• DocumentCode
    3131928
  • Title

    Code design for very noisy relay channels

  • Author

    Suthisopapan, Puripong ; Kasai, Kenta ; Meesomboon, Anupap ; Imtawil, Virasit ; Sakaniwa, Kohichi

  • Author_Institution
    Dept. of Electr. Eng., Khon Kaen Univ., Khon Kaen, Thailand
  • fYear
    2012
  • fDate
    1-6 July 2012
  • Firstpage
    930
  • Lastpage
    934
  • Abstract
    From an information-theoretic point of view, it is well known that the capacity of relay channel comprising of three terminals is much more than that of two terminal direct channel especially for low SNRs. Previously invented relay coding strategies have not been designed to achieve this enormous capacity occurring in the low SNR region. In this paper, we propose a simple coding strategy for a relay channel with low SNRs or, equivalently, for a very noisy relay channel. The multiplicative repetition is utilized to design this simple coding strategy. We claim that the proposed strategy is simple since the destination and the relay can decode with almost the same computational complexity by sharing the same structure of decoder. An appropriate static power allocation which yields the maximum throughput close to the optimal one in low SNRs is suggested. Under practical constraints such as equal time-sharing etc., the asymptotic performance of this simple strategy is within 0.5 dB from the achievable rate of relay channel. Furthermore, the performance at short code lengths enjoys a relaying gain by approximately 1.4 dB.
  • Keywords
    channel capacity; channel coding; computational complexity; decoding; relays; SNR; computational complexity; decoding; gain 0.5 dB; information-theory; multiplicative repetition; relay channel capacity; short code length; static power allocation; very noisy relay channel code design; Decoding; Encoding; Noise measurement; Parity check codes; Relays; Resource management; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • ISSN
    2157-8095
  • Print_ISBN
    978-1-4673-2580-6
  • Electronic_ISBN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2012.6284699
  • Filename
    6284699