2016. From 1987 to 2016, Dr. Chen worked with SSE, Communications Satellite Corp., IBM Thomas J. Watson Research Center, National Tsing Hua University, HP Labs., and National Taiwan University in mobile communications and networks. He visited TU Delft (1998), Aalborg University (2008), Sungkyunkwan University (2013), and Massachusetts Institute of Technology (2012-2013, 2015-2016). He founded a wireless IC design company in 2001, which was acquired by MediaTek Inc. in 2004. He has been actively involving in the organization of various IEEE conferences and serving editorships with a few IEEE journals, together with various IEEE volunteer services to the IEEE, Communications Society, Vehicular Technology Society, and Signal Processing Society, such as founding the Technical Committee on Social Networks in the IEEE Communications Society and founding series editor of AI and Data Science for Communications in the IEEE Communications Magazine. Dr. Chen also has contributed essential technology to various international standards, namely IEEE 802 wireless LANs, Bluetooth, LTE and LTE-A, 5G-NR, and ITU-T FG ML5G. He has authored and co-authored over 350 IEEE publications, 4 books published by Wiley and River (most recently, Artificial Intelligence in Wireless Robotics, 2020), and more than 26 granted US patents. Dr. Chen is an IEEE Fellow, AAIA Fellow, and has received a number of awards including 2011 IEEE COMSOC WTC Recognition Award, 2014 IEEE Jack Neubauer Memorial Award, 2014 IEEE COMSOC AP Outstanding Paper Award, and paper awards in IEEE conferences. Dr. Chen’s current research interests include wireless networks, quantum communications and computing, multi-agent systems and social networks, machine learning and AI, and cybersecurity.
9:40-10:30 TS 1: Intent-Based Networking for autonomous networks
Chair: Prof. Miguel Camelo
11:00-12:15 TS 2: End-to-End management and trustworthiness for autonomous networks
Chair: Prof. Paul Harvey, University of Glasgow, Glasgow, UK
13:30-14:10 FlexNGIA Keynote: AI/ML management of 6G - opportunities and challenges
Abstract: Currently, there are many research activities concerning the 6G network worldwide, which should be available commercially by 2030. These activities start with defining the 6G vision based on use cases and related requirements. According to many white papers, the 6G network should be deeply integrated with AI, leading to an ‘AI-native’ system in which AI will be used in multiple layers and deeply integrated. The use of AI for control loop-based management is nothing new. Such an approach has already been proposed for LTE-SON, 5G and other networking solutions to cope with management complexity, provide quick management reactions and implement so-called “self-functions” (self-configuration, self-healing, etc.). There are, however, new requirements.
In the talk, synthetic requirements concerning 6G and their impact on management will be presented with the emphasized role of AI-native management operations, having FCAPS in mind. These new requirements will primarily deal with predictive management to provide high network reliability and with the Cloud Continuum and Network-of-Networks paradigms. The talk will include aspects of the AI-native implementation framework in the multistakeholder environment (towards AIaaS), discussing security and privacy issues. The use of Network Digital Twin and XAI will also be outlined, as well as the role of human-in-the-loop. A list of challenges related to the AI deployment cost (lightweight AI for resource-constrained devices), convergence time, multi-objective optimization, coordination, adaptability of AI to changing topologies and trust will be provided at the end of the talk.
Bio: Sławomir Kukliński
In 1994, Sławomir received a PhD with honours from the Warsaw University of Technology, and since then, he has been an assistant professor. His PhD thesis concerned neural networks (now part of AI). For about 20 years, he also works for Orange Polska as Research Expert. At the beginning of his career, he was involved in digital signal processing for military (radar systems) and non-military applications (voice compression and recognition). Later, he worked on wireless mesh networks (MANET), VANET (V2X), and SDN. For about 15 years, he has been involved in research concerning autonomic network management and mobile networks. He is working on network slicing 5G, 6G and autonomic and cognitive techniques applied to network management and control. As a principal investigator, he was involved in more than ten EU-funded projects, including FP6 MIDAS, FP7 4WARD, FP7 EFIPSANS, Celtic COMMUNE (Cognitive Network Management under Uncertainty), 5G!Pagoda, 5G-DRIVE, 5G!Drones, MonB5G and Hexa-X (6G flagship project in Europe). Actually, he is involved in the Hexa-X follow-up project, Hexa-X-II. He has also been engaged in ITU-T standardization concerning future networks (SG13). Slawomir Kukliński has published more than 90 scientific papers, has been a TPC member of many conferences and has given several invited keynotes.
14:10-15:00 Poster session on resource allocation and traffic analysis in autonomous networking and future internet
Chair: Miguel Camelo, University of Antwerp - IMEC, Belgium
Dynamic and Multiprovider-based Resource Infrastructure in the NFV MANO Framework
Sławomir Kukliński, Orange Polska, Warsaw University of Technology, Poland - Presenter
Jordi Mongay Batalla, Warsaw University of Technology, Poland
Janusz Pieczerak, Orange Polska, Poland