带续积和整数指数的 Meijer-G 函数:多孔径 UOWC 系统在 EGG 湍流中的性能

Arvind Kumar, Nikumani Choudhury, Jayendra N. Bandyopadhyay, S. M. Zafaruddin
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引用次数: 0

摘要

水下光无线通信(UOWC)的信号传输会受到海洋湍流和指向误差的共同影响,这些影响可以通过两个 Meijer-G 函数之和进行统计建模。与单光圈系统相比,多光圈 UOWC 系统使用了选择组合分集技术来提高性能,但在多光圈 UOWC 系统的精确统计分析方面存在研究空白。在本文中,我们为 Meijer-G 函数之和的续积和正整数指数开发了一个通用框架,以分析 UOWC 系统在独立非同分布(i.ni.d.)和独立同分布(i.i.d.)信道的多变量 Fox-H 函数方面的精确统计性能。我们还使用单变量 Fox-H 函数对具有 i.i.d. 信道的多孔径 UOWC 系统的性能进行了近似计算。利用广义方法,我们提出了在指数广义伽马(EGG)海洋湍流和零船距指向误差条件下运行的所考虑系统的平均误码率(BER)和遍历容量的分析表达式。我们还开发了高信噪比(SNR)下平均误码率的渐近表达式,以深入了解系统的性能。我们的模拟结果证实了我们推导出的表达式的准确性,并说明了 i.ni.d. 和 i.i.d. 模型的湍流参数对平均误码率和遍历容量的影响,这可能会为 UOWC 的有效部署提供更好的估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Meijer-G Function with Continued Product and Integer Exponent: Performance of Multi-Aperture UOWC System over EGG Turbulence
Signal transmission over underwater optical wireless communication (UOWC) experiences the combined effect of oceanic turbulence and pointing errors statistically modeled using the sum of two Meijer-G functions. There is a research gap in the exact statistical analysis of multi-aperture UOWC systems that use selection combining diversity techniques to enhance performance compared to single-aperture systems. In this paper, we develop a general framework for the continued product and positive integer exponent for the sum of Meijer-G functions to analyze the exact statistical performance of the UOWC system in terms of multivariate Fox-H function for both independent and non-identically distributed (i.ni.d.) and independent and identically distributed (i.i.d.) channels. We also approximate the performance of a multi-aperture UOWC system with i.i.d. channels using the single-variate Fox-H function. Using the generalized approach, we present analytical expressions for average bit-error rate (BER) and ergodic capacity for the considered system operating over exponential generalized gamma (EGG) oceanic turbulence combined with zero-boresight pointing errors. We also develop asymptotic expressions for the average BER at a high signal-to-noise (SNR) to capture insights into the system's performance. Our simulation findings confirm the accuracy of our derived expressions and illustrate the impact of turbulence parameters for i.ni.d. and i.i.d. models for the average BER and ergodic capacity, which may provide a better estimate for the efficient deployment of UOWC.
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