Within FEMTO-ST, Kodjo Elom Francis Kindbelle Tossou has explored the optimization of 4G networks in Togo.
Kodjo Elom Francis Kindbelle Tossou, chercheur·e au sein de FEMTO-ST (Université de Technologie de Belfort-Montbeliard).
Thèse soutenue en 2025 à l'école doctorale SPIM - Sciences Physiques pour l'Ingénieur et Microtechniques.
Référencée dans le réseau ABES/STAR, cette thèse répond aux critères de rigueur de l'enseignement supérieur français.
The optimization of the quality of service of 4G networks in Togo is a major challenge to meet the growing connectivity needs. In a country where infrastructure is often limited, the quality of service (QoS) of LTE networks is undermined by technical constraints and variations in demand. The thesis of Kodjo Elom Francis Kindbelle Tossou proposes an innovative approach to make antenna configuration dynamic, thus allowing the network to adapt to traffic fluctuations.
This research is based on a rigorous methodology, integrating subscriber distribution modeling and the use of metaheuristic algorithms. These tools allow for testing different network configurations to maximize coverage and throughput while minimizing interference. Preliminary results are promising but require validation on real data to confirm their effectiveness.
The implications of this research are significant. By providing operators with tools to anticipate demand peaks and adjust network parameters in real-time, this optimization could transform the way telecommunication services are delivered in Togo. It could also serve as a springboard for a transition to 5G networks, thus meeting future connectivity requirements.
However, questions remain. How can operators integrate these new methods into their existing infrastructures? What investments are necessary to implement these solutions? The answers to these questions will be crucial for the successful implementation of the recommendations of this thesis.
In summary, this research represents a breakthrough in the optimization of LTE networks in resource-limited contexts. It paves the way for future research, particularly on the integration of machine learning techniques, which could further enhance the accuracy and speed of optimizations. The results of this thesis could have a lasting impact on the quality of service of telecommunication networks in Togo and beyond.
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Sources et accès
Kodjo Elom Francis Kindbelle Tossou. Optimisation de la qualité de service du réseau 4G au TOGO. Autre. Université de Technologie de Belfort-Montbeliard; Université de Lomé (Togo), 2025. Français. ⟨NNT : 2025BELF0004⟩. ⟨tel-05526858⟩