Agentic TinyML for Intent-aware Handover in 6G Wireless Networks
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866911349336965120 |
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| author | Saleh, Alaa Morabito, Roberto Tarkoma, Sasu Lindgren, Anders Pirttikangas, Susanna Lovén, Lauri |
| author_facet | Saleh, Alaa Morabito, Roberto Tarkoma, Sasu Lindgren, Anders Pirttikangas, Susanna Lovén, Lauri |
| contents | As 6G networks evolve into increasingly AI-driven, user-centric ecosystems, traditional reactive handover mechanisms demonstrate limitations, especially in mobile edge computing and autonomous agent-based service scenarios. This manuscript introduces WAAN, a cross-layer framework that enables intent-aware and proactive handovers by embedding lightweight TinyML agents as autonomous, negotiation-capable entities across heterogeneous edge nodes that contribute to intent propagation and network adaptation. To ensure continuity across mobility-induced disruptions, WAAN incorporates semi-stable rendezvous points that serve as coordination anchors for context transfer and state preservation. The framework's operational capabilities are demonstrated through a multimodal environmental control case study, highlighting its effectiveness in maintaining user experience under mobility. Finally, the article discusses key challenges and future opportunities associated with the deployment and evolution of WAAN. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_09147 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Agentic TinyML for Intent-aware Handover in 6G Wireless Networks Saleh, Alaa Morabito, Roberto Tarkoma, Sasu Lindgren, Anders Pirttikangas, Susanna Lovén, Lauri Networking and Internet Architecture Artificial Intelligence Distributed, Parallel, and Cluster Computing Machine Learning Multiagent Systems As 6G networks evolve into increasingly AI-driven, user-centric ecosystems, traditional reactive handover mechanisms demonstrate limitations, especially in mobile edge computing and autonomous agent-based service scenarios. This manuscript introduces WAAN, a cross-layer framework that enables intent-aware and proactive handovers by embedding lightweight TinyML agents as autonomous, negotiation-capable entities across heterogeneous edge nodes that contribute to intent propagation and network adaptation. To ensure continuity across mobility-induced disruptions, WAAN incorporates semi-stable rendezvous points that serve as coordination anchors for context transfer and state preservation. The framework's operational capabilities are demonstrated through a multimodal environmental control case study, highlighting its effectiveness in maintaining user experience under mobility. Finally, the article discusses key challenges and future opportunities associated with the deployment and evolution of WAAN. |
| title | Agentic TinyML for Intent-aware Handover in 6G Wireless Networks |
| topic | Networking and Internet Architecture Artificial Intelligence Distributed, Parallel, and Cluster Computing Machine Learning Multiagent Systems |
| url | https://arxiv.org/abs/2508.09147 |