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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 strengthweather componentstropical propagationcoastal microclimateadaptive 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

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