• DocumentCode
    1982856
  • Title

    Anti error propagation methods for wireless uplink using network coding

  • Author

    Wei Guan ; Liu, K.J.R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Maryland, College Park, MD, USA
  • fYear
    2012
  • fDate
    3-7 Dec. 2012
  • Firstpage
    3754
  • Lastpage
    3759
  • Abstract
    Wireless network coding suffers the error propagation issues that may severely degrade the diversity performance. In this work, we develop two power scaling schemes at the relay side and two detection schemes at the receiver side, respectively, to mitigate error propagation in network-coded uplink channel and thus achieve full diversity. For the soft power scaling based link adaptive relaying, we develop a virtual channel model and demonstrate that the relay power should be such to balance the signal-to-noise ratios of the source-relay channel and relay-destination channel. As for the hard power scaling based ON-OFF relaying, we first design a decision rule based on total pairwise error probability, and then simplifies it to the threshold-based relaying strategy. At the receiver side, we show that the weighted minimum distance detection with the weight being determined by the relative link quality of source-relay channel and relay-destination channel can achieve full diversity once the global channel state information is available, otherwise the maximum likelihood detection that explicitly takes into account relay decoding error should be employed to achieve full diversity.
  • Keywords
    diversity reception; network coding; radio links; relay networks (telecommunication); antierror propagation method; decision rule; diversity performance; global channel state information; link adaptive relaying; maximum likelihood detection; network-coded uplink channel; on-off relaying; pairwise error probability; power scaling scheme; relay decoding error; relay-destination channel; signal-to-noise ratio; soft power scaling; source-relay channel; threshold-based relaying strategy; virtual channel model; weighted minimum distance detection; wireless network coding; wireless uplink;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2012 IEEE
  • Conference_Location
    Anaheim, CA
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4673-0920-2
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2012.6503701
  • Filename
    6503701