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