@inproceedings{d279a53979a54bd78f940308a0d02c9f,
title = "Distributed and collaborative primary signal feature estimation for cognitive radios under communication constraints",
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.",
author = "Zhenlei Shen and Yan Li and Shalinee Kishore and Aylin Yener",
year = "2007",
doi = "10.1109/ACSSC.2007.4487601",
language = "English (US)",
isbn = "9781424421107",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
publisher = "IEEE Computer Society",
pages = "2068--2072",
booktitle = "Conference Record of the 41st Asilomar Conference on Signals, Systems and Computers, ACSSC",
address = "United States",
note = "41st Asilomar Conference on Signals, Systems and Computers, ACSSC 2007 ; Conference date: 04-11-2007 Through 07-11-2007",
}