Rapid spectrum sensing with multiple antennas for cognitive radio

Pu Wang, Jun Fang, Ning Han, Hongbin Li

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

1 Scopus citations

Abstract

We consider the problem of detecting a primary user in a cognitive radio network by employing multiple antennas at the cognitive receiver. In vehicular applications, cognitive radios typically transit regions with differing densities of primary users. Therefore, speed of detection is key, so detection based on a small number of samples is particularly advantageous for vehicular applications. Without assuming any prior knowledge of the primary user's signaling scheme, the channels between the primary user and the cognitive user, and the variance of the noise seen at the cognitive user, a generalized likelihood ratio test (GLRT) is developed to detect the presence/absence of the primary user. Asymptotic performance analysis for the proposed GLRT is also presented. Performance comparison between the proposed GLRT and other existing methods such as the energy detector and several eigenvalue-based methods under the condition of unknown or inaccurately known noise variance is provided. Our results show that the proposed GLRT exhibits better performance than other existing techniques, especially when the number of samples is small, which is particularly critical in vehicular applications.

Original languageEnglish
Title of host publicationIEEE Africon'11
DOIs
StatePublished - 2011
EventIEEE Africon'11 - Victoria Falls, Livingstone, Zambia
Duration: 13 Sep 201115 Sep 2011

Publication series

NameIEEE AFRICON Conference

Conference

ConferenceIEEE Africon'11
Country/TerritoryZambia
CityVictoria Falls, Livingstone
Period13/09/1115/09/11

Keywords

  • Cognitive radio
  • generalized likelihood ratio test
  • spectrum sensing

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