6G SUMMIT 2023

Invited Speakers

Chongwen Huang

Zhejiang University, China

Thierry Lestable

Technology Innovation Institute (TII), UAE

Nuria Gonzalez Prelcic

University of Vigo, Spain

Fethi Filali

Director of Technology & Research, Qatar Mobility Innovations Center (QMIC)

Mehdi Bennis

Oulu University, Finland

Bharat Bhatia

ITU-APT Foundation of India

Ernesto Damiani

Khalifa University, UAE

Honggang Zhang

Zhejiang Lab, China

Title: The Establishment of NetGPT and Its Road to the Future

Abstract:
In response to the trend of mutual integration and collaborative evolution between the communication networks (e.g. 6G) and the booming Large Language Models (LLMs), this talk envisions and introduces the fundamental concept, general architecture and functionalities, newest representative progress, and recent specific practices on how to design and build up a LLMs-based telecommunication system, i.e., NetGPT. Moreover, by taking advantage of network-native AI, the relevant potential core technologies, key approaches & algorithms, as well as candidate networking models will be discussed for achieving the challenging goal of NetGPT.

Bio:
Dr. Honggang Zhang is the Chief Managing Editor of Intelligent Computing Journal, a Science Partner Journal jointly established by AAAS (American Association for the Advancement of Science) and Zhejiang Lab (https://spj.sciencemag.org/journals/icomputing/). He is an Adjunct Professor of College of Information Science and Electronic Engineering, Zhejiang University, China. He was an International Chair Professor, CominLabs Excellence Center, Université Européenne de Bretagne (UEB) & Supélec, France (2012-2014). He was an Honorary Visiting Professor of the University of York, UK (2010-2018).

Dr. Honggang Zhang served as the Chair of the Technical Committee on Cognitive Networks (TCCN) of the IEEE Communications Society (COMSOC) during 2011-2012. He was the Co-Chair of IEEE Globecom 2008 Symposium and IEEE ICC 2013 Symposium. He was the founding TPC Co-Chair of CrownCom 2006 (International Conference on Cognitive Radio Oriented Wireless Networks and Communications 2006) and the Steering Committee Member of CrownCom 2006-2009. He was the General Co-Chair of IEEE GreenCom 2010 (The 2010 IEEE International Conference on Green Computing and Communications) and the General Co-Chair of IEEE OnlineGreenComm 2015 (The 2015 IEEE Online Conference on Green Communications).

Dr. Honggang Zhang has been the Lead Guest Editor of the IEEE Communications Magazine feature topic issues on “Green Communications” (2010-2011). He was the Series Editor of IEEE Communications Magazine (Green Communications and Computing Networks Series). He is the co-editor/co-author of two books with the titles of “Cognitive Communications - Distributed Artificial Intelligence (DAI), Regulatory Policy & Economics, Implementation” (Wiley) and “Green Communications: Theoretical Fundamentals, Algorithms and Applications” (CRC Press), respectively.

Dr. Honggang Zhang is a co-recipient of the 2021 IEEE Communications Society Outstanding Paper Award and a co-recipient of the 2021 IEEE Internet of Things Journal (IoT-J) Best Paper Award.

Carlo FisChione

KTH Royal Institute of Technology, Sweden

Riku Jantti

Aalto University, Finland

Harald Haas

University of Strathclyde, UK

Zhiguo Ding

Khalifa University, UAE

Abdulmotaleb El Saddik

MBZUAI, UAE

Chris Hogg

NGMN Alliance

James Gross

KTH Royal Institute of Technology, Stockholm

Jean-Claude Belfiore

Huawei, France

Title: 6G needs a toposic view of AI : languages, spaces of semantic information, equivariance, learning by concepts and logic

Abstract:
Compared to humans and animals, “intelligent” machines are very slow to learn, require a large amount of data, do not understand what they are doing, make stupid mistakes, do not reason have no common sense. Moreover, how can we standardize techniques that give no guarantee, that cannot even be represented in a compact way. Energy consumption is also a main issue. All these drawbacks are critical for 6G. Is there a way to overcome them? All these issues are related to the absence of semantics in nowadays machine learning. Is it possible, for a new architecture of machine to learn as quickly as a baby? With very few data? To “understand”? To reason? We aim at giving some answers to these questions by developing a theoretical point of view and applying it to experiments to show the effectiveness of our theory. This theory is based on a mathematical notion proposed by Alexander Grothendieck in the 60’s, the notion of topos. I will present how this notion helped us to develop a new theory of semantic information, how a generalized notion of equivariance just corresponds, in the right topos, to regular functions, how it is possible to learn by concepts and approach the way a baby can learn and finally, how toposes are related to logics. All these aspects will be presented both theoretically and experimentally.

Bio:
Jean-Claude Belfiore graduated from Supelec, got his PhD from Telecom Paris and the Habilitation from Université Pierre et Marie Curie (UPMC). He has been a professor at Telecom Paris in the Communications & Electronics department until 2015. In 2015, he joined the Mathematical and Algorithmic Sciences Lab of Huawei as head of the Communication Science Department. Jean-Claude Belfiore has made pioneering contributions on modulation and coding for wireless systems (especially space-time coding) by using tools of number theory. He is also one of the co-inventors of the celebrated Golden Code of the Wi-Max standard. Jean-Claude Belfiore is author or co-author of more than 200 technical papers and communications and has served as advisor for more than 30 Ph.D. students. He was Associate Editor of the IEEE Transactions on Information Theory for Coding Theory and has been the recipient of the 2007 Blondel Medal. Since Jean-Claude Belfiore has joined Huawei Paris Research Center, he has been involved in the 5G standardization process, essentially in Channel Coding (Polar Codes for 5G) and he is currently working in the area of AI for 6G and semantic information. Since 2021 he is the director of the Huawei Advanced Wireless Technology Lab, Paris.

Fawzeya Al Ali

Spectrum Management Affairs - TDRA

Steven Griffiths

Senior Vice President, Research and Development
Professor of Practice
Khalifa University of Science and Technology, United Arab Emirates