DocumentCode
2521557
Title
Playing games: A fresh look at rate and capacity regions
Author
Madiman, Mokshay
Author_Institution
Dept. of Stat., Yale Univ., New Haven, CT
fYear
2008
fDate
6-11 July 2008
Firstpage
2528
Lastpage
2532
Abstract
Notions from cooperative game theory arise in a very natural way in connection with the study of rate and capacity regions for many important problems. Furthermore, (i) game theory clarifies the fundamental structural connection between rate regions and information inequalities, and (ii) the interpretation of these regions in terms of users that are thought of as players in a cooperative game is of intrinsic value. Both these aspects are illustrated in a variety of settings, including Slepian-Wolf compression and Gaussian multiple access channels.
Keywords
Gaussian channels; channel capacity; game theory; Gaussian multiple access channels; Slepian-Wolf compression; capacity regions; cooperative game theory; fundamental structural connection; information inequalities; rate regions; Cost function; Cramer-Rao bounds; Data compression; Encoding; Entropy; Fingers; Game theory; Information theory; Robustness; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2008. ISIT 2008. IEEE International Symposium on
Conference_Location
Toronto, ON
Print_ISBN
978-1-4244-2256-2
Electronic_ISBN
978-1-4244-2257-9
Type
conf
DOI
10.1109/ISIT.2008.4595447
Filename
4595447
Link To Document