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