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Reverse PAC Codes: Look-Ahead List Decoding

Convolutional precoding in polarization-adjusted convolutional (PAC) codes is a recently introduced variant of polar codes. It has demonstrated an effective reduction in the number of minimum weight codewords (a.k.a error coefficient) of polar codes. This reduction has the potential to significantly...

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Main Authors: Gu, Xinyi, Rowshan, Mohammad, Yuan, Jinhong
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Rowshan, Mohammad
Yuan, Jinhong
description Convolutional precoding in polarization-adjusted convolutional (PAC) codes is a recently introduced variant of polar codes. It has demonstrated an effective reduction in the number of minimum weight codewords (a.k.a error coefficient) of polar codes. This reduction has the potential to significantly improve the error correction performance. From a codeword formation perspective, this reduction has limitations. Capitalizing on the understanding of the decomposition of minimum-weight codewords, this paper studies reverse precoding that can effectively reduce minimum-weight codewords more than in PAC codes. We propose a look-ahead list decoding for the reverse PAC codes, which has the same order of complexity as list decoding in PAC codes. Through numerical analysis, we demonstrate a notable reduction in error coefficients compared to PAC codes and polar codes, resulting in a remarkable improvement in the block error rate, in particular at high code rates.
doi_str_mv 10.1109/ISIT57864.2024.10619652
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subjects Codes
Convolutional codes
Decoding
Error analysis
error coefficient
minimum weight codewords
Numerical analysis
ordered statistics decoding
PAC codes
Picture archiving and communication systems
Polar codes
pre-transformation
Precoding
sphere decoding
title Reverse PAC Codes: Look-Ahead List Decoding
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