PERSPECTIVE article
Front. Commun. Netw.
Sec. Data Science for Communications
Volume 6 - 2025 | doi: 10.3389/frcmn.2025.1606493
From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems
Provisionally accepted
- University of Leeds, Leeds, United Kingdom
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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.
Keywords: Telecommunication network, Open-endedness, autonomy, self-evolving, 6G, AI-Telecom Architecture, agent
Received: 05 Apr 2025; Accepted: 21 Jul 2025.
Copyright: © 2025 Nezami, Shah, Hafeez, Djemame and Zaidi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Zeinab Nezami, University of Leeds, Leeds, United Kingdom
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.