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.
|Original language||English (US)|
|Title of host publication||2018 IEEE Wireless Communications and Networking Conference (WCNC)|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Number of pages||6|
|State||Published - Jun 11 2018|