• DocumentCode
    2365735
  • Title

    Faster than Nyquist broadcast signaling

  • Author

    Kim, Yong Jin Daniel ; Bajcsy, Jan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McGill Univ., Montréal, QC, Canada
  • fYear
    2012
  • fDate
    28-29 May 2012
  • Firstpage
    186
  • Lastpage
    189
  • Abstract
    In this work, we propose using Faster than Nyquist (FTN) signaling to achieve transmission over continuous-time Gaussian broadcast channel. In the FTN broadcasting, different users´ messages are completely separated in the coding stage; hence removing the joint encoding that is typically needed in the previously proposed broadcast channel coding schemes. Furthermore, users´ data symbols are explicitly and separately transmitted over the channel using the FTN signaling; thus, alleviating the definition of auxiliary random variables used in the broadcast channel coding theorems. This work shows that the FTN broadcast signaling allows achieving the capacity boundaries of the Gaussian broadcast channel. This implies that FTN can be a viable alternative to the standard capacity-achieving techniques considered in discrete-time Gaussian broadcast channel, i.e., superposition coding and dirty paper coding.
  • Keywords
    Gaussian channels; broadcast channels; channel coding; FTN broadcasting; Nyquist broadcast signaling; auxiliary random variable; broadcast channel coding scheme; continuous-time Gaussian broadcast channel; dirty paper coding; discrete-time Gaussian broadcast channel; joint encoding; standard capacity-achieving technique; superposition coding; user data symbols; user message; Broadcasting; Channel coding; Covariance matrix; Random variables; Receivers; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (QBSC), 2012 26th Biennial Symposium on
  • Conference_Location
    Kingston, ON
  • Print_ISBN
    978-1-4673-1113-7
  • Electronic_ISBN
    978-1-4673-1112-0
  • Type

    conf

  • DOI
    10.1109/QBSC.2012.6221379
  • Filename
    6221379