Problem
Research questions and friction points this paper is trying to address.
UAVs
FSO
QKD
pointing mechanisms
rapid deployment
Modulating Retroreflector-Aided UAV-Based FSO/QKD Systems
🤖 AI Summary
本文提出了一种基于调制反射器的无人机架构，简化了高精度指向机制，降低了系统复杂性，并通过新推导的传输概率分布分析了QKD性能指标。
📝 Abstract
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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Modulating Retroreflector
UAV
FSO/QKD Systems
Simplified Tracking
Channel Probability Distribution of Transmittance
🔎 Similar Papers
No similar papers found.
