AI-Enabled Data-driven Intelligence for Spectrum Demand Estimation

Researchers developed an AI-driven approach to forecast spectrum demand for wireless networks, achieving 89% accuracy when tested across five Canadian cities. The machine learning models use multiple data sources including site licenses and crowdsourced data to help regulators optimize spectrum allocation and planning.