TY - GEN
T1 - Gaussian ISI channels with mismatch
AU - Huleihel, Wasim
AU - Salamatian, Salman
AU - Merhav, Neri
AU - Medard, Muriel
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/8/9
Y1 - 2017/8/9
N2 - This paper considers the problem of channel coding over Gaussian intersymbol interference (ISI) channels with a given (possibly suboptimal) metric decoding rule. Specifically, it is assumed that the mismatched decoder has incorrect knowledge of the ISI coefficients (or, the impulse response function). The mismatch capacity is the highest achievable rate for a given decoding rule. Unfortunately, existing lower bounds to the mismatch capacity for multi-letter channels and decoding metrics (or, channels and decoding metrics with memory), as in our model, are presented only in the form of multi-letter expressions, and thus cannot be calculated in practice. In this paper, we derive a computable single-letter lower bound to the mismatch capacity, and discuss some implications of our results.
AB - This paper considers the problem of channel coding over Gaussian intersymbol interference (ISI) channels with a given (possibly suboptimal) metric decoding rule. Specifically, it is assumed that the mismatched decoder has incorrect knowledge of the ISI coefficients (or, the impulse response function). The mismatch capacity is the highest achievable rate for a given decoding rule. Unfortunately, existing lower bounds to the mismatch capacity for multi-letter channels and decoding metrics (or, channels and decoding metrics with memory), as in our model, are presented only in the form of multi-letter expressions, and thus cannot be calculated in practice. In this paper, we derive a computable single-letter lower bound to the mismatch capacity, and discuss some implications of our results.
UR - http://www.scopus.com/inward/record.url?scp=85034074156&partnerID=8YFLogxK
U2 - 10.1109/ISIT.2017.8007043
DO - 10.1109/ISIT.2017.8007043
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AN - SCOPUS:85034074156
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 2815
EP - 2819
BT - 2017 IEEE International Symposium on Information Theory, ISIT 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Symposium on Information Theory, ISIT 2017
Y2 - 25 June 2017 through 30 June 2017
ER -