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research article

Distributed Spectrum Estimation for Small Cell Networks Based on Sparse Diffusion Adaptation

Di Lorenzo, Paolo
•
Barbarossa, Sergio
•
Sayed, Ali H.  
2013
IEEE Signal Processing Letters

The goal of this letter is to propose an adaptive and distributed approach to cooperative sensing for wireless small cell networks. The method uses a basis expansion model of the power spectral density (PSD) to be estimated, and exploits spectral sparsity to improve estimation accuracy and adaptation capabilities. An estimator of the model coefficients is developed based on sparse diffusion strategies, which are able to exploit and track sparsity while at the same time processing data in real-time and in a fully decentralized manner. Simulation results illustrate the advantages of the proposed sparsity-aware strategies for cooperative spectrum sensing applications.

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Type
research article
DOI
10.1109/LSP.2013.2287373
Author(s)
Di Lorenzo, Paolo
Barbarossa, Sergio
Sayed, Ali H.  
Date Issued

2013

Publisher

IEEE

Published in
IEEE Signal Processing Letters
Volume

20

Issue

12

Start page

1261

End page

1265

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
ASL  
Available on Infoscience
December 19, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/143349
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