Spatial Clustering of LTE Base Stations for Spectrum Usage Diagnosis in Congested Areas

This poster presents a method to cluster LTE base stations based on their locations to diagnose the usage of fragmented spectrum resources. The growing demand for low-frequency spectrum in next-generation networks highlights the need to evaluate the adequacy of LTE spectrum utilization. We analyze resource block usage data from a congested area in Korea, provided monthly by mobile network operators. Density-based clustering and Voronoi diagrams are applied to divide regions and assess total spectrum utilization. Probabilistic modeling using the areas of the regions provides an indicator of spectrum utilization.