Professor Hongjian Sun hongjian.sun@durham.ac.uk
Professor
Professor Hongjian Sun hongjian.sun@durham.ac.uk
Professor
Arumugam Nallanathan
Shuguang Cui
Cheng-Xiang Wang
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.
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. |
Public URL | https://durham-repository.worktribe.com/output/1414537 |
Accepted Journal Article
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