Video of 2011 Shannon Lecture
The video of the Shannon Lecture delivered at ISIT 2011 by Prof. Shlomo Shamai is available online at http://media.itsoc.org/isit2011/
Jan 27, 2012
The video of the Shannon Lecture Ìý"From Constrained Signaling to Network Interference Alignment via an Information-Estimation Perspective" byÌýShlomo Shamai. EE Dept. Technion-Israel Institute of Technology is available at
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Abstract
A subjective overview of selected topics in Information Theory, Communications, and Signal Processing will be presented taking an Information-Estimation perspective.
- We first review basic information-estimation (I-MMSE) relations andÌýproperties in Gaussian additive channels, and then address via thisÌýframework specific problems and results in:Ìý
- Nonlinear optimalÌýfiltering;Ìý
- Constrained signaling;Ìý
- Multi-terminal models, touching uponÌýbroadcast, interference, wiretap, and cognitive settings as wellÌýcellular networks of the Wyner type, and novel aspects of interferenceÌýalignment;Ìý
- Efficient codes for point-to-point, interference and relay channels;
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A statistical physics view of I-MMSE related relations, is shortly mentioned. So are, time permitting, different other applications motivated by the incremental channel decomposition, namely deterministic and random vector Gaussian channels, and the broadcasting strategy (variable-to-fixed channel coding).
Based on the overviewed framework, we emphasize specific researchÌýchallenges in these areas motivated by the information-estimationÌýperspective and close the lecture with an outlook examining generalÌýchannels and network information theoretic concepts.