Channel Coding with Mean and Variance Cost Constraints

Fuente: arXiv
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Hauptverfasser: Mahmood, Adeel, Wagner, Aaron B.
Format: Preprint
Veröffentlicht: 2024
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author Mahmood, Adeel
Wagner, Aaron B.
author_facet Mahmood, Adeel
Wagner, Aaron B.
contents We consider channel coding for discrete memoryless channels (DMCs) with a novel cost constraint that constrains both the mean and the variance of the cost of the codewords. We show that the maximum (asymptotically) achievable rate under the new cost formulation is equal to the capacity-cost function; in particular, the strong converse holds. We further characterize the optimal second-order coding rate of these cost-constrained codes; in particular, the optimal second-order coding rate is finite. We then show that the second-order coding performance is strictly improved with feedback using a new variation of timid/bold coding, significantly broadening the applicability of timid/bold coding schemes from unconstrained compound-dispersion channels to all cost-constrained channels. Equivalent results on the minimum average probability of error are also given.
format Preprint
id arxiv_https___arxiv_org_abs_2401_16417
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Channel Coding with Mean and Variance Cost Constraints
Mahmood, Adeel
Wagner, Aaron B.
Information Theory
We consider channel coding for discrete memoryless channels (DMCs) with a novel cost constraint that constrains both the mean and the variance of the cost of the codewords. We show that the maximum (asymptotically) achievable rate under the new cost formulation is equal to the capacity-cost function; in particular, the strong converse holds. We further characterize the optimal second-order coding rate of these cost-constrained codes; in particular, the optimal second-order coding rate is finite. We then show that the second-order coding performance is strictly improved with feedback using a new variation of timid/bold coding, significantly broadening the applicability of timid/bold coding schemes from unconstrained compound-dispersion channels to all cost-constrained channels. Equivalent results on the minimum average probability of error are also given.
title Channel Coding with Mean and Variance Cost Constraints
topic Information Theory
url https://arxiv.org/abs/2401.16417