Dr. Taesang Yoo of Qualcomm Research in San Diego, CA, USA

AI/ML is poised to significantly influence the future of 6G technology. Their integration into the Radio Access Network (RAN) and devices is expected to enhance spectral efficiency, coverage, and energy efficiency. Innovations such as AI-native air interface and AI-driven RAN Digital Twin modeling are already impacting 5G systems and laying the groundwork for 6G.

In this presentation, we will explore the role of AI/ML in the evolution of 5G and 6G Air Interface Standards. We will present AI/ML use cases currently being studied or specified in 5G-Advanced 3GPP Air Interface Standards, including channel state feedback, channel prediction, beam prediction, precise positioning, and mobility enhancement, as well as general frameworks for one-sided and two-sided models. Additionally, we will discuss the opportunities AI/ML presents for the 6G Air Interface and highlight select use cases.

Biography:

Dr. Taesang Yoo is a Senior Director of Technology at Wireless R&D Qualcomm Research in San Diego, CA, USA. He leads Qualcomm's wireless AI/ML R&D for 5G/6G system design and 3GPP Air-Interface standards. With over 18 years of experience at Qualcomm, Taesang has made significant contributions across various domains, including MIMO design and standards, advanced receiver algorithms, and wireless AI/ML algorithms and 3GPP standardization. His expertise spans wireless communications, machine learning, deep learning, and signal processing. Taesang Yoo has authored more than 30 journal and conference papers and holds over 300 US granted patents and over 2000 internationally. He received his B.S. (Hons.) in electrical engineering from Seoul National University, Korea, and his M.S. and Ph.D. degrees in electrical engineering from Stanford University, California.

Address:Qualcomm Research, , San Diego, CA, United States