DocumentCode
3537879
Title
Eigenvalue-based signal detection in cognitive femtocell networks using a decentralized Lanczos algorithm
Author
Penna, Federico ; Stanczak, Slawomir
Author_Institution
Fraunhofer Heinrich Hertz Inst., Berlin, Germany
fYear
2012
fDate
16-19 Oct. 2012
Firstpage
283
Lastpage
283
Abstract
We present an iterative algorithm that computes the eigenvalues of a sample covariance matrix in a fully decentralized fashion as a sequence of average consensus steps. The algorithm is used to implement various eigenvalue-based signal detectors in distributed cognitive radio networks.
Keywords
cognitive radio; covariance matrices; eigenvalues and eigenfunctions; femtocellular radio; iterative methods; signal detection; cognitive femtocellular networks; consensus step sequence; decentralized Lanczos algorithm; distributed cognitive radio networks; eigenvalue-based signal detection; fully decentralized fashion; iterative algorithm; sample covariance matrix; Cognitive radio; Covariance matrix; Eigenvalues and eigenfunctions; Femtocell networks; Iterative methods; Sensors; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Dynamic Spectrum Access Networks (DYSPAN), 2012 IEEE International Symposium on
Conference_Location
Bellevue, WA
Print_ISBN
978-1-4673-4447-0
Electronic_ISBN
978-1-4673-4446-3
Type
conf
DOI
10.1109/DYSPAN.2012.6478146
Filename
6478146
Link To Document