Improved Channel Coding Performance Through Cost Variability

Channel coding for discrete memoryless channels (DMCs) with mean and variance cost constraints has been recently introduced. We show that there is an improvement in coding performance due to cost variability, both with and without feedback. We demonstrate this improvement over the traditional almost-sure (per-codeword) cost constraint that prohibits any cost variation above a fixed threshold. Our result simultaneously shows that feedback does not improve the second-order coding rate of simple-dispersion DMCs under the almost-sure cost constraint. This finding parallels similar results for unconstrained simple-dispersion DMCs, additive white Gaussian noise (AWGN) channels and parallel Gaussian channels.

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Publication Details

Journal
IEEE Transactions on Communications
Published
2025-07-14
DOI
https://doi.org/10.1109/tcomm.2025.3588600
Citations
1
Primary Topic
Error Correcting Code Techniques
Type
article
Field-Weighted Citation Impact
1.49

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article

Improved Channel Coding Performance Through Cost Variability

Adeel Mahmood, Aaron B. Wagner
1 citations
IEEE Transactions on Communications
Error Correcting Code Techniques
1.49
article

Improved Channel Coding Performance Through Cost Variability

Adeel Mahmood, Aaron B. Wagner
article en
1 citations

Abstract

Channel coding for discrete memoryless channels (DMCs) with mean and variance cost constraints has been recently introduced. We show that there is an improvement in coding performance due to cost variability, both with and without feedback. We demonstrate this improvement over the traditional almost-sure (per-codeword) cost constraint that prohibits any cost variation above a fixed threshold. Our result simultaneously shows that feedback does not improve the second-order coding rate of simple-dispersion DMCs under the almost-sure cost constraint. This finding parallels similar results for unconstrained simple-dispersion DMCs, additive white Gaussian noise (AWGN) channels and parallel Gaussian channels.

IEEE Transactions on CommunicationsVol. 73(11)
Cornell University (US)
National Science Foundation
Affordable and clean energy
Openalex Percentile: Top 15%
Error Correcting Code Techniques
1.49
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