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Performance analysis of high-traffic cognitive radio communication system using hybrid spectrum access, prediction and monitoring techniques

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Abstract

In this paper, the hybrid spectrum access and prediction techniques are exploited simultaneously in the high-traffic cognitive radio communication system, in order to enhance the throughput and overcome the problem of waiting states. The hybrid spectrum access is responsible for throughput enhancement by escaping the waiting states whereas the spectrum prediction alleviates the sensing errors in the high-traffic communication environment. The closed-form expression for the throughput of cognitive user (CU) communication is derived and validated the proposed approach with the reported literature. Moreover, a new framework is proposed to conquer the sharing issues of conventional and proposed approaches. In addition to this, the performance metrics of proposed framework such as the data-loss, energy-loss of the CU and interference at the PU have been analyzed.

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Acknowledgements

The authors are sincerely thankful to the potential reviewers for their constructive comments and suggestions to improve the quality of the manuscript. The authors are also highly thankful to Indian Space Research Organization (ISRO) vide project no. ISRO/Res/4/619/14-15 for financial aid.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Jaypee University of Information Technology, Waknaghat, 173215, India

    Prabhat Thakur, Alok Kumar, S. Pandit & G. Singh

  2. Space Application Centre, Indian Space Research Organization, Ahmedabad, 380015, India

    S. N. Satashia

Authors
  1. Prabhat Thakur
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  2. Alok Kumar
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  3. S. Pandit
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  4. G. Singh
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  5. S. N. Satashia
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Corresponding author

Correspondence to G. Singh.

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Thakur, P., Kumar, A., Pandit, S. et al. Performance analysis of high-traffic cognitive radio communication system using hybrid spectrum access, prediction and monitoring techniques. Wireless Netw 24, 2005–2015 (2018). https://doi.org/10.1007/s11276-016-1440-7

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  • DOI: https://doi.org/10.1007/s11276-016-1440-7

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