On the Bivariate Nakagami-Lognormal Distribution and Its Correlation Properties
Joint Authors
Rodrigo-Peñarrocha, Vicent M.
Rubio, Lorenzo
Reig, Juan
Source
International Journal of Antennas and Propagation
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-18
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The bivariate Nakagami-lognormal distribution used to model the composite fast fading and shadowing has been examined exhaustively.
In particular, we have derived the joint probability density function, the cross-moments, and the correlation coefficient in power terms.
Also, two procedures to generate two correlated Nakagami-lognormal random variables are described.
These procedures can be used to evaluate the robustness of the sample correlation coefficient distribution in both macro- and microdiversity scenarios.
It is shown that the bias and the standard deviation of this sample correlation coefficient are substantially high for large shadowing standard deviations found in wireless communication measurements, even if the number of observations is considerable.
American Psychological Association (APA)
Reig, Juan& Rubio, Lorenzo& Rodrigo-Peñarrocha, Vicent M.. 2014. On the Bivariate Nakagami-Lognormal Distribution and Its Correlation Properties. International Journal of Antennas and Propagation،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1036039
Modern Language Association (MLA)
Reig, Juan…[et al.]. On the Bivariate Nakagami-Lognormal Distribution and Its Correlation Properties. International Journal of Antennas and Propagation No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1036039
American Medical Association (AMA)
Reig, Juan& Rubio, Lorenzo& Rodrigo-Peñarrocha, Vicent M.. On the Bivariate Nakagami-Lognormal Distribution and Its Correlation Properties. International Journal of Antennas and Propagation. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1036039
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1036039