Hardware-Friendly IR-HARQ for Polar SCL Decoders

To extend the applications of polar codes within next-generation wireless communication systems, it is essential to incorporate support for Incremental Redundancy (IR) Hybrid Automatic Repeat Request (HARQ) schemes. The baseline IRHARQ scheme's reliance on set-based operations leads to irregular memory access patterns, posing significant challenges for efficient hardware implementation. Furthermore, the introduction of new bit types increases the number of fast nodes that are decoded without traversing the sub-tree, resulting in a substantial area overhead when implemented in hardware. To address these issues and improve hardware compatibility, we propose transforming the set-based operations within the polar IR-HARQ scheme into binary vector operations. Additionally, we introduce a new fast node integration approach that avoids increasing the number of fast nodes, thereby minimizing the associated area overhead. Our proposed scheme results in a memory overhead of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$25-27 \%$</tex> compared to successive cancellation list (SCL) decoding without IR-HARQ support.

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Published
2025-06-08
DOI
https://doi.org/10.1109/icc52391.2025.11161101
Primary Topic
Optical Network Technologies
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article
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article

Hardware-Friendly IR-HARQ for Polar SCL Decoders

Marwan Jalaleddine, Warren J. Gross, Jiajie Li
Optical Network Technologies
article

Hardware-Friendly IR-HARQ for Polar SCL Decoders

Marwan Jalaleddine, Warren J. Gross, Jiajie Li
article en

Abstract

To extend the applications of polar codes within next-generation wireless communication systems, it is essential to incorporate support for Incremental Redundancy (IR) Hybrid Automatic Repeat Request (HARQ) schemes. The baseline IRHARQ scheme's reliance on set-based operations leads to irregular memory access patterns, posing significant challenges for efficient hardware implementation. Furthermore, the introduction of new bit types increases the number of fast nodes that are decoded without traversing the sub-tree, resulting in a substantial area overhead when implemented in hardware. To address these issues and improve hardware compatibility, we propose transforming the set-based operations within the polar IR-HARQ scheme into binary vector operations. Additionally, we introduce a new fast node integration approach that avoids increasing the number of fast nodes, thereby minimizing the associated area overhead. Our proposed scheme results in a memory overhead of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$25-27 \%$</tex> compared to successive cancellation list (SCL) decoding without IR-HARQ support.

McGill University (CA)
Openalex Percentile: Top 74%
Optical Network Technologies
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Hardware-Friendly IR-HARQ for Polar SCL Decoders — Marwan Jalaleddine, Warren J. Gross, et al. · (2025) | TGRS Research Map | TGRS