On low complexity cooperative spectrum sensing for cognitive networks

Gang Xiong, Shalinee Kishore, Aylin Yener

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    8 Scopus citations

    Abstract

    This paper presents a practical system design approach for cooperative spectrum sensing in cognitive sensor networks. An optimization problem is formulated, where the objective is to choose appropriate number of samples used in local energy calculation and linear combination weights for a global fusion center that together maximize global spectrum detection probability. Depending on the local information available to the fusion center and secondary users, practical system design is proposed in high fusion signal to noise ratio (SNR) regime, which has minimal implementation complexity and negligible performance loss, thus provides an efficient system design alternative in practice. Simulation results are presented to verify the analytical results.

    Original languageEnglish (US)
    Title of host publicationCAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
    Pages145-148
    Number of pages4
    DOIs
    StatePublished - Dec 1 2009
    Event2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2009 - Aruba, Netherlands
    Duration: Dec 13 2009Dec 16 2009

    Publication series

    NameCAMSAP 2009 - 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing

    Other

    Other2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2009
    CountryNetherlands
    CityAruba
    Period12/13/0912/16/09

    All Science Journal Classification (ASJC) codes

    • Computational Theory and Mathematics
    • Computer Networks and Communications
    • Software

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