Abstract
This paper provides a simple optimization procedure using ATOLL planning tool for Standard Propagation Model (SPM). Measurement campaigns were conducted to collect Received Signal Strength (RSS) data over commercial base stations operating at 1800 MHz. The prediction accuracy of widely used models were assessed. The models provided high prediction errors. The optimization procedure involves the use of Digital Terrain Model (DTM), clutter classes, clutter heights, vector maps, scanned images, and Web Map Service (WMS). A Logarithmic weighting function was used to calculate the weight of the clutter loss on each pixel from the pixel with the receiver in the direction of the transmitter, up to the defined maximum distance. The approach has proven promising by achieving high accuracy and minimizing the prediction errors by 47.4%.
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Acknowledgment
The authors wish to appreciate the Center for Research, Innovation, and Discovery (CU-CRID) of Covenant University, Ota, Nigeria for partly funding of this research.
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Popoola, S.I., Atayero, A.A., Faruk, N., Calafate, C.T., Olawoyin, L.A., Matthews, V.O. (2017). Standard Propagation Model Tuning for Path Loss Predictions in Built-Up Environments. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10409. Springer, Cham. https://doi.org/10.1007/978-3-319-62407-5_26
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