Co-operative Spectrum sensing using CR node binary decision regression on estimated wireless path-loss curves

N. Nagaraja, G. Kadambi, Yuri Vershinin

    Research output: Chapter in Book/Report/Conference proceedingChapter

    1 Citation (Scopus)

    Abstract

    This research is about improving detection probabilities using regression of binary decisions obtained from individual Cognitive radio nodes on possible radio path-loss curve between primary user and fusion center of co-operative spectrum sensing setup. This is a breakthrough technique in aiding the system probabilities improvements using deterministic nature of long distance radio propagation loss in a distributed detection setup. This paper considers the simple Log-distance path loss model and assumes effect of Log-normal shadowing. The frame work established in this paper can be extended to other variations and combination of path loss models and can deploy advanced pattern matching techniques.
    Original languageEnglish
    Title of host publicationInternational Conference on Electronics and Communication Systems, ICECS 2014
    PublisherIEEE
    PagesArticle number 6892567
    Volume2014
    ISBN (Print)978-147992320-5
    DOIs
    Publication statusPublished - Feb 2014

    Bibliographical note

    This conference paper is not yet available on the repository. The paper was given at the International Conference on Electronics and Communication Systems, ICECS 2014; Coimbatore; India; 13 February 2014 through 14 February 2014

    Keywords

    • Co-operative spectrum sensing
    • Cognitive radio
    • Log-normal shadowing

    Fingerprint Dive into the research topics of 'Co-operative Spectrum sensing using CR node binary decision regression on estimated wireless path-loss curves'. Together they form a unique fingerprint.

  • Cite this

    Nagaraja, N., Kadambi, G., & Vershinin, Y. (2014). Co-operative Spectrum sensing using CR node binary decision regression on estimated wireless path-loss curves. In International Conference on Electronics and Communication Systems, ICECS 2014 (Vol. 2014, pp. Article number 6892567). IEEE. https://doi.org/10.1109/ECS.2014.6892567