面向大规模灾害的快速网络恢复：一种具备弹性的自组织RAN框架
Fast Network Recovery from Large-Scale Disasters: A Resilient and Self-Organizing RAN Framework
AI总结：
针对灾害场景下现有移动通信系统无法满足运行需求的问题，提出融合多类6G技术的开源弹性自组织RAN框架Open6GRAN，依托AI控制器与空天地融合实现快速恢复，并完成RIS应急重构的概念验证。
摘要：
全球范围内极端自然现象的发生频率正日益升高，给通信网络等基础设施带来了严峻挑战。例如2023年初土耳其发生的毁灭性地震就表明，尽管灾后通信成为迫在眉睫的优先事项，但现有移动通信系统无法满足恶劣灾害环境下的运行需求。\n本文提出了一种全新的鲁棒、弹性、自适应的开源第六代（6G）无线接入网框架Open6GRAN，可在自然灾害及其他中断事件发生时提供不间断的通信服务。该框架稳健整合了多项前沿6G技术，包括可重构智能表面（RISs）、无小区多输入多输出，以及由地面节点和非地面节点组成、部署形态日益异构的通信感知一体化技术。本文提出，构建具备快速恢复能力的服务与管理编排系统的核心支撑，将依赖于基于人工智能的无线接入网（RAN）控制器。为支撑覆盖更大范围的应急用例，将空域、天域网段与地面网络相融合，有望在任何灾害发生时实现快速可靠的响应。本文还展示并讨论了一项概念验证，该验证可在应急场景下快速重构RIS以提升网络性能。
英文摘要：
Extreme natural phenomena are occurring more frequently everyday in the world, challenging, among others, the infrastructure of communication networks. For instance, the devastating earthquakes in Turkiye in early 2023 showcased that, although communications became an imminent priority, existing mobile communication systems fell short with the operational requirements of harsh disaster environments. In this article, we present a novel framework for robust, resilient, adaptive, and open source sixth generation (6G) radio access networks (Open6GRAN) that can provide uninterrupted communication services in the face of natural disasters and other disruptions. Advanced 6G technologies, such as reconfigurable intelligent surfaces (RISs), cell-free multiple-input-multiple-output, and joint communications and sensing with increasingly heterogeneous deployment, consisting of terrestrial and non-terrestrial nodes, are robustly integrated. We advocate that a key enabler to develop service and management orchestration with fast recovery capabilities will rely on an artificial-intelligence-based radio access network (RAN) controller. To support the emergency use case spanning a larger area, the integration of aerial and space segments with the terrestrial network promises a rapid and reliable response in the case of any disaster. A proof-of-concept that rapidly reconfigures an RIS for performance enhancement under an emergency scenario is presented and discussed.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
