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Reseach Article

An Intelligent Agent for the Resolution of the Problems of Optimization for Mobile Phone Operators

by Chaker Mezioud, Mohamed-Khireddine Kholladi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 18 - Number 1
Year of Publication: 2011
Authors: Chaker Mezioud, Mohamed-Khireddine Kholladi
10.5120/2245-2873

Chaker Mezioud, Mohamed-Khireddine Kholladi . An Intelligent Agent for the Resolution of the Problems of Optimization for Mobile Phone Operators. International Journal of Computer Applications. 18, 1 ( March 2011), 37-42. DOI=10.5120/2245-2873

@article{ 10.5120/2245-2873,
author = { Chaker Mezioud, Mohamed-Khireddine Kholladi },
title = { An Intelligent Agent for the Resolution of the Problems of Optimization for Mobile Phone Operators },
journal = { International Journal of Computer Applications },
issue_date = { March 2011 },
volume = { 18 },
number = { 1 },
month = { March },
year = { 2011 },
issn = { 0975-8887 },
pages = { 37-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume18/number1/2245-2873/ },
doi = { 10.5120/2245-2873 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:05:12.099202+05:30
%A Chaker Mezioud
%A Mohamed-Khireddine Kholladi
%T An Intelligent Agent for the Resolution of the Problems of Optimization for Mobile Phone Operators
%J International Journal of Computer Applications
%@ 0975-8887
%V 18
%N 1
%P 37-42
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The current systems of communication know a considerable development thanks to the mobile communication and more particularly the cellular telephony. Reason for which the suppliers of service begin to find the big motivation, and make a commitment to have the means to be invested in enormous infrastructures of network. The conception of big cellular networks is a complex problem, which turns around a big impact: the quality of the service and the cost of the network. With the continuous and fast growth of the traffic of communication, the large-scale planning becomes harder and harder. The progress in this sector will lead certainly to the important improvements about the quality of service and the cost of deployment. The environment of the cellular networks is a fluctuating environment. The request in traffic varies in hour by hour and from a link to the other one. The appeal to a process of design becomes indispensable, the objective of which is to supply networks capable of evolving and at a lower cost. The detailed and comprehensive analysis of the behavior of the traffic in the time and in the space is an indispensable process for the planning of the cellular network. In this subject, we propose the theme of the Multi Agents Systems as the foundation of our work, for purpose to propose an intelligent agent implanted at the level of every cell(zone of the territory lit by an antenna "BTS") and which serves to anticipate the modifications to be operated on the cellular network, to optimize the performances of the network during its evolution and to reduce the costs of its reorganization.

References
  1. Audrey Dupont.2005. Study of a métaheuristique crosses for the affectation of frequencies in the evolutionary tactical networks. (October, 2005).
  2. Chaker MEZIOUD, M-K KHOLLADI. . 2009. In New mobile telephony operators Approach for the resolution of the problems of optimization for. Newspaper of Theoretical and Applied Information Technology. 8Vol5No3.
  3. Chaker MEZIOUD, M-K KHOLLADI. 2009. Dynamic structure for the resolution of the problems of optimization for mobile telephony operators. IEEE. GIIS.
  4. H.MABED. 2005. Study of the problems of dynamic optimization: a model for the problem of cellular evolution. University of Technology of Belfort Montbéliard.(October 2005).
  5. J. DREO, Has. Pétrowski, p. Siarry, E.Taillard. 2003 Méthaeuristiques for the difficult optimization. Edition Eyrolles.
  6. Jean-Philippe Muller. 2002. The GSM network and the mobile. Version 07/2002.
  7. M. YEKHLEF. 2007." Study of the methods of access in the mobile networks ". Magister in Electronics, option: microwaves for Telecommunication.
  8. Nadine Cullot. Christine Parent-Stefano Spaccapietra-Christelle Vangenot. 2003. GIS in the geographical ontologies.
  9. P. GODLEWSKI, p. Martin, Mr Coupechoux. 1999. Cellular concepts and Parametrize Radio. (February1999).
  10. R.JENNINGS. 1999. One agent-based engineering software. Department of electronic and Computer Science, University of Southampton, Southampton SO17 IBJ, UK Received 21 (September 99).
  11. S GIRODON. 2002 GSM, GPRS networks and UMTS. (June 2002).
  12. Y.LABROU,T.Fenin, There Peng, 1999. 'agent communication languages: the current landscape', IEEE Intelligent Systems, p 45-52, (March-April on 1999).
Index Terms

Computer Science
Information Sciences

Keywords

GSM Cellular Networks Multi Agents Systems Dynamic Optimization