Interpolation Methods for Coverage Area in Cellular Systems
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Evaluating the coverage area in a wireless network is very important for cellular system designers in order to provide good service to users. It is hard to collect the Receive Signal Level (RSL) for an entire coverage area because of many obstacles, such as buildings, lakes, and vegetation. Therefore, estimation of the coverage area is essential for locations for which it is difficult to measure the RSL. This dissertation considers the process of RSL interpolation. Two main aspects of the interpolation are considered. Firstly, various interpolation methods are considered and it was determined that a very good performance is obtained by using Krigging. The Kriggin method is not novel It has been used successfully in other areas and the work in this thesis demonstrates yet another of its applications. Secondly, a detailed study of the RSL surface spectral content has been performed. The purpose of this study is to determine the appropriate spatial frequency sampling requirements for the RSL surface. It is demonstrated that the RSL surface may be seen as a low pass image and therefore one can establish its bandwidth and corresponding spatial sampling distance. All of the theoretical results have been supported through real network measurements. The measurements were conducted in the suburban environment of Melbourne FL. It was found that the appropriate spatial sampling distance for these types of environments is on the order 80-100m.