Optimization of 4G Networks in Togo: A Dynamic Approach to Improve Connectivity

Kodjo Elom Francis Kindbelle Tossou, from the University of Technology of Belfort-Montbeliard, has developed a method for optimizing 4G networks in Togo, allowing antennas to be dynamically adjusted to traffic variations. This thesis, validated in 2025, aims to improve service quality in a country where connectivity is crucial.

The optimization of 4G networks in Togo is essential to meet the growing demand for connectivity. The quality of service (QoS) of LTE networks suffers from technical constraints and variations in demand. The research by Kodjo Elom Francis Kindbelle Tossou proposes a dynamic configuration of antennas, allowing the network to adapt to traffic fluctuations.

The methodology of this thesis is based on modeling subscriber distribution and using metaheuristic algorithms. These tools allow for testing different network configurations to maximize coverage and throughput while minimizing interference. Preliminary results are promising, requiring validation on real data.

The implications of this research are significant for telecommunications operators. By anticipating demand peaks and adjusting network parameters in real-time, this optimization could transform service delivery in Togo and pave the way for a transition to 5G networks.

« « My approach allows for the adjustment of antenna configurations based on traffic fluctuations, which could improve the service quality of 4G networks in Togo. » »

« « The optimization of 4G networks represents a strategic opportunity for decision-makers, promoting access to quality digital services in Togo. » »