Skip to Main content Skip to Navigation
Journal articles

Energy Optimization of Quantized Min-Sum Decoders for Protograph-Based LDPC Codes

Mohamed Yaoumi 1 Elsa Dupraz 1, 2 François Leduc-Primeau 3 Frédéric Guilloud 2, 1
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : This paper considers protograph-based LDPC codes, and proposes an optimization method to select protographs that minimize the energy consumption of quantized Min-Sum decoders. This method first estimates the average number of iterations required by the decoder, and includes this estimate into two high level models that evaluate the decoder energy consumption. The optimization problem is then formulated as minimizing the energy consumption of the decoder while satisfying a performance criterion on the Frame Error Rate. Finally, an optimization algorithm based on differential evolution is introduced. Protograph optimized for energy consumption shows a gain in energy of approximately 15% compared to a baseline protograph optimized for performance only.
Document type :
Journal articles
Complete list of metadata

Cited literature [15 references]  Display  Hide  Download
Contributor : Elsa Dupraz <>
Submitted on : Monday, August 31, 2020 - 10:48:27 AM
Last modification on : Wednesday, January 6, 2021 - 3:34:16 PM


Files produced by the author(s)



Mohamed Yaoumi, Elsa Dupraz, François Leduc-Primeau, Frédéric Guilloud. Energy Optimization of Quantized Min-Sum Decoders for Protograph-Based LDPC Codes. Annals of Telecommunications - annales des télécommunications, Springer, 2020, ⟨10.1007/s12243-020-00804-0⟩. ⟨hal-02925044v2⟩



Record views


Files downloads