Multi-User Information Theory

Lecture Notes

Lecture 1: Method of types, Sanov Theorem. [pdf] [source]
Lecture 2: Degraded (physical and stochastic) Broadcast channel. [pdf]
Lecture 2: Genreal Broadcast channel - Marton Region. [pdf]
Lecture on Gaussian Broadcast channel and Entropy Power Inequality (EPI) [pdf]
Lecture on Binary Broadcast Channel [pdf]
Lecture on BC with degraded message set, general upper bound for BC, semi determinstic BC [pdf]
Lecture on source coding - Slepian-Wolf and Wyner-Ziv [pdf]
Lecture on statistical physics and relation to information theory by Dror Vinkler [pdf]

Lectures on Interference Channel (IC): Lecture 1, defining the model and solving the cognitive IC [pdf]
Lectures on Interference Channel (IC): Lecture 2, Weak and Strong Interference [pdf]
Lectures on Interference Channel (IC): Lecture 3, Han-Kobayash achievability [pdf]