A Novel Wideband Spectrum Sensing System for Distributed Cognitive Radio Networks

Hongjian Sun, Arumugam Nallanathan, Jing Jiang, David I. Laurenson, Cheng-xiang Wang, H. Vincent Poor

Research output: Contribution to conferenceOtherpeer-review

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 number of sub-Nyquist samples, MSSD is able to sense the wideband spectrum without the full spectrum recovery. Specifically, given the low spectrum 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. In order to improve the system detection performance, we propose to use different sub-Nyquist sampling rates. After that, we analyze the performance of MSSD over both non-fading and Rayleigh fading channels. 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
Pages1-6
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2011
EventGLOBECOM 2011 - 2011 IEEE Global Communications Conference - Houston, TX, USA
Duration: 5 Dec 20119 Dec 2011

Conference

ConferenceGLOBECOM 2011 - 2011 IEEE Global Communications Conference
CityHouston, TX, USA
Period5/12/119/12/11

Keywords

  • Spectrum sensing
  • Cognitive radio
  • Rayleigh fading

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