面向6G赋能的工业5.0的URLLC：架构、跨层技术与时间关键应用的分类法
URLLC for 6G Enabled Industry 5.0: A Taxonomy of Architectures, Cross Layer Techniques, and Time Critical Applications
AI总结：
本文系统综述了6G赋能的工业5.0中URLLC的架构、跨层技术与时间关键应用，提出分类法并分析性能权衡，指出开放挑战与未来方向。
摘要：
从工业4.0向工业5.0的演进引入了对超可靠低延迟通信（URLLC）的严格要求，以支持以人为中心、智能且有韧性的工业系统。第六代（6G）无线网络旨在通过亚毫秒级端到端延迟、微秒级抖动和近乎完美的可靠性来满足这些要求，这些能力得益于太赫兹（THz）通信、可重构智能表面（RIS）、多接入边缘计算（MEC）以及AI驱动的跨层优化等进展。本文对6G赋能的工业5.0的URLLC解决方案进行了全面综述，并将其组织为包含应用领域、关键技术使能因素、设计挑战和性能增强的结构化分类法。该综述考察了新兴方法，包括数字孪生集成、基于AI/ML的资源编排、网络功能虚拟化（NFV）支持的服务功能链以及跨域组网，并将它们映射到关键工业场景，如智能制造、互联医疗、自主移动、远程控制和下一代移动网络。在代表性最新研究的背景下，分析了延迟、可靠性、可扩展性和能源效率之间的性能权衡。最后，本文指出了开放挑战，并概述了未来研究方向，以实现面向工业5.0的确定性、安全且可持续的URLLC架构。
英文摘要：
The evolution from Industry 4.0 to Industry 5.0 introduces stringent requirements for ultra reliable low latency communication (URLLC) to support human centric, intelligent, and resilient industrial systems. Sixth-generation (6G) wireless networks aim to meet these requirements through sub-millisecond end-to-end delays, microsecond level jitter, and near perfect reliability, enabled by advances such as terahertz (THz) communication, reconfigurable intelligent surfaces (RIS), multi-access edge computing (MEC), and AI driven cross layer optimization. This paper presents a comprehensive review of URLLC solutions for 6G enabled industry 5.0, organized into a structured taxonomy including application domains, key technical enablers, design challenges, and performance enhancements. The survey examines emerging approaches, including digital twin integration, AI/ML based resource orchestration, Network Function Virtualization (NFV) enabled service function chaining, and cross domain networking, while mapping them to critical industrial scenarios such as smart manufacturing, connected healthcare, autonomous mobility, remote control, and next-generation mobile networks. Performance trade-offs between latency, reliability, scalability, and energy efficiency are analyzed in the context of representative state-of-the-art studies. Finally, the paper identifies open challenges and outlines future research directions to realize deterministic, secure, and sustainable URLLC architectures for Industry 5.0.
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。
