Multiantenna-assisted spectrum sensing for cognitive radio

Pu Wang, Jun Fang, Ning Han, Hongbin Li

Research output: Contribution to journalArticlepeer-review

281 Scopus citations

Abstract

In this paper, 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, and so, detection based on a small number of samples is particularly advantageous for vehicular applications. Assuming no 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. A performance comparison between the proposed GLRT and other existing methods, such as the energy detector (ED) 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, particularly when the number of samples is small, which is particularly critical in vehicular applications.

Original languageEnglish
Article number5345867
Pages (from-to)1791-1800
Number of pages10
JournalIEEE Transactions on Vehicular Technology
Volume59
Issue number4
DOIs
StatePublished - May 2010

Keywords

  • Cognitive radio (CR)
  • Generalized likelihood ratio test (GLRT)
  • Spectrum sensing

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