Evidence Theory based Cooperative Energy Detection under Noise Uncertainty

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorChaudhari, Sachinen_US
dc.contributor.authorGohain, Prakash B.en_US
dc.contributor.authorKoivunen, Visaen_US
dc.contributor.departmentInternational Institute of Information Technology Hyderabaden_US
dc.contributor.departmentDept Signal Process and Acousten_US
dc.date.accessioned2018-12-10T10:29:34Z
dc.date.available2018-12-10T10:29:34Z
dc.date.issued2017en_US
dc.description.abstractNoise power uncertainty is a major issue in energy-based spectrum sensors. Any uncertainty in the noise power leads to significant reduction in the detection performance of the energy detector and also results in a performance limitation in the form of SNR walls. In this paper, we propose an evidence theory (also called Dempster-Shafer theory (DST)) based cooperative energy detection (CED) for spectrum sensing. The noise variance is modeled as a random variable with a known distribution. The analyzed system model is similar to a distributed parallel detection network where each secondary user (SU) evaluates the energy from its received signal samples and sends it to a fusion center (FC), which makes the final decision. However, in the proposed DST-based method, the SUs sends computed belief-values instead of actual energy value to the FC. The uncertainty in the noise variance is accounted for by discounting the belief values based on the amount of uncertainty associated with each SU. Finally, the discounted belief values are combined using Dempster rule to reach at a global decision. Simulation results indicate that the proposed DST scheme significantly improves the detection probability under low average signal-to-noise ratio(ASNR) compared to the traditional sum fusion rule in the presence of noise uncertainty.en
dc.description.versionPeer revieweden
dc.format.extent7
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationChaudhari , S , Gohain , P B & Koivunen , V 2017 , Evidence Theory based Cooperative Energy Detection under Noise Uncertainty . in 2017 IEEE Global Communications Conference (GLOBECOM) . IEEE Global Communications Conference , IEEE , Singapore , IEEE Global Communications Conference , Singapore , Singapore , 04/12/2017 . https://doi.org/10.1109/GLOCOM.2017.8254538en
dc.identifier.doi10.1109/GLOCOM.2017.8254538en_US
dc.identifier.isbn978-1-5090-5019-2
dc.identifier.issn2334-0983
dc.identifier.otherPURE UUID: c1d74b55-9862-4631-bd96-58a369a01bc0en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/c1d74b55-9862-4631-bd96-58a369a01bc0en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/21280395/ELEC_Gohain_et_al_Evidence_Theory_IEEECommConf.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/35257
dc.identifier.urnURN:NBN:fi:aalto-201812106272
dc.language.isoenen
dc.relation.ispartofIEEE Global Communications Conferenceen
dc.relation.ispartofseries2017 IEEE Global Communications Conference (GLOBECOM)en
dc.relation.ispartofseriesIEEE Global Communications Conferenceen
dc.rightsopenAccessen
dc.subject.keywordcognitive radioen_US
dc.subject.keywordflexible spectrum useen_US
dc.subject.keyworddetection theoryen_US
dc.titleEvidence Theory based Cooperative Energy Detection under Noise Uncertaintyen
dc.typeConference article in proceedingsfi
dc.type.versionacceptedVersion
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