• 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