• DocumentCode
    3029734
  • Title

    Detection algorithms for physical network coding

  • Author

    Chengkang Pan ; Jianjun Liu ; Zhenping Hu

  • Author_Institution
    China Mobile Res. Inst., Beijing, China
  • fYear
    2012
  • fDate
    8-10 Aug. 2012
  • Firstpage
    63
  • Lastpage
    67
  • Abstract
    This paper investigates multi-user detection (MUD) as well as virtual single-user detection (VSUD) for denoising-based physical network coding in two-way relay channels. In MUD, the two source messages are detected separately and then mapped into a relaying message. In VSUD, the relaying message is obtained directly by detecting the received signal. Maximum likelihood (ML) algorithm and linear algorithms are considered for both single-antenna case and multi-antenna case with and without transmit power and phase control. Suboptimal detection algorithms with lower complexity are also proposed for VSUD. Simulation results show that ML VSUD can achieve better BER performance than ML MUD. The proposed detection algorithms can achieve similar BER performance to ML VSUD .
  • Keywords
    antenna arrays; channel coding; maximum likelihood decoding; network coding; phase control; telecommunication control; BER performance; ML VSUD; MUD; detection algorithms; linear algorithms; maximum likelihood algorithm; multiantenna case; multiuser detection; phase control; physical network coding; relaying message; single-antenna case; single-user detection; source messages; Bit error rate; Detection algorithms; Detectors; Multiuser detection; Network coding; Phase control; Relays; physical network coding; two-way relay channel; virtual single-user detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Networking in China (CHINACOM), 2012 7th International ICST Conference on
  • Conference_Location
    Kun Ming
  • Print_ISBN
    978-1-4673-2698-8
  • Electronic_ISBN
    978-1-4673-2697-1
  • Type

    conf

  • DOI
    10.1109/ChinaCom.2012.6417449
  • Filename
    6417449