AI RESEARCH

Towards Flexible Spectrum Access: Data-Driven Insights into Spectrum Demand

arXiv CS.AI

ArXi:2603.09942v1 Announce Type: cross In the diverse landscape of 6G networks, where wireless connectivity demands surge and spectrum resources remain limited, flexible spectrum access becomes paramount. The success of crafting such schemes hinges on our ability to accurately characterize spectrum demand patterns across space and time. This paper presents a data-driven methodology for estimating spectrum demand variations over space and identifying key drivers of these variations in the mobile broadband landscape.