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DOI: 10.14569/IJACSA.2015.060832
PDF

Evolutionary Approach to jointly resolve the Power and the Capacity Optimization problems in the multi-user OFDMA Systems

Author 1: Ndiaye Abdourahmane
Author 2: Ouya Samuel
Author 3: Mendy Gervais

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 8, 2015.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: This paper deals with the problem of resources allo-cation in the downlink of the radio mobile systems. The allocation of resources is established in the context of multi-path effect and Doppler effect. These phenomena cause randomly variations of the channel and make difficult the allocation of the resources. Therefore, the problem of resources allocation is a high non linear optimization problem. Thus, we propose an implementation of genetic algorithms approach to increase the total throughput of users while minimizing the consumption of the total power of the base station. Like the evolutionary algorithms approach, this method is characterized by its robustness, permitting to efficiently solve a non linear optimization problem.

Keywords: Cellular Network; OFDMA; Resources Allocation; Rate Adaptive; Margin Adaptive; Genetic Algorithms

Ndiaye Abdourahmane, Ouya Samuel and Mendy Gervais, “Evolutionary Approach to jointly resolve the Power and the Capacity Optimization problems in the multi-user OFDMA Systems” International Journal of Advanced Computer Science and Applications(IJACSA), 6(8), 2015. http://dx.doi.org/10.14569/IJACSA.2015.060832

@article{Abdourahmane2015,
title = {Evolutionary Approach to jointly resolve the Power and the Capacity Optimization problems in the multi-user OFDMA Systems},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.060832},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060832},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {8},
author = {Ndiaye Abdourahmane and Ouya Samuel and Mendy Gervais}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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