Coordinated Licenced DSA for Streamlined LAL and SAL Access and Coexistence

The QMUL Spectrum Sandbox project presents a dynamic spectrum access (DSA) framework to optimize Local Access Licence (LAL) and Shared Access Licence (SAL) spectrum sharing. We integrate MATLAB-based ray tracing with LiDAR-enhanced OpenStreetMap data for precise environmental modeling. A machine learning (ML) pipeline accelerates path loss (PL) predictions, achieving near-ray-tracing accuracy while significantly reducing computation time. Results demonstrate improved spectrum utilization, optimized base station deployment, and minimized interference in Band 3 (1800 MHz) and n77 (3.8–4.2 GHz), offering a scalable approach for future spectrum-sharing policies.