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dc.contributor.advisorPillutla, Laxminarayana S.
dc.contributor.authorBharmal, Sara
dc.date.accessioned2017-06-10T14:43:20Z
dc.date.available2017-06-10T14:43:20Z
dc.date.issued2015
dc.identifier.citationBharmal, Sara (2015). Spectrum sensing in cognitive radio using quickest change detection framework. Dhirubhai Ambani Institute of Information and Communication Technology, vii, 38 p. (Acc.No: T00528)
dc.identifier.urihttp://drsr.daiict.ac.in/handle/123456789/565
dc.description.abstractSpectrum sensing is a term associated with detection of primary (licensed) users (PU) by secondary (unlicensed) users (SU) to pursue opportunistic transmission of their data. The problem of spectrum sensing is challenging because of the distributed nature of SU. Since the presence or absence of PU has to be detected as quickly as possible therefore we use an approach based on quickest detection. To improve sensing efficiency we assume the SU to be equipped with multiple antennas for spectrum sensing. We also assume that each antenna makes fixed number of observations which are used to compute energy metrics. The energy metrics computed at various antennas are then combined using weights determined according to Fisher linear discriminant criterion. In our work we proposed a theoretical framework for change detection of the two hypotheses namely presence (or) absence of PU. From our simulation results we observe that the average detection delay decreases with an increase in the number of observations. The proposed weighted gain combining (WGC) gives lower average detection delay than the equal gain combining (EGC).
dc.publisherDhirubhai Ambani Institute of Information and Communication Technology
dc.subjectSpectral bands
dc.subjectRadio & TV communications equipment
dc.subjectStandard Industrial Classification
dc.subjectWireless communication systems
dc.subjectWireless sensor networks
dc.subjectSpectrum sensing
dc.classification.ddc621.384 BHA
dc.titleSpectrum sensing in cognitive radio using quickest change detection framework
dc.typeDissertation
dc.degreeM. Tech
dc.student.id201311034
dc.accession.numberT00528


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