发表机构
Zhejiang University; Hangzhou Normal University（浙江大学; 杭州师范大学）
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6G LEO卫星物联网的二维系统架构，评估上行免授权随机接入、下行深度学习多波束预编码及星间分布式协作路由三项关键技术，并通过在轨平台验证其可行性。
AI 中文摘要
低地球轨道（LEO）卫星星座有望成为第六代（6G）物联网（IoT）的基石，提供真正的全球覆盖和泛在连接。本文提出了一种面向6G LEO卫星物联网的整体二维系统架构，该架构融合了组成和功能视角，以促进LEO卫星与地面网络的无缝集成。在此架构基础上，我们评估了针对上行链路、下行链路和星间链路（ISLs）的三项关键使能技术。具体而言，我们分析了用于高效上行连接的大规模免授权随机接入，研究了基于深度学习的多波束预编码以实现稳健的下行传输，并考察了用于弹性星间链路数据投递的分布式协作路由。此外，我们展示了一个在轨验证平台，该平台验证了所提解决方案在真实世界中的可行性和性能。最后，我们概述了关键的开放性挑战和未来研究方向，以指导未来LEO卫星物联网的实现。
英文摘要
Low Earth orbit (LEO) satellite constellations are poised to become a cornerstone of the sixth-generation (6G) Internet of Things (IoT), providing truly global coverage and ubiquitous connectivity. This article presents a holistic two-dimensional system architecture for 6G LEO satellite IoT that incorporates composition and functional perspectives to facilitate the seamless integration of LEO satellites and terrestrial networks. Building upon this architecture, we evaluate three pivotal enabling technologies targeting the uplink, downlink, and inter-satellite links (ISLs). Specifically, we analyze massive grant-free random access for efficient uplink connectivity, investigate deep learning-based multibeam precoding for robust downlink transmission, and examine distributed cooperative routing for resilient ISL data delivery. Furthermore, we present an on-orbit verification platform that validates the real-world feasibility and performance of the proposed solutions. Finally, we outline key open challenges and future research directions to guide the realization of future LEO satellite IoT.
