DocumentCode :
3485036
Title :
Applying genetic algorithms to the data traffic scheduling and performance analysis of a long-term evolution system
Author :
Hsien-Wei Tseng ; Yang-Han Lee ; Wei-Chen Lee ; Yih-Guang Jan ; Chorng-Ren Sheu
Author_Institution :
Dept. of Comput. & Commun. Eng., De Lin Inst. of Technol., Taipei, Taiwan
fYear :
2012
fDate :
4-7 Nov. 2012
Firstpage :
183
Lastpage :
188
Abstract :
This study developed a superior transmission resource allocation method using genetic algorithms. The convergence properties of genetic algorithms were employed to increase the transmission resource use efficiency of a base station, allowing users to access wider bandwidths and improving the system throughput and packet service rates of a multicarrier operation. This study also determined the genetic algorithm convergence time and found that the convergence time required for actual calculation was significantly less than one radio frame duration. Finally, the resource allocation results were simulated with and without the genetic algorithm to compare the performance differences.
Keywords :
Long Term Evolution; convergence; genetic algorithms; resource allocation; scheduling; telecommunication traffic; bandwidths; convergence property; data traffic scheduling; genetic algorithm convergence time; genetic algorithms; long-term evolution system; multicarrier operation; packet service rates; performance analysis; radio frame duration; superior transmission resource allocation method; system throughput; transmission resource use efficiency; Biological cells; Convergence; Genetic algorithms; Long Term Evolution; Resource management; Throughput; Time frequency analysis; Genetic algorithm; multicarrier operation; resource allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Signal Processing and Communications Systems (ISPACS), 2012 International Symposium on
Conference_Location :
New Taipei
Print_ISBN :
978-1-4673-5083-9
Electronic_ISBN :
978-1-4673-5081-5
Type :
conf
DOI :
10.1109/ISPACS.2012.6473477
Filename :
6473477
Link To Document :
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