Abstract | ||
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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 with a baseline protograph optimized for performance only. |
Year | DOI | Venue |
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2020 | 10.1007/s12243-020-00804-0 | ANNALS OF TELECOMMUNICATIONS |
Keywords | DocType | Volume |
LDPC codes, Protographs, Min-sum decoder, Energy | Journal | 75 |
Issue | ISSN | Citations |
11-12 | 0003-4347 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mohamed Yaoumi | 1 | 0 | 0.34 |
Elsa Dupraz | 2 | 45 | 11.89 |
François Leduc-Primeau | 3 | 15 | 6.73 |
Frédéric Guilloud | 4 | 0 | 0.34 |