Spectrum sensing in cognitive radio using goodness of fit testing

Authors:
Haiquan Wang;En-Hui Yang;Zhijin Zhao;Wei Zhang
Affiliations:
College of Communications Engineering, Hangzhou Dianzi University, China;Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada;College of Communications Engineering, Hangzhou Dianzi University, China;School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia
Venue:
IEEE Transactions on Wireless Communications
Year:
2009

Citing 3
Cited 2

Fundamental design tradeoffs in cognitive radio systems

TAPAS '06 Proceedings of the first international workshop on Technology and policy for accessing spectrum
On the extraction of the channel allocation information in spectrum pooling systems

IEEE Journal on Selected Areas in Communications
Cross-Layer Based Opportunistic MAC Protocols for QoS Provisionings Over Cognitive Radio Wireless Networks

IEEE Journal on Selected Areas in Communications

Robust spectrum sensing for cognitive radio based on statistical tests

Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management
Game-based cross-layer channel allocation with SVC-encoded multimedia streams in cognitive radio networks

International Journal of Network Management

Quantified Score

Hi-index	0.01

Visualization

Abstract

One of the most important challenges in cognitive radio is how to measure or sense the existence of a signal transmission in a specific channel, that is, how to conduct spectrum sensing. In this letter, we first formulate spectrum sensing as a goodness of fit testing problem, and then apply the Anderson-Darling test, one of goodness of fit tests, to derive a sensing method called Anderson-Darling sensing. It is shown by both analysis and numerical results that under the same sensing conditions and channel environments, Anderson-Darling sensing has much higher sensitivity to detect an existing signal than energy detector-based sensing, especially in a case where the received signal has a low signal-to-noise ratio (SNR) without prior knowledge of primary user signals.