Optimization of log-likelihood ratio test based cooperative spectrum sensing in cognitive radio networks

Shengliang Peng*, Shuli Shu, Xi Yang, Xiuying Cao

*Corresponding author for this work

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

4 Scopus citations

Abstract

In spectrum sensing for cognitive radio networks, the secondary users should detect whether the primary user is present as soon as possible to improve the throughput of the secondary system. This paper investigates the problem of minimizing the detection time of log-likelihood ratio test based cooperative spectrum sensing under the constraints on accuracy metrics. We show that the minimum detection time can be achieved by choosing an optimum sample number. Closed-form expressions for the minimum detection time as well as the optimum sample number are deduced. Simulation results are provided to verify the validity of these expressions.

Original languageEnglish
Title of host publication7th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2011
DOIs
StatePublished - 2011
Externally publishedYes
Event7th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2011 - Wuhan, China
Duration: 23 Sep 201125 Sep 2011

Publication series

Name7th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2011

Conference

Conference7th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2011
Country/TerritoryChina
CityWuhan
Period23/09/1125/09/11

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