Talk 4 - Token Communications in AI-RAN: A Pathway towards Robust and Scalable AI Services
Singapore University of Technology and Design
Talk 4 - Token Communications in AI-RAN: A Pathway towards Robust and Scalable AI Services
Abstract
Token Communication is a emerging paradigm, where intelligent agents such as small and large language models and general-purpose robots are connected through fundamental AI processing units known as tokens. These discrete units are semantic information employed by foundation models. On the other hand, there is a recent trend to explore the concurrent use of converged computer-and-communications infrastructure to run RAN and AI workloads, enhancing platform utilization and creating new monetization opportunities. This concept is known as AI-Radio Access Network (AI-RAN), which natively implements AI-driven RAN functionalities, enabling site-specific RAN operations and improving KPIs. In this talk, we will provide an overview how token communication intersect with AI-RAN. Furthermore, we will also share some of our recent works in AI-RAN through Singapore’s Future Communications Research and Development Programme (FCP).
Biography
Tony Q.S. Quek received the B.E. and M.E. degrees in Electrical and Electronics Engineering from Tokyo Institute of Technology, respectively. At Massachusetts Institute of Technology, he earned the Ph.D. in Electrical Engineering and Computer Science. Currently, he is the Associate Provost (AI & Digital Innovation) and Cheng Tsang Man Chair Professor with Singapore University of Technology and Design (SUTD). He also serves as the Director of the Future Communications R\&D Programme, and the ST Engineering Distinguished Professor. He is a co-founder of Silence Laboratories and NeuroRAN. His current research topics include wireless communications and networking, network intelligence, non-terrestrial networks, open radio access network, AI-RAN, and 6G.
Dr. Quek was honored with the 2008 Philip Yeo Prize for Outstanding Achievement in Research, the 2012 IEEE William R. Bennett Prize, the 2015 SUTD Outstanding Education Awards -- Excellence in Research, 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 Professor, the 2022 IEEE Signal Processing Society Best Paper Award, the 2024 IIT Bombay International Award For Excellence in Research in Engineering and Technology, the IEEE Communications Society WTC Recognition Award 2024, and the Public Administration Medal (Bronze). He is an IEEE Fellow, a WWRF Fellow, an AIIA Fellow, a member of NAAI, and a Fellow of the Academy of Engineering Singapore.