• DocumentCode
    2984731
  • Title

    Capacity of compound state-dependent channels with states known at the transmitter

  • Author

    Piantanida, Pablo ; Shamai, Shlomo

  • Author_Institution
    Dept. of Telecommun., SUPELEC, Gif-sur-Yvette, France
  • fYear
    2009
  • fDate
    June 28 2009-July 3 2009
  • Firstpage
    1968
  • Lastpage
    1972
  • Abstract
    The problem of sending information over compound state-dependent channels with non-causal state information available at only the transmitter is investigated. We prove a coding theorem and its strong converse establishing the capacity of this scenario for the case of discrete memoryless channels. Specific results are derived for additive white Gaussian noise channels corrupted by an additive Gaussian interference which is available at the transmitter only. We focus on the case where such interference may be absent on the channel, but the transmitter is unaware of this. Applications of the compound channels with non-causal state information arise in the context of multicast and cognitive radio channels, broadcast channels with imperfect channel knowledge and robust dirty-paper coding.
  • Keywords
    AWGN channels; channel capacity; cognitive radio; encoding; multicast communication; telecommunication channels; wireless channels; additive Gaussian interference; additive white Gaussian noise channel; broadcast channels; coding theorem; cognitive radio channel; compound state dependent channel; discrete memoryless channel; imperfect channel knowledge; multicast channel; noncausal state information; robust dirty paper coding; AWGN; Additive noise; Additive white noise; Broadcasting; Codes; Cognitive radio; Interference; Monte Carlo methods; Radio transmitters; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2009. ISIT 2009. IEEE International Symposium on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-4312-3
  • Electronic_ISBN
    978-1-4244-4313-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2009.5205682
  • Filename
    5205682