Decoder-in-the-Loop: Genetic Optimization-Based LDPC Code Design
LDPC code design tools typically rely on asymptotic code behavior and are affected by an unavoidable performance degradation due to model imperfections in the short length regime. We propose an LDPC code design scheme based on an evolutionary algorithm, the Genetic Algorithm (GenAlg), implementing a...
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doaj-a65b88d6b4d545dfac1d095ed2cdc97b2021-03-29T23:55:23ZengIEEEIEEE Access2169-35362019-01-01714116114117010.1109/ACCESS.2019.29429998846017Decoder-in-the-Loop: Genetic Optimization-Based LDPC Code DesignAhmed Elkelesh0https://orcid.org/0000-0003-1711-0233Moustafa Ebada1https://orcid.org/0000-0003-4224-1665Sebastian Cammerer2https://orcid.org/0000-0002-7614-5156Laurent Schmalen3https://orcid.org/0000-0002-1459-9128Stephan ten Brink4https://orcid.org/0000-0003-1502-2571Institute of Telecommunications, University of Stuttgart, Stuttgart, GermanyInstitute of Telecommunications, University of Stuttgart, Stuttgart, GermanyInstitute of Telecommunications, University of Stuttgart, Stuttgart, GermanyCommunications Engineering Lab, Karlsruhe Institute of Technology, Karlsruhe, GermanyInstitute of Telecommunications, University of Stuttgart, Stuttgart, GermanyLDPC code design tools typically rely on asymptotic code behavior and are affected by an unavoidable performance degradation due to model imperfections in the short length regime. We propose an LDPC code design scheme based on an evolutionary algorithm, the Genetic Algorithm (GenAlg), implementing a “decoder-in-the-loop” concept. It inherently takes into consideration the channel, code length and the number of iterations while optimizing the error-rate of the actual decoder hardware architecture. We construct short length LDPC codes (i.e., the parity-check matrix) with error-rate performance comparable to, or even outperforming that of well-designed standardized short length LDPC codes over both AWGN and Rayleigh fading channels. Our proposed algorithm can be used to design LDPC codes with special graph structures (e.g., accumulator-based codes) to facilitate the encoding step, or to satisfy any other practical requirement. Moreover, GenAlg can be used to design LDPC codes with the aim of reducing decoding latency and complexity, leading to coding gains of up to 0.325 dB and 0.8 dB at BLER of 10<sup>-5</sup> for both AWGN and Rayleigh fading channels, respectively, when compared to state-of-the-art short LDPC codes. Also, we analyze what can be learned from the resulting codes and, as such, the GenAlg particularly highlights design paradigms of short length LDPC codes (e.g., codes with degree-1 variable nodes obtain very good results).https://ieeexplore.ieee.org/document/8846017/LDPC codesbelief propagation decodingshort LDPC code designEXIT chartsgenetic algorithmevolutionary algorithms |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ahmed Elkelesh Moustafa Ebada Sebastian Cammerer Laurent Schmalen Stephan ten Brink |
spellingShingle |
Ahmed Elkelesh Moustafa Ebada Sebastian Cammerer Laurent Schmalen Stephan ten Brink Decoder-in-the-Loop: Genetic Optimization-Based LDPC Code Design IEEE Access LDPC codes belief propagation decoding short LDPC code design EXIT charts genetic algorithm evolutionary algorithms |
author_facet |
Ahmed Elkelesh Moustafa Ebada Sebastian Cammerer Laurent Schmalen Stephan ten Brink |
author_sort |
Ahmed Elkelesh |
title |
Decoder-in-the-Loop: Genetic Optimization-Based LDPC Code Design |
title_short |
Decoder-in-the-Loop: Genetic Optimization-Based LDPC Code Design |
title_full |
Decoder-in-the-Loop: Genetic Optimization-Based LDPC Code Design |
title_fullStr |
Decoder-in-the-Loop: Genetic Optimization-Based LDPC Code Design |
title_full_unstemmed |
Decoder-in-the-Loop: Genetic Optimization-Based LDPC Code Design |
title_sort |
decoder-in-the-loop: genetic optimization-based ldpc code design |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
LDPC code design tools typically rely on asymptotic code behavior and are affected by an unavoidable performance degradation due to model imperfections in the short length regime. We propose an LDPC code design scheme based on an evolutionary algorithm, the Genetic Algorithm (GenAlg), implementing a “decoder-in-the-loop” concept. It inherently takes into consideration the channel, code length and the number of iterations while optimizing the error-rate of the actual decoder hardware architecture. We construct short length LDPC codes (i.e., the parity-check matrix) with error-rate performance comparable to, or even outperforming that of well-designed standardized short length LDPC codes over both AWGN and Rayleigh fading channels. Our proposed algorithm can be used to design LDPC codes with special graph structures (e.g., accumulator-based codes) to facilitate the encoding step, or to satisfy any other practical requirement. Moreover, GenAlg can be used to design LDPC codes with the aim of reducing decoding latency and complexity, leading to coding gains of up to 0.325 dB and 0.8 dB at BLER of 10<sup>-5</sup> for both AWGN and Rayleigh fading channels, respectively, when compared to state-of-the-art short LDPC codes. Also, we analyze what can be learned from the resulting codes and, as such, the GenAlg particularly highlights design paradigms of short length LDPC codes (e.g., codes with degree-1 variable nodes obtain very good results). |
topic |
LDPC codes belief propagation decoding short LDPC code design EXIT charts genetic algorithm evolutionary algorithms |
url |
https://ieeexplore.ieee.org/document/8846017/ |
work_keys_str_mv |
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