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首页> 外文期刊>IEEE Transactions on Communications >The κ-μ / Inverse Gamma and η-μ / Inverse Gamma Composite Fading Models: Fundamental Statistics and Empirical Validation
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The κ-μ / Inverse Gamma and η-μ / Inverse Gamma Composite Fading Models: Fundamental Statistics and Empirical Validation

机译:<斜斜体>μ-μs> /斜体伽玛和 /斜体> /斜体>复合组成:基础和经验打印

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The kappa-mu / inverse gamma and eta-mu / inverse gamma composite fading models are presented and extensively investigated in this paper. We derive closed-form expressions for the fundamental statistics of the kappa-mu / inverse gamma composite fading model, such as the probability density function (PDF), cumulative distribution function (CDF). Additionally, we solve the associated integral that is commonly used to obtain the moment generating function (MGF) of statistical distributions to provide an MGF-type function which is valid for performance analysis over the specified parameter space. Analytic expressions for the PDF, higher order moments and AF are also derived for the eta-mu / inverse gamma composite fading model, while infinite series expressions are obtained for the corresponding CDF and MGF-type function. The suitability of the new models for characterizing composite fading channels is demonstrated through a series of extensive field measurements for wearable, cellular, and vehicular communications. For all of the measurements, two propagation geometry problems with special relevance to the two new composite fading models, namely the line-of-sight (LOS) and non-LOS (NLOS) channel conditions, are considered. It is found that both the kappa-mu / inverse gamma and eta-mu / inverse gamma composite fading models provide an excellent fit to fading conditions encountered in the field. The goodness-of-fit of these two composite fading models is also evaluated and compared using the resistor-average distance. As a result, it is shown that the kappa-mu / inverse gamma composite fading model provides a better fit compared to the eta-mu / inverse gamma composite fading model when strong dominant signal components exist. On the contrary, the eta-mu / inverse gamma composite fading model outperforms the kappa-mu / inverse gamma composite fading model when there is no strong dominant signal component and/or the parameter eta is not equal to unity, indicating that the scattered wave power of the in-phase and quadrature components of each cluster of multipath are not identical.
机译:在本文中提出和广泛研究了kappa-mu /逆伽马和η-mu /逆伽马复合模型。我们导出用于Kappa-MU /逆伽马复合衰落模型的基本统计的闭合表达式,例如概率密度函数(PDF),累积分布函数(CDF)。另外,我们解决了通常用于获得统计分布的矩生成功能(MGF)的相关积分,以提供MGF型功能,该功能对于在指定的参数空间上有效地进行性能分析。对于ETA-MU /逆伽马复合衰落模型,还导出了PDF,更高阶矩和AF的分析表达式,而对于相应的CDF和MGF型功能,获得无限串联表达。用于表征复合衰落通道的新模型的适用性通过一系列广泛的可穿戴,蜂窝和车辆通信的广泛的场测量来证明。对于所有测量,考虑了两个与两个新的复合衰落模型的特殊相关性的两个传播几何问题,即视域(LOS)和非LOS(NLOS)通道条件。结果发现,Kappa-mu /逆伽马和η-mu /逆伽马复合模型均提供了优异的拟合田间在该领域遇到的褪色条件。还评估并使用电阻平均距离进行评估和比较这两种复合褪色模型的健美性。结果,显示Kappa-Mu /逆伽马复合衰落模型提供了与ETA-MU /逆伽马复合衰落模型相比更好的拟合,当存在强大的主导信号分量时。相反,当没有强大的主导信号分量和/或参数ETA不等于统一时,ETA-MU /逆伽马复合衰落模型优于Kappa-Mu /逆伽马复合衰落模型,表明散射波每个多径簇的同相和正交组件的功率不相同。

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