Data-Driven Fusion of Gaussian Process Regression and 3GPP Models for Urban Path Loss Prediction
Accurate cell-specific signal strength maps are essential for coverage analysis and interference assessment in dense urban networks. However, drive-test measurements are typically spatially sparse, leaving many street segments unobserved. This paper proposes a physics-informed hybrid model for street-level pathloss pre...