Spectrum Sensing Strategies in Cognitive Radio Networks: Spectrum Sensing

Madhukar Deshmukh

Publikation: Bog/antologi/afhandling/rapportPh.d.-afhandlingForskning

OriginalsprogEngelsk
Antal sider145
StatusUdgivet - 2017
NavnPh.d.-serien for Det Tekniske Fakultet for IT og Design, Aalborg Universitet
ISSN2446-1628

Emneord

    Citer dette

    Deshmukh, M. (2017). Spectrum Sensing Strategies in Cognitive Radio Networks: Spectrum Sensing. Ph.d.-serien for Det Tekniske Fakultet for IT og Design, Aalborg Universitet
    Deshmukh, Madhukar. / Spectrum Sensing Strategies in Cognitive Radio Networks : Spectrum Sensing. 2017. 145 s. (Ph.d.-serien for Det Tekniske Fakultet for IT og Design, Aalborg Universitet).
    @phdthesis{acb17804b7c7478fb07bb170f18f938c,
    title = "Spectrum Sensing Strategies in Cognitive Radio Networks: Spectrum Sensing",
    keywords = "Spectrum Sensing, Opportunistic Spectrum Access, TVWS , Interference Characterization, Stochastic Geometry, Random Matrix theory, EBD, MME, Covariance matrix, Eigenvalues, Signal Detection",
    author = "Madhukar Deshmukh",
    note = "Dissertation not published.",
    year = "2017",
    language = "English",

    }

    Deshmukh, M 2017, Spectrum Sensing Strategies in Cognitive Radio Networks: Spectrum Sensing. Ph.d.-serien for Det Tekniske Fakultet for IT og Design, Aalborg Universitet.

    Spectrum Sensing Strategies in Cognitive Radio Networks : Spectrum Sensing. / Deshmukh, Madhukar.

    2017. 145 s.

    Publikation: Bog/antologi/afhandling/rapportPh.d.-afhandlingForskning

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    T2 - Spectrum Sensing

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    Y1 - 2017

    KW - Spectrum Sensing

    KW - Opportunistic Spectrum Access

    KW - TVWS

    KW - Interference Characterization

    KW - Stochastic Geometry

    KW - Random Matrix theory

    KW - EBD

    KW - MME

    KW - Covariance matrix

    KW - Eigenvalues

    KW - Signal Detection

    M3 - Ph.D. thesis

    BT - Spectrum Sensing Strategies in Cognitive Radio Networks

    ER -

    Deshmukh M. Spectrum Sensing Strategies in Cognitive Radio Networks: Spectrum Sensing. 2017. 145 s. (Ph.d.-serien for Det Tekniske Fakultet for IT og Design, Aalborg Universitet).