AI-Native RAN-based Terminal-Edge-Cloud collaboration towards 6G

  • Corresponding Author Information
    Tony Q.S. Quek, Singapore University of Technology and Design, Singapore

    Tony Q.S. Quek (S'98-M'08-SM'12-F'18) received the B.E. and M.E. degrees in electrical and electronics engineering from the Tokyo Institute of Technology in 1998 and 2000, respectively, and the Ph.D. degree in electrical engineering and computer science from the Massachusetts Institute of Technology in 2008. 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 Deputy Director of the SUTD-ZJU IDEA. His current research topics include wireless communications and networking, network intelligence, non-terrestrial networks, open radio access network, and 6G.

  • Speaker 1: Qingtian Wang, China Telecom, China
  • Presentation Title: What’s will AI-Native RAN do for the upcoming 6G?

    Qingtian Wang received the Ph.D. degree from Beijing University of Posts and Telecommunications, Beijing, China, in 2020.,He is a Senior Research Engineer with the 6G Research Center, China Telecom Research Institute, Beijing. He also serves as the Co-Chair of the Next Generation Research Group, O-RAN. His current research is on AI-Native RAN, intelligence network, native AI, programmable RAN, LEO, Internet of Things, and 6G.


  • Speaker 2: Chengyu Liu, China Telecom, China
  • Presentation Title: High-quality dataset construction for wireless AI

    Chengyu Liu received the master's degree from the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications in 2014. He is currently a research engineer at China Telecom Research Institute, specializing in wireless networks and data intelligentization. Previously, he had over 10 years of research and development experience in 4G and 5G network architectures, RAN cloudification technologies, and high-performance software. His current interests lie in the convergence of cloud technology, AI and RAN.


  • Speaker 3: Longyu Zhou, Singapore University of Technology and Design, Singapore
  • Presentation Title: Towards Intelligent and scalable systems for low-altitude 6G UAV Networks

    Longyu Zhou received the Ph.D degree with a MD-PhD program in the School of Information and Communication Engineering from University of Electronic Science and Technology of China (UESTC) in 2023. He is currently a Research Fellow working in Information Systems Technology and Design Pillar at Singapore University of Technology and Design. He also worked in Embedded Systems (ES) group, Delft University of Technology, the Netherlands, as a visiting Ph.D.. His interests include Digital Twins, AI-RAN, and UAV networks.