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LRS-\(G^2\) Based Non-parametric Spectrum Sensing for Cognitive Radio

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Cognitive Radio Oriented Wireless Networks (CrownCom 2016)

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Abstract

In this paper, a novel non-parametric spectrum sensing scheme in cognitive radio (CR) is proposed based on robust Goodness of Fit (GoF) test. The proposed scheme uses likelihood ratio statistics (LRS-\(G^2\)), from which goodness of fit test is derived. The test is applied assuming different types of primary user (PU) signals such as static or constant, single frequency sine wave and Gaussian signals, whereas different types of channels such as additive white Gaussian noise (AWGN), block fading and time-varying channels. Considering a real time scenario, uncertainty in noise variance is also assumed. The performance of the proposed scheme is shown using receiver operating characteristics (ROC) and it is compared with energy detection (ED) and prevailing GoF based sensing techniques such as Anderson-Darling (AD) sensing, Order Statistic based sensing and Kolmogrov-Smirnov (KS) sensing. It is shown that the proposed scheme outperforms all these prevailing schemes.

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Author information

Authors and Affiliations

  1. Institute of Engineering and Technology, Ahmedabad University, Gujarat, India

    D. K. Patel

  2. Institute of Technology, Nirma University, Gujarat, India

    Y. N. Trivedi

Authors
  1. D. K. Patel
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  2. Y. N. Trivedi
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Corresponding author

Correspondence to D. K. Patel .

Editor information

Editors and Affiliations

  1. CEA-LETI , Grenoble, France

    Dominique Noguet

  2. University of Surrey, Guildford, United Kingdom

    Klaus Moessner

  3. CentraleSupélec – Campus de Rennes, Institut d'Électronique et de Télécommunications de Rennes UMR CNRS 6164, Cesson-Sévigné, France

    Jacques Palicot

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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Patel, D.K., Trivedi, Y.N. (2016). LRS-\(G^2\) Based Non-parametric Spectrum Sensing for Cognitive Radio. In: Noguet, D., Moessner, K., Palicot, J. (eds) Cognitive Radio Oriented Wireless Networks. CrownCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 172. Springer, Cham. https://doi.org/10.1007/978-3-319-40352-6_27

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  • DOI: https://doi.org/10.1007/978-3-319-40352-6_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40351-9

  • Online ISBN: 978-3-319-40352-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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