Path Loss Prediction Using Fuzzy Inference System and Ellipsoidal Rules
Mario Versaci, Salvatore Calcagno, Fabio La Foresta and Biagio Cammaroto
DOI : 10.3844/ajassp.2012.1940.1943
American Journal of Applied Sciences
Volume 9, Issue 12
It is well known as the prediction of radio wave path loss in urban environment plays a key role in order to correctly plan wireless systems and mobile communication networks. To obtain more flexible prediction models able to give accurate results, in recent years Soft computing Techniques has been exploited. In this study, a novel approach based on ellipsoidal fuzzy inference system EFIS is investigated. Results compared with those provided by the Okumura Hata model and the standard Fuzzy Inference System approach (FIS) show superior performances of the EFIS approach.
© 2012 Mario Versaci, Salvatore Calcagno, Fabio La Foresta and Biagio Cammaroto. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.