DocumentCode
2029276
Title
Resource Allocation for OFDMA System Based on Genetic Algorithm
Author
Yu, Yu ; Zhou, Wuyang
Author_Institution
PCN&SS Lab., Sci. & Technol. Univ. of China, Hefei
fYear
2007
fDate
20-21 Sept. 2007
Firstpage
65
Lastpage
69
Abstract
In traditional resource allocation for OFDMA, the packet scheduling and subcarriers allocation are optimized independently. In order to improve the whole system performance, a resource allocation algorithm based on genetic algorithm was proposed, in which the packet scheduling and subcarriers allocation are optimized jointly. To maximize system throughput and guarantee fairness among users, the proposed algorithm uses stochastic approximation methods to control the parameter in scheduling; meanwhile uses a genetic algorithm to solve the subcarriers allocation problem. It is demonstrated in the simulation result that the proposed algorithm can improve the system performance in terms of throughput, packet loss rate, packet delay and fairness.
Keywords
OFDM modulation; approximation theory; frequency division multiple access; genetic algorithms; resource allocation; scheduling; stochastic processes; OFDMA system; genetic algorithm; orthogonal frequency division multiple access; packet scheduling; resource allocation; stochastic approximation method; subcarrier allocation; Approximation algorithms; Approximation methods; Control systems; Delay; Genetic algorithms; Resource management; Scheduling algorithm; Stochastic systems; System performance; Throughput; OFDMA; genetic algorithm; packet scheduling; stochastic approximation; subcarriers allocation;
fLanguage
English
Publisher
ieee
Conference_Titel
Cross Layer Design, 2007. IWCLD '07. International Workshop on
Conference_Location
Jinan
Print_ISBN
978-1-4244-1283-9
Electronic_ISBN
978-1-4244-1284-6
Type
conf
DOI
10.1109/IWCLD.2007.4379039
Filename
4379039
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