Cooperative diversity of spectrum sensing for cognitive radio systems

Dongliang Duan, Liuqing Yang, Jose C. Principe

Research output: Contribution to journalArticlepeer-review

120 Scopus citations


Spectrum sensing is a crucial issue in cognitive radio networks. To improve the sensing performance, cooperation among the secondary users can be utilized to collect space diversity. In this paper, we quantify the diversity order for various cooperative spectrum sensing strategies. We first notice that, in a spectrum sensing problem, diversity should reflect both the false alarm and missed detection behaviors since they respectively capture the efficiency and reliability of the overall cognitive system. Hence, we consider both false alarm and missed detection probabilities individually and jointly via the average error probability. With the knowledge of both the noise strength and the primary user signal strength, the threshold of the Neyman-Pearson detector can be varied to control the system performance in desirable ways. Interesting tradeoffs between system efficiency and reliability are found in various cooperative strategies and analytical results are presented to guide practical system designs with different preferences.

Original languageEnglish (US)
Article number5422755
Pages (from-to)3218-3227
Number of pages10
JournalIEEE Transactions on Signal Processing
Issue number6
StatePublished - Jun 2010
Externally publishedYes

Bibliographical note

Funding Information:
Manuscript received October 01, 2009; accepted February 03, 2010. Date of publication March 01, 2010; date of current version May 14, 2010. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Roberto Lopez-Valcarce. This work is in part supported by National Science Foundation under grant ECS-0621879. Part of the results in this paper has been presented at the IEEE Wireless Communication and Networking Conference (WCNC), Budapest, Hungary, April 5–8, 2009.


  • Cognitive radio systems
  • Cooperative diversity
  • Spectrum sensing
  • System efficiency and reliability tradeoff


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