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Effective capacity analysis of SIMO system with MRC and SC over Inverse-Gamma shadowing
International Journal of Electronics ( IF 1.1 ) Pub Date : 2021-05-05 , DOI: 10.1080/00207217.2021.1908622
Vipin Kumar Upaddhyay 1 , Puspraj Singh Chauhan 1 , Sanjay Kumar Soni 1
Affiliation  

ABSTRACT

Multiple antennas are usually employed to improve the performance of the wireless communication system. To this context, we derive the effective capacity (EC) expressions for Inverse Gamma (I-Gamma) shadowed fading channel, employing maximal ratio combining (MRC) and selection combining (SC) diversity schemes at the receiver (Rx) side. The channels are assumed to be independent and identical distributed (i.i.d.). In addition to this, we also propose the simplified high-power approximation that enables direct interpretation of the system performance concerning system fading parameters. Furthermore, to diminish the effect of shadowing over composite statistics, macroscopic diversity analysis is presented as an application, where Weibull, and I-Gamma models are used to obtain composite statistics. At last, we validate our proposed formulations through the Monte-Carlo simulation.



中文翻译:

具有 MRC 和 SC 的 SIMO 系统在 Inverse-Gamma 阴影下的有效容量分析

摘要

通常采用多个天线来提高无线通信系统的性能。为此,我们推导了逆伽玛 (I-Gamma) 阴影衰落信道的有效容量 (EC) 表达式,在接收器 (Rx) 侧采用最大比合并 (MRC) 和选择合并 (SC) 分集方案。假设通道是独立且相同的分布 (iid)。除此之外,我们还提出了简化的高功率近似,可以直接解释与系统衰落参数有关的系统性能。此外,为了减少阴影对复合统计的影响,提出了宏观多样性分析作为一种应用程序,其中 Weibull 和 I-Gamma 模型用于获得复合统计。最后,

更新日期:2021-05-05
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