Abstract
Any mobile network operator’s primary concern is ensuring a better customer experience for their subscribers. For this reason, they need to ensure that their infrastructure is working correctly. However, managing telecommunication infrastructure, especially cellular base stations, has never been an obvious task in the African and Middle Eastern regions due to the landlocked nature and lack of access roads, especially in rural areas. Despite the many solutions developed by operators, ranging from monitoring tools to the deployment of technicians in the field, this still needs to be solved. Some operators prefer to entrust these cell sites to Managed Service Providers (MSPs) or Tower Companies (TowerCos) and concentrate on other services. To address this issue, we propose an adapted correlation clustering for cell site management, considering the operator’s parameters and a site accessibility parameter. This approach makes it possible to determine the optimal number of cells to allocate to a technician to make his interventions efficient; this will minimize Operational Expenditure (OpEx) and cell downtime due to breakdowns and maximize the quality of service offered to customers.
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We thank the editor and the anonymous reviewers for their valuable remarks that helped us improve the paper’s content and presentation. Moreover, the author is grateful for the facilities the AIMS-Cameroon Research Center provides and its kind hospitality.
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Abba Ari, A.A. et al. (2024). Correlation Clustering Adapted for Cell Site Management of Mobile Networks in Developing Countries. In: Tchakounte, F., Atemkeng, M., Rajagopalan, R.P. (eds) Safe, Secure, Ethical, Responsible Technologies and Emerging Applications. SAFER-TEA 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 566. Springer, Cham. https://doi.org/10.1007/978-3-031-56396-6_8
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