AI RESEARCH
A Family of Open Time-Series Foundation Models for the Radio Access Network
arXiv CS.LG
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ArXi:2604.04271v1 Announce Type: cross The Radio Access Network (RAN) is evolving into a programmable and disaggregated infrastructure that increasingly relies on AI-native algorithms for optimization and closed-loop control. However, current RAN intelligence is still largely built from task-specific models tailored to individual functions, resulting in model fragmentation, limited knowledge sharing across tasks, poor generalization, and increased system complexity. To address these limitations, we