Séminaire ICI : Lele Wang
Titre du séminaire et oratrice
Advanced channel coding techniques for network communication.
Lele Wang (Stanford University)
Date et lieu
Lundi 30 avril 2018, 14h
ENSEA, salle 384
Next-generation wireless systems aim to enable order-of-magnitude increases in connectivity, capacity, and speed. Such a goal can be achieved in part by utilizing broader frequency bandwidth or deploying denser base stations. However, as the number of wireless devices is exploding, it is inevitable that multiple devices communicate over the same time and spectrum. Straightforward applications of point-to-point coding schemes are often fundamentally deficient for network communication. Consequently, how to improve spectral efficiency over shared spectrum becomes the key to future wireless communication. In this talk, I present two distinct approaches to achieve higher spectral efficiency. The first approach builds on existing point-to-point codes and proposes coding schemes that can achieve theoretically optimal rate region in network communication using single-user encoders and decoders. Through a case study in interference mitigation over cellular networks, I demonstrate a significant performance improvement upon existing interference mitigation techniques. The second approach explores novel families of low-complexity codes, such as the recently invented polar codes. A crucial property to enable the application of such novel codes in the wireless environment is universality, which requires the code to be robust under channel variation. I propose a universal polar coding technique, which alleviates the limitation of Arikan’s original channel-specific polar code design and achieves the optimal theoretical rate. In the end, I conclude by briefly discussing future research directions in emerging data science applications.
Lele Wang is an NSF Center for Science of Information (CSoI) postdoctoral researcher jointly with Stanford University and Princeton University. Before that, She was a postdoctoral researcher at Tel Aviv University and Stanford University. She received the Ph.D. degree in Communication Theory and Systems at the University of California, San Diego. As a member of the Academic Talent Program, she obtained the B.E. degree in Electrical Engineering at Tsinghua University. Her research interests include information theory, coding theory, and communication theory. She is a recipient of the 2013 UCSD Shannon Memorial Fellowship, the 2013-2014 Qualcomm Innovation Fellowship, and the 2017 NSF Center for Science of Information Postdoctoral Fellowship. Her Ph.D. thesis "Channel coding techniques for network communication" won the 2017 IEEE Information Theory Society Thomas M. Cover Dissertation Award.