Comparison of 1800MHz Frequency Bands Path Loss Measurements with Conventional Models in Osun State, Nigeria release_fgrns55ej5hq3g5uyltfzhcoaq

by Kingsley Eghonghon Ukhurebor, Isaac Chukwutem Abiodun

Published in Current Applied Science and Technology by King Mongkut's Institute of Technology Ladkrabang.

2021   Volume 22

Abstract

The role of propagation models in the planning of wireless network, evaluation of cell parameters and frequency assignment cannot be overemphasized. One of the major difficulties with the application of path loss predicting models for any environment is that no two environments are the same in building patterns, terrain, atmospheric conditions, etc. It is therefore impracticable to formulate a single path loss model for all environments. In this study, an assessment of microwave frequency band measurement results based on received signal strength (RSS) values from four base stations in four urban environments in Osun State, Nigeria, are presented. The measured path loss values of each base station were extracted from the RSS values and compared with the results estimated from five conventional path loss models. Model comparison results based on three metric measures and fitting accuracy showed that a log-normal shadowing model exhibited a better agreement with the measured path loss with RMSE of less than 8 dB, the lowest RE, and R2 closer to one, in all the environments monitored. The best probable probability distribution for modelling the path loss at the investigated urban environments was also determined. The result of the various distribution functions tested using three goodness of fits showed that the normal distribution function offered the best match with the path loss values based on RMSE, RE, and R2 values calculated and fitting accuracy for both environments. Practical path loss parameters were also estimated for each of the base stations considered. The overall results should be useful for planning future mobile network channels.
In application/xml+jats format

Archived Files and Locations

application/pdf   805.3 kB
file_umb4xwlvlrbz7i22psw67hqyim
li01.tci-thaijo.org (publisher)
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  article-journal
Stage   published
Date   2021-07-13
Container Metadata
Not in DOAJ
Not in Keepers Registry
ISSN-L:  2586-9396
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: b4bd6af4-6342-4a21-b3ed-8770f712997f
API URL: JSON