AI RESEARCH
Quantum Machine Learning-based 6G edge Network: Enabling Adaptive Communication and Model Aggregation
arXiv CS.AI
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ArXi:2605.27417v1 Announce Type: cross With the advent of sixth-generation (6G) mobile communication technology, vehicle-to-everything (V2X) communication faces unprecedented challenges in communication efficiency, system generalization capabilities, and model collaboration. Conventional machine learning struggles with high-dimensional state spaces, slow convergence, and poor generalization under heterogeneous V2X nodes, rapidly varying channels, and multimodal sensing data in V2X systems.