Title :
Capacity of the Gaussian arbitrarily varying channel
Author :
Csiszár, Imre ; Narayan, Prakash
Author_Institution :
Math. Inst., Hungarian Acad. of Sci., Budapest, Hungary
fDate :
1/1/1991 12:00:00 AM
Abstract :
The Gaussian arbitrarily varying channel with input constraint Γ and state constraint Λ admits input sequences x=(x1,---,Xn) of real numbers with Σxi2⩽nΓ and state sequences s=(S1,---,sn ) of real numbers with Σsi2⩽nΛ; 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;
Journal_Title :
Information Theory, IEEE Transactions on