Keynotes

Integrated Communication-Sensing-Computing-Intelligence for 6G Wireless Networks Core Technologies

Zhang Haijun received his PhD from the joint training of Beijing University of Posts
and Telecommunications and King’s College London. He completed his postdoctoral
research at the University of British Columbia, Canada. Currently, he is a professor in
the Department of Computer and Communication Engineering at the University of
Science and Technology Beijing. His research direction is communication and
information systems, especially in intelligent 6G, sky-ground networks, and artificial
intelligence for next-generation wireless architectures. He also serves as the dean of
the School of Intelligent Science and Technology, a director of the China Electronics
Society, a director/fellow of the China Communications Society, a vice chairman of
the Youth Work Committee of the China Communications Society, and the director of
the Beijing University of Science and Technology-Sony China Joint Laboratory. He is
currently the chairman of the IEEE Green Communications and Computing Technical
Committee and an editorial board member of the IEEE Transactions on Network
Science and Engineering.
Professor Zhang is also a recipient of the National Outstanding Youth Fund, the IEEE
Communications Society Best Young Author Paper Award in 2017, the International
Union of Radio Science Young Scientist Award, the China Communications Society
Youth Science and Technology Award in 2018, the IEEE Communications Society
Asia-Pacific Most Outstanding Young Researcher Award in 2019, the China
Communications Society Natural Science First Prize in 2021, and the Beijing Youth
Science and Technology Award of the 2024 Mao Yisheng Science and Technology
Award. He is an IEEE Fellow and an AALA Fellow.

Future 6G wireless networks will possess the capability to perceive everything, requiring deep integration of key technologies such as communication, sensing, computing, and intelligence. This integration will form a 6G wireless network empowered by integrated communication, sensing, computing, and intelligence capabilities, ensuring flexible and stable transmission of massive, heterogeneous information data. This report will begin with the key technologies of integrated communication-sensing-computing-intelligence in 6G wireless networks, elaborating on how to achieve stable communication guarantees in network architecture, interference management, and multi-domain resource allocation. It will further facilitate effective organization and synergy among communication, sensing, computing, and intelligence resources in future 6G wireless networks, promoting deep convergence and mutual enhancement between future 6G wireless networks and the integrated communication-sensing-computing-intelligence paradigm.

Zhang Haijun

University of Science and Technology Beijing, China

Tony Q.S. Quek

Singapore University of Technology and Design (SUTD), Singapore

Unlocking the Potential of AI-RAN: A Pathway towards Future Network Intelligence

Tony Q.S. Quek received the BE and ME degrees in Electrical and Electronics Engineering respectively, from Tokyo Institute of Technology. At Massachusetts Institute of Technology, he earned the PhD in Electrical Engineering and Computer Science. Currently, he is the Cheng Tsang Man Chair Professor with Singapore University of Technology and Design (SUTD) and ST Engineering Distinguished Professor. He also serves as the Director of the Future Communications R&D Programme, the Head of ISTD Pillar, and the AI-on-RAN Working Group Chair in AI-RAN Alliance. He is currently serving as an Area Editor for the IEEE Transactions on Wireless Communications.

Dr. Quek received the 2008 Philip Yeo Prize for Outstanding Achievement in Research, the 2012 IEEE William R. Bennett Prize, the 2016 IEEE Signal Processing Society Young Author Best Paper Award, the 2017 CTTC Early Achievement Award, the 2017 IEEE ComSoc AP Outstanding Paper Award, the 2020 IEEE Communications Society Young Author Best Paper Award, the 2020 IEEE Stephen O. Rice Prize, the 2020 Nokia Visiting Professorship, the 2022 IEEE Signal Processing Society Best Paper Award, and the 2024 IIT Bombay International Award For Excellence in Research in Engineering and Technology. He is an IEEE Fellow, a WWRF Fellow, and a Fellow of the Academy of Engineering Singapore.

The RAN intelligent controller (RIC) is cloud native and a central component of a virtualized RAN network. The RIC enables to deployment of machine learning and AI techniques to optimize resources and services in the RAN. Thus, it is an important component that brings intelligence, agility, and programmability to the radio access network. On the other hand, there is a future trend to explore the concurrent use of converged computer-and-communications infrastructure to run RAN and AI and Generative AI workloads, enhancing platform utilization and creating new monetization opportunities. Lastly, it is crucial to understand the radio interface requirements for running AI and Generative AI applications across consumer, enterprise, and government sectors. In this talk, we will share about AI-RAN Alliance and how it plans to transform future networks with AI. Furthermore, we will also share some of our work in AI-RAN through Singapore’s Future Communications Research and Development Programme (FCP).