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The Fluctuating Beckmann Shadowed Fading Model

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posted on 2022-12-30, 18:32 authored by Hussien Al-HmoodHussien Al-Hmood, Ali Salam Al-khayyat, Hamed Al-Raweshidy

In this paper, the fundamental statistics of fluctuating Beckmann shadowed (FBS) fading model which is composite of fluctuating Beckmann (FB) and inverse Nakagami-$m$ distributions, are provided. Accordingly, a wide range of composite generalized fading distributions are obtained as special cases of the proposed distribution, such as, double shadowed $\kappa-\mu$ fading Type I. To this effect, mathematically tractable expressions of both the exact and asymptotic at high signal-to-noise (SNR) regime of the probability density function (PDF), cumulative distribution function (CDF), and generalised-moment generating function (G-MGF) are derived. In addition, the fundamental statistics for integer $m$ and even value of $\mu$ that represent the shadowing of the dominant components and real extension of the number of the multipath clusters, respectively, are given in simple closed-from formats. These statistical characterizations are then used to evaluate the performance of the wireless communications in terms of the outage probability (OP), average bit error probability (ABEP), amount-of-fading (AF), channel quality estimation index (CQEI), error vector magnitude (EVM), average channel capacity (ACC), and effective throughput (ET). Furthermore, the area under the receiver operating characteristics (AUC) curve of the energy detection based spectrum sensing and the secure outage probability (SOP) as well as lower bound of SOP (SOP$^L$) of the physical layer are also analysed. The validation of the derived expressions is verified via comparing the numerical results with the Monte-Carlo simulations for different values of the fading parameters.


Email Address of Submitting Author

Submitting Author's Institution

University of Thi-Qar

Submitting Author's Country

  • Iraq