A Novel Wideband Spectrum Sensing System for Distributed Cognitive Radio Networks

Sun, Hongjian, Nallanathan, Arumugam, Jiang, Jing, Laurenson, David, Wang, Cheng-Xiang and Poor, H. Vincent (2012) A Novel Wideband Spectrum Sensing System for Distributed Cognitive Radio Networks. In: 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011. IEEE. ISBN 978-1-4244-9266-4

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Abstract

A significant challenge of cognitive radio (CR) is to perform wideband spectrum sensing in a fading environment. In this paper, a novel multi-rate sub-Nyquist spectrum detection(MSSD) system is introduced for cooperative wideband spectrum sensing in a distributed CR network. Using only a few sub- Nyquist samples, MSSD is able to sense the wideband spectrum without full spectrum recovery. Specifically, given the low spectral occupancy, sub-Nyquist sampling is performed in each sampling channel and a test statistic is formed by using sub-Nyquist samples from multiple sampling channels. Furthermore, the use of different sub-Nyquist sampling rates is proposed to improve the system detection performance, and the performance of MSSD over both non-fading and Rayleigh fading channels is analyzed. Numerical results show that MSSD can considerably improve the wideband spectrum sensing performance in a fading scenario, with a relatively low implementation complexity and a low computational complexity.

Item Type:	Book Section
Subjects:	G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Becky Skoyles
Date Deposited:	18 Dec 2018 12:31
Last Modified:	11 Oct 2019 15:01
URI:	http://nrl.northumbria.ac.uk/id/eprint/37328

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