首页> 外文期刊>IEEE transactions on wireless communications >Outage Probability Analysis in Generalized Fading Channels with Co-Channel Interference and Background Noise: η-μ/η-μ, η-μ/κ-μ, and κ-μ/η-μ Scenarios
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Outage Probability Analysis in Generalized Fading Channels with Co-Channel Interference and Background Noise: η-μ/η-μ, η-μ/κ-μ, and κ-μ/η-μ Scenarios

机译:具有同信道干扰和背景噪声的广义衰落信道的中断概率分析:η-μ/η-μ,η-μ/κ-μ和κ-μ/η-μ方案

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摘要

In this paper, we present expressions for the cumulative distribution function (CDF) of a specially constructed random variable (RV) represented by the ratio of two generalized RVs. The obtained theoretical results are used to evaluate the outage probability in scenarios with η-μ—faded signals of interest (SoI), η-μ— or κ-μ—faded co-channel interference (CCI), and background white Gaussian noise. Our results are applicable also to scenarios where the SoI passes through the κ-μ fading channel, and the interfering signals are η-μ—faded. The derived results can be used if all parameters μ _{i} of the η-μ models representing the statistical distributions of either the SoI components or CCI components are integers. We prove, in particular, that in the former case, the CDF is expressed in terms of elementary functions.
机译:在本文中,我们提出了一种特殊构造的随机变量(RV)的累积分布函数(CDF)的表达式,该表达式由两个广义RV的比率表示。所获得的理论结果用于评估具有η-μ衰落的目标信号(SoI),η-μ-或κ-μ衰落的同信道干扰(CCI)和背景白高斯噪声的情况下的中断概率。我们的结果也适用于SoI通过κ-μ衰落信道且干扰信号为η-μ衰落的场景。如果代表SoI分量或CCI分量的统计分布的η-μ模型的所有参数μ_ {i}是整数,则可以使用导出的结果。我们特别证明,在前一种情况下,CDF是用基本功能表示的。

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