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arXiv 1210.0100cs.ITmath.ITmath.PRmath.STstat.TH
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η-μ随机变量平方和及其在无线通信系统性能中的应用

On the Sum of Squared η-μRandom Variates With Application to the Performance of Wireless Communication Systems

Imran Shafique Ansari, Ferkan Yilmaz, Mohamed-Slim Alouini

摘要:

本文给出了适用于η-μ衰落信道下最大比合并(MRC)接收机输出统计的L个独立但不一定同分布的η-μ平方变量之和的概率密度函数(PDF)和累积分布函数,其中包括Hoyt和Nakagami-m模型作为特例。进一步的分析,特别是通过PDF为基础的方法的位出错率,也表示在封闭形式的扩展福克斯的H-bar函数(H-hat)。提出的新的分析结果补充了以前的结果,并说明了广泛的数值模拟和蒙特卡罗模拟结果。

英文摘要:

The probability density function (PDF) and cumulative distribution function of the sum of L independent but not necessarily identically distributed squared η-μvariates, applicable to the output statistics of maximal ratio combining (MRC) receiver operating over η-μfading channels that includes the Hoyt and the Nakagami-m models as special cases, is presented in closed-form in terms of the Fox's H-bar function. Further analysis, particularly on the bit error rate via PDF-based approach, is also represented in closed form in terms of the extended Fox's H-bar function (H-hat). The proposed new analytical results complement previous results and are illustrated by extensive numerical and Monte Carlo simulation results.

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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