Efficient Estimation of the Left Tail of Bimodal Distributions with Applications to Underwater Optical Communication Systems

09/24/2019
by   Chaouki Ben Issaid, et al.
0

In this paper, we propose efficient importance sampling estimators to evaluate the outage probability of maximum ratio combining receivers over turbulence-induced fadings in underwater wireless optical channels. We consider two fading models: exponential-lognormal, and exponential-generalized Gamma. The cross-entropy optimization method is used to determine the optimal biased distribution. We show by simulations that the number of samples required by importance sampling estimator is much less compared to naive Monte Carlo for the same accuracy requirement.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/04/2022

Efficient Importance Sampling Algorithm Applied to the Performance Analysis of Wireless Communication Systems Estimation

When assessing the performance of wireless communication systems operati...
research
01/26/2019

Eficient Monte Carlo Simulation of the Left Tail of Positive Gaussian Quadratic Forms

Estimating the left tail of quadratic forms in Gaussian random vectors i...
research
09/06/2020

Efficient Importance Sampling for the Left Tail of Positive Gaussian Quadratic Forms

Estimating the left tail of quadratic forms in Gaussian random vectors i...
research
08/06/2020

Performance of Underwater Wireless Optical Communications in Presents of Cascaded Mixture Exponential-Generalized Gamma Turbulence

Underwater wireless optical communication is one of the critical technol...
research
11/12/2017

On the Sum of Order Statistics and Applications to Wireless Communication Systems Performances

We consider the problem of evaluating the cumulative distribution functi...
research
08/30/2021

A principled stopping rule for importance sampling

Importance sampling (IS) is a Monte Carlo technique that relies on weigh...

Please sign up or login with your details

Forgot password? Click here to reset