Comparative analysis of spatial interpolation methods of different field measurements for cognitive radio

Abstract

Spectrum has become one of the essential needs of living in the modern world. However, the emerging needs in wireless communications is making the spectrum congested, and hence there might be a scarcity of spectrum in future. Cognitive Radio (CR) is a niche technology to increase the effective utilization of spectrum by the opportunistic usage of idle spectrum resource dynamically. To evaluate different spatial interpolation techniques, the data used in this paper is from the field measurements from Wise-Project Measurement Report: “PMSE Protection Measurements in Helsinki City Theatre” and applied interpolation techniques in ARCGIS software such as Inverse Distance Weighting (IDW), Theissen or Voronoi interpolation, ordinary, universal and indicator kriging. Accuracy in estimation is measured using cross validation of root mean square error [RMSE], and it is used for the comparison of interpolation methods applied to the field measurement data.