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dc.contributor.authorZafaruddin, S.M.-
dc.date.accessioned2023-03-27T09:07:24Z-
dc.date.available2023-03-27T09:07:24Z-
dc.date.issued2019-09-
dc.identifier.urihttps://ieeexplore.ieee.org/abstract/document/8678398-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9967-
dc.description.abstractIn this paper, we characterize the worst-case interference for a finite-area TV white space heterogeneous network using the tools of stochastic geometry. We derive closed-form expressions on the probability distribution function (PDF) and an average value of the aggregate interference for various values of path loss exponent under Rayleigh fading channel. The proposed characterization of the interference is simple and can be used in improving the spectrum access techniques. Using the derived PDF, we demonstrate the performance gain in the spectrum detection of an eigenvalue-based detector for cognitive radio networks.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectEEEen_US
dc.subjectAggregate interferenceen_US
dc.subjectCognitive Radio (CR)en_US
dc.subjectStochastic geometryen_US
dc.subjectTelevision white space (TVWS)en_US
dc.titleStochastic-Geometry Based Characterization of Aggregate Interference in TVWS Cognitive Radio Networksen_US
dc.typeArticleen_US
Appears in Collections:Department of Electrical and Electronics Engineering

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