Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks
Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks
Forecasting with high accuracy the volume of data traffic that mobile users will consume is becoming increasingly important for precision traffic engineering, demand-aware network resource allocation, as well as public transportation. Measurements collection in dense urban deployments is however complex and expensive, and the post-processing required to make predictions is …