Title :
Noisy feedback improves the Gaussian channel reliability function
Author :
Burnashev, M.V. ; Yamamoto, Hiroshi
Author_Institution :
Inst. for Inf. Transm. Problems, Moscow, Russia
fDate :
June 29 2014-July 4 2014
Abstract :
For information transmission a discrete time channel with independent additive Gaussian noise is used. There is also a feedback channel with independent additive Gaussian noise, and the transmitter observes without delay all outputs of the forward channel via that noisy feedback channel. Transmission of nonexponential number of messages is considered and the achievable decoding error exponent for such a combination of channels is investigated. Transmission/decoding method used in the paper generalizes and strengthens the earlier method used by authors for BSC and Gaussian channel. It allows to improve essentially earlier results. In particular, for small feedback noise, it allows to gain 33.3% (instead of 23.6% in earlier papers).
Keywords :
AWGN channels; channel coding; decoding; feedback; BSC channel; Gaussian channel reliability function; decoding error exponent; decoding method; discrete time channel; independent additive Gaussian noise; information transmission; noisy feedback channel; nonexponential number; transmission method; transmitter; Decoding; Error probability; Information processing; Noise measurement; Receivers; Transmitters;
Conference_Titel :
Information Theory (ISIT), 2014 IEEE International Symposium on
Conference_Location :
Honolulu, HI
DOI :
10.1109/ISIT.2014.6875295