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. 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 transform 5G technology towards 6G. In this tutorial, 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. I will share my personal career experiences, as an engineer from industry turning back to academia, in the second part of the talk.

Bio.

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 National Taiwan University (NTU) as an assistant professor. Before join NTU, he was working in 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 for Qualcomm flagship modems as a senior staff engineer. He was a research assistant for NTU-INTEL research center in Taiwan in 2010. His research interest includes next generation wireless communication system design, communication system standardization, artificial intelligence and machine learning, statistical communication theory .

All faculty and students are welcome to join.