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.
View on arXiv@article{nezami2025_2505.23710,
title={ From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems },
author={ Zeinab Nezami and Syed Danial Ali Shah and Maryam Hafeez and Karim Djemame and Syed Ali Raza Zaidi },
journal={arXiv preprint arXiv:2505.23710},
year={ 2025 }
}