DocumentCode :
2108801
Title :
Quality of service optimization of femtocells network using genetic algorithm
Author :
Basit, Abdul ; Ahmed, J. ; Shafi, Imran ; Riaz, Farhan ; Abbas, Q. ; Bangyal, W.H.
Author_Institution :
Dept. of Comput. & Technol., Iqra Univ. Islamabad, Islamabad, Pakistan
fYear :
2012
fDate :
13-15 Dec. 2012
Firstpage :
312
Lastpage :
315
Abstract :
Recently genetic algorithm based techniques have been introduced in Femtocells communication systems due to inherent advantages. Higher Quality of Service is the demand of users and service providers in day to day communication. This requires an efficient optimization technique to ensure the best quality. In this paper a genetic algorithm based technique is presented for optimization of coverage, power, and bit error rate for performance optimization of Femtocell. Simulation results demonstrate that genetic algorithm based optimization technique is an efficient technique for achieving batter performance in Femtocell environment.
Keywords :
error statistics; femtocellular radio; genetic algorithms; quality of service; bit error rate; femtocell communication system; femtocell network; genetic algorithm; quality of service optimization technique; Coverage; Femtocellst; Genetic Algorithm; Optimization; Simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multitopic Conference (INMIC), 2012 15th International
Conference_Location :
Islamabad
Print_ISBN :
978-1-4673-2249-2
Type :
conf
DOI :
10.1109/INMIC.2012.6511499
Filename :
6511499
Link To Document :
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