• DocumentCode
    2436787
  • Title

    Capacity regions for some classes of Causal Cognitive Interference Channels with delay

  • Author

    Mirmohseni, Mahtab ; Akhbari, Bahareh ; Aref, Mohammad Reza

  • Author_Institution
    Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
  • fYear
    2010
  • fDate
    Aug. 30 2010-Sept. 3 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we investigate Causal Cognitive Interference Channel (CC-IFC) with delay in which the cognitive user transmission can depend on L future received symbols as well as the past ones. We study two special cases: CC-IFC without delay (L = 1), where the cognitive user can use only current and past received symbols, and CC-IFC with a block length delay (L = n), wherein the entire received sequence can be used. In each case, we obtain an inner bound on the capacity region. Our coding schemes are based on the generalized block Markov superposition coding and instantaneous relaying for CC-IFC without delay, and non-causal partial Decode-and-Forward (DF) for CC-IFC with a block length delay. Further, providing converse proofs, we show that the derived inner bounds are tight in some cases. Hence, we characterize the capacity regions for the classes of degraded and semi-deterministic CC-IFC without delay and CC-IFC with a block length delay, under strong interference conditions.
  • Keywords
    Markov processes; block codes; causality; channel capacity; channel coding; cognitive radio; interference (signal); block length delay; causal cognitive interference channel; channel capacity region; cognitive user transmission; generalized block Markov superposition coding; instantaneous relaying; noncausal partial decode-and-forward method; semideterministic CC-IFC; Decoding; Delay; Encoding; Interference channels; Joints; Markov processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop (ITW), 2010 IEEE
  • Conference_Location
    Dublin
  • Print_ISBN
    978-1-4244-8262-7
  • Electronic_ISBN
    978-1-4244-8263-4
  • Type

    conf

  • DOI
    10.1109/CIG.2010.5592689
  • Filename
    5592689