DocumentCode :
3005764
Title :
Genetic Algorithm Approach for Resource Allocation in Multi-User OFDM Systems
Author :
Reddy, Yenumula B. ; Phoha, V.V.
Author_Institution :
Dept. of Math & Comput. Sci., Grambling State Univ., Grambling, LA, USA
fYear :
2007
fDate :
7-12 Jan. 2007
Firstpage :
1
Lastpage :
6
Abstract :
A novel genetic algorithm application is proposed for adaptive power and subcarrier allocation in multi-user OFDM systems. The proposed method is compared with Eshan\´s [Ehsan Bakhtiari and Babak H. Khalaj, "A new Joint Power and Subcarrier Allocation Scheme for Multiuser OFDM Systems", 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, Beijing, China, Vol. 2, PP 1959 -1963, Sept 7 -10, 2003.] power and subcarrier allocation algorithm and Wang\´s modified genetic algorithm [Yongxue Wang et al.,"Adaptive Subcarrier and Bit Allocation for Multiuser OFDM System Based on Genetic Algorithm", IEEE 2005.]. Our method has fast convergence and can handle large allocations of subcarriers to users without performance degradation. The simulation results show that our approach is a viable alternative to existing methods for optimum resource allocation.
Keywords :
OFDM modulation; genetic algorithms; mobile radio; multiuser channels; resource allocation; adaptive power allocation; adaptive subcarrier allocation algorithm; bit power allocation; genetic algorithm approach; mobile communication; multiuser OFDM system; optimum resource allocation; Bit rate; Computer science; Genetic algorithms; Interference; Iterative algorithms; Mobile communication; OFDM modulation; Quality of service; Radio spectrum management; Resource management; Genetic Algorithm; OFDM; bit error rate; fitness, subcarrier; frequency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems Software and Middleware, 2007. COMSWARE 2007. 2nd International Conference on
Conference_Location :
Bangalore
Print_ISBN :
1-4244-0613-7
Type :
conf
DOI :
10.1109/COMSWA.2007.382614
Filename :
4268038
Link To Document :
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