• DocumentCode
    3663240
  • Title

    Polar coding for empirical and strong coordination via distribution approximation

  • Author

    Rémi A. Chou;Matthieu R. Bloch;Jörg Kliewer

  • Author_Institution
    School of Electrical and Computer Engineering, Georgia Institute of Technology, USA
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1512
  • Lastpage
    1516
  • Abstract
    We design low-complexity polar codes for empirical and strong coordination in two-node network. Our constructions hinge on the observation that polar codes may be used to approximate distribution; which we leverage to prove that nested polar codes achieve the capacity region of empirical coordination and strong coordination.
  • Keywords
    "Encoding","Joints","Random variables","Decoding","Approximation methods","Convergence","Probability distribution"
  • Publisher
    ieee
  • Conference_Titel
    Information Theory (ISIT), 2015 IEEE International Symposium on
  • Electronic_ISBN
    2157-8117
  • Type

    conf

  • DOI
    10.1109/ISIT.2015.7282708
  • Filename
    7282708
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3663240