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 =(x 1,---,X n) of real numbers with Σx i2⩽n Γ and state sequences s =(S 1,---,s n ) of real numbers with Σs i2⩽n Λ; the output sequence x +s +V , where V =(V 1,---,V n) 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
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