Vol. 17, No. 4, April 30, 2023
10.3837/tiis.2023.04.014,
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Abstract
In this paper, based on the soft cancellation (SCAN) bit-flipping (SCAN-BF) algorithm, a generalized SCAN bit-flipping (GSCAN-BF-Ω) decoding algorithm is carried out, where Ω represents the number of bits flipped or corrected at the same time. GSCAN-BF-Ω algorithm corrects the prior information of the code bits and flips the prior information of the unreliable information bits simultaneously to improve the block error rate (BLER) performance. Then, a joint threshold scheme for the GSCAN-BF-2 decoding algorithm is proposed to reduce the average decoding complexity by considering both the bit channel quality and the reliability of the coded bits. Simulation results show that the GSCAN-BF-Ω decoding algorithm reduces the average decoding latency while getting performance gains compared to the common multiple SCAN bit-flipping decoding algorithm. And the GSCAN-BF-2 decoding algorithm with the joint threshold reduces the average decoding latency further by approximately 50% with only a slight performance loss compared to the GSCAN-BF-2 decoding algorithm.
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Cite this article
[IEEE Style]
L. Chen and G. Rui, "Generalized SCAN Bit-Flipping Decoding Algorithm for Polar Code," KSII Transactions on Internet and Information Systems, vol. 17, no. 4, pp. 1296-1309, 2023. DOI: 10.3837/tiis.2023.04.014.
[ACM Style]
Lou Chen and Guo Rui. 2023. Generalized SCAN Bit-Flipping Decoding Algorithm for Polar Code. KSII Transactions on Internet and Information Systems, 17, 4, (2023), 1296-1309. DOI: 10.3837/tiis.2023.04.014.
[BibTeX Style]
@article{tiis:38668, title="Generalized SCAN Bit-Flipping Decoding Algorithm for Polar Code", author="Lou Chen and Guo Rui and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2023.04.014}, volume={17}, number={4}, year="2023", month={April}, pages={1296-1309}}