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Performance Analysis of System with Micro- and Macrodiversity Reception in Correlated Gamma Shadowed Rician Fading Channels

机译:相关的伽玛阴影Rician衰落信道中具有微观和宏观分集接收系统的性能分析

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摘要

In this paper, the performance of wireless system employing microdiversity to mitigate the effects of short-term fading and macrodiversity to reduce long-term fading (shadowing) effects is studied. The system model assumes implementation of maximal-ratio combining (MRC) at the microlevel and selection combining (SC) at the macrolevel. The received signal envelope follows a Rician distribution and it also suffers gamma shadowing. Novel expressions for the probability density function (PDF), cumulative distribution function (CDF), and moment-generating function (MGF) of the output signal-to-noise ratio (SNR) are obtained. Several useful performance criteria, such as the moments of the output SNR and outage probability are analytically derived. Moreover, the average bit error probability (ABEP) for noncoherent binary differential phase-shift keying (BDPSK) is calculated using the MGF based approach while the ABEP for coherent binary phase-shift keying (BPSK) is studied by averaging the conditional bit error probability over the PDF. Numerical results are graphically presented to show the effects of various system parameters to the system performance, as well as the enhancement due to use of the combination of micro- and macrodiversity. Some of numerical results are complemented by equivalent computer simulated results which validate the accuracy of the proposed analysis. The agreement between the Rician-gamma and Rician-lognormal fading model is also established.
机译:在本文中,研究了使用微分集减轻短期衰落影响和利用宏分集减少长期衰落(阴影)效应的无线系统的性能。该系统模型假设在微观级别实现最大比率合并(MRC),在宏观级别实现选择合并(SC)。接收到的信号包络遵循Rician分布,并且还会遭受伽玛阴影。获得了输出信噪比(SNR)的概率密度函数(PDF),累积分布函数(CDF)和矩生成函数(MGF)的新颖表达式。通过分析得出了一些有用的性能标准,例如输出SNR的矩和中断概率。此外,使用基于MGF的方法计算非相干二进制差分相移键控(BDPSK)的平均误码率(ABEP),同时通过平均条件误码率对相干二进制相移键控(BPSK)的ABEP进行研究。在PDF上。数值结果以图形方式呈现,以显示各种系统参数对系统性能的影响,以及由于使用微观和宏观多样性的组合而产生的增强。一些数值结果由等效的计算机模拟结果补充,这些结果验证了所提出分析的准确性。建立了Rician-gamma和Rician-lognormal衰落模型之间的一致性。

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