Application of clustering structure in the hierarchical spectrum sharing network based on cognitive radio

Lei Gong; Jie Chen; Wanbin Tang; Shaoqian Li

3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Application of clustering structure in the hierarchical spectrum sharing network based on cognitive radio

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1109/CROWNCOM.2008.4562516,
    author={Lei Gong and Jie Chen and Wanbin Tang and Shaoqian Li},
    title={Application of clustering structure in the hierarchical spectrum sharing network based on cognitive radio},
    proceedings={3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
    publisher={IEEE},
    proceedings_a={CROWNCOM},
    year={2008},
    month={7},
    keywords={Cognitive radio Hiearchical spectrum sharing network Clustering Clustering stability},
    doi={10.1109/CROWNCOM.2008.4562516}
}

Lei Gong
Jie Chen
Wanbin Tang
Shaoqian Li
Year: 2008
Application of clustering structure in the hierarchical spectrum sharing network based on cognitive radio
CROWNCOM
IEEE
DOI: 10.1109/CROWNCOM.2008.4562516

Lei Gong¹^,*, Jie Chen¹^,*, Wanbin Tang¹^,*, Shaoqian Li¹^,*

1: National Key Lab of Communications University of Electronic Science and Technology of China Chengdu, China

*Contact email: ckcocogl@yahoo.com.cn, jiechen@uestc.edu.cn, wbtang@uestc.edu.cn, lsq@uestc.edu.cn

Abstract

This paper firstly analyzes the impact which clustering and non-clustering structure is on sensing spectrum expenditure. Furthermore, the reason that clustering structure is adopted in hierarchical spectrum sharing network is also illustrated by numerical simulation. Secondly, a clustering algorithm, which can reduce detection expenditure, is proposed based on the similarity of the spectrum in such architecture. Additionally, clustering stability based on this algorithm is explored. Theoretical analysis and simulation result indicates that clustering stability is ensured only if threshold K is chosen appropriately.

Keywords: Cognitive radio Hiearchical spectrum sharing network Clustering Clustering stability

Published: 2008-07-15
Publisher: IEEE
Modified: 2010-05-16

: http://dx.doi.org/10.1109/CROWNCOM.2008.4562516