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Effective Throughput Analysis of α-η-κ-μ Fading Channels
IEEE Access ( IF 3.9 ) Pub Date : 2020-01-01 , DOI: 10.1109/access.2020.2982279
Yun Ai , Aashish Mathur , Long Kong , Michael Cheffena

The $\alpha $ - $\eta $ - $\kappa $ - $\mu $ fading model is a very useful instrument to accurately describe various radio wave propagation scenarios. In this paper, we study the effective throughput performance of communication systems over the $\alpha $ - $\eta $ - $\kappa $ - $\mu $ fading channels. Novel and exact expressions for the effective throughput over $\alpha $ - $\eta $ - $\kappa $ - $\mu $ channels are derived, and the effective throughput of multiple-input single-output (MISO) and multiple-input multiple-output (MIMO) systems over some widely used small-scale fading models are presented based on the derived results. To obtain more understandings on the impact of physical channel characteristics and system configuration on the effective throughput, closed-form expressions for the asymptotic effective throughput at high signal-to-noise ratio (SNR) regimes are also obtained. The results reveal the underlying connections between different physical channel parameters (e.g., scattering level, phase correlation, channel nonlinearity, multipath clustering, and channel imbalance) and the effective throughput. It is found that the effective throughput improves with the increase of channel nonlinearity and number of multipath clusters, and the high-SNR slope is only dependent on the channel nonlinearity and the number of multipath clusters present in the physical channel.

中文翻译:

α-η-κ-μ衰落信道的有效吞吐量分析

$\alpha $ —— $\eta $ —— $\kappa $ —— $\亩 $ 衰落模型是一种非常有用的工具,可以准确描述各种无线电波传播场景。在本文中,我们研究了通信系统的有效吞吐量性能 $\alpha $ —— $\eta $ —— $\kappa $ —— $\亩 $ 衰落的频道。有效吞吐量的新颖而精确的表达式 $\alpha $ —— $\eta $ —— $\kappa $ —— $\亩 $ 推导了信道,并基于推导的结果展示了多输入单输出 (MISO) 和多输入多输出 (MIMO) 系统在一些广泛使用的小规模衰落模型上的有效吞吐量。为了更多地了解物理信道特性和系统配置对有效吞吐量的影响,还获得了高信噪比 (SNR) 状态下渐近有效吞吐量的闭式表达式。结果揭示了不同物理信道参数(例如,散射水平、相位相关性、信道非线性、多径聚类和信道不平衡)与有效吞吐量之间的潜在联系。发现有效吞吐量随着信道非线性和多径簇数的增加而提高,
更新日期:2020-01-01
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