Skip to Main content Skip to Navigation
New interface
Journal articles

Noisy Density Evolution With Asymmetric Deviation Models

Elsa Dupraz 1, 2 François Leduc-Primeau 3 
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance : UMR6285
Abstract : This paper considers low-density parity-check (LDPC) decoders affected by deviations introduced by the electronic device on which the decoder is implemented. Noisy density evolution (DE) that allows to theoretically study the performance of these LDPC decoders can only consider symmetric deviation models due to the all-zero codeword assumption. A novel DE method is proposed that admits the use of asymmetric deviation models, thus widening the range of faulty implementations that can be analyzed. DE equations are provided for three noisy decoders: belief propagation, Gallager B, and quantized min-sum (MS). Simulation results confirm that the proposed DE accurately predicts the performance of LDPC decoders with asymmetric deviations. Furthermore, asymmetric versions of the Gallager B and MS decoders are proposed to compensate the effect of asymmetric deviations. The parameters of these decoders are then optimized using the proposed DE, leading to better ensemble thresholds and improved finite-length performance in the presence of asymmetric deviations.
Document type :
Journal articles
Complete list of metadata
Contributor : Elsa Dupraz Connect in order to contact the contributor
Submitted on : Tuesday, September 7, 2021 - 4:54:45 PM
Last modification on : Friday, August 5, 2022 - 2:54:52 PM
Long-term archiving on: : Wednesday, December 8, 2021 - 8:08:30 PM


Files produced by the author(s)



Elsa Dupraz, François Leduc-Primeau. Noisy Density Evolution With Asymmetric Deviation Models. IEEE Transactions on Communications, 2021, Volume: 69 (Issue 3), pp.1403 - 1416. ⟨10.1109/TCOMM.2020.3039856⟩. ⟨hal-03337227⟩



Record views


Files downloads