Empirical Valuation of Multi-Parameters and RMSE-Based Tuning Approaches for the Basic and Extended Stanford University Interim (SUI) Propagation Models

In this paper, the prediction performance evaluation of Stanford University Interim (SUI) Model and the extended SUI model are presented. More importantly, the effectiveness of two model tuning approaches, namely, RMSE-based tuning and multi-parameter tuning are assessed based on empirical pathloss...

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Bibliographic Details
Main Authors: Constance Kalu, Bliss Utibe-Abasi Stephen, Mfonobong Charles Uko
Format: Article
Language:English
Published: Varepsilon Ltd. 2017-01-01
Series:Mathematical and Software Engineering
Subjects:
Online Access:http://varepsilon.com/index.php/mse/article/view/26