Applies deep regression to model spatiotemporal mobile traffic dynamics as an image-to-image task and reports lower prediction error than prior methods on a public European dataset.
Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach
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Forecasting Mobile Traffic with Spatiotemporal correlation using Deep Regression
Applies deep regression to model spatiotemporal mobile traffic dynamics as an image-to-image task and reports lower prediction error than prior methods on a public European dataset.