Title
Arbitrarily tight bounds on cumulative distribution function of Beckmann distribution
Abstract
Beckmann distribution is a versatile mathematical model, which can be applied in performance analyses of radio frequency communications, free-space optical communications and underwater optical communications. However, the cumulative distribution function (CDF) of Beckmann distribution does not have a closed-form expression, which makes it challenging to derive closed-form outage probability expression of communications over channels involving Beckmann random variables. In this paper, we derive closed-form upper and lower CDF bounds of Beckmann distribution, and the bounds can be arbitrarily tight by properly choosing the parameters of the bounds. Compared to the numerical estimation of the double-fold integral expression of the Beckmann CDF, using the closed-form bounds to estimate the CDF is not only faster, but also has less space complexity. More importantly, the analytical CDF bounds explicitly quantify the largest possible discrepancy between the approximate CDF and the exact CDF, while the discrepancy of the numerical estimation is unknown.
Year
DOI
Venue
2017
10.1109/ICCNC.2017.7876099
2017 International Conference on Computing, Networking and Communications (ICNC)
Keywords
Field
DocType
cumulative distribution function,Beckmann distribution,mathematical model,radio frequency communications,free-space optical communications,underwater optical communications,CDF,closed-form expression,closed-form outage probability expression,Beckmann random variables,numerical estimation,double-fold integral expression,Beckmann CDF
Applied mathematics,Random variable,Mathematical optimization,Wireless,Optical communication,Upper and lower bounds,Communication channel,Radio frequency,Cumulative distribution function,Probability density function,Mathematics
Conference
ISSN
ISBN
Citations 
2325-2626
978-1-5090-4589-1
0
PageRank 
References 
Authors
0.34
6
3
Name
Order
Citations
PageRank
Bingcheng Zhu1237.33
Zhaoquan Zeng220.72
Julian Cheng31409145.12