From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems

• URL: http://arxiv.org/abs/2505.23710v1
• Date: Thu, 29 May 2025 17:45:02 GMT
• Title: From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems
• Authors: Zeinab Nezami, Syed Danial Ali Shah, Maryam Hafeez, Karim Djemame, Syed Ali Raza Zaidi,
• Abstract summary: This paper envisions 6G as a self-evolving telecom ecosystem, where AI-driven intelligence enables dynamic adaptation beyond static connectivity.<n>We explore the key enablers of autonomous communication systems, spanning reconfigurable infrastructure, adaptive networked and intelligent network functions.<n>Our findings emphasize the potential for improved real-time decision-making, optimizing efficiency, and reducing latency in control systems.
• Score: 0.37282630026096586
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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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