• DocumentCode
    1779579
  • Title

    Achieving Marton´s region for broadcast channels using polar codes

  • Author

    Mondelli, Marco ; Hassani, S. Hamed ; Urbanke, Rudiger ; Sason, Igal

  • Author_Institution
    Sch. of Comput. & Commun. Sci., EPFL, Lausanne, Switzerland
  • fYear
    2014
  • fDate
    June 29 2014-July 4 2014
  • Firstpage
    306
  • Lastpage
    310
  • Abstract
    We present polar coding schemes for the 2-user discrete memoryless broadcast channel (DM-BC) which achieve Marton´s region with both common and private messages. This is the best achievable rate region up to date, and it is tight for all classes of 2-user DM-BCs whose capacity regions are known. Due to space limitations, this paper describes polar codes for the superposition strategy. The scheme for the achievability of Marton´s region is presented in the longer version [1], and it is based on a combination of superposition coding and binning. We follow the lead of the recent work by Goela, Abbe, and Gastpar, who introduce polar codes emulating these two information-theoretic techniques. In order to align the polar indices, for both schemes, their solution involves some degradedness constraints that are assumed to hold between the auxiliary random variables and the channel outputs. To remove these constraints, we consider the transmission of k blocks, and employ chaining constructions that guarantee the proper alignment of polarized indices. The techniques described in this work are quite general, and they can be adopted in many other multi-terminal scenarios whenever there is the need for the aligning of polar indices.
  • Keywords
    broadcast channels; channel capacity; channel coding; decoding; 2-user discrete memoryless broadcast channel; DM-BC; Marton´s region; auxiliary random variables; binning; capacity regions; chaining constructions; channel outputs; common messages; multiterminal scenarios; polar coding schemes; polar indices; polarized indices; private messages; superposition coding; superposition strategy; Decoding; Encoding; Error probability; Random variables; Receivers; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory (ISIT), 2014 IEEE International Symposium on
  • Conference_Location
    Honolulu, HI
  • Type

    conf

  • DOI
    10.1109/ISIT.2014.6874844
  • Filename
    6874844