From connectivity to autonomy: the dawn of self-evolving communication systems

This paper envisions 6G as a self-evolving telecom ecosystem, where AI-native capabilities enables dynamic adaptation, autonomy, and resilience beyond traditional connectivity. We present a conceptual framework integrating reconfigurable infrastructure, adaptive middleware, and intelligent network functions, augmented by multi-agent collaboration to support distributed decision-making and scalable automation. The paper outlines how these components can align with emerging industrial frameworks, ensuring seamless integration within smart manufacturing processes. Rather than offering empirical results, we articulate a forward-looking architecture and discuss its implications for real-time responsiveness, efficiency, and robustness in future networked control systems. Ethical, standardization, and deployment considerations are examined, culminating in a proposed technology stack to guide ongoing research and implementation. By synthesizing current trends in AI and telecom convergence, this work aims to inform the development of intent-aware, resilient, and adaptive communication systems for 6G and beyond.

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Publication Details

Journal
Frontiers in Communications and Networks
Published
2025-08-08
DOI
https://doi.org/10.3389/frcmn.2025.1606493
Citations
1
Primary Topic
Advanced Software Engineering Methodologies
Type
article
Field-Weighted Citation Impact
2.48

Funders

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article

From connectivity to autonomy: the dawn of self-evolving communication systems

Syed Ali Raza Zaidi, Zeinab Nezami, Karim Djemame, Syed Danial Ali Shah et al.
1 citations
Frontiers in Communications and Networks
Advanced Software Engineering Methodologies
2.48
article

From connectivity to autonomy: the dawn of self-evolving communication systems

Syed Ali Raza Zaidi, Zeinab Nezami, Karim Djemame, Syed Danial Ali Shah, Maryam Hafeez
article en
1 citations

Abstract

This paper envisions 6G as a self-evolving telecom ecosystem, where AI-native capabilities enables dynamic adaptation, autonomy, and resilience beyond traditional connectivity. We present a conceptual framework integrating reconfigurable infrastructure, adaptive middleware, and intelligent network functions, augmented by multi-agent collaboration to support distributed decision-making and scalable automation. The paper outlines how these components can align with emerging industrial frameworks, ensuring seamless integration within smart manufacturing processes. Rather than offering empirical results, we articulate a forward-looking architecture and discuss its implications for real-time responsiveness, efficiency, and robustness in future networked control systems. Ethical, standardization, and deployment considerations are examined, culminating in a proposed technology stack to guide ongoing research and implementation. By synthesizing current trends in AI and telecom convergence, this work aims to inform the development of intent-aware, resilient, and adaptive communication systems for 6G and beyond.

Frontiers in Communications and NetworksVol. 6
University of Leeds (GB)
UK Research and Innovation, Engineering and Physical Sciences Research Council
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Advanced Software Engineering Methodologies
2.48
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From connectivity to autonomy: the dawn of self-evolving communication systems — Syed Ali Raza Zaidi, Zeinab Nezami, et al. · Frontiers in Communications and Networks (2025) | TGRS Research Map | TGRS