演講題目：From 5G to 6G: Towards a Ubiquitous Network with Intelligent Air Interface

演  講  者：Dr. Chu-Hsiang (Sean) Huang, Qualcomm Inc., San Diego

時　　間：10:00~11:00, 2023/12/19 (Tuesday)

地　　點：清華大學台達館304室 (Delta Building R304, NTHU)

ABSTRACT

Fifth generation (5G) cellular communication system provides a flexible system architecture that enables wireless communication technology to penetrate different verticals and connect various devices. Since 5G devices began to appear in the market, we have seen connected systems implemented across multiple use cases in different scenarios, e.g., vehicular network, high speed train, broadcast, and even satellite communications. However, emerging application scenarios under different conditions and with diverse objectives bring new challenges to traditional wireless system design methodology, which mainly relies on abstract models to capture the environment accurately and develop algorithms accordingly. Applying machine learning to develop AI models applicable to various application scenarios becomes a promising direction for designing wireless communication systems. Therefore, creating a new generation of machine learning-based intelligent air interface, which can adapt to different conditions, is a key technology for successfully developing and deploying wireless communication systems to cover all the use cases envisioned by 5G, 6G, and beyond. In this presentation, we first explain how connected systems in different scenarios can be developed from the 5G system architecture. Then, we show how machine learning can help to develop AI models in various wireless communication system use cases, and the challenge to design an intelligent air interface leveraging the vast capability of machine learning methodology, to provide a promising vision to the future 6G systems.

BIOGRAPHY

Chu-Hsiang Huang received B.S. and M.S. degrees in Electrical Engineering from National Taiwan University, Taiwan in 2007 and 2009, respectively. and his Ph.D. degree in Electrical Engineering from University of California, Los Angeles in 2015. He is now with Qualcomm Technologies, Inc. as a RAN working group delegate for 3GPP Standard Organization. Besides representing Qualcomm in 3GPP standard meetings, he is working on product development projects including multi-user interference mitigation, energy efficient receiver and demodulation algorithm as a staff engineer. He was a research assistant for NTU-INTEL research center in Taiwan in 2010. His research interest includes robust inference on unreliable hardware, probabilistic graphical model and machine learning algorithm.