Title :
Clustering based spectrum allocation scheme using spectral graph partitioning
Author :
Lu, Dianjie ; Lu, Jing ; Huang, XiaoXia
Author_Institution :
Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China
Abstract :
Efficient spectrum allocation in Open Spectrum Management is a challenging problem. In this paper, we propose a novel scheme to promote the spectrum utilization by decomposing the second users into non-overlapping clusters. To accomplish the partitioning, we employ a technique from algebraic graph theory known as Spectral Graph Partitioning (SGP). Based on this iterative method, the secondary users can be divided with the balanced radio resource. Then, the spectrum allocation algorithm can be performed distributively. Experiment result shows that our method effectively improves the performance of spectrum allocation.
Keywords :
cognitive radio; frequency allocation; graph theory; iterative methods; algebraic graph theory; balanced radio resource; cognitive radio; decomposition; iterative method; open spectrum management; secondary users; spectral graph partitioning; spectrum allocation; spectrum utilization; Asia; Automatic control; Clustering algorithms; Cognitive radio; Graph theory; Informatics; Partitioning algorithms; Robot control; Robot kinematics; Robotics and automation; cognitive radio network; spectral graph partitioning; spectrum allocation;
Conference_Titel :
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5192-0
Electronic_ISBN :
1948-3414
DOI :
10.1109/CAR.2010.5456599