Improved Successive Cancellation Flip Decoding of Polar Codes Based on Error Distribution
Carlo Condo, Furkan Ercan, Warren J. Gross

TL;DR
This paper introduces two techniques to enhance SC-Flip decoding of polar codes, reducing implementation complexity and improving error correction by leveraging error distribution insights, suitable for 5G standards.
Contribution
The paper proposes fixed index selection and enhanced index selection methods to improve SC-Flip decoding efficiency and performance based on error distribution analysis.
Findings
24.6% reduction in logic implementation cost
Up to 0.42 dB error correction performance improvement
Effective for low-rate polar codes in 5G applications
Abstract
Polar codes are a class of linear block codes that provably achieves channel capacity, and have been selected as a coding scheme for generation wireless communication standards. Successive-cancellation (SC) decoding of polar codes has mediocre error-correction performance on short to moderate codeword lengths: the SC-Flip decoding algorithm is one of the solutions that have been proposed to overcome this issue. On the other hand, SC-Flip has a higher implementation complexity compared to SC due to the required log-likelihood ratio (LLR) selection and sorting process. Moreover, it requires a high number of iterations to reach good error-correction performance. In this work, we propose two techniques to improve the SC-Flip decoding algorithm for low-rate codes, based on the observation of channel-induced error distributions. The first one is a fixed index selection (FIS)…
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