From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866915312713072640 |
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| author | Nezami, Zeinab Shah, Syed Danial Ali Hafeez, Maryam Djemame, Karim Zaidi, Syed Ali Raza |
| author_facet | Nezami, Zeinab Shah, Syed Danial Ali Hafeez, Maryam Djemame, Karim Zaidi, Syed Ali Raza |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_23710 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems Nezami, Zeinab Shah, Syed Danial Ali Hafeez, Maryam Djemame, Karim Zaidi, Syed Ali Raza Systems and Control Artificial Intelligence Distributed, Parallel, and Cluster Computing Emerging Technologies 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. |
| title | From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems |
| topic | Systems and Control Artificial Intelligence Distributed, Parallel, and Cluster Computing Emerging Technologies |
| url | https://arxiv.org/abs/2505.23710 |