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Journal of Applied Sciences
  Year: 2016 | Volume: 16 | Issue: 12 | Page No.: 549-561
DOI: 10.3923/jas.2016.549.561
 
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Assigning eNode B to Switches in LTE Advanced Network by an Approach Genetic
Soro Etienne, Brou Pacome, Diaby Moustapha, Asseu Olivier, Aka Boko Matthieu, Konate Adama and Oumtanaga Souleymane

Abstract:
Background and Objective: This study proposes an optimization model for assigning cells to serving gateway (SGW) in Long Term Evolution Advanced (LTE-A) network in architecture: "Centralized control/distributed bearer". The objective is to minimize the costs of connection and handover operations to ensure a transparent mobility management related to moving all-out users. Methodology: A heuristic based on genetic algorithm according to Charles Darwin's theory of survival of the species is proposed in order to get solutions fairly close to the optimum by reducing the runtimes of test. The process is essentially to find iteratively a feasible solution to each generation from an initial population consists of heterogeneous chromosome respecting the constraint on the ability of each SGW. Results: The proposed genetic code permits to obtain a feasible solution after a number of iteration, however, the uncontrollable factor of randomness in the genetic process affects the quality of solutions. Conclusion: The results show that an adequate application of genetic operators (Selection, crossover and mutation) permits to obtain solution to any generation whatever the number of chromosome in the population.
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How to cite this article:

Soro Etienne, Brou Pacome, Diaby Moustapha, Asseu Olivier, Aka Boko Matthieu, Konate Adama and Oumtanaga Souleymane, 2016. Assigning eNode B to Switches in LTE Advanced Network by an Approach Genetic. Journal of Applied Sciences, 16: 549-561.

DOI: 10.3923/jas.2016.549.561

URL: https://scialert.net/abstract/?doi=jas.2016.549.561

 
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