International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 15, No. 4, 8 Aug. 2023
Cover page and Table of Contents: PDF (size: 1494KB)
Radio Spectrum Measurement Modeling and Prediction based on Adaptive Hybrid Model for Optimal Network Planning
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Author(s)
Index Terms
Communication, Path Loss, log-distance, Wavelet, Levenberg-Marquart, communication.
Abstract
Path loss model is fundamental to effective network planning. It provides adequate information on the extent of signal loss and help to improve the quality of service of cellular communication in an area. In this paper we used a hybrid wavelet and improved log-distance model for modeling and prediction of propagation path loss in an irregular terrain. The prediction accuracy of the proposed model was quantified using five statistical metrics. As seen presented in Table 2 and Table 3, the proposed model outperformed the standard log-distance model, the COST234 Hata and Okumura Hata models by an average of 20%.
Cite This Paper
Seyi E. Olukanni, Joseph Isabona, Ituabhor Odesanya, "Radio Spectrum Measurement Modeling and Prediction based on Adaptive Hybrid Model for Optimal Network Planning", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.15, No.4, pp. 19-32, 2023. DOI:10.5815/ijigsp.2023.04.02
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