Fast Simulation for the Performance Evaluation of LDPC Codes using Fast Flat Histogram Method

Abstract : The quality of transmission in digital communication systems is usually measured by Frame Error Rate (FER). The time taken by standard Monte Carlo (MC) simulation to estimate the FER increases exponentially with the increase in Signal-to-Noise Ratio (SNR). In this correspondence, we present an Adaptive Importance Sampling (AIS) technique inspired by statistical physics called Fast Flat Histogram (FFH) method to evaluate the performance of LDPC codes with a reduced simulation time. The FFH method employs Wang Landau algorithm based on a Markov Chain Monte Carlo (MCMC) sampler and we managed to decrease the simulation time by a factor of 13 to 173 for LDPC codes with block lengths up to 2640 bits.
Liste complète des métadonnées

Cited literature [16 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00512276
Contributor : Sylvain Reynal <>
Submitted on : Sunday, August 29, 2010 - 5:56:43 PM
Last modification on : Saturday, May 5, 2018 - 1:11:53 AM
Document(s) archivé(s) le : Tuesday, November 30, 2010 - 2:36:46 AM

File

master.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Shahkar Kakakhail, Sylvain Reynal, David Declercq, Vincent Heinrich. Fast Simulation for the Performance Evaluation of LDPC Codes using Fast Flat Histogram Method. IEEE Sarnoff Symposium, 2008, Princeton, United States. pp.1-5, ⟨10.1109/SARNOF.2008.4520050⟩. ⟨hal-00512276⟩

Share

Metrics

Record views

251

Files downloads

275