DocumentCode :
3252692
Title :
Distributed and Collaborative Primary Signal Feature Estimation for Cognitive Radios under Communication Constraints
Author :
Shen, Zhenlei ; Li, Yan ; Kishore, Shalinee ; Yener, Aylin
Author_Institution :
Lehigh Univ., Bethlehem
fYear :
2007
fDate :
4-7 Nov. 2007
Firstpage :
2068
Lastpage :
2072
Abstract :
Collaborative algorithms are needed to improve the reliability of spectrum sensing in a network of cognitive radios (CRs). This work studies a consensus based approach to sharing spectral measurements between a multihop network of CRs. Specifically, the impact of link errors are incorporated in determining the convergence behavior of consensus based spectrum sensing. Results show that as the number of message exchanges increases, the convergence time and the deviation of the convergence value increase. Hierarchical consensus, a modification to the original consensus algorithm, is proposed to reduce the number of message exchanges while still obtaining the collaborative gains of shared spectrum sensing.
Keywords :
cognitive radio; telecommunication network reliability; cognitive radios; communication constraints; message exchanges; multihop network; primary signal feature estimation; spectral measurements; spectrum sensing; Clustering algorithms; Cognitive radio; Collaboration; Collaborative work; Computer network reliability; Computer networks; Convergence; Distributed computing; Reliability engineering; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4244-2109-1
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2007.4487601
Filename :
4487601
Link To Document :
بازگشت