TY - GEN
T1 - Two-Way AWGN Channel Error Exponents at Zero Rate
AU - Palacio-Baus, Kenneth
AU - Devroye, Natasha
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/15
Y1 - 2018/8/15
N2 - Achievable error exponent regions of a two-way additive white Gaussian noise (AWGN) channel, where two terminals exchange a fixed number of messages M, are derived. In particular, error exponent regions for M = 2 messages under expected power and M = 3 messages under almost sure power constraints are considered. For M = 2 messages the use of active feedback is shown to lead to an error exponent gain over that when feedback / interaction is ignored. For M = 3 messages and asymmetric channels, it is shown that the error exponent of the weaker channel may be improved through active feedback, at the expense of a decreased error exponent of the stronger direction. This may, for sufficiently asymmetric channel gains, outperform the error exponent region achieved by having both terminals operate independently of one another (ignoring the possibility of sending feedback for the other).
AB - Achievable error exponent regions of a two-way additive white Gaussian noise (AWGN) channel, where two terminals exchange a fixed number of messages M, are derived. In particular, error exponent regions for M = 2 messages under expected power and M = 3 messages under almost sure power constraints are considered. For M = 2 messages the use of active feedback is shown to lead to an error exponent gain over that when feedback / interaction is ignored. For M = 3 messages and asymmetric channels, it is shown that the error exponent of the weaker channel may be improved through active feedback, at the expense of a decreased error exponent of the stronger direction. This may, for sufficiently asymmetric channel gains, outperform the error exponent region achieved by having both terminals operate independently of one another (ignoring the possibility of sending feedback for the other).
UR - https://www.scopus.com/pages/publications/85052430676
U2 - 10.1109/ISIT.2018.8437797
DO - 10.1109/ISIT.2018.8437797
M3 - Contribución a la conferencia
AN - SCOPUS:85052430676
SN - 9781538647806
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 1685
EP - 1689
BT - 2018 IEEE International Symposium on Information Theory, ISIT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Symposium on Information Theory, ISIT 2018
Y2 - 17 June 2018 through 22 June 2018
ER -