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Enhancement of Optimization Problem in Radio Networks using Genetic Algorithm

Monika Srivastava, S. P. Tripathi Published in Communications

International Journal of Applied Information Systems
Year of Publication 2012
© 2010 by IJAIS Journal
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  1. Monika Srivastava and S P Tripathi. Article: Enhancement of Optimization Problem in Radio Networks using Genetic Algorithm. International Journal of Applied Information Systems 3(5):55-12, July 2012. BibTeX

    	author = "Monika Srivastava and S. P. Tripathi",
    	title = "Article: Enhancement of Optimization Problem in Radio Networks using Genetic Algorithm",
    	journal = "International Journal of Applied Information Systems",
    	year = 2012,
    	volume = 3,
    	number = 5,
    	pages = "55-12",
    	month = "July",
    	note = "Published by Foundation of Computer Science, New York, USA"


The availability of mobile information systems is being driven by the increasing demand to have information available for users at any time. As the availability of wireless devices increases, so will the load on available radio frequency resources. The radio frequency spectrum is limited, thus there will be a need to effectively manage these resources.

This paper studies the application of the genetic algorithm in optimizing cellular radio networks. The aim of the algorithm is to allocate the available frequency channels in such a way that the average quality of the signals that the mobile stations receive is maximized, while meeting the minimum requirement even for the worst signals.

In this study, a genetic algorithm for solving the channel allocation problem is implemented in MATLAB environment and the parameters of the genetic algorithm are tuned so that the algorithm converges nicely.


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Genetic Algorithm, Channel Allocation