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Proceedings of Ninth International Conference on Wireless Communication and Sensor Networks pp 89–100Cite as

Dynamic Spectrum Sensing in Cognitive Radio Networks Using Compressive Sensing

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 299))

Abstract

In this paper, we propose a compressive sensing-based dynamic spectrum sensing algorithm for a cognitive radio network. The algorithm assumes the knowledge of initial energies in occupied channels and by using a number of wideband filters as a sensing matrix and l − 1 minimization-based dynamic detection algorithm, iteratively determines the change in occupancy of channels. The advantages of such an algorithm include reduced number of filters than in previously used algorithms and a better performance at low SNRs. The performance of the algorithm is studied by varying different parameters involved and the results are shown. We demonstrate that the algorithm is effective and robust to noise.

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References

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Acknowledgments

I thank Dr. Pratik Shah for the encouragement and support he has given me. I thank my family who also supported me in the course of writing this paper.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, The LNM Institute of Information Technology, Rupa-ki-Nangal, Jaipur, 303012, India

    Neeraj Kumar Reddy Dantu

Authors
  1. Neeraj Kumar Reddy Dantu
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Corresponding author

Correspondence to Neeraj Kumar Reddy Dantu .

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Editors and Affiliations

  1. Electronics & Communication Engineering, Indian Institute of Information Technology, Allahabad, Uttar Pradesh, India

    Radhakrishna Maringanti

  2. Administration Block, Indian Institute of Information Technology, Allahabad, Uttar Pradesh, India

    Murlidhar Tiwari

  3. Comp Sc & Engg & Inst of Sensing System, Ohio State University, Columbus, Ohio, USA

    Anish Arora

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Dantu, N.K.R. (2014). Dynamic Spectrum Sensing in Cognitive Radio Networks Using Compressive Sensing. In: Maringanti, R., Tiwari, M., Arora, A. (eds) Proceedings of Ninth International Conference on Wireless Communication and Sensor Networks. Lecture Notes in Electrical Engineering, vol 299. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1823-4_9

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  • DOI: https://doi.org/10.1007/978-81-322-1823-4_9

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1822-7

  • Online ISBN: 978-81-322-1823-4

  • eBook Packages: EngineeringEngineering (R0)

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