A.O. Usman

Work place: Department of Physics, Federal University Lokoja, Kogi State, Nigeria

E-mail:

Website: 0009-0001-2808-3210

Research Interests:

Biography

Ituabhor Odesanya, received Ph.D and M.Sc. degrees in Physics Electronics, 2017 and 2010 respectively
from the University of Benin, Edo State, Nigeria, and a B.Sc in Applied Physics in 2006. She is currently an
academic staff in the Physics Department, Federal University Lokoja, Kogi State. She has published both
nationally and internationally in the area of artificial neural network, Wireless Mobile communications. Her
area of interest is artificial intelligence and Wireless communication. She recently got certified by Microsoft in
Azure AI fundamentals.

Author Articles
Influence of Temperature and Relative Humidity on Call Drop and Radio Resource Control in Lokoja Metropolis

By A.O. Usman I. Odesanya U. Z. Jangfa

DOI: https://doi.org/10.5815/ijem.2026.02.04, Pub. Date: 8 Apr. 2026

This study examines the relationship betweenatmospheric factors [temperature and relative humidity] and network performance [call drop and Radio Resource Control] in Lokoja Metropolis. Monthly data collected from Globacom[GLO] office in Lokoja and Nigerian Meteorological Agency [NIMET] office in Lokoja over a one-year period reveals significant correlations between atmospheric variables [Temperature and relative humidity] and network performance [Call drop and Radio Resource Control]. We observed that call drop is directly proportional to temperature and relative humidity, while Radio Resource Control [RRC] has an inverse proportionality with temperature and relative humidity, assuming other meteorological variables are kept constant. Statistically, call drop showed a positive correlation of 0.35493 with temperature and 0.63769 with relative humidity, while RRC showed a positive correlation of 0.37289 with temperature and 0.5756 with relative humidity. Taken together, these findings indicated that increased temperature and humidity increased call drops and lower Radio Resource Control [RRC] success rates. This research has provided insights useful to the telecom operators and regulatory bodies to ensure network reliability, better resource allocation, environmental consideration and quality of service in tropical regions similar to Lokoja. Additionally, this research can also be useful in identifying key performance indicators, developing mitigation strategies, improving network maintenance and enhancing customer experience. Correlations were measured using Pearson correlation coefficients at a 5% significance level. These findings imply that network operators must account for atmospheric variability in optimizing reliability, resource allocation, and planning for mobile services in tropical climates. Despite being weak, this correlation is statistically significant and meaningful in real-world scenarios where multiple environmental and operational factors collectively influence call drops.

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