Cognitive radio has received considerable amount of attention as a promising technique to provide dynamic spectrum allocation. Wide-band spectrum sensing is the corner stone for cognitive radio to be functional. Most existing commercial sensing solutions lack either the required flexibility or speed. Software-defined radio (SDR) on the other hand offers very high flexibility and therefore becomes a common platform for CR implementation. Among various SDR platforms, the universal software-defined radio peripheral (USRP) gained broad popularity. This paper presents a real-time wide-band-capable spectrum sensing solution based on USRP. The concept of energy detection and the methodology for wide-band sensing are explained. Finally, the performance of the proposed sensing solution is verified and compared with another popular commercial sensing solution, Airmagnet.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Real-time wide-band spectrum sensing for cognitive radio


    Beteiligte:
    Wei Liu, (Autor:in) / Yaron, O. (Autor:in) / Moerman, I. (Autor:in) / Bouckaert, S. (Autor:in) / Jooris, B. (Autor:in) / Demeester, P. (Autor:in)


    Erscheinungsdatum :

    01.11.2011


    Format / Umfang :

    235141 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Multi-Band Cooperative Spectrum Sensing in RF Powered Cognitive Radio Networks

    Basharat, Mehak / Ejaz, Waleed / Raahemifar, Kaamran et al. | IEEE | 2016


    Cooperative Spectrum Sensing in Cognitive Radio Systems

    Zheng, Xueqiang / Cui, Li / Chen, Juan et al. | IEEE | 2008



    Distribution-Free Spectrum Sensing for Full Duplex Cognitive Radio

    Patel, Kartik / Patel, Dhaval / Lopcz-Benitez, Miguel et al. | IEEE | 2018


    SDR Implementation of Spectrum Sensing for Wideband Cognitive Radio

    Merlano-Duncan, J. C. / Bogale, Tadilo Endeshaw / Le, Long Bao | IEEE | 2015