Beyond 5G and Artificial Intelligence
Friday, 21 June 2019, 11:00-12:30, Auditorium 2
- Panagiotis Demestichas (University of Piraeus, Greece)
Motivation and Background
This panel will investigate the tight coupling of the new connectivity generation and the digital transformation with the advent of AI. 5G and future connectivity infrastructures will offer unprecedented performance levels. Gradually, through successive standards versions, new services will be enabled. These services will transform the way end-users live, corporations conduct business, and governments operate. This will happen in a direct manner (e.g., enhanced eMBB/URLLC-powered applications offered to end users) or indirectly, e.g., by providing data, in a timely and reliable manner, to advanced AI mechanisms, which are essential for the provision of vertical services.
Potential benefits from the introduction of intelligence in the system could aid network management and optimization, increase spectrum efficiency and improve QoS/QoE; however, AI will also affect the design of new architectures beyond 5G resulting in many uncharted scientific territories.
From a different perspective, new businesses and the sustainability of current ones call for more intelligence in the network infrastructure. Aspects like AI and Machine/Deep Learning seem to open new business opportunities and to pave the way for areas in need of research work.
Aspects like the ones above seem to open new business opportunities and to pave the way for areas in need of research work. Therefore, they call for a panel in the context of the EuCNC 2019.
- What are the first services and application areas in need of AI and B5G for their transformation?
- What offerings are we aiming at, beyond those happening today or through the first 5G versions?
- What further performance levels are needed for AI? Are these possible today and at what cost?
- What is the impact on connectivity and AI in 5G, B5G, longer term evolution?
- AI impact on architecture, access network, core network and devices?
- AI impact on network resource optimisation and management?
- Is a new generation of wireless (namely 6G) being designated, through the tight coupling with AI mechanisms?
The panel is composed of (see CVs below):
- Chair: Panagiotis Demestichas (Professor, University of Piraeus, Greece)
- Slawomir Stanczak (Head of Wireless Communications and Networks Department, Fraunhofer Heinrich Hertz Institute HHI, Germany)
- Sana Ben Jemaa (Research Engineer & Project Manager, Orange Labs, France)
- Heli Helaakoski (Senior Principal Scientist, VTT Technical Research Centre of Finland Ltd, Finland)
- Peiying Zhu (Huawei Fellow, Huawei, Canada)
- Henning Sanneck (Head of the “Network Automation” Department, Nokia Bell Labs, Research, Germany)
Professor Panagiotis Demestichas holds a Diploma and Ph.D. degrees on Electrical Engineering from the National Technical University of Athens (NTUA). He teaches networks, services, queuing systems, network design and management at the University of Piraeus, School of ICT, Department of Digital Systems, Greece. He conducts research on 5G, clouds, IoT, nanosystems and wearables, SDN/NFV, smart energy/transportation/health/cities. Additionally, his expertise lead him to work on system development for WINGS ICT Solutions (www.wings-ict-solutions.eu) and its spin-off Incelligent (www.incelligent.net). He has published numerous articles and research papers and is a member of the Association for Computing Machinery (ACM) and a Senior Member at IEEE.
Sławomir Stańczak received the degree in electrical engineering with specialization in control theory from the Wroclaw University of Technology, Wrocław, Poland, and the Technical University of Berlin (TU Berlin), Berlin, Germany. He received the Dipl.-Ing. degree in 1998 and the Dr.-Ing. degree (summa cum laude) in electrical engineering in 2003, both from TU Berlin, the Habilitation degree (venialegendi) followed in 2006. Since 2015, he has been a Full Professor for network information theory with TU Berlin and the head of the Wireless Communications and Networks Department. He has been involved in research and development activities in wireless communications since 1997. In 2004 and 2007, he was a Visiting Professor with RWTH Aachen University and in 2008, he was a Visiting Scientist with Stanford University, Stanford, CA, USA. He is a coauthor of two books and more than 200 peer-reviewed journal articles and conference papers in the area of information theory, wireless communications, signal processing, and machine learning. He received research fellowships from the German Research Foundation and the Best Paper Award from the German Communication Engineering Society in 2014. He was a Cochair of the 14th International Workshop on Signal Processing Advances in Wireless Communications (2013). From 2009 to 2011, he was an Associate Editor of the European Transactions for Telecommunications (information theory) and an Associate Editor of the IEEE Transactions on Signal Processing from 2012 to 2015.
Sana Ben Jemaa
Sana Ben Jemaa works as a senior research expert in Orange Labs. I received the engineering diploma of the École Nationale Supérieure des Télécommunications de Bretagne, Brest, France, in 2001 and the Ph.D. degree in electrical engineering in the École Nationale Supérieure des Télécommunications, Paris, France in 2004. Since 2005 I have been working as a research engineer and project manager at Orange Labs. My current position consists in leading research activities on RAN management evolutions in 5G, as well as shorter term activities that define the strategic path towards these evolutions. My research interests include mobile/wireless communications, self-organising networks and artificial intelligence application for RAN management.
Heli Helaakoski works as a senior principal scientist at VTT focusing on digitalisation and artificial intelligence, especially on applying ICT technologies in various industrial environments. I have worked almost 20 years at VTT in various positions – research manager, team leader and senior scientist. My current responsibilities entail preparing and leading projects both on a national and international level. Currently, I am a coordinator of an EU project Morse that is optimising the use of resources and energy in the European steel industry and an opportunity leader in Secured Autonomous Systems in VTT’s strategic work. I am inspired by the ever-evolving field of information technology, and always eager to combine my hands-on expertise to my ability to create impact for research.
Dr. Peiying Zhu is an Huawei Fellow and IEEE Fellow. She is currently leading 5G wireless system research in Huawei. The focus of her research is advanced wireless access technologies with more than 200 granted patents. She has been regularly giving talks and panel discussions on 5G vision and enabling technologies. She served as the guest editor for IEEE Signal processing magazine special issue on the 5G revolution and IEEE JSAC on Deployment Issues and Performance Challenges for 5G. She co-chaired various 5G workshops in IEEE GLOBECOM. She is actively involved in 3GPP and IEEE 802 standards development. She is currently a WiFi Alliance Board member.
Prior to joining Huawei in 2009, Peiying was a Nortel Fellow and Director of Advanced Wireless Access Technology in the Nortel Wireless Technology Lab. She led the team and pioneered research and prototyping on MIMO-OFDM and Multi-hop relay. Many of these technologies developed by the team have been adopted into LTE standards and 4G products.
Henning Sanneck heads the “Network Automation” Department at Nokia Bell Labs, Research, in Munich, Germany. He received his Dr.-Ing. (PhD) degree in Electrical Engineering from the Technical University of Berlin with a thesis on Voice over IP QoS in 2000. Then, Henning joined Siemens – Mobile Networks as a Senior Research Engineer, becoming an Innovation Project Manager in Radio Network Management in 2003. In 2007, at the formation of Nokia Siemens Networks, he started to lead a line team driving Self Organizing Networks (SON) concepts, IPR and demos for LTE using policy-based management technologies. Since 2009, Henning and his team are working on applying and adapting analytics and machine learning technologies to Radio Network Management (in particular for anomaly detection and diagnosis) using real network data- and simulation-based approaches. In 2014/15, as “Head of Cognitive Network Management” for Nokia Networks Research, he has also acted as the coordinator of the research & standardization work in that technical area which included the strategy development and technology transfer supervision. Henning’s team has been continuously involved in nationally (BMBF) and internationally (EU) funded research projects.
His current research interests are in 5G Network Management and Orchestration, in particular configuration, healing and the operation of Cognitive Functions in virtualized, sliced radio access networks (across public and private deployment scenarios). Henning has published 80 papers and has 30 patents granted or published. He has been co-editor and -author of the book “LTE Self-Organizing Networks”.