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PreprintarXiv licencearXiv

Sequential Automorphism Ensemble Decoding with Early Stopping

Abstract

In this paper, a low-complexity approach for the automorphism ensemble decoder (AED) using successive cancellation (SC) as constituent decoders is proposed. The approach sequentially activates sub-decoders and terminates the decoding process based on pre-optimized parameters, derived from the strong correlation observed between the decoding outcome and the SC path metric. An algorithm is proposed to find a list of early termination thresholds that minimize average decoding complexity subject to a block-error rate (BLER) constraint. For various code parameters and a BLER below 10−3, simulation results show that average decoding complexity is reduced by a factor of at least 6 ×, and up to 22 ×, compared to the original AED complexity, with a negligible degradation in BLER.

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BibTeX
@misc{pillet2026sequential,
  title = {{Sequential Automorphism Ensemble Decoding with Early Stopping}},
  author = {Charles Pillet and Pascal Giard and Bassant Selim and François Leduc-Primeau},
  howpublished = {arXiv},
  year = {2026},
  month = aug,
  doi = {10.48550/arxiv.2605.00255},
  eprint = {2605.00255},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.00255},
}
RIS
TY  - UNPB
TI  - Sequential Automorphism Ensemble Decoding with Early Stopping
AU  - Charles Pillet
AU  - Pascal Giard
AU  - Bassant Selim
AU  - François Leduc-Primeau
PY  - 2026
DA  - 2026/08/12
PB  - arXiv
DO  - 10.48550/arxiv.2605.00255
UR  - https://arxiv.org/abs/2605.00255
AB  - In this paper, a low-complexity approach for the automorphism ensemble decoder (AED) using successive cancellation (SC) as constituent decoders is proposed. The approach sequentially activates sub-decoders and terminates the decoding process based on pre-optimized parameters, derived from the strong correlation observed between the decoding outcome and the SC path metric. An algorithm is proposed to find a list of early termination thresholds that minimize average decoding complexity subject to a block-error rate (BLER) constraint. For various code parameters and a BLER below 10^−3, simulation results show that average decoding complexity is reduced by a factor of at least 6 ×, and up to 22 ×, compared to the original AED complexity, with a negligible degradation in BLER.
ER  -