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Auteurs principaux: Jalaleddine, Marwan, Li, Jiajie, Gross, Warren J.
Format: Preprint
Publié: 2025
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Accès en ligne:https://arxiv.org/abs/2508.08425
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author Jalaleddine, Marwan
Li, Jiajie
Gross, Warren J.
author_facet Jalaleddine, Marwan
Li, Jiajie
Gross, Warren J.
contents 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 IR-HARQ 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 25-27% compared to successive cancellation list (SCL) decoding without IR-HARQ support.
format Preprint
id arxiv_https___arxiv_org_abs_2508_08425
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Hardware-friendly IR-HARQ for Polar SCL Decoders
Jalaleddine, Marwan
Li, Jiajie
Gross, Warren J.
Signal Processing
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 IR-HARQ 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 25-27% compared to successive cancellation list (SCL) decoding without IR-HARQ support.
title Hardware-friendly IR-HARQ for Polar SCL Decoders
topic Signal Processing
url https://arxiv.org/abs/2508.08425