标题： 从连通性到自主性：自演化通信系统的黎明 显示英文标题

标题： From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems

摘要： 本文将6G设想为一个自我演进的电信生态系统，其中AI驱动的智能能够实现超越静态连接的动态适应。 我们探讨了自主通信系统的关键推动因素，包括可重构基础设施、自适应中间件和智能网络功能，以及多智能体协作以支持分布式决策。 我们研究了这些方法如何与新兴的工业物联网框架保持一致，确保无缝集成到数字制造过程中。 我们的研究结果强调了提高实时决策能力、优化效率和减少网络化控制系统延迟的潜力。 讨论涉及伦理挑战、研究方向和标准化工作，并以技术栈路线图作为结论，指导未来的发展。 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了贡献，弥合了理论进展与实际工业应用之间的差距。 显示英文摘要

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.