Abstract | ||
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The interest in polar codes has been increasing significantly since their adoption for use in the 5
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generation wireless systems standard. Successive cancellation (SC) decoding algorithm has low implementation complexity, but yields mediocre error-correction performance at the code lengths of interest. SC-Flip algorithm improves the error-correction performance of SC by identifying possibly erroneous decisions made by SC and re-iterates after flipping one bit. It was recently shown that only a portion of bit-channels are most likely to be in error. In this paper, we investigate the average log-likelihood ratio (LLR) values and their distribution related to the erroneous bit-channels, and develop the Thresholded SC-Flip (TSCF) decoding algorithm. We also replace the LLR selection and sorting of SC-Flip with a comparator to reduce the implementation complexity. Simulation results demonstrate that for practical code lengths and a wide range of rates, TSCF shows negligible loss compared with the error-correction performance obtained when all single-errors are corrected. At matching maximum iterations, TSCF has an error-correction performance gain of up to 0.45 dB compared with SC-Flip decoding. At matching error-correction performance, the computational complexity of TSCF is reduced by up to 40% on average and requires up to
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lower maximum number of iterations. |
Year | DOI | Venue |
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2019 | 10.1109/TCOMM.2018.2873322 | IEEE Transactions on Communications |
Keywords | DocType | Volume |
Decoding,Iterative decoding,Encoding,5G mobile communication,Reliability,Estimation,Frequency estimation | Journal | abs/1808.03616 |
Issue | ISSN | Citations |
1 | 0090-6778 | 4 |
PageRank | References | Authors |
0.47 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Furkan Ercan | 1 | 25 | 6.43 |
Carlo Condo | 2 | 132 | 21.40 |
Warren J. Gross | 3 | 1106 | 113.38 |