---
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标题: "Statistical Channel Model for FSO Systems Assisted by a UAV-Mounted IRS"
原文链接: "https://arxiv.org/abs/2608.10603"
发布日期: "2026-08-11"
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去重键: "https://arxiv.org/abs/2608.10603"
---

## Electrical Engineering and Systems Science > Signal Processing

## Title:Statistical Channel Model for FSO Systems Assisted by a UAV-Mounted IRS

[View PDF](https://arxiv.org/pdf/2608.10603) [HTML (experimental)](https://arxiv.org/html/2608.10603v1)

> Abstract:Integrating optical intelligent reflecting surfaces (IRSs) into aerial platforms, such as unmanned aerial vehicles (UAVs), has been proposed to relax the line-of-sight (LoS) constraint, extend coverage, and enhance deployment flexibility of free space optical (FSO) systems. However, misalignment errors induced by the UAV hovering, in both position and orientation, may degrade connectivity and impair the end-to-end channel quality. In this paper, we develop novel expressions for the electric fields incident on and reflected by an optical IRS, based on the Huygens-Fresnel principle. The resulting expressions are applicable for any combination of incident and reflected propagation directions. Building on this framework, we derive a closed-form statistical channel model that captures the geometric and misalignment losses of an FSO link assisted by a UAV-mounted IRS in the presence of random UAV fluctuations. In particular, we develop a statistical model for the beam misalignment at the receiver lens, assuming Gaussian fluctuations in both the UAV position and orientation. The proposed analytical model is validated through Monte Carlo (MC) simulations and is further used to provide practical design guidelines regarding the optimal placement of the UAV-mounted IRS for the minimization of the outage probability.

| Comments: |  |
| --- | --- |
| Subjects: | Signal Processing (eess.SP) |
| Cite as: | [arXiv:2608.10603](https://arxiv.org/abs/2608.10603) \[eess.SP\] |
|  | (or [arXiv:2608.10603v1](https://arxiv.org/abs/2608.10603v1) \[eess.SP\] for this version) |
|  | [https://doi.org/10.48550/arXiv.2608.10603](https://doi.org/10.48550/arXiv.2608.10603) |

## Submission history

From: Vasilis Papanikolaou \[[view email](https://arxiv.org/show-email/7b86633e/2608.10603)\]  
**\[v1\]** Tue, 11 Aug 2026 07:45:06 UTC (450 KB)

[Which authors of this paper are endorsers?](https://arxiv.org/auth/show-endorsers/2608.10603) | Disable MathJax ([What is MathJax?](https://info.arxiv.org/help/mathjax.html))
