A Novel Wideband Spectrum Sensing System for Distributed Cognitive Radio Networks

Hongjian Sun, A. Nallanathan, J. Jiang, David Laurenson, Cheng-Xiang Wang, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

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.
Original languageEnglish
Title of host publication2011 IEEE Global Telecommunications Conference - GLOBECOM 2011
PublisherIEEE
ISBN (Electronic)978-1-4244-9268-8
ISBN (Print)978-1-4244-9266-4
DOIs
Publication statusPublished - 19 Jan 2012

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