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  4. Randomization bounds on Gaussian arbitrarily varying channels
 
conference paper

Randomization bounds on Gaussian arbitrarily varying channels

Sarwate, Anand D.
•
Gastpar, Michael  
2006
2006 IEEE International Symposium on Information Theory
IEEE International Symposium on Information Theory

The random coding capacity of the Gaussian arbitrarily varying channel (GAVC) under a maximal probability of error criterion is equal to that of an additive white Gaussian noise (AWGN) channel with the interference power as additional noise. The deterministic coding capacity under an average probability of error criterion is zero if the transmitter power does not exceed the interference power. We show that the random coding capacity for average probability error is the same as that for maximal probability of error and that the randomization need only be over a sub-exponential number of codebooks. The achievable error exponent is related to the amount of randomization. An application of these results to the degraded broadcast channel is discussed.

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Type
conference paper
DOI
10.1109/ISIT.2006.261933
Web of Science ID

WOS:000245289704043

Author(s)
Sarwate, Anand D.
Gastpar, Michael  
Date Issued

2006

Publisher

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa

Published in
2006 IEEE International Symposium on Information Theory
ISBN of the book

978-1-4244-0505-3

Start page

2161

End page

2165

Subjects

Exponential Error-Bounds

•

Random Codes

•

Capacity

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
LINX  
Event nameEvent placeEvent date
IEEE International Symposium on Information Theory

Seattle, WA

Jul 09-14, 2006

Available on Infoscience
October 17, 2011
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/71690
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