Radio Spectrum Measurement Modeling and Prediction based on Adaptive Hybrid Model for Optimal Network Planning
Автор: Seyi E. Olukanni, Joseph Isabona, Ituabhor Odesanya
Журнал: International Journal of Image, Graphics and Signal Processing @ijigsp
Статья в выпуске: 4 vol.15, 2023 года.
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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%.
Communication, Path Loss, log-distance, Wavelet, Levenberg-Marquart, communication.
Короткий адрес: https://sciup.org/15018768
IDR: 15018768 | DOI: 10.5815/ijigsp.2023.04.02
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