Towards Resilient and Autonomous Networks: A BlueSky Vision on AI-Native 6G

• URL: http://arxiv.org/abs/2605.21395v1
• Date: Wed, 20 May 2026 16:53:06 GMT
• Title: Towards Resilient and Autonomous Networks: A BlueSky Vision on AI-Native 6G
• Abstract summary: We envision that native AI in the 6G era will be anchored by a foundation model and and orchestrated via collaborative multi-agent systems.<n>The first focuses on developing a 6G foundation model as a unified backbone, with task-specific knowledge distilled into compact models suited for diverse edge deployments.<n>The second advances multi-agent systems designed to autonomously diagnose, maintain, and recover networks with minimal human intervention.
• Score: 4.5227293682646845
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The proliferation of emerging applications, such as autonomous driving and immersive experiences, demands cellular networks that are not only faster, but fundamentally more resilient and autonomous. This paper presents a BlueSky vision on how Artificial Intelligence will be natively integrated into 6G, shifting the paradigm from \underline{Network for AI} to \underline{AI for Network}. We envision that, unlike 5G's reliance on scattered, ad-hoc models each trained for a single task, native AI in the 6G era will be anchored by a foundation model and and orchestrated via collaborative multi-agent systems, framing network management as a unified, multi-modal, multi-task optimization problem. Built on this vision, we outline two transformative directions. The first focuses on developing a 6G foundation model as a unified backbone, with task-specific knowledge distilled into compact models suited for diverse edge deployments. The second advances multi-agent systems designed to autonomously diagnose, maintain, and recover networks with minimal human intervention. These directions chart a roadmap for 6G to evolve into an intelligent, self-sustaining communication infrastructure.

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