Network Coverage Planning by Measurements for Cell Radius and Coverage Area Estimation with Geometrical Mapping and Kriging Interpolation Techniques

Abstract

A proper cell radius and coverage probability modeling is very crucial for the design of effective wireless networks. Some of the methods used are based on ideal geometric models like the hexagonal cell model or path loss formula of radio wave propagation. These methods do not take into account the random interference effects of the urban clutter. This study will look at the two distinct methods of modeling; Geometric mapping method using the ideal propagation environment model and Kriging Interpolation technique using the actual signal measurement to determine the coverage. By leveraging the spatial correlation inherent in Radio Frequency (RF) signals, we demonstrate how Kriging provides a superior estimation of the Effective Cell Radius and overall Coverage Area compared to standard Geometric mapping method.