A software tool for coverage planning through different applications of optimal spatial interpolation

Abstract

In the recent years there has been an effort for the wireless systems to become more efficient in terms of power consumption and coverage planning. One aspect of this effort was the proposal of using spatial estimation approaches, that exploit the spatial correlation of the shadowing and received power, to improve propagation prediction. In this demonstration, we present a software tool that implements these spatial estimation approaches and can be a part of a general network planning tool. Among others, it can provide a valuable insight on which of the approaches provide better results in a given situation, or information about the needed drive test measurements. Our demonstration is based on real, high spatially granular measurement data in various environments and frequencies, but it can be easily extended though to real-time data acquisition from portable spectrum measurement devices, smartphones or drive test measurements.