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Copula function-based analysis of outage probability and coverage region for wireless multiple access communications with correlated fading channels
IET Communications ( IF 1.6 ) Pub Date : 2020-07-02 , DOI: 10.1049/iet-com.2019.0830
Farshad Rostami Ghadi 1 , Ghosheh Abed Hodtani 1
Affiliation  

From practical and theoretical viewpoints, performance analysis of communications with correlated fading channels is important. In this study, the authors exploit a novel approach based on Copula function concept to investigate the impact of correlation of Rayleigh fading channels on communication performances. One of the most convenient ways to describe the dependence between several variables is using Copula functions. For this purpose, by applying the Farlie–Gumbel–Morgenstern Copula function, they derive closed-form expressions for outage probability as well as coverage region in a wireless multiple access channel. It is shown that the fading correlation improves the outage probability and coverage region for negative dependence structure. Specifically, whenever the dependence structure tends to negative values, the outage and coverage region performance improvement is increased. Finally, the efficiency of the analytical results is illustrated numerically.

中文翻译:

具有相关衰落信道的无线多址通信的基于Copula函数的中断概率和覆盖区域分析

从实践和理论的角度来看,具有相关衰落信道的通信的性能分析很重要。在这项研究中,作者利用一种基于Copula函数概念的新颖方法来研究瑞利衰落信道的相关性对通信性能的影响。描述几个变量之间的依存关系的最便捷方法之一是使用Copula函数。为此,通过应用Farlie-Gumbel-Morgenstern Copula函数,他们得出了中断概率以及无线多址信道覆盖范围的封闭式表达式。结果表明,衰落相关提高了负相关结构的中断概率和覆盖范围。具体来说,只要依赖结构趋向于负值,中断和覆盖区域的性能提高。最后,用数字说明了分析结果的效率。
更新日期:2020-07-03
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