Performance Analysis of Multiple Optical Reflecting Surfaces Assisted FSO Communication

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI:10.1109/WCNC55385.2023.10118738

Narendra Vishwakarma, R. Swaminathan

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Abstract

The deployment of intelligent reflecting surfaces (IRSs) in wireless communication systems have recently garnered much attention due to its potential to reduce blockages by providing an alternate propagation path and improving reliability. This paper reports the performance analysis of multiple optical reflecting surfaces (ORSs)-assisted free space optics (FSO) communication. Specifically, the performance is investigated by utilizing the selection of the best ORS from the multiple available ORSs. Firstly, we have derived the exact probability density function (PDF) of the end-to-end maximum instantaneous signal-to-noise ratio (SNR) among multiple ORSs-aided FSO links. Further, using the above PDF statistics, the outage and average symbol error rate (SER) expressions of the considered multiple ORSs system are derived in closed-form. Additionally, the asymptotic expressions, which are mathematically more tractable, for both outage and average SER are presented with the diversity gain analysis. Finally, numerical results along with Monte-Carlo simulation results are provided to corroborate the derived analytical results.

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多光反射面辅助FSO通信性能分析

智能反射面(IRSs)在无线通信系统中的部署最近引起了人们的广泛关注，因为它有可能通过提供替代传播路径和提高可靠性来减少阻塞。本文报道了多反射面辅助自由空间光学(FSO)通信的性能分析。具体来说，通过从多个可用的ORS中选择最佳ORS来研究性能。首先，我们推导了多个orss辅助FSO链路端到端最大瞬时信噪比的精确概率密度函数(PDF)。此外，利用上述PDF统计数据，以封闭形式导出了所考虑的多ors系统的停机和平均符号错误率(SER)表达式。此外，通过分集增益分析，给出了在数学上更易于处理的中断和平均SER的渐近表达式。最后，给出了数值结果和蒙特卡罗模拟结果来验证推导出的解析结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2023 IEEE Wireless Communications and Networking Conference (WCNC)

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