EE 376B/Stats 376B - Network Information Theory

Course Description

Network information theory deals with the fundamental limits on information flow in networks and the optimal coding schemes that achieve these limits. It aims to extend Shannon's point-to-point information theory and the Ford-Fulkerson max-flow min-cut theorem to networks with multiple sources and destinations. The course presents the basic results and tools in the field in a simple and unified manner. Topics covered include: multiple access channels, broadcast channels, interference channels, channels with state, distributed source coding, network coding, relay channels, interactive communication, and noisy network coding.


We decided to move the class to Packard 214 starting next Tuesday Sept 30. The lectures will be at the same days and time (TTh 11-12:15).