A Genetic Algorithm for Overall Designing and Planning of a Long Term Evolution Advanced Network

HTML  XML Download Download as PDF (Size: 1343KB)  PP. 355-370  
DOI: 10.4236/ajor.2016.64033    1,850 Downloads   3,334 Views  Citations

ABSTRACT

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.

Share and Cite:

Bertrand, B. , Moustapha, D. , Etienne, S. , Souleymane, O. and Boko, A. (2016) A Genetic Algorithm for Overall Designing and Planning of a Long Term Evolution Advanced Network. American Journal of Operations Research, 6, 355-370. doi: 10.4236/ajor.2016.64033.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.