Communication With Noncausal Message-Dependent Bi-Terminal Help

The capacity of a state-dependent discrete memoryless channel is derived for the setting where a message-cognizant rate-limited helper observes the state sequence noncausally and provides its description to both encoder and decoder. Said capacity is not increased if the channel outputs are fed back to the encoder via a noiseless feedback link. The analogous capacity is derived for the Gaussian channel, where the state corresponds to the additive noise. In this setting the feedback link—while not increasing capacity—eliminates the need for the helper’s cognition of the transmitted message. Moreover, in this setting, the results on capacity also hold for the cutoff rate and the listsize capacity.

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Publication Details

Journal
IEEE Transactions on Information Theory
Published
2024-12-20
DOI
https://doi.org/10.1109/tit.2024.3520813
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
0.00

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article

Communication With Noncausal Message-Dependent Bi-Terminal Help

Amos Lapidoth, Yiming Yan, Ligong Wang
IEEE Transactions on Information Theory
Distributed systems and fault tolerance
article

Communication With Noncausal Message-Dependent Bi-Terminal Help

Amos Lapidoth, Yiming Yan, Ligong Wang
article en

Abstract

The capacity of a state-dependent discrete memoryless channel is derived for the setting where a message-cognizant rate-limited helper observes the state sequence noncausally and provides its description to both encoder and decoder. Said capacity is not increased if the channel outputs are fed back to the encoder via a noiseless feedback link. The analogous capacity is derived for the Gaussian channel, where the state corresponds to the additive noise. In this setting the feedback link—while not increasing capacity—eliminates the need for the helper’s cognition of the transmitted message. Moreover, in this setting, the results on capacity also hold for the cutoff rate and the listsize capacity.

IEEE Transactions on Information TheoryVol. 71(4)
ETH Zurich (CH)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Openalex Percentile: Top 73%
Distributed systems and fault tolerance
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