Coding on Dual-Parameter Barrier Channels

This paper studies coding on channels with the barrier property: only errors to and from a special barrier symbol are possible. This model is motivated by information systems that have heterogeneous symbol structure, not admitting the usual multi-bit scaling principle of representation levels. This work is the first that addresses a barrier channel with separate parameters for the transitions into and out of the barrier symbol. Earlier work addressed special-case single-parameter models, and focused primarily on the worst-case coding performance. Our contributions for the general dual-parameter model include derivation of the channel capacity, guaranteed-correction conditions and code-size bounds, a code construction method, and several decoders that correct beyond the guaranteed worst-case capability. A key structural feature of our construction method enables reduction of the decoding problem to a cooperation between two decoders for codes in the Hamming metric.

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Publication Details

Journal
IEEE Transactions on Information Theory
Published
2025-09-23
DOI
https://doi.org/10.1109/tit.2025.3613452
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

Coding on Dual-Parameter Barrier Channels

IEEE Transactions on Information Theory
Geochemistry and Geologic Mapping
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Coding on Dual-Parameter Barrier Channels

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Abstract

This paper studies coding on channels with the barrier property: only errors to and from a special barrier symbol are possible. This model is motivated by information systems that have heterogeneous symbol structure, not admitting the usual multi-bit scaling principle of representation levels. This work is the first that addresses a barrier channel with separate parameters for the transitions into and out of the barrier symbol. Earlier work addressed special-case single-parameter models, and focused primarily on the worst-case coding performance. Our contributions for the general dual-parameter model include derivation of the channel capacity, guaranteed-correction conditions and code-size bounds, a code construction method, and several decoders that correct beyond the guaranteed worst-case capability. A key structural feature of our construction method enables reduction of the decoding problem to a cooperation between two decoders for codes in the Hamming metric.

IEEE Transactions on Information TheoryVol. 71(11)
Technion – Israel Institute of Technology (IL)
Openalex Percentile: Top 30%
Geochemistry and Geologic Mapping
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Coding on Dual-Parameter Barrier Channels · IEEE Transactions on Information Theory (2025) | TGRS Research Map | TGRS