Low-latency low-complexity heap-based extended min-sum algorithms for non-binary low-density parity-check codes
The extended min-sum (EMS) and improved EMS (I-EMS) algorithms for non-binary low-density parity-check codes over GF(q) significantly reduce the decoding complexity with an acceptable performance degradation, but they suffer from high latency because of many serial computations, including a sorting...
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          | Published in | IET communications Vol. 9; no. 9; pp. 1191 - 1198 | 
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| Main Authors | , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
            The Institution of Engineering and Technology
    
        11.06.2015
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| Subjects | |
| Online Access | Get full text | 
| ISSN | 1751-8628 1751-8636 1751-8636  | 
| DOI | 10.1049/iet-com.2014.1107 | 
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| Summary: | The extended min-sum (EMS) and improved EMS (I-EMS) algorithms for non-binary low-density parity-check codes over GF(q) significantly reduce the decoding complexity with an acceptable performance degradation, but they suffer from high latency because of many serial computations, including a sorting process. On the other hand, the trellis-based EMS algorithm can greatly reduce the latency, but it does not solve the complexity problem in high-order fields (q ≥ 64). To improve the latency problem with low-complexity advantages, the authors propose heap-based EMS (H-EMS) and heap-based I-EMS (HI-EMS) algorithms that are modifications of the EMS and I-EMS algorithms, respectively. The authors also propose double H-EMS and double HI-EMS algorithms trading off the latency against the performance by heaping messages twice. Numerical results show that the H-EMS algorithm has 2.74–9.52 times lower latency than the EMS algorithm with a negligible performance degradation over a wide range of code rates, whereas the HI-EMS algorithm has 1.20–1.62 times lower latency than the I-EMS algorithm. Furthermore, the proposed algorithms may be employed regardless of the decoding schedules. | 
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23  | 
| ISSN: | 1751-8628 1751-8636 1751-8636  | 
| DOI: | 10.1049/iet-com.2014.1107 |