Work

Efficient performance evaluation of Forward Error Correcting codes

Year: 2008

Type: conference-paper

Abstract: Standard Monte Carlo (SMC) simulation is employed to evaluate the performance of forward error correcting (FEC) codes. This performance is in terms of the probability of error during the transmission of information through digital communication systems. The time taken by SMC simulation to estimate the FER increases exponentially with the increase in signal-to-noise ratio (SNR). We hereby present an improved version of fast flat histogram (FFH) method, an adaptive importance sampling (AIS) technique inspired by algorithms existing in statistical physics. We show that the improved FFH method employing Wang Landau algorithm based on a Markov chain Monte Carlo (MCMC) sampler reduces the simulation time of the performance evaluation of complex FEC codes having different code rates.

Source: IEEE International Conference on Communication Systems (ICCS)

DOI: 10.1109/iccs.2008.4737185

Authors: S. Kakakhail, S. Reynal, D. Declercq, V. Y. Heinrich

Institutions: Centre National de la Recherche Scientifique, Equipes Traitement de l'Information et Systèmes, École Nationale Supérieure de l'Électronique et de ses Applications, STMicroelectronics (France)

Language: English

Topic: Error Correcting Code Techniques

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2170358114

FWCI: 0.736

Cites: 20

Cited by: 4

Related to: 10