• DocumentCode
    3066623
  • Title

    Capacity Theorems for the AWGN multi-way relay channel

  • Author

    Ong, Lawrence ; Kellett, Christopher M. ; Johnson, Sarah J.

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Univ. of Newcastle, Newcastle, NSW, Australia
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    664
  • Lastpage
    668
  • Abstract
    The L-user additive white Gaussian noise multi-way relay channel is considered, where multiple users exchange information through a single relay at a common rate. Existing coding strategies, i.e., complete-decode-forward and compress-forward are shown to be bounded away from the cut-set upper bound at high signal-to-noise ratios (SNR). It is known that the gap between the compress-forward rate and the capacity upper bound is a constant at high SNR, and that between the complete-decode-forward rate and the upper bound increases with SNR at high SNR. In this paper, a functional-decode-forward coding strategy is proposed. It is shown that for L ≥ 3, complete-decode-forward achieves the capacity when SNR ≤ 0 dB, and functional-decode-forward achieves the capacity when SNR ≥ 0 dB. For L = 2, functional-decode-forward achieves the capacity asymptotically as SNR increases.
  • Keywords
    AWGN channels; channel capacity; channel coding; AWGN multiway relay channel capacity theorems; L-user additive white Gaussian noise multiway relay channel; capacity upper bound; complete-decode-forward rate coding strategy; compress-forward rate coding strategy; cut-set upper bound; functional-decode-forward coding strategy; high signal-to-noise ratio; single relay; AWGN; Additive white noise; Broadcasting; Computer science; Decoding; Downlink; Gaussian noise; Relays; Signal to noise ratio; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-7890-3
  • Electronic_ISBN
    978-1-4244-7891-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2010.5513576
  • Filename
    5513576