Yavas, Recep Can and Kostina, Victoria and Effros, Michelle (2021) Variable-length Feedback Codes with Several Decoding Times for the Gaussian Channel. In: 2021 IEEE International Symposium on Information Theory. IEEE , Piscataway, NJ, pp. 1883-1888. ISBN 978-1-5386-8209-8. https://resolver.caltech.edu/CaltechAUTHORS:20210329-152031630
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Abstract
We investigate variable-length feedback (VLF) codes for the Gaussian point-to-point channel under maximal power, average error probability, and average decoding time constraints. Our proposed strategy chooses K < ∞ decoding times n₁,n₂,…,n_K rather than allowing decoding at any time n = 0,1,2,…. We consider stop-feedback, which is one-bit feedback transmitted from the receiver to the transmitter at times n₁,n₂,… only to inform her whether to stop. We prove an achievability bound for VLF codes with the asymptotic approximation ln M ≈ NC(P)/1−ϵ − √N ln_((K−1))(N)V(P)/1−ϵ, where ln_((K))(⋅) denotes the K-fold nested logarithm function, N is the average decoding time, and C(P) and V(P) are the capacity and dispersion of the Gaussian channel, respectively. Our achievability bound evaluates a non-asymptotic bound and optimizes the decoding times n₁,…,n_K within our code architecture.
Item Type: | Book Section | |||||||||
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Additional Information: | © 2021 IEEE. This work was supported in part by the National Science Foundation (NSF) under grant CCF-1817241 and CCF-1956386. Stimulating discussions with Prof. Richard Wesel and Prof. Aaron Wagner are gratefully acknowledged. | |||||||||
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Subject Keywords: | Variable-length stop-feedback codes, Gaussian channel, second-order achievability bound | |||||||||
DOI: | 10.1109/ISIT45174.2021.9517993 | |||||||||
Record Number: | CaltechAUTHORS:20210329-152031630 | |||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20210329-152031630 | |||||||||
Official Citation: | R. C. Yavas, V. Kostina and M. Effros, "Variable-length Feedback Codes with Several Decoding Times for the Gaussian Channel," 2021 IEEE International Symposium on Information Theory (ISIT), 2021, pp. 1883-1888, doi: 10.1109/ISIT45174.2021.9517993 | |||||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||
ID Code: | 108576 | |||||||||
Collection: | CaltechAUTHORS | |||||||||
Deposited By: | Tony Diaz | |||||||||
Deposited On: | 30 Mar 2021 18:28 | |||||||||
Last Modified: | 29 Oct 2021 20:35 |
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