International Journal of Engineering and Modern Technology (IJEMT )

E-ISSN 2504-8848
P-ISSN 2695-2149
VOL. 11 NO. 5 2025
DOI: 10.56201/ijemt.vol.11.no5.2025.pg11.31


Weather Components and Network Signal Strength: An analysis of Yenagoa, Bayelsa State.

Geku Diton, Okafor, Joyce Odu


Abstract


This study investigates the impact of weather components—atmospheric temperature, relative humidity, and atmospheric pressure—on mobile network signal strength across four major providers (9Mobile, Airtel, MTN, and Glo) in Biogbolo, Yenagoa, Bayelsa State, Nigeria. Employing a mixed-methods approach, the research combined real-time field measurements using the Drive Test (DT) method with meteorological data analysis to evaluate signal performance under varying weather conditions. Findings revealed a consistent improvement in signal strength with increasing temperature, humidity, and pressure, though provider- specific variations were observed. For instance, while Airtel and Glo exhibited steady signal enhancement (up to 35dBm) across all weather extremes, 9Mobile showed degradation beyond 306K, indicating infrastructure-specific thresholds. Notably, higher humidity, contrary to some existing literature, enhanced signal quality, likely due to localized network optimizations for coastal microclimates. The study also identified a strong positive correlation (r > 0.95) between atmospheric pressure and signal performance, aligning with theoretical models like the Integrated Tropical Propagation Model (ITPM) but highlighting operational disparities among providers. These results challenge temperate-region propagation models, emphasizing the need for hyperlocal adaptations in tropical coastal areas. Practical implications include recommendations for adaptive network management, such as temperature-resilient base stations, humidity-aware frequency allocation, and pressure-compensation algorithms. For regulators, the study advocates weather-resilience standards and infrastructure-sharing frameworks to mitigate service disruptions. By bridging gaps in localized empirical research, this work contributes to climate-resilient telecommunications planning in the Niger Delta and similar regions, offering actionable insights for stakeholders


keywords:

Mobile network signal strength, weather components, tropical propagation, coastal microclimate, adaptive network management.


References:


Abdullahi, M. B. (2019). Climate-resilient telecommunications infrastructure in tropical
regions. Routledge. https://doi.org/10.4324/9780429028321
Adebusuyi, T., Ojo, J. S., & Adediji, A. T. (2023). 5G propagation challenges in coastal cities:
The case of millimeter wave deployment in Lagos. IEEE Transactions on Antennas and
Propagation, 71(4), 2987-2996. https://doi.org/10.1109/TAP.2023.3245678
Adediji, A. T., Ajewole, M. O., & Akinpelu, O. F. (2017). Temporal and spatial variability of
microwave radio refractivity in Nigeria. Journal of Atmospheric and Solar-Terrestrial
Physics, 160, 66–73.
Ajewole, M. O., Akinsanola, A. A., & Akinyemi, M. L. (2020). Diurnal variation in radio
refractivity and signal quality in Akure, Nigeria. Scientific African, 7, e00224.
Akpootu, D. O., & Sharafa, S. A. (2024). Effects of meteorological parameters on signal
attenuation in Guinea Savannah Nigeria. Journal of Atmospheric and Oceanic
Technology, 41(2), 90–102.
Amajama, I. A., Emagbetere, J. O., & Osemwegie, E. A. (2023). Impact of Radio Refractivity
on Signal Strength in Benin City, Nigeria. Nigerian Journal of Technology, 42(1), 112–
Ashidi, E. E. (2024). AI-driven modeling of refractivity trends and their impact on mobile
communication in Nigeria. Telecommunications Policy, 48(2), 102594.
Bala, D., Musa, A., & Ibrahim, M. (2021). Comparative analysis of GSM signal propagation
in northern and southern Nigeria. Journal of African Telecommunications Research,
15(2), 45-62. https://doi.org/10.1016/j.jatr.2021.03.005
Bayelsa State Telecommunications Project. (2022). Annual technical report on network
optimization in coastal environments. BSTP Press.
Benjamin, K. A. (2023). Effects of Atmospheric Refractivity on GSM Networks in South-
South Nigeria. African Journal of Science, Technology and Society, 12(4), 45–59.
Chukwuma, V. C., & Ndujiuba, C. U. (2021). Frequency-dependent radio wave propagation in
tropical
coastal
areas. Wireless
Personal
Communications,
118(3),
2345-
https://doi.org/10.1007/s11277-021-08138-1
Durodola, T. O., Afolabi, B. B., & Eze, C. (2025). Seasonal refractivity patterns and network
reliability in Jos, Nigeria. Nigerian Journal of Meteorology and Climate Studies, 10(1),
22–31.
Ekpo, S. C., & Udoh, E. J. (2023). Location-specific network optimization in the Niger Delta
region. Nigerian Journal of Engineering, 34(1), 78-92.
Falade, A. J., & Chukwuma, V. C. (2023). Hyperlocal propagation models for tropical coastal
cities. IEEE
Access,
11,
45678-
https://doi.org/10.1109/ACCESS.2023.3276541
Falade, A. J., Ojo, J. S., & Adediji, A. T. (2023). Integrated tropical propagation model for
West African coastal cities. Journal of Network and Computer Applications, 210,
https://doi.org/10.1016/j.jnca.2023.103542
Friis, H. T. (1946). A note on a simple transmission formula. Proceedings of the IRE, 34(5),
254-256. https://doi.org/10.1109/JRPROC.1946.234568
International Telecommunication Union. (2023). ITU-R P.1812-9: Propagation data and
prediction methods for terrestrial services. ITU Publications.
Isabona, J., & Srivastava, V. M. (2023). Tropical electromagnetics: New foundations for
African network planning. Springer Nature. https://doi.org/10.1007/978-3-031-23456-
7
Norton, K. A. (1937). The propagation of radio waves over the surface of the earth and in the
upper
atmosphere. Proceedings
of
the
IRE,
25(9),
1203-
https://doi.org/10.1109/JRPROC.1937.228535
Nwankwo, C. P., & Adeleke, O. J. (2020). Signal degradation models for high humidity
tropical environments. African Journal of Science and Technology, 21(3), 112-125.
Nwankwo, C. P., & Edeko, F. O. (2021). Diurnal signal strength variations in Warri: Empirical
validation of propagation models. Journal of Engineering and Applied Sciences, 16(4),
987-1002. https://doi.org/10.3923/jeasci.2021.987.1002
Ogunseye, S. M., Bello, O. H., & Adeyemi, A. B. (2021). Temperature effects on radio wave
propagation in tropical climates. Progress in Electromagnetics Research B, 89, 1-
https://doi.org/10.2528/PIERB20101203
Ojo, J. S., & Adediji, A. T. (2023). Humidity-induced surface wave enhancement in Lagos
lagoon
areas. Radio
Science,
58(3),
e2022RS007543. https://doi.org/10.1029/2022RS007543
Ojo, M. A. (2023). Spatial variation of radio refractivity and its effects on mobile signals in
Nigeria. West African Journal of Applied Science, 14(2), 33–48.
Okonigene, R. E., & Ighalo, G. I. (2023). Weather-adaptive 5G in Nigeria: Case studies from
the
Niger
Delta. IEEE
Nigerian
Section
Conference
Proceedings (pp.
1-
6). https://doi.org/10.1109/NIGERCON51789.2023.00010
Omotoso, T. M., & Olajide-Owoyomi, O. A. (2025). Diurnal and seasonal refractivity
variability in coastal Nigeria. International Journal of Communication Systems, 38(1),
e4960.
Rappaport, T. S., MacCartney, G. R., & Sun, S. (2022). Modern wireless communications: The
advanced theory behind 5G, 6G and beyond. Cambridge University Press.
Sanyaolu, R. A., Umeh, C. I., & Ibrahim, A. J. (2025). Temporal fluctuations of refractivity
and their impact on GSM field strength. Journal of Telecommunications and Digital
Economy, 13(1), 78–92.
Seybold, J. S. (2020). Introduction to RF propagation. John Wiley & Sons.
Telecoms Sans Frontières. (2022). Infrastructure sharing in emerging markets: Case studies
from Africa. TSF Publications.
Zhang, Y., & Zhao, X. (2022). Modern tropospheric scattering theory: Applications in tropical
coastal
environments. IEEE
Communications
Magazine,
60(5),
78-
https://doi.org/10.1109/MCOM.001.2100659


DOWNLOAD PDF

Back


Google Scholar logo
Crossref logo
ResearchGate logo
Open Access logo
Google logo