Our journal paper
– G. Romano and D. Ciuonzo, “Minimum-Variance Importance-Sampling Bernoulli Estimator for Fast Simulation of Linear Block Codes over BSCs”.
has been accepted for publication in IEEE Transactions on Wireless Communications.
The paper proposes and studies an Importance Sampling – Monte Carlo approach to estimate the decoding-error probability in linear block codes over binary symmetric channels. The latter is obtained as the variance minimizer into the parametric family of the Bernoulli distributions.