NIAIDCLGMAAug 2, 2025

Agentic TinyML for Intent-aware Handover in 6G Wireless Networks

arXiv:2508.09147v15 citationsh-index: 47IEEE wireless communications
Originality Incremental advance
AI Analysis

This addresses handover inefficiencies in 6G networks for mobile edge computing and autonomous agent services, representing an incremental improvement with a novel method.

The paper tackles the problem of reactive handover limitations in 6G networks by introducing WAAN, a cross-layer framework that uses TinyML agents for intent-aware and proactive handovers, resulting in maintained user experience under mobility as demonstrated in a case study.

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.

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