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Spectrum Database and Smart Spectrum

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Handbook of Cognitive Radio

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Abstract

In this chapter, spectrum management technologies based on a spectrum database are introduced. Statistical spectrum maps and spectrum databases are important components for understanding a spectrum environment that has locality due to geolocation, surrounding structures, frequency, and so on. The typical spectrum database provides spectrum information according to a radio propagation model for estimating the unused spectrum for spectrum sharing. However, the original geolocation spectrum database does not consider the site-specific environment because a statistical radio propagation model is used. Here, in order to improve the accuracy of the spectrum database, the measurement-based spectrum database is considered. The highly accurate spectrum database can improve spectrum-sharing performance and spectrum efficiency. Finally, a future spectrum management concept, called a smart spectrum, is introduced to open up the possibility for a new wireless world.

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Author information

Authors and Affiliations

  1. Advanced Wireless and Communication Research Center, The University of Electro-Communications, Tokyo, Japan

    Takeo Fujii

  2. Electrical and Electronics Engineering Course, Tokyo Metropolitan College of Industrial Technology, Tokyo, Japan

    Kei Inage

  3. Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan

    Koya Sato

Authors
  1. Takeo Fujii
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  2. Kei Inage
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  3. Koya Sato
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Corresponding author

Correspondence to Takeo Fujii .

Editor information

Editors and Affiliations

  1. Electrical Engg Bldg, Rm 325, The University of New South Wales, Sydney, New South Wales, Australia

    Wei Zhang

Section Editor information

  1. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK

    Yue Gao

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© 2018 Springer Nature Singapore Pte Ltd.

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Fujii, T., Inage, K., Sato, K. (2018). Spectrum Database and Smart Spectrum. In: Zhang, W. (eds) Handbook of Cognitive Radio . Springer, Singapore. https://doi.org/10.1007/978-981-10-1389-8_56-1

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  • DOI: https://doi.org/10.1007/978-981-10-1389-8_56-1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1389-8

  • Online ISBN: 978-981-10-1389-8

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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