具有衰落和相关阴影的simo系统多径信道广义统计模型的概率分析

IF 1.9 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Intelligenza Artificiale Pub Date : 2021-05-28 DOI:10.15622/IA.2021.3.8
A. Gvozdarev, P. Patralov
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引用次数: 1

摘要

研究了存在多径信号传播信道的多元通信系统的信息传输过程分析问题。为了推广传播效果,假设具有相关阴影的κ -μ衰落信道模型,采用SIMO系统组织多元系统,在接收端配置信号的最大比组合器。为了描述信息传递过程的特征,采用了一种基于遍历容量高阶统计量的方法。对于所考虑的信道模型,得到了任意阶容量高阶统计量的封闭解析表达式。根据信道参数(多径传播簇的数量、优势分量的功率与多径波总功率的比值、优势分量的遮蔽程度和遮蔽相关系数),分析了前四个统计量(遍历容量、可靠性、偏度和峰度系数)的行为。在本研究的框架内,考虑了假设渠道模型行为的4种不同情况,它们的性质有显著差异。值得注意的是,与容量相比,其高阶统计量对信道参数要敏感得多,因此是通信信道内信息传输率波动的更重要指标。建立了可靠性遍历容量依赖于信噪比的显著极值(最小值)存在性。在实际应用中,当设定保证所需通信链路质量的信噪比要求时,应考虑到这一点。
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PROBABILISTIC ANALYSIS OF GENERALISED STATISTIC MODEL FOR MULTIPATH CHANNEL OF SIMO SISTEMS WITH FADING AND CORRELATED SHADOWING
The paper considers the problem of analysis of the information transmission process by multi-element communication systems in presence of a multipath signal propagation channel. To generalize the propagation effects, the model of the κ–μ fading channel with correlated shadowing was assumed, and the technology used for organizing a multi-element system was the SIMO system, equipped with the maximum-ration combiner of the signal on the receiving side. To describe the characteristics of the information transfer process, an approach based on the higher-order statistics of the ergodic capacity was used. Closed-form analytical expressions for arbitrary-order capacity higher-order statistics were obtained for the channel model under consideration. The behavior of the first four statistics (ergodic capacity, its reliability, skewness and kurtosis coefficients) is analyzed depending on the channel parameters (the number of multipath propagation clusters, the ratio of power of the dominant components to the total power of multipath waves, the degree of shadowing of the dominant components, and the shadowing correlation coefficient). Within the framework of the study, 4 distinct situations of the assumed channel model behavior were considered, which significantly differ in their properties. It is noted that, in contrast to the capacity, its higher-order statistics are significantly more sensitive to the channel parameters and, as a result, are more significant indicators of fluctuations in the information transfer rate within the communication channel. The existence of a pronounced extremum (minimum) of the reliability ergodic capacity dependence from the signal-to-noise ratio was established. It should be accounted for in practical applications, when the requirements of the signal-to-noise ratio that guarantees the desired communication link quality are set.
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来源期刊
Intelligenza Artificiale
Intelligenza Artificiale COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
3.50
自引率
6.70%
发文量
13
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