发表机构
The University of Danang - University of Science and Technology, Vietnam; University of Aizu, Aizuwakamatsu 965-8580, Japan（越南岘港大学-科技大學; 日本会津大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出一种配备调制反射器的无人机架构用于BB84-QKD系统，简化跟踪并放宽指向要求，通过新推导的信道透射率概率分布解析获得性能指标，数值验证了其可行性和优于传统无人机-地面系统的效果。
AI 中文摘要
基于无人机（UAV）的自由空间光（FSO）/量子密钥分发（QKD）系统需要高精度的指向机制。这增加了系统复杂性，并限制了轻量级和能量受限无人机的快速部署。本文提出了一种配备调制反射器（MRR）的无人机架构，用于BB84-QKD系统，该架构实现了简化而准确的跟踪，同时放宽了指向要求。我们开发了一个实际的量子信道模型，并新推导了信道透射率概率分布（PDT）。利用所推导的信道PDT，解析地获得了若干QKD性能指标。数值结果验证了所提出的MRR辅助无人机在实际QKD部署中的可行性，突出了其相对于传统无人机-地面系统的有效性，并验证了所开发解析框架的准确性。
英文摘要
Unmanned aerial vehicles (UAVs)-based free-space optics (FSO)/quantum key distribution (QKD) systems require high-precision pointing mechanisms. This increases system complexity and limits rapid deployment for lightweight and energy-constrained UAVs. This paper proposes a modulating retroreflector (MRR)-equipped UAV architecture for BB84-QKD systems that enables simplified yet accurate tracking while relaxing pointing requirements. A realistic quantum channel model is developed, for which we newly derive the channel probability distribution of transmittance (PDT). Capitalizing on the derived channel PDT, several QKD performance metrics are analytically obtained. Numerical results verify the feasibility of the proposed MRR-aided UAV for practical QKD deployment, highlight its effectiveness over conventional UAV-ground systems, and validate the accuracy of the developed analytical framework.
Journal refIEEE Communications Letters, Vol. 30, 2026
DOI：10.1109/LCOMM.2026.3722531
