6G将实现自我演进的通信系统，让网络自动适应工业场景需求。
From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems
- 用AI驱动动态调整网络结构与功能，实现自主演化。
- 可降低控制系统的延迟，提升实时决策效率。
- 适合关注6G智能工业应用的科研与工程人员。
本文展望6G作为自演化电信生态系统，通过人工智能驱动的智能技术实现超越静态连接的动态适应。研究探索了自适应通信系统的关键使能技术，涵盖可重构基础设施、自适应中间件及智能网络功能，并结合多智能体协作实现分布式决策。这些方法与新兴工业物联网框架相契合，确保在数字制造流程中无缝集成。研究发现，系统能显著提升实时决策能力，优化运行效率并降低网络控制系统的延迟。讨论还涉及伦理挑战、研究方向与标准化进展，最后提出技术栈路线图以指导未来发展。基于先进的6G网络管理技术，本研究推动下一代智能自动化解决方案落地，弥合理论创新与实际工业应用之间的差距。
原文摘要 · Abstract (English)
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.
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