Wei Chen

Abstract:

Semantic communications is considered as a promising technology to increase the efficiency of next-generation communication systems, particularly targeting human-machine and machine-type communications. In contrast to the source-agnostic approach of conventional wireless communication systems, semantic communication seeks to ensure that only the relevant information for the underlying task is communicated to the receiver. Considering that most semantic communication applications have strict latency, bandwidth, and power constraints, a prominent approach is to model them as a joint source-channel coding (JSCC) problem. Although JSCC has been a long-standing open problem in communication and coding theory, remarkable performance gains have been shown recently over existing separate source and channel coding systems, particularly in low-latency and low-power scenarios. Recent progress is thanks to the adoption of deep learning techniques for joint source-channel code design that outperform the concatenation of state-of-the-art compression and channel coding schemes, which are results of decades-long research efforts. In this talk, I will introduce deep learning based JSCC (DeepJSCC) architecture for semantic communications, introduce its design principles and benefits, and highlight the GAP (Generalization, Adaptability, Practicality) between ideal and reality.

Biography:

Biography:

Wei Chen is currently a Professor with Beijing Jiaotong University, Beijing, China. He received the B.Eng. degree and M.Eng. degree from Beijing University of Posts and Telecommunications, China, in 2006 and 2009, respectively, and the Ph.D. degree in Computer Science from the University of Cambridge, UK, in 2013. Later, he was a Research Associate with the Computer Laboratory, University of Cambridge from 2013 to 2016. He is an IEEE Communication Society Distinguished Lecturer and an IEEE senior member. His current research interests include semantic communications, massive access, AL/ML for PHY and sparse signal processing.

Email:

Address:Beijing, China