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Mobile cellular network-Based Positioning using Machine Learning

Article scientifique 2026 Anglais

Résumé

Positioning systems are essential for variousapplications, ranging from navigation to location-based services.In the case of mobile cellular networks. This study explored the useof mobile cellular network signals to develop a positioning systemfor beehives. Our research introduces a new approach forpositioning using mobile cellular (LTE, UMTS, and GSM) radiosignal data. We trained a machine learning model to predictgeographic coordinates (latitude and longitude) based on variousparameters extracted from the intercepted radio signals. Theseparameters include the Cell Identity, Mobile Country Code(MCC), Mobile Network Code (MNC), Location Area Code (LAC),and additional relevant identifiers.Our study offers a novelapproach for precise position determination by utilizinginformation provided by mobile cellular signals.

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Yagoub, R., Bentaieb, S., Anberi, R., Bakhti, F. (2026). Mobile cellular network-Based Positioning using Machine Learning. https://doi.org/10.24425/ijet.2026.157920

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Auteur(s)

Reda Yagoub Samia Bentaieb Roumaissa Anberi Fouzia Bakhti

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