Distributed and collaborative primary signal feature estimation for cognitive radios under communication constraints

Zhenlei Shen, Yan Li, Shalinee Kishore, Aylin Yener

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

    Abstract

    Collaborative algorithms are needed to improve the reliability of spectrum sensing in a network of cognitive radios (CRs). This work studies a consensus based approach to sharing spectral measurements between a multihop network of CRs. Specifically, the impact of link errors are incorporated in determining the convergence behavior of consensus based spectrum sensing. Results show that as the number of message exchanges increases, the convergence time and the deviation of the convergence value increase. Hierarchical consensus, a modification to the original consensus algorithm, is proposed to reduce the number of message exchanges while still obtaining the collaborative gains of shared spectrum sensing.

    Original languageEnglish (US)
    Title of host publicationConference Record of the 41st Asilomar Conference on Signals, Systems and Computers, ACSSC
    Pages2068-2072
    Number of pages5
    DOIs
    StatePublished - Dec 1 2007
    Event41st Asilomar Conference on Signals, Systems and Computers, ACSSC - Pacific Grove, CA, United States
    Duration: Nov 4 2007Nov 7 2007

    Publication series

    NameConference Record - Asilomar Conference on Signals, Systems and Computers
    ISSN (Print)1058-6393

    Other

    Other41st Asilomar Conference on Signals, Systems and Computers, ACSSC
    CountryUnited States
    CityPacific Grove, CA
    Period11/4/0711/7/07

    All Science Journal Classification (ASJC) codes

    • Signal Processing
    • Computer Networks and Communications

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