• DocumentCode
    1408606
  • Title

    Capacity of the Gaussian arbitrarily varying channel

  • Author

    Csiszár, Imre ; Narayan, Prakash

  • Author_Institution
    Math. Inst., Hungarian Acad. of Sci., Budapest, Hungary
  • Volume
    37
  • Issue
    1
  • fYear
    1991
  • fDate
    1/1/1991 12:00:00 AM
  • Firstpage
    18
  • Lastpage
    26
  • Abstract
    The Gaussian arbitrarily varying channel with input constraint Γ and state constraint Λ admits input sequences x=(x1,---,Xn) of real numbers with Σxi2nΓ and state sequences s=(S1,---,sn ) of real numbers with Σsi2nΛ; the output sequence x+s+V, where V=(V1,---,Vn) is a sequence of independent and identically distributed Gaussian random variables with mean 0 and variance σ2. It is proved that the capacity of this arbitrarily varying channel for deterministic codes and the average probability of error criterion equals 1/2 log (1+Γ/(Λ+σ2)) if Λ<Γ and is 0 otherwise
  • Keywords
    channel capacity; information theory; Gaussian arbitrarily varying channel; average probability of error; channel capacity; deterministic codes; input constraint; input sequences; output sequence; state constraint; Automatic voltage control; Capacity planning; Channel capacity; Communication channels; Information theory; Interference; Mutual information; Random variables; Sufficient conditions; Upper bound;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.61125
  • Filename
    61125