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Estimation based cyclostationary detection for energy harvesting cooperative cognitive radio network

Author

Listed:
  • Banani Talukdar

    (National Institute of Technology Silchar)

  • Deepak Kumar

    (Indian Institute of Technology Indore)

  • Shanidul Hoque

    (Madanapalle Institute of Technology & Science)

  • Wasim Arif

    (National Institute of Technology Silchar)

Abstract

The two prime dynamics that are steering the future wireless communications are energy efficiency and efficient spectral usage. Energy harvesting (EH) when integrated with cognitive radio (CR) technology guarantees to address the challenges of limited availability of energy and spectrum. In this paper, we propose an estimation based cyclostationary spectrum sensing technique in an energy harvesting cooperative cognitive radio network (EH-CRN). The analytical model for the assessment of the performance is established under various fusion rules with varying numbers of nodes in a centralized cooperative CRN. The performance is investigated with respect to the harvested energy and overall throughput of the network. We model the analytical framework for the detection performance, energy harvesting, and throughput in an EH-CRN scenario. The implication of the various network parameters viz., detection frames, number of CR users operating in cooperation, collision probability, prediction error upon the throughput of the network is studied. A comprehensive comparative analysis is made between the performance of an estimation based cyclostationary detection (ECSD) and estimated noise power based energy detection strategy (ENP ED). The results indicate that the proposed estimation based cyclostationary approach provides a better performance regardless of the low SNR and is immune to noise uncertainty as compared to other techniques.

Suggested Citation

  • Banani Talukdar & Deepak Kumar & Shanidul Hoque & Wasim Arif, 2022. "Estimation based cyclostationary detection for energy harvesting cooperative cognitive radio network," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 79(1), pages 133-150, January.
    • Handle: RePEc:spr:telsys:v:79:y:2022:i:1:d:10.1007_s11235-021-00846-2
    DOI: 10.1007/s11235-021-00846-2
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    References listed on IDEAS

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    1. Shanidul Hoque & Wasim Arif, 2017. "Performance analysis of cognitive radio networks with generalized call holding time distribution of secondary user," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 66(1), pages 95-108, September.
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    Cited by:

    1. M. Poonguzhali & M. V. H. Bhaskara Murthy & Rakesh Kumar Godi & N. Mahesh Kumar, 2024. "An energy-optimized green cooperative cognitive radio network for better spectrum sharing," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 87(2), pages 343-357, October.

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