Efficient outage probability evaluation of diversity receivers over α-μ fading channels

Abstract

In this paper, we are interested in determining the cumulative distribution function of the sum of α − µ random variables in the setting of rare event simulations. To this end, we present an efficient importance sampling estimator. The main result of this work is the bounded relative error property of the proposed estimator. This result is used to accurately estimate the outage probability of multibranch maximum ratio combining and equal gain diversity receivers over α−µ fading channels. Selected numerical simulations are discussed to show the robustness of our estimator compared to naive Monte Carlo. Index Terms-α − µ, importance sampling, Monte Carlo, bounded relative error, outage probability, diversity techniques.

On the Fast and Precise Evaluation of the Outage Probability of Diversity Receivers Over $\alpha -\mu $ , $\kappa -\mu $ , and $\eta -\mu $ Fading Channels

“…To prove the bounded relative error property for the η−µ scenario, we derived, to the best of our knowledge, a novel asymptotic expansion of the Yacoub's integral with respect to the second argument around zero. Part of this work, dealing only with the α − µ fading scenario, was presented in [19].…”