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cs.LG2026
Spatial PDE-aware Selective State-space with Nested Memory for Mobile Traffic Grid Forecasting
Zineddine Bettouche, Khalid Ali, Andreas Fischer +1
Traffic forecasting in cellular networks is a challenging spatiotemporal prediction problem due to strong temporal dependencies, spatial heterogeneity across cells, and the need fo…
cs.LG2025
Enhancing Spatiotemporal Networks with xLSTM: A Scalar LSTM Approach for Cellular Traffic Forecasting
Khalid Ali, Zineddine Bettouche, Andreas Kassler +1
Accurate spatiotemporal traffic forecasting is vital for intelligent resource management in 5G and beyond. However, conventional AI approaches often fail to capture the intricate s…