Name
Abstract | ||
|---|---|---|
This paper considers the optimization of the energy consumption of LDPC decoders. For a given protograph, two models are introduced to approximate the energy consumption of a quantized Min-Sum decoder. The first model takes into account the number of operations performed by the decoder, the second model considers the number of bits that are written into memory. An optimization problem is then formulated to minimize the decoder energy consumption with respect to the protograph and the number of iterations, while satisfying a given performance criterion. Finally, an optimization method based on Differential Evolution is proposed. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ISWCS.2019.8877353 | 2019 16th International Symposium on Wireless Communication Systems (ISWCS) |
Keywords | Field | DocType |
optimization problem,decoder energy consumption,protograph LDPC codes,LDPC decoders,quantized Min-Sum decoder,differential evolution | Computer science,Low-density parity-check code,Signal-to-noise ratio,Algorithm,Differential evolution,Real-time computing,Quantization (physics),Decoding methods,Probability of error,Energy consumption,Optimization problem | Conference |
ISSN | ISBN | Citations |
2154-0217 | 978-1-7281-2528-2 | 0 |
PageRank | References | Authors |
0.34 | 15 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohamed Yaoumi | 1 | 0 | 0.34 |
| François Leduc-Primeau | 2 | 15 | 6.73 |
| Elsa Dupraz | 3 | 45 | 11.89 |
| Frédéric Guilloud | 4 | 0 | 0.34 |