An Extension of the kappa-mu Shadowed Fading Model: Statistical Characterization and Applications

作者：Ramirez Espinosa Pablo^*; Javier Lopez Martinez F; Francisco Paris Jose; Daoud Yacoub Michel; Martos Naya Eduardo

来源：IEEE Transactions on Vehicular Technology, 2018, 67(5): 3826-3837.

DOI：10.1109/TVT.2017.2787204

• Fading channels
• Beckmann
• Rayleigh
• Nakagami-m
• Rician
• kappa-mu
• Rician shadowed
• kappa-mu shadowed

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.

• 出版日期2018-5