从连通性到自治：自演化通信系统的黎明
From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems
AI总结：
本文将6G设想为自演化电信生态系统，通过AI驱动的可重构基础设施和多智能体协作实现动态适应，优化工业IoT实时决策，并提出了技术栈路线图以指导智能自动化发展。
摘要：
本文将6G设想为一个自演化的电信生态系统，其中AI驱动的智能使动态适应超越静态连通性。我们探索了自治通信系统的关键使能因素，涵盖可重构基础设施、自适应中间件和智能网络功能，以及用于分布式决策的多智能体协作。我们探索这些方法如何与新兴的工业IoT框架对齐，确保在数字制造过程中无缝集成。我们的发现强调了改进实时决策、优化效率和降低网络控制系统延迟的潜力。讨论涉及伦理挑战、研究方向和标准化努力，最后提出技术栈路线图以指导未来发展。通过利用最先进的6G网络管理技术，本研究为下一代智能自动化解决方案做出贡献，弥合理论进步与现实工业应用之间的差距。
英文摘要：
This paper envisions 6G as a self-evolving telecom ecosystem, where AI-driven intelligence enables dynamic adaptation beyond static connectivity. We explore the key enablers of autonomous communication systems, spanning reconfigurable infrastructure, adaptive middleware, and intelligent network functions, alongside multi-agent collaboration for distributed decision-making. We explore how these methodologies align with emerging industrial IoT frameworks, ensuring seamless integration within digital manufacturing processes. Our findings emphasize the potential for improved real-time decision-making, optimizing efficiency, and reducing latency in networked control systems. The discussion addresses ethical challenges, research directions, and standardization efforts, concluding with a technology stack roadmap to guide future developments. By leveraging state-of-the-art 6G network management techniques, this research contributes to the next generation of intelligent automation solutions, bridging the gap between theoretical advancements and real-world industrial applications.
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。
