Journal
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume 67, Issue 5, Pages 3826-3837Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2017.2787204
Keywords
Fading channels; Beckmann; Rayleigh; Nakagami-m; Rician; kappa-mu; Rician shadowed; kappa-mu shadowed
Categories
Funding
- Consejeria de Economia, Innovacion, Ciencia y Empleo of the Junta de Andalucia
- Spanish Government
- European Fund for Regional Development FEDER [P2011-TIC-7109, P2011-TIC-8238, TEC2014-57901-R]
Ask authors/readers for more resources
We here introduce an extension and natural generalization of both the kappa-mu shadowed and the classical Beckmann fading models: the Fluctuating Beckmann (FB) fading model. This new model considers the clustering of multipath waves on which the line-of-sight (LoS) components randomly fluctuate, together with the effect of in-phase/quadrature power imbalance in the LoS and non-LoS components. Thus, it unifies a variety of important fading distributions as the one-sided Gaussian, Rayleigh, Nakagami-m, Rician, kappa-mu, eta-mu,eta-kappa, Beckmann, Rician shadowed, and the kappa-mu shadowed distribution. The chief probability functions of the FB fading model, namely probability density function, cumulative distribution function, and moment generating function are derived. The second-order statistics such as the level crossing rate and the average fade duration are also analyzed. These results can be used to derive some performance metrics of interest of wireless communication systems operating over FB fading channels.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available