Low complexity joint optimization of QAM gray mapping and non-binary LDPC Coefficients

This work presents a method to figure out all possible combinations of Gray codes necessary for the joint optimization of a non-binary LDPC code associated with high-order modulation. However, the complexity of this earch increases rapidly with the order of modulation due to the growing number of Gray codes. To overcome his limitation, we show how to reduce without any loss the number of Gray codes, thereby simplifying the complexity of the process. In this paper, we introduce all possible sets of 64-QAM (Quadrature Amplitude Modulation) Gray codes, including the construction method and the mapping approach. Then, we generalize our ork for all orders of QAM, revealing an intractable exhaustive research for QAM that may be tackled with he method we propose to reduce the sets number of Gray codes.

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Publication Details

Journal
South Florida Journal of Development
Published
2024-12-12
DOI
https://doi.org/10.46932/sfjdv5n12-027
Primary Topic
Error Correcting Code Techniques
Type
article
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article

Low complexity joint optimization of QAM gray mapping and non-binary LDPC Coefficients

Latifa Mostari, Alban Goupil
South Florida Journal of Development
Error Correcting Code Techniques
article

Low complexity joint optimization of QAM gray mapping and non-binary LDPC Coefficients

Latifa Mostari, Alban Goupil
article en

Abstract

This work presents a method to figure out all possible combinations of Gray codes necessary for the joint optimization of a non-binary LDPC code associated with high-order modulation. However, the complexity of this earch increases rapidly with the order of modulation due to the growing number of Gray codes. To overcome his limitation, we show how to reduce without any loss the number of Gray codes, thereby simplifying the complexity of the process. In this paper, we introduce all possible sets of 64-QAM (Quadrature Amplitude Modulation) Gray codes, including the construction method and the mapping approach. Then, we generalize our ork for all orders of QAM, revealing an intractable exhaustive research for QAM that may be tackled with he method we propose to reduce the sets number of Gray codes.

South Florida Journal of DevelopmentVol. 5(12)
Centre National de la Recherche Scientifique (FR), Université de Lille (FR), Université des Sciences et de la Technologie d'Oran Mohamed Boudiaf (DZ), Centre de Recherche en Sciences et Technologies de l'Information et de la Communication (FR), Institut d'Electronique, de Microélectronique et de Nanotechnologie (FR), Centre de Recherche en Économie et Statistique (FR), Université Polytechnique Hauts-de-France (FR), École Centrale de Lille (FR)
Openalex Percentile: Top 74%
Error Correcting Code Techniques
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Low complexity joint optimization of QAM gray mapping and non-binary LDPC Coefficients — Latifa Mostari, Alban Goupil · South Florida Journal of Development (2024) | TGRS Research Map | TGRS