AI RESEARCH
Spatial PDE-aware Selective State-space with Nested Memory for Mobile Traffic Grid Forecasting
arXiv CS.LG
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ArXi:2603.12353v1 Announce Type: new Traffic forecasting in cellular networks is a challenging spatiotemporal prediction problem due to strong temporal dependencies, spatial heterogeneity across cells, and the need for scalability to large network deployments. Traditional cell-specific models incur prohibitive