DocumentCode :
698986
Title :
The Design of Scheduling Algorithm for Cognitive Radio Networks Based on Genetic Algorithm
Author :
Lei Zhu ; Yuzhang Xu ; Jianbin Chen ; Zhen Li
Author_Institution :
Dept. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China
fYear :
2015
fDate :
13-14 Feb. 2015
Firstpage :
459
Lastpage :
464
Abstract :
In order to improve the spectrum utilization while providing a fairness guarantee between users under the dynamic spectrum resources, the optimization problem for the scheduler of OFDM system with an unlimited queue capacity in cognitive radio networks (CRN) is first formulated. Then, under the constraints of the optimization problem, the Genetic Algorithm for Cognitive Radio Scheduler (GACRS) is proposed based on the Simple Genetic Algorithm (SGA) to solve the optimization problem. Simulation results show that, by adjusting the proportion factor in the fitness function, GACRS algorithm can guarantee the fairness among users while reaching the upper limit of the spectrum utilization.
Keywords :
OFDM modulation; cognitive radio; genetic algorithms; scheduling; spread spectrum communication; GACRS algorithm; cognitive radio scheduler; genetic algorithm; optimization problem; scheduling algorithm design; spectrum utilization; Cognitive radio; Genetic algorithms; OFDM; Optimization; Scheduling algorithms; Sociology; Statistics; cognitive radio networks; fairness; genetic algorithm; scheduling algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence & Communication Technology (CICT), 2015 IEEE International Conference on
Conference_Location :
Ghaziabad
Print_ISBN :
978-1-4799-6022-4
Type :
conf
DOI :
10.1109/CICT.2015.131
Filename :
7078746
Link To Document :
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