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Spectrum Analysis Using Semantic Models for Context

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Book cover Cognitive Radio-Oriented Wireless Networks (CrownCom 2019)

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Abstract

With the ever-increasing demand for spectrum to support wireless innovation, it is critical to understand the fine-grained characteristics of spectrum use in frequency, space and time to facilitate greater spectrum sharing. Contextual information is needed to analyze how the spectrum is being utilized and understand the drivers for spectrum use dynamics. Since human activity often drives spectrum use, understanding this activity can provide significant insight. Analysis of wideband spectrum is extremely time consuming as each band has unique characteristics, domain knowledge and usage drivers. Toward automated analysis, this paper proposes an approach to incorporate contextual information into the analysis utilizing semantic models to capture domain and human activity knowledge. This approach is illustrated through analysis of spectrum measurements of four frequencies licensed to the Chicago White Sox.

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Acknowledgements

The authors would like to acknowledge support from the National Science Foundation through NSF 1526638.

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Authors and Affiliations

  1. Illinois Institute of Technology, Chicago, IL, 60616, USA

    Vaishali Nagpure, Stephanie Vaccaro & Cynthia Hood

Authors
  1. Vaishali Nagpure
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  2. Stephanie Vaccaro
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  3. Cynthia Hood
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Corresponding author

Correspondence to Vaishali Nagpure .

Editor information

Editors and Affiliations

  1. Poznan University of Technology, Poznan, Poland

    Adrian Kliks

  2. Faculty of Electronics and Communication, Poznań University of Technology, Poznan, Poland

    Paweł Kryszkiewicz

  3. Centrale Supelec, Cesson Sevigne Cedex, France

    Faouzi Bader

  4. University of Surrey, Guildford, UK

    Dionysia Triantafyllopoulou

  5. Syracuse University, New York, USA

    Carlos E. Caicedo

  6. Ruhr-University Bochum, Bochum, Germany

    Aydin Sezgin

  7. NCSR “Demokritos”, Athens, Greece

    Nikos Dimitriou

  8. Poznan University of Technology, Poznan, Poland

    Michał Sybis

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Nagpure, V., Vaccaro, S., Hood, C. (2019). Spectrum Analysis Using Semantic Models for Context. In: Kliks, A., et al. Cognitive Radio-Oriented Wireless Networks. CrownCom 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 291. Springer, Cham. https://doi.org/10.1007/978-3-030-25748-4_10

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  • DOI: https://doi.org/10.1007/978-3-030-25748-4_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-25747-7

  • Online ISBN: 978-3-030-25748-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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