Efficient Ordered Statistics Decoder with Unfolded Gaussian Elimination

Ordered statistics decoding (OSD) is a universal decoding algorithm for short-length linear block codes that approaches maximum likelihood decoding when run at sufficiently high order. However, the high computational complexity and latency of Gaussian elimination make it challenging for OSD implementations to meet stringent latency constraints. In this paper, we design a hardware decoder for OSD with order one, featuring an unfolded Gaussian elimination architecture with configurable parallelism. The proposed architecture can efficiently process multiple matrix columns and guarantees a low decoding latency. Based on 65 nm CMOS technology, the synthesis results show a worst-case throughput of 958 Mbps for a (128, 105) polar code at a frequency of 575 MHz.

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Publication Details

Published
2025-08-18
DOI
https://doi.org/10.1109/istc65386.2025.11154634
Primary Topic
Neural Networks and Applications
Type
article
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Efficient Ordered Statistics Decoder with Unfolded Gaussian Elimination

Andreas Burg, Yuqing Ren, Chuan Zhang, Leyu Zhang et al.
Neural Networks and Applications
article

Efficient Ordered Statistics Decoder with Unfolded Gaussian Elimination

Andreas Burg, Yuqing Ren, Chuan Zhang, Leyu Zhang, Yifei Shen
article en

Abstract

Ordered statistics decoding (OSD) is a universal decoding algorithm for short-length linear block codes that approaches maximum likelihood decoding when run at sufficiently high order. However, the high computational complexity and latency of Gaussian elimination make it challenging for OSD implementations to meet stringent latency constraints. In this paper, we design a hardware decoder for OSD with order one, featuring an unfolded Gaussian elimination architecture with configurable parallelism. The proposed architecture can efficiently process multiple matrix columns and guarantees a low decoding latency. Based on 65 nm CMOS technology, the synthesis results show a worst-case throughput of 958 Mbps for a (128, 105) polar code at a frequency of 575 MHz.

Southeast University (BD), École Polytechnique Fédérale de Lausanne (CH)
Openalex Percentile: Top 87%
Neural Networks and Applications
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