κ-μ和α-μ分布的乘积及其复合衰落分布

He Huang, Chaowei Yuan
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引用次数: 3

摘要

本研究考虑了κ-μ衰落分布和α-μ衰落分布的两个独立非同分布随机变量(RVs)的乘积。为解决foxh函数在专业数学软件包如MATHEMATICA和MAPLE中无法实现多房车foxh函数的问题,提出了一种新颖的κ-μ和α-μ衰落分布乘积的精确级数公式。推导了概率密度函数(PDF)和累积分布函数(CDF)的精确封闭表达式,以表示所提供的乘积表达式和广义复合多径阴影模型。最后,通过蒙特卡罗仿真验证了上述分析结果,结果表明,当主导分量的总功率与散射波总功率之比相同时,在给定κ-μ/α-μ模型下,非线性参数对PDF和CDF的影响比多径分量更大。
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Product of κ-μ and α-μ Distributions and Their Composite Fading Distributions
In this study, product of two independent and non-identically distributed (i.n.i.d.) random variables (RVs) for κ-μ fading distribution and α-μ fading distribution is considered. The novel exact series formulas for the product of two i.n.i.d. fading distributions κ-μ and α-μ are derived instead of Fox H-function to solve the problem that Fox H-function with multiple RVs cannot be implemented in professional mathematical software packages as MATHEMATICA and MAPLE. Exact close-form expressions of probability density function (PDF) and cumulative distribution function (CDF) are deduced to represent provided product expressions and generalized composite multipath shadowing models. At last, these analytical results are validated with Monte Carlo simulations, it shows that for provided κ-μ/α-μ model nonlinear parameter has more important influence than multipath component in PDF and CDF when the ratio between the total power of the dominant components and the total power of the scattered waves is same.
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