Collaborative quickest spectrum sensing via random broadcast in cognitive radio systems

Authors:
Husheng Li;Huaiyu Dai;Chengzhi Li
Affiliations:
Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN;Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC;Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC
Venue:
IEEE Transactions on Wireless Communications
Year:
2010

Citing 4
Cited 0

Detection of abrupt changes: theory and application

Detection of abrupt changes: theory and application
Cooperative Spectrum Sensing in Cognitive Radio, Part I: Two User Networks

IEEE Transactions on Wireless Communications
Decentralized quickest change detection

IEEE Transactions on Information Theory
Asymptotic Performance of a Censoring Sensor Network

IEEE Transactions on Information Theory

Quantified Score

Hi-index	0.01

Visualization

Abstract

Quickest detection is applied in spectrum sensing in cognitive radio systems when multiple secondary users collaborate with limited communication time slots. When the transmissions of sensing results are not coordinated to avoid confliction, random broadcast is used to exchange information. A necessary condition for the optimal broadcast probability, as a function of the log likelihood ratio of local observation, is obtained using variational analysis. To alleviate the difficulty of computing the optimal broadcast probability, a simple threshold broadcast scheme is proposed. Simulation shows that the proposed threshold broadcast scheme can achieve substantial performance gain (less than 60% in detection delay for the same false alarm rate) over schemes of random broadcast without regulation and single-user spectrum sensing.