• DocumentCode
    3531097
  • Title

    Maximum SNR transmit filtering for linear equalization in physical layer network coding

  • Author

    Schmidt, A. ; Gerstacker, W. ; Schober, Robert

  • Author_Institution
    Dept. of Mobile Commun., Univ. of Erlangen-Nurnberg, Erlangen, Germany
  • fYear
    2012
  • fDate
    3-7 Dec. 2012
  • Firstpage
    80
  • Lastpage
    84
  • Abstract
    We consider a two-way relaying system employing physical layer network coding (PNC) in channels suffering from frequency-selective fading. In order to mitigate the distortions introduced by the channel, a linear equalizer is used at the relay node. We introduce transmit filters that generate identical overall channel impulse responses for both source nodes, while achieving the maximum signal-to-noise ratio (SNR) for linear zero-forcing (ZF) and minimum mean-squared error (MMSE) equalization at the relay node. The performance gain of our novel approach is compared against a benchmark filtering scheme which also creates identical channel impulse responses to enable linear equalization at the relay.
  • Keywords
    benchmark testing; equalisers; fading channels; filtering theory; frequency selective surfaces; mean square error methods; network coding; relay networks (telecommunication); transient response; MMSE equalization; PNC; benchmark filtering scheme; channel equalizer; distortion mitigation; frequency-selective fading; identical channel impulse responses; identical overall channel impulse responses; linear ZF; linear equalization; linear equalizer; linear zero-forcing; maximum SNR transmit filtering; maximum signal-to-noise ratio; minimum mean-squared error equalization; performance gain; physical layer network coding; relay node; source nodes; two-way relaying system; Benchmark testing; Bit error rate; Equalizers; Network coding; OFDM; Relays; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Globecom Workshops (GC Wkshps), 2012 IEEE
  • Conference_Location
    Anaheim, CA
  • Print_ISBN
    978-1-4673-4942-0
  • Electronic_ISBN
    978-1-4673-4940-6
  • Type

    conf

  • DOI
    10.1109/GLOCOMW.2012.6477548
  • Filename
    6477548