发表机构
Cornell University（康奈尔大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对流星突发通信窗口短、信噪比低的问题，提出将可重构智能表面集成到MBC网络，通过实时自适应控制与蒙特卡洛模拟优化部署，提升通信可靠性。
AI 中文摘要
流星突发通信（MBC）利用流星留下的瞬态电离尾迹反射甚高频（VHF）信号，从而实现不依赖地面或卫星基础设施的远距离超视距通信。尽管在严酷和对抗性环境中具有韧性，MBC仍受限于通信窗口短暂、信噪比（SNR）低以及信道可用性不稳定等问题。可重构智能表面（RIS）的最新进展提供了一种变革性解决方案，通过可编程反射元件实现对信号传播的动态控制。本文提出了一种将RIS集成到MBC网络中的新型系统架构，融合了实时自适应控制、优化部署策略以及蒙特卡洛模拟，以优化RIS的布置和运行参数。
英文摘要
Meteor Burst Communication (MBC) utilizes the transient ionized trails left by meteors to reflect Very High Frequency (VHF) signals, enabling long-range, beyond-line-of-sight communication without reliance on terrestrial or satellite infrastructure. Despite its resilience in austere and contested environments, MBC is limited by brief communication windows, low signal-to-noise ratio (SNR), and inconsistent channel availability. Recent advancements in Reconfigurable Intelligent Surfaces (RIS) offer a transformative solution by enabling dynamic control over signal propagation through programmable reflective elements. This paper proposes a novel system architecture that integrates RIS into MBC networks, incorporating real-time adaptive control, optimized deployment strategies, and Monte Carlo simulations to refine RIS placement and operational parameters.
