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arXiv 2408.00575cs.ITeess.SPmath.IT

波动视距衰落分布:统计表征与应用

Fluctuating Line-of-Sight Fading Distribution: Statistical Characterization and Applications

Thanh Luan Nguyen, Georges Kaddoum

AI总结:

本文提出波动视距衰落模型,给出其统计分布表达式及高效计算方法,并分析中断概率与遍历容量,验证了其在信道老化无线系统中的应用价值。

摘要:

我们引入了波动视距(fLoS)衰落模型,该模型由参数 $K$、$k$、$λ$ 和 $Ω$ 表征。fLoS 衰落分布以多元合流超几何函数 $Ψ_2$、$Φ_3^{(n)}$ 和 $Φ_3 = Φ_3^{(2)}$ 表示,并涵盖多种众所周知的分布作为特例,例如 Nakagami-$m$、Hoyt、Rice 和 Rician shadowed 衰落分布。本文还提出了一种高效数值计算 fLoS 衰落分布的方法。值得注意的是,当 $k$ 为正整数时,fLoS 衰落分布可简化为 $κ$-$μ$ 分布的有限混合。此外,我们分析了中断概率和遍历容量,并为后者提出了一种定制的 Prony 近似方法。数值结果展示了衰落参数的影响,并验证了所提近似的准确性。此外,我们展示了所提出的 fLoS 衰落分布在表征受信道老化影响的无线系统中的应用。

英文摘要:

We introduce the fluctuating Line-of-Sight (fLoS) fading model, characterized by parameters $K$, $k$, $λ$, and $Ω$. The fLoS fading distribution is expressed in terms of the multivariate confluent hypergeometric functions $Ψ_2$, $Φ_3^{(n)}$, and $Φ_3 = Φ_3^{(2)}$ and encompasses well-known distributions, such as the Nakagami-$m$, Hoyt, Rice, and Rician shadowed fading distributions as special cases. An efficient method to numerically compute the fLoS fading distribution is also addressed. Notably, for a positive integer $k$, the fLoS fading distribution simplifies to a finite mixture of $κ$-$μ$ distributions. Additionally, we analyze the outage probability and Ergodic capacity, presenting a tailored Prony's approximation method for the latter. Numerical results are presented to show the impact of the fading parameters and verify the accuracy of the proposed approximation. Moreover, we illustrate an application of the proposed fLoS fading distribution for characterizing wireless systems affected by channel aging.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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