References
Adeleke, A., & Lawal, M. (2022). Artificial intelligence for inclusive digital transformation in Africa: Prospects and challenges. Journal of Information Technology in Developing Regions, 18(2), 45–61. Adeyemi, O. A., Aderemi, A. T., & Sanni, M. L. (2024). AI-driven predictive maintenance models for enhancing base transceiver station (BTS) reliability in a developing economy. Nigerian Journal of Technological Development, 21(1), 45-56. Adeyemi, S., Ojo, A., & Nwachukwu, P. (2024). Predictive maintenance in African telecommunications: The role of AI in reducing downtime. International Journal of Wireless Communications and Technology, 12(1), 25–39. Agiwal, M., Kwon, H., Park, S., & Jin, H. (2021). A survey on 5G and beyond network automation: Standardization, tools, and challenges. IEEE Communications Surveys & Tutorials, 23(1), 464-488. Alamu, O., Gbolagade, K. A., & Oyewola, D. O. (2023). Machine learning for traffic classification and network optimization in 5G-enabled Nigerian mobile networks. Journal of Applied Science and Technology, 28(2), 112-125. Danbatta, U. M. (2021). Keynote address: Embracing digital transformation for sustainable development in Nigeria’s telecommunications sector. Presented at the Nigerian Telecommunications Conference, Abuja. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008 Effiong, S. E., Obot, A. B., & Udofia, K. M. (2025). Review on artificial intelligence application for enhancing path loss for resource management in 5G network. International Journal of Progressive Research in Science and Engineering, 6(2), 45– Eke, C. I., Norman, A. A., & Shuel, M. (2023). The ethical imperative and regulatory challenges of artificial intelligence in Africa’s digital economy. African Journal of Information and Communication, 31, 1-20. Folorunso, S. O., Ogundele, O. S., & Adeyemo, J. D. (2022). Anomaly-based intrusion detection system for 5G network slicing using deep learning approach. International Journal of Information Security Research, 12(3), 345-357. Gbenga-Ilori, A., Imoize, A. L., Noor, K., & Adebolu-Ololade, P. O. (2025). Artificial intelligence empowering dynamic spectrum access in advanced wireless communications: A comprehensive overview. AI, 6(6), https://doi.org/10.3390/ai6060126 Maitanmi, O., Ayeni, F., & Ogunlana, O. (2023). Artificial intelligence readiness in the Nigerian telecommunications industry: An exploratory study. Journal of Science and Technology Policy Management, 14(4), 721-738. Ndubuisi, C. (2022). Ethical and regulatory implications of AI adoption in Nigeria. Journal of Technology and Society, 10(1), 34–52. Nigerian Communications Commission (NCC). (2023). NCC industry data: Telecoms industry statistics. https://www.ncc.gov.ng/statistics-reports/industry-overview Okafor, E., & Eze, V. (2023). Economic sustainability of AI in African telecoms: Public– private partnership perspectives. African Journal of Economics and Innovation, 9(3), 142–158. Olanrewaju, B., & Joshua, T. (2023). Infrastructure realities and the adoption of AI in Nigerian ICT sector. Journal of African Technological Studies, 11(2), 55–72. Oluwatimilehin, A. T., Igbekoyi, O., Ogungbade, O., & Adewara, Y. (2023). Artificial intelligence and service quality of telecommunication firms in Nigeria. Journal of Economics, Finance and Accounting Studies, 5(3), 203–214. Retrieved from ResearchGate Oluwatimilehin, K., Adebayo, J., & Sanni, R. (2023). Awareness and perceptions of artificial intelligence in African telecom markets. Journal of ICT Development Studies, 17(2), 98–115. Orike, S., Ekolama, S. M., & Jane, A. (2024). A pragmatic investigation of artificial intelligence algorithms implementation to signal processing for cellular networks. International Journal of Wireless Communications and Networking Research. Retrieved from ResearchGate Oseni, T. F., Ojo, S. O., & Olorunyomi, B. O. (2022). Analysis of quality of service (QoS) of GSM networks in Lagos Metropolis, Nigeria. Journal of Engineering and Applied Sciences, 17(4), 987-1000. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York, NY: Free Press. Scholarly reflections on AI and communication research in Nigeria: A systematic review. (2024). International Journal of Research and Innovation in Social Science, 8(9), 1254–1266. UNESCO. (2021). AI and the future of digital inclusion in developing countries. Paris: United Nations Educational, Scientific and Cultural Organization. Zhang, C., Patras, P., & Haddadi, H. (2019). Deep learning in mobile and wireless networking: A survey. IEEE Communications Surveys & Tutorials, 21(3), 2224-2287.
