Effects of meteorological variables on the quality of service of mobile networks in Yenagoa – southern Nigeria
Department of Physics, Federal University Otuoke, Nigeria.
Research Article
Global Journal of Engineering and Technology Advances, 2024, 20(03), 150–164.
Article DOI: 10.30574/gjeta.2024.20.3.0171
Publication history:
Received on 04 August 2024; revised on 20 September 2024; accepted on 23 September 2024
Abstract:
The nexus of this study is to investigate the dependencies of CSSR and DCR on Meteorological parameters for four mobile networks in Yenagoa. The Meteorological parameters used, temperature and relative humidity, were obtained from Nigerian Meteorological Agency. These data which span from January 2014 to December 2023 were averaged to obtain monthly mean temperature and relative humidity for Yenagoa. CSSR and DCR monthly data from January 2014 to December 2023 for Yenagoa were obtained from NCC, Abuja. Correlation coefficients between CSSR and Temperature, CSSR and relative humidity, DCR and temperature, DCR and relative humidity were 0.49, -0.47, -0.35, 0.29 for MTN network, 0.56, -0.02, -0.47, 0.31 for Airtel network, 0.21, -0.34, -0.11, -0.26 for 9mobile and 0.69, -0.04, -0.25, 0.00 for Globacom network. Graphs were plotted using QoS KPIs as the dependent variable while the weather parameters were the independent variables. Regression models were developed for predicting CSSR and DCR, provided, the temperature or relative humidity at that particular time is known. It was concluded that an increase in temperature and relative humidity led to an increase in CSSR and vice versa, while an increase in temperature and relative humidity led to a decrease in DCR and vice versa. This result will be useful to network operators and planners, enabling them to develop an efficient link margin in order to achieve a better QoS. Researchers should investigate QoS KPIs and how they are affected by other meteorological parameters.
Keywords:
Call Setup Success Rate; Dropped Call Rate; Temperature; Relative Humidity; Key Performance Indicator; Handover Failure Rate; Data; Mobile Network
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0