Efficient Outage Probability Evaluation of Diversity Receivers Over α - μ Fading Channels

被引：0

作者：

Ben Issaid, Chaouki ^{[1
]}

Alouini, Mohamed-Slim ^{[1
]}

Tempone, Raul ^{[1
]}

机构：

[1] KAUST, Comp Elect & Math Sci & Engn CEMSE Div, Thuwal, Makkah Province, Saudi Arabia

来源：

2018 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC) | 2018年

关键词：

alpha; -; mu; importance sampling; Monte Carlo; bounded relative error; outage probability; diversity techniques; BACKHAUL;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we are interested in determining the cumulative distribution function of the sum of alpha - mu 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 alpha - mu fading channels. Selected numerical simulations are discussed to show the robustness of our estimator compared to naive Monte Carlo.

引用

页数：6

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