Towards Resilient and Autonomous Networks: A BlueSky Vision on AI-Native 6G
The paper discusses the integration of Artificial Intelligence into 6G networks to enhance their resilience and autonomy. It proposes a shift from a model where networks serve AI to one where AI optimizes network management. The authors outline a vision for a unified 6G foundation model and multi-agent systems for efficient network operation.
- ▪The paper presents a vision for integrating AI into 6G networks to meet the demands of emerging applications.
- ▪It emphasizes a transition from scattered models in 5G to a foundation model for 6G that supports diverse tasks.
- ▪The proposed multi-agent systems aim to autonomously manage network operations with minimal human intervention.
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Computer Science > Artificial Intelligence arXiv:2605.21395 (cs) [Submitted on 20 May 2026] Title:Towards Resilient and Autonomous Networks: A BlueSky Vision on AI-Native 6G Authors:Liang Wu, Kelly Wan, Mayank Darbari, Liangjie Hong View a PDF of the paper titled Towards Resilient and Autonomous Networks: A BlueSky Vision on AI-Native 6G, by Liang Wu and 3 other authors View PDF HTML (experimental) 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}.
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