Performance limits for cognitive small cells

Matthias Wildemeersch, Matthias Wildemeersch, Tony Q.S. Quek, Alberto Rabbachin, Cornelis H. Slump, Aiping Huang

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

    2 Citations (Scopus)
    22 Downloads (Pure)


    Heterogeneous networks consisting of a macrocell tier and a small cell tier are foreseen as one of the solutions to meet the ever increasing mobile data demand. Since a massive deployment of small cell access points (SAPs) leads also to a considerable increase in energy consumption, the energy efficient design of those SAPs is crucial. Sleep mode techniques are a promising strategy to reduce the energy consumption, yet they require cognitive capabilities to detect the presence of a macrocell user. In this work, we define a fundamental limit on the interference density that allows robust user detection. Beyond this limit, which we call the interference wall, an energy efficient SAP design is impossible. In addition, we elucidate the relation between energy efficiency and sensing time using large deviations theory.
    Original languageUndefined
    Title of host publicationIEEE Wireless Communications and Networking Conference, WCNC 2013
    Place of PublicationUSA
    PublisherIEEE Communications Society
    Number of pages5
    ISBN (Print)978-1-4673-5937-5
    Publication statusPublished - 7 Apr 2013
    EventIEEE Wireless Communications & Networking Conference, WCNC 2013 - Shanghai, China
    Duration: 7 Apr 201310 Apr 2013

    Publication series

    PublisherIEEE Communications Society
    ISSN (Print)1525-3511


    ConferenceIEEE Wireless Communications & Networking Conference, WCNC 2013
    Abbreviated titleWCNC
    Internet address


    • EWI-24601
    • IR-89860
    • METIS-304035

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