Fuzzy adaptive neural network approach to path loss prediction in urban areas at GSM-900 band

Authors

TÜRKAN ERBAY DALKILIÇ
BERNA YEŞİM HANCI
AYŞEN APAYDIN

DOI

10.3906/elk-0904-18

Abstract

This paper presents the results of the Adaptive-Network Based Fuzzy Inference System (ANFIS) for the prediction of path loss in a specific urban environment. A new algorithm based ANFIS for tuning the path loss model is introduced in this work. The performance of the path loss model which is obtained from proposed algorithm is compared to the Bertoni-Walfisch model, which is one of the best studied for propagation analysis involving buildings. This comparison is based on the mean square error between predicted and measured values. According to the indicated error criterion, the errors related to the predictions that are obtained from the algorithm are less than the errors that are obtained from the Bertoni-Walfisch Model. In this study, propagation measurements were carried out in the 900 MHz band in the city of Istanbul, Turkey.

Keywords

ANFIS, propagation measurements, path loss, urban environment

First Page

1077

Last Page

1094

Recommended Citation

DALKILIÇ, TÜRKAN ERBAY; HANCI, BERNA YEŞİM; and APAYDIN, AYŞEN (2010) "Fuzzy adaptive neural network approach to path loss prediction in urban areas at GSM-900 band," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 18: No. 6, Article 12. https://doi.org/10.3906/elk-0904-18
Available at: https://journals.tubitak.gov.tr/elektrik/vol18/iss6/12