Cooperative Sensing Technique for Random Secondary Wireless Networks

Yibo He, Jiang Xue, Tharmalingam Ratnarajah, Mathini Sellathurai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


This paper investigates the optimal number of collaborating secondary users which can minimize the total error rate (i.e., the summation of probabilities of missed detection and false alarm) for cooperative spectrum sensing when the secondary users follow Poisson point process (PPP). The received signal-to-noise ratios (SNRs) at secondary users can vary since the practical locations and the amount of secondary users are various. In order to cope with the diversity of received SNRs, a practical cooperative spectrum sensing system model is proposed based on the generalized likelihood ratio test (GLRT) detector. Firstly, the analytical expressions of the probabilities of false alarm and detection are derived. Secondly, an efficient cooperative spectrum sensing technique is proposed, which only requires the least amount of cooperative secondary users to achieve the minimum total error rate. Furthermore, the analytical results reveal the chosen optimal numbers of collaborating secondary users can achieve the best spectrum sensing performance.

Original languageEnglish
Title of host publicationIEEE International Conference on Communication Workshop (ICCW), 2015
Number of pages6
ISBN (Print)9781467363051
Publication statusPublished - Sept 2015
EventIEEE International Conference on Communication Workshop - London, United Kingdom
Duration: 8 Jun 201512 Jun 2015


ConferenceIEEE International Conference on Communication Workshop
Abbreviated titleICCW 2015
Country/TerritoryUnited Kingdom


  • Cooperative spectrum sensing
  • generalized likelihood ratio test detector
  • optimization
  • Poisson point process

ASJC Scopus subject areas

  • Computer Networks and Communications


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