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On the Response of Basic Walfisch-Ikegami and Walfisch-Bertoni Models to QMM Calibration
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 174 - Number 18 |
| Year of Publication: 2021 |
| Authors: Ayotunde Ayorinde, Hisham Muhammed, A. Ike Mowete |
10.5120/ijca2021921100
|
Ayotunde Ayorinde, Hisham Muhammed, A. Ike Mowete . On the Response of Basic Walfisch-Ikegami and Walfisch-Bertoni Models to QMM Calibration. International Journal of Computer Applications. 174, 18 ( Feb 2021), 53-64. DOI=10.5120/ijca2021921100
Abstract
This paper systematically examines the response to Quasi-Moment-Method (QMM) calibration, of the basic COST231-Walfisch-Ikegami, ITUR-Walfisch-Ikegami, and Walfisch-Bertoni models. First, it is demonstrated that the component parameters of the models are suitable candidates for use as expansion/testing functions with QMM pathloss model calibration schemes; and thereafter, the basic models are subjected to calibration, using measurement data available in the open literature. Computational results reveal that the COST231-Walfisch-Ikegami and ITU-Walfisch-Ikegami models have virtually identical QMM-calibration root mean square error (RMSE) responses; and that the Walfisch-Bertoni model has better RMSE responses than both of them. A particular attribute revealed by the simulation results is that all QMM-calibrated ‘Walfisch-type’ basic models have excellent mean prediction error (MPE) metrics (in general, less than 0.001dB). In addition to pathloss prediction profiles, the paper also presents profiles of disaggregated net pathloss, in terms of contributions by component parameters, including ‘roof-top-to-street’ diffraction and scatter loss and multiscreen diffraction loss.
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