Upper bounds for Neyman-Pearson cooperative spectrum sensing

Sayed Jalal Zahabi, Ali Akbar Tadaion, Sonia Aissa

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

1 Scopus citations

Abstract

We consider a cooperative spectrum sensing scenario where the local sensors at the secondary users are viewed as one-level quantizers, and the quantized data are to be fused under Neyman-Pearson (N-P) criterion. We demonstrate how the N-P fusion results in a randomized test, which represents the total performance of our spectrum sensing scheme. We further introduce an upper performance bound for the overall primary user signal detection. An analytical procedure towards the upper bound and its relevant quantization setup at the local sensors are proposed and examined through simulations. © 2011 IEEE.
Original languageEnglish (US)
Title of host publication2011 IEEE Symposium on Computers and Communications (ISCC)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1050-1055
Number of pages6
ISBN (Print)9781457706783
DOIs
StatePublished - Jun 2011

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