DocumentCode
2522045
Title
An energy-efficient resource allocation scheme based on genetic simulated annealing algorithm
Author
Wang, Zhao ; Li, Youming ; Zhao, Cuiru ; Chen, Jiehui
Author_Institution
Inst. of Commun. Technol., Ningbo Univ., Ningbo, China
fYear
2012
fDate
2-5 Oct. 2012
Firstpage
867
Lastpage
870
Abstract
In wireless environment, the increase in the number of users and the demand for a higher rate have triggered rapidly booming energy consumption at the base station. Therefore, energy efficient design in wireless networks has become essential. This paper studies the problem of energy efficient downlink resource allocation for multi-user OFDM system and proposes a scheme based on genetic simulated annealing algorithm. The proposed scheme can efficiently minimize total power consumption with constraints both on bit-error rate and transmission rate for users requiring different levels of services. The simulation results show that the scheme has fast convergence speed without performance degradation.
Keywords
OFDM modulation; error statistics; genetic algorithms; multi-access systems; radio networks; resource allocation; base station; bit error rate; energy efficient downlink resource allocation; genetic simulated annealing algorithm; multiuser OFDM system; transmission rate; wireless environment; wireless networks; Genetic algorithms; Genetics; OFDM; Resource management; Simulated annealing; Sociology; Statistics; Energy efficient; Genetic simulated annealing algorithm; Multi-user OFDM; Resource allocation;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Information Technologies (ISCIT), 2012 International Symposium on
Conference_Location
Gold Coast, QLD
Print_ISBN
978-1-4673-1156-4
Electronic_ISBN
978-1-4673-1155-7
Type
conf
DOI
10.1109/ISCIT.2012.6381024
Filename
6381024
Link To Document