Introduction: Entropy, Notions of Typicality, Discrete Memoryless Channels
(DMCs), Shannon's Theorem, Feedback.
Multiple-Access Channels (MACs): System Models of MAC and Applications,
Capacity Region of Discrete Memoryless MACs, Gaussian MAC models.
Broadcast Channels (BC): System Model, Super Position Coding, Marton's
Inner Bound, Outer-bounds on BC Capacity, Capacity-region of Degraded BCs,
Multi-antenna (MIMO) BC, Dirty Paper Coding .
Interference Channels: Han Kobayashi region, Outer bounds to the Capacity-
region, Gaussian Interference Channel, Inteference Alignment and Degrees
Multi-terminal Source Coding: Lossless and Lossy Distributed Data
Compression -- models and Techniques, Multiple Descriptions, Successive
Network Information Flow: Relay Networks, Routing and multicast, Capacity
region for linear deterministic networks, Capacity approximation for
Gaussian relay networks. Network Coding and applications.
Optional Contents: Joint Source Channel Coding, Separation Theorem, Role
of Feedback in Networks.
A. El Gamal and Y. H. Kim, Network Information Theory, Cambridge
University Press, 2011.
Gerhard Kramer, Topics in Multi-user Information Theory, Now
Publishers Inc, 2008.
I. Csiszar and J. Korner, Information Theory: Coding Theorems for
Discrete Memoryless Systems, Elsevier, 2014, Third Edition.
T. Cover and J. A. Thomas, Elements of Information Theory, Wiley
Student Edition 2006, Second edition.