Comparison of cooperative spectrum sensing strategies in distributed cognitive radio networks

Jin Lai, Eryk Dutkiewicz, Ren Ping Liu, Rein Vesilo

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

    6 Citations (Scopus)

    Abstract

    Cooperative spectrum sensing has been proposed to significantly improve spectrum sensing accuracy by taking advantage of the cooperation among secondary users (SUs), but also this incurs some sensing cost. In this paper, we present a cooperative spectrum sensing model with consideration to spectrum sensing cost in distributed cognitive radio networks where each SU aims to maximize its utility. Under the scenario with selfish SUs, we formulate cooperative spectrum sensing as a non-cooperative game and obtain the mixed strategy Nash equilibrium of the formulated spectrum sensing game by deriving the sensing probabilities of SUs. Under the scenario with limited collaboration of SUs, we formulate cooperative spectrum sensing as a nonlinear optimization problem and derive the optimal sensing strategy of SUs by using our proposed Newton-Raphson based algorithm. Numerical results demonstrate that SUs with limited collaboration are able to achieve much better performance than the outcome of the Nash equilibrium and by choosing the optimal sensing strategy SUs are able to maximize their utility, which is an effective tradeoff between SU throughput and sensing cost.

    Original languageEnglish
    Title of host publication2012 IEEE Global Communications Conference, GLOBECOM 2012
    Place of PublicationPiscataway, NJ
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Pages1513-1518
    Number of pages6
    ISBN (Print)9781467309219
    DOIs
    Publication statusPublished - 2012
    Event2012 IEEE Global Communications Conference, GLOBECOM 2012 - Anaheim, CA, United States
    Duration: 3 Dec 20127 Dec 2012

    Other

    Other2012 IEEE Global Communications Conference, GLOBECOM 2012
    CountryUnited States
    CityAnaheim, CA
    Period3/12/127/12/12

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