The week's pick
Reseach Article
An Intelligent Agent for the Resolution of the Problems of Optimization for Mobile Phone Operators
| 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
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.
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