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A Unified Fading Model Using Generalized Gamma Convolutions

机译:使用广义伽玛卷积的统一衰落模型

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This paper proposes to unify fading distributions by modeling the magnitude-squared of the instantaneous channel gain using generalized gamma convolutions (GGC). A random variable is said to be GGC, if it can be written as the limit of a sum of independent gamma variables potentially with different parameters. We show that GGC random variables have many useful mathematical properties, that are applied in the performance analysis of wireless systems. The proposed unification subsumes several classes of multipath and shadowing fading distributions previously proposed in the wireless communications literature.
机译:本文提出通过使用广义伽马卷积(GGC)对瞬时信道增益的幅度平方建模来统一衰落分布。如果可以将随机变量写为可能具有不同参数的独立伽玛变量之和的极限,则称其为GGC。我们表明,GGC随机变量具有许多有用的数学属性,这些属性在无线系统的性能分析中得到了应用。所提出的统一包括无线通信文献中先前提出的几类多径和阴影衰落分布。

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