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New Results on the Sum of Gamma Random Variates With Application to the Performance of Wireless Communication Systems over Nakagami-m Fading Channels

机译:伽玛随机变量和的新结果及其应用   Nakagami-m衰落信道下无线通信系统的性能

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摘要

The probability density function (PDF) and cumulative distribution functionof the sum of L independent but not necessarily identically distributed Gammavariates, applicable to the output statistics of maximal ratio combining (MRC)receiver operating over Nakagami-m fading channels or in other words to thestatistical analysis of the scenario where the sum of squared Nakagami-mdistributions are user-of-interest, is presented in closed-form in terms ofwell-known Meijer's G function and easily computable Fox's H-bar function forinteger valued and non-integer valued m fading parameters. Further analysis,particularly on bit error rate via a PDF-based approach is also offered inclosed form in terms of Meijer's G function and Fox's H-bar function forinteger valued fading parameters, and extended Fox's H-bar function (H-hat) fornon-integer valued fading parameters. Our proposed results complement previousknown results that are either expressed in terms of infinite sums, nested sums,or higher order derivatives of the fading parameter m.
机译:L个独立但不一定相同分布的Gamma变量之和的概率密度函数(PDF)和累积分布函数,适用于在Nakagami-m衰落信道上运行的最大比合并(MRC)接收器的输出统计,或者适用于统计分析Nakagami分布的平方和是用户感兴趣的场景的一部分,以众所周知的Meijer的G函数和易于计算的Fox的H-bar函数形式用闭式形式表示,用于整数值和非整数值的衰落参数。进一步的分析,尤其是通过基于PDF的方法对误码率的分析,还以Meijer的G函数和Fox的H-bar函数(用于整数值衰落参数)以及扩展的Fox的H-bar函数(H-hat)fornon-整数值衰落参数。我们提出的结果是对先前已知结果的补充,这些结果要么以无穷和,嵌套和或衰落参数m的高阶导数表示。

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