Direction de Recherche et l’Innovation Technologique (DRIT), école Supérieure Africaine des Technologies Information et de la Communication (ESATIC), Abidjan, C?te d’Ivoire
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Direction de Recherche et l’Innovation Technologique (DRIT), école Supérieure Africaine des Technologies Information et de la Communication (ESATIC), Abidjan, C?te d’Ivoire
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Laboratoire de Recherche en Informatique et Télécommunication (LARIT), Institut National Polytechnique-Houphouet Boigny (INP-HB), Abidjan, C?te d’Ivoire
Laboratoire de Recherche en Informatique et Télécommunication (LARIT), Institut National Polytechnique-Houphouet Boigny (INP-HB), Abidjan, C?te d’Ivoire
2 Direction de Recherche et l’Innovation Technologique (DRIT), école Supérieure Africaine des Technologies Information et de la Communication (ESATIC), Abidjan, C?te d’Ivoire
3 Direction de Recherche et l’Innovation Technologique (DRIT), école Supérieure Africaine des Technologies Information et de la Communication (ESATIC), Abidjan, C?te d’Ivoire
4 Laboratoire de Recherche en Informatique et Télécommunication (LARIT), Institut National Polytechnique-Houphouet Boigny (INP-HB), Abidjan, C?te d’Ivoire
6 Laboratoire de Recherche en Informatique et Télécommunication (LARIT), Institut National Polytechnique-Houphouet Boigny (INP-HB), Abidjan, C?te d’Ivoire
In the mobile radio industry, planning is a fundamental step for the deployment and commissioning of a Telecom network. The proposed models are based on the technology and the focussed architecture. In this context, we introduce a comprehensive single-lens model for a fourth generation mobile network, Long Term Evolution Advanced Network (4G/LTE-A) technology which includes three sub assignments: cells in the core network. In the resolution, we propose an adaptation of the Genetic Evolutionary Algorithm for a global resolution. This is a combinatorial optimization problem that is considered as difficult. The use of this adaptive method does not necessarily lead to optimal solutions with the aim of reducing the convergence time towards a feasible solution.
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