DocumentCode
2009540
Title
A mobile channel allocation scheme for avoiding channel interference
Author
Seo-Jung Heo ; Dong-Cheul Son ; Chang Suk Kim
Author_Institution
Dept. of Comput. Educ., Kongju Nat. Univ., Kongju, South Korea
fYear
2012
fDate
20-24 Nov. 2012
Firstpage
2053
Lastpage
2055
Abstract
In this paper, a dynamic mobile channel allocation method for avoiding channel interference are presented. It uses reproductive algorithm of genetic algorithm. If the mobile station requests the channel allocation in mobile networks, switching center is assigned a channel to mobile station that belongs to each base station. There are three types of Channel allocation scheme that is fixed channel allocation, dynamic channel allocation and hybrid approach which combines the two forms. To assign a frequency well to use resources efficiently, it is needed to provide quality service to our customers. The proposed method assigns to minimize interference between channels and to minimize the number of searching time. And the method uses reproductive stage of the genetic algorithm to improve accuracy and efficiency of the verification steps. In addition, a comparison between proposed method and other method are presented, that shows proposed method is better through the simulation.
Keywords
channel allocation; genetic algorithms; interference suppression; mobile radio; quality of service; base station; channel interference avoidance; dynamic channel allocation; fixed channel allocation; genetic algorithm; hybrid channel allocation approach; interference minimization; mobile channel allocation scheme; mobile networks; mobile station; quality service; reproductive algorithm; switching center;
fLanguage
English
Publisher
ieee
Conference_Titel
Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
Conference_Location
Kobe
Print_ISBN
978-1-4673-2742-8
Type
conf
DOI
10.1109/SCIS-ISIS.2012.6505410
Filename
6505410
Link To Document