EE6142 Advanced Topics in Communications (Jul-Nov 2014)

Instructor

Srikrishna Bhashyam
Office: ESB 212D
Phone: 2257 4439

Pre-requisites
Information Theory

Course Content

• Review of Information measures: Entropy, differential entropy, some inequalities
• Typical sequences: robust typicality, strong typicality, and weak typicality, properties of robustly typical sequences, joint typicality lemma
• Review of point-to-point information theory: Discrete memoryless (DM) channels, packing lemma, capacity with input cost, Gaussian channel, Lossless and lossy source coding, covering lemma
• Multiple access channels (MAC): DM-MAC, Gaussian MAC
• Degraded Broadcast channels (BCs): DM-BC, Less noisy and More capable BCs
• Interference channels (IC): DM-IC, Gaussian IC, Han-Kobayashi inner bound, Approximate capacity of Gaussian IC
• Channels with state: Dirty paper coding
• Gaussian vector channels: Gaussian vector point-to-point channel, Gaussian vector MAC, Gaussian vector BC, Dirty paper coding
• Distributed lossless compression: Slepian-Wolf theorem

References
[1] A. El Gamal, Y-H. Kim, Network Information Theory, Cambridge University Press, 2011.
[2] G. Kramer, Topics in Multi-user information theory, Foundations and Trends in Communications and Information Theory, Now Publications, 2008.

Problem Sets
Problem Set 1

Evaluation
Quiz 1 (20%) -- Sep 5, 2014, Solutions
Final (40%) -- Nov 27, 2014
Project (40%)