Stronger Polarization for the Deletion Channel

In this paper we show a polar coding scheme for the deletion channel with a probability of error that decays roughly like <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2^{-\sqrt {\Lambda }}$ </tex-math></inline-formula>, where <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\Lambda $ </tex-math></inline-formula> is the length of the codeword. That is, the same decay rate as that of seminal polar codes for memoryless channels. This is stronger than prior art in which the square root is replaced by a cube root. Our coding scheme is similar yet distinct from prior art. The main differences are: 1) Guard-bands are placed in almost all polarization levels; 2) Trellis decoding is applied to the whole received word, and not to segments of it. As before, the scheme is capacity-achieving. The price we pay for this improvement is a higher decoding complexity, which is nonetheless still polynomial, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$O(\Lambda ^{4})$ </tex-math></inline-formula>.

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Publication Details

Journal
IEEE Transactions on Information Theory
Published
2025-02-26
DOI
https://doi.org/10.1109/tit.2025.3545806
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Stronger Polarization for the Deletion Channel

Ido Tal, Dar Arava
IEEE Transactions on Information Theory
Neural Networks and Reservoir Computing
article

Stronger Polarization for the Deletion Channel

Ido Tal, Dar Arava
article en

Abstract

In this paper we show a polar coding scheme for the deletion channel with a probability of error that decays roughly like <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2^{-\sqrt {\Lambda }}$ </tex-math></inline-formula>, where <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\Lambda $ </tex-math></inline-formula> is the length of the codeword. That is, the same decay rate as that of seminal polar codes for memoryless channels. This is stronger than prior art in which the square root is replaced by a cube root. Our coding scheme is similar yet distinct from prior art. The main differences are: 1) Guard-bands are placed in almost all polarization levels; 2) Trellis decoding is applied to the whole received word, and not to segments of it. As before, the scheme is capacity-achieving. The price we pay for this improvement is a higher decoding complexity, which is nonetheless still polynomial, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$O(\Lambda ^{4})$ </tex-math></inline-formula>.

IEEE Transactions on Information TheoryVol. 71(7)
Technion – Israel Institute of Technology (IL)
National Science Foundation, United States - Israel Binational Science Foundation, Deutsche Forschungsgemeinschaft
Affordable and clean energy
Openalex Percentile: Top 99%
Neural Networks and Reservoir Computing
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Stronger Polarization for the Deletion Channel — Ido Tal, Dar Arava · IEEE Transactions on Information Theory (2025) | TGRS Research Map | TGRS