• DocumentCode
    3029970
  • Title

    On the performance of two-way relaying with dirty paper coding

  • Author

    Bingquan Li ; Shuo Li ; Xiang Ji ; Jiqing Ni ; Chengwen Xing ; Zesong Fei

  • Author_Institution
    Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
  • fYear
    2012
  • fDate
    8-10 Aug. 2012
  • Firstpage
    135
  • Lastpage
    138
  • Abstract
    Recently two-way relaying has become a promising protocol. The design of the processing matrix of the two-way relay channel is of significant importance since it could dramatically influence the system performance. In this paper, we propose a nonlinear design of the relay processing matrix with dirty paper coding (DPC). And compared with the traditional linear schemes, it could amplify the useful signal and mitigate the impact of interference and noise. Moreover, the multi-user scenario, which is more common in the practice, is also taken into consideration. And based on different receive criterions DPC-ZF algorithm and DPC-MMSE algorithm are proposed. Simulation results show that both DPC-ZF and DPC-MMSE have a higher throughput and lower bit error ratio (BER) performance compared with the traditional AF algorithm and zero-forcing (ZF) algorithm.
  • Keywords
    encoding; error statistics; matrix algebra; radio networks; radiofrequency interference; BER performance; DPC-MMSE algorithm; DPC-ZF algorithm; bit error ratio; dirty paper coding; interference impact; noise impact; nonlinear design; relay processing matrix; two-way relay channel; two-way relaying performance; Matrix decomposition; dirty paper coding (DPC); multi-user scenarios; relay processing matrix; two-way relay;
  • 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.2012.6417463
  • Filename
    6417463