• DocumentCode
    1629157
  • Title

    Network Coding for Two-Way Relay Channels using Lattices

  • Author

    Baik, Ihn-Jung ; Chung, Sae-Young

  • Author_Institution
    Sch. of EECS, KAIST, Daejeon
  • fYear
    2008
  • Firstpage
    3898
  • Lastpage
    3902
  • Abstract
    In this paper, we propose a network coding using a lattice for the two-way relay channel with two nodes communicating bidirectionally through a relay, which we call modulo-and- forward (MF). Our scheme extends the network coding in the binary channel to the Gaussian channel case, where XOR in the binary case is replaced by mod Lambda for the Gaussian case, where Lambda is a high-dimensional lattice whose shaping gain is close to optimal. If the relay node re-transmits the received signal after the mod Lambda operation, we can reduce the complexity compared to decode-and-forward (DF) and can get a better power efficiency compared to amplify-and-forward (AF). When the transmission powers of two nodes are different, we use superposition coding and partial decoding at the relay node. Finally, we plot and compare the sum rates of three different schemes, i.e., AF, DF, and MF. We show that by applying the proposed scheme, we can get better performance than AF and DF schemes under some conditions.
  • Keywords
    Gaussian channels; channel coding; decoding; relays; Gaussian channel; XOR; bidirectional communication; high-dimensional lattice; lattices; mod Lambda operation; modulo-and- forward relay; network coding; partial decoding; superposition coding; two-way relay channels; Communications Society; Decoding; Gaussian channels; Gaussian noise; Lattices; Network coding; Peer to peer computing; Relays; Transmitters; Zirconium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2008. ICC '08. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2075-9
  • Electronic_ISBN
    978-1-4244-2075-9
  • Type

    conf

  • DOI
    10.1109/ICC.2008.732
  • Filename
    4533768