Unified Composite Distribution and Its Applications to Double Shadowed $\alpha-\kappa-\mu$ Fading Channels

TL;DR

This paper introduces a unified mixture Gamma shadowed distribution for modeling double shadowed $oldsymbol{ extalpha-oldsymbol{ extkappa-oldsymbol{ extmu}}}$ fading channels, deriving key performance metrics for wireless systems.

Contribution

It proposes a novel MGS distribution model and derives exact and asymptotic statistics to analyze wireless performance over complex fading channels.

Findings

Derived exact and asymptotic statistics of the MGS distribution.

Analyzed outage probability, ABEP, capacity, and AUC for double shadowed fading.

Validated analysis with numerical and simulation results.

Abstract

In this paper, we propose a mixture Gamma shadowed (MGS) distribution as a unified composite model via representing the shadowing by an inverse Nakagami-$m$. Accordingly, the exact expression and the asymptotic behaviour at high average signal-to-noise ratio (SNR) regime of the fundamental statistics of a MGS distribution are derived first. These statistics are then applied to analyze the performance of the wireless communications systems over double shadowed $\alpha-\kappa-\mu$ fading via providing the outage probability (OP), the average bit error probability (ABEP), the average channel capacity (ACC), and the effective capacity (EC). The average area under the receiver operating characteristics curve (AUC) of energy detection (ED) is also analyzed. The numerical and simulation results are presented to verify the validation of our analysis.