• DocumentCode
    3065677
  • Title

    Multi-source noisy network coding

  • Author

    Lim, Sung Hoon ; Kim, Young-Han ; El Gamal, Abbas ; Chung, Sae-Young

  • Author_Institution
    Dept. of EE, KAIST, Daejeon, South Korea
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    604
  • Lastpage
    608
  • Abstract
    Noisy network coding unifies network coding by Ahlswede, Cai, Li, and Yeung for noiseless networks and compress-forward by Cover and El Gamal for noisy relay channels. In particular, it achieves the best known capacity inner bounds for multi-source multicast networks including deterministic networks by Avestimehr, Diggavi, and Tse and erasure networks by Dana, Gowaikar, Palanki, Hassibi, and Effros. This paper extends noisy network coding for multicast networks to networks with general message demand by combining the underlying noisy network coding scheme with decoding techniques for interference channels. At one extreme, noisy network coding is combined with simultaneous decoding, while at the other extreme interference is treated as noise. The potential of noisy network coding as a canonical building block for wireless networks is demonstrated via three examples of Gaussian networks that have drawn recent attentions.
  • Keywords
    Gaussian channels; adjacent channel interference; multicast communication; network coding; radio networks; relays; source coding; El Gamal; Gaussian network; canonical building block; interference channel; multicast networks; multisource noisy network coding; noiseless network; noisy relay channel; wireless network; Decoding; Gaussian noise; Interference channels; Network coding; Relays; Wireless networks;
  • 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.2010.5513536
  • Filename
    5513536