Cooperative Wideband Spectrum Sensing over Fading Channels

Sun, Hongjian; Nallanathan, Arumugam; Cui, Shuguang; Wang, Cheng-Xiang

doi:10.1109/tvt.2015.2407700

Cooperative Wideband Spectrum Sensing over Fading Channels

Sun, Hongjian; Nallanathan, Arumugam; Cui, Shuguang; Wang, Cheng-Xiang

Authors

Professor Hongjian Sun hongjian.sun@durham.ac.uk
Professor

Arumugam Nallanathan

Shuguang Cui

Cheng-Xiang Wang

Abstract

In cognitive radio (CR) systems, it is crucial for secondary users to reliably detect spectral opportunities across a wide frequency range. This paper studies a novel multi-rate sub- Nyquist spectrum sensing (MS3) system capable of performing wideband spectrum sensing in a cooperative CR network over fading channels. The aliasing effects of sub-Nyquist sampling are modelled. To mitigate such effects, different sub-Nyquist sampling rates are applied such that the numbers of samples at different CRs are consecutive prime numbers. Moreover, the performance of MS3 over fading channels (Rayleigh fading and log-normal fading) is analysed in the form of bounds on the probabilities of detection and false alarm. The key finding is that the wideband spectrum can be sensed using sub-Nyquist sampling rates in MS3 over fading channels, without the need of spectral recovery. In addition, the aliasing effects can be mitigated by the use of different sub-Nyquist sampling rates in a multi-rate sub-Nyquist sampling system.

Citation

Sun, H., Nallanathan, A., Cui, S., & Wang, C. (2016). Cooperative Wideband Spectrum Sensing over Fading Channels. IEEE Transactions on Vehicular Technology, 65(3), 1382-1394. https://doi.org/10.1109/tvt.2015.2407700

Journal Article Type	Article
Acceptance Date	Feb 7, 2015
Online Publication Date	Feb 28, 2015
Publication Date	Mar 10, 2016
Deposit Date	Feb 20, 2015
Publicly Available Date	Mar 16, 2015
Journal	IEEE Transactions on Vehicular Technology
Print ISSN	0018-9545
Publisher	Institute of Electrical and Electronics Engineers
Peer Reviewed	Peer Reviewed
Volume	65
Issue	3
Pages	1382-1394
DOI	https://doi.org/10.1109/tvt.2015.2407700
Keywords	Cognitive radio, Rayleigh fading, Log-normal fading, Sub-Nyquist sampling, Wideband spectrum sensing.

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