Data-Driven Spectrum Demand Prediction: A Spatio-Temporal Framework with Transfer Learning

Amin Farajzadeh, Hongzhao Zheng, Sarah Dumoulin +3

Accurate spectrum demand prediction is crucial for informed spectrum allocation, effective regulatory planning, and fostering sustainable growth in modern wireless communication ne…