• DocumentCode
    3067870
  • Title

    Algebraic constructions of graph-based nested codes from protographs

  • Author

    Kelley, Christine A. ; Kliewer, Jörg

  • Author_Institution
    Dept. of Math., Univ. of Nebraska-Lincoln, Lincoln, NE, USA
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    829
  • Lastpage
    833
  • Abstract
    Nested codes have been employed in a large number of communication applications as a specific case of superposition codes, for example to implement binning schemes in the presence of noise, in joint network-channel coding, or in physical-layer secrecy. Whereas nested lattice codes have been proposed recently for continuous-input channels, in this paper we focus on the construction of nested linear codes for joint channel-network coding problems based on algebraic photograph LDPC codes. In particular, over the past few years several constructions of codes have been proposed that are based on random lifts of suitably chosen base graphs. More recently, an algebraic analog of this approach was introduced using the theory of voltage graphs. In this paper we illustrate how these methods can be used in the construction of nested codes from algebraic lifts of graphs.
  • Keywords
    algebraic codes; channel coding; graph theory; linear codes; network coding; noise; parity check codes; algebraic protograph LDPC codes; base graphs; binning schemes; communication applications; continuous-input channels; graph-based nested lattice codes algebraic constructions; joint channel-network coding problems; nested linear codes; noise; physical layer secrecy; superposition codes; voltage graphs theory; Broadcasting; Computer networks; Floors; Lattices; Linear code; Mathematics; Network coding; Parity check codes; Relays; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-7890-3
  • Electronic_ISBN
    978-1-4244-7891-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2010.5513628
  • Filename
    5513628