Research Article Open Access

Path Loss Prediction Using Fuzzy Inference System and Ellipsoidal Rules

Mario Versaci1, Salvatore Calcagno1, Fabio La Foresta1 and Biagio Cammaroto2
  • 1 University Mediterranea, Italy
  • 2 University of Messina, Italy
American Journal of Applied Sciences
Volume 9 No. 12, 2012, 1940-1943

DOI: https://doi.org/10.3844/ajassp.2012.1940.1943

Submitted On: 15 September 2012 Published On: 6 December 2012

How to Cite: Versaci, M., Calcagno, S., Foresta, F. L. & Cammaroto, B. (2012). Path Loss Prediction Using Fuzzy Inference System and Ellipsoidal Rules. American Journal of Applied Sciences, 9(12), 1940-1943. https://doi.org/10.3844/ajassp.2012.1940.1943

Abstract

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.

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Keywords

  • Path Loss
  • Soft Computing
  • Fuzzy Inference System
  • Ellipsoidal Rules