EE 87027 - Network Information Theory

Institution:

University of Notre Dame

Subject:

Electrical Engineering

Description:

Network information theory deals with the fundamental limits of information transmission over networks and optimal coding techniques that achieve these limits. It extends Shannon's point-to-point information theory to networks with multiple sources and destinations. The course aims to present key results and techniques in the theory. Topics include point-to-point systems (Shannon's channel coding theorem and rate distortion theory), single-hop networks (multiple access channels, broadcast channels, interference channels, channels with state, Gaussian fading channels, distributed lossless source coding, multiple description coding, joint source-channel coding), and multi-hop networks (Ford-Fulkerson max-flow min-cut theorem, noiseless networks and network coding, relay channels, capacity of large Gaussian networks, source coding over noiseless networks). Students should have taken a graduate level class in probability theory/stochastic processes (e.g., EE 60563/EE 60573). Prior exposure to information theory is recommended although not necessary.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.nd.edu

Phone Number:

(574) 631-5000

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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