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Cooperative Spectrum Sensing in the DSA: Simulation of Spectrum Sensing Time Consumptions by Cognitive Radio Secondary Users

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Emerging Trends in Electrical, Electronic and Communications Engineering (ELECOM 2016)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 416))

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Abstract

Wireless Communication and Signal Processing have become areas of flourishing research and innovation. Mathematical Modeling and Computational Simulations emerge as powerful ways to describe, analyze and control situations, solve problems and then interpret the results. The aim of this paper is to analyze the optimal sensing time made by cognitive radio secondary users during cooperative spectrum sensing in the Distributed Spectrum Utilization. The optimal time made by each cognitive radio user participating in cooperative spectrum sensing is modelled as a stochastic differential equation. The combination of all these sensing of the spectrum leads to a system of stochastic differential equations which is solved using a Runge-Kutta method. Computational simulations are provided to show that the total spectrum sensing time made by cognitive radios in the cooperative spectrum sensing is less than the total time they made in the spectrum sensing without cooperation.

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Author information

Authors and Affiliations

  1. Mechanical Engineering and Engineering Management, University of Johannesburg (UJ), (Auckland Park Kingsway Campus) (APK): Corner Kingsway and University Rd, Rossmore, Johannesburg, 2001, Gauteng, South Africa

    Masiala Mavungu & A. L. Nel

Authors
  1. Masiala Mavungu
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  2. A. L. Nel
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Corresponding author

Correspondence to Masiala Mavungu .

Editor information

Editors and Affiliations

  1. ACSE, University of Sheffield, Sheffield, United Kingdom

    Peter Fleming

  2. Department of Mechanical Engineering, Indian Institute of Technology, Kanpur, India

    Nalinaksh Vyas

  3. Department of Computer Science, University of Surrey, Guildford, United Kingdom

    Saeid Sanei

  4. Michigan State University, East Lansing, Michigan, USA

    Kalyanmoy Deb

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Mavungu, M., Nel, A.L. (2017). Cooperative Spectrum Sensing in the DSA: Simulation of Spectrum Sensing Time Consumptions by Cognitive Radio Secondary Users. In: Fleming, P., Vyas, N., Sanei, S., Deb, K. (eds) Emerging Trends in Electrical, Electronic and Communications Engineering. ELECOM 2016. Lecture Notes in Electrical Engineering, vol 416. Springer, Cham. https://doi.org/10.1007/978-3-319-52171-8_20

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  • DOI: https://doi.org/10.1007/978-3-319-52171-8_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52170-1

  • Online ISBN: 978-3-319-52171-8

  • eBook Packages: EngineeringEngineering (R0)

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