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On Results’ Reporting of Cooperative Spectrum Sensing in Cognitive Radio Networks

Author

Listed:
  • Saud Althunibat

    (Al-Hussein Bin Talal University)

  • Fabrizio Granelli

    (DISI, University of Trento)

Abstract

One of the main challenges of cooperative spectrum sensing in cognitive radio networks is the overhead in terms of high energy consumption especially when reporting the individual sensing results to a common receiver. Such issue becomes more challenging for battery-powered users, because of its direct influence on achievable performance represented by detection accuracy. Thus, energy efficiency in cognitive radio networks has received a lot of attention during recent years. In this paper, we present a novel reporting scheme for spectrum sensing results, which significantly reduces the energy consumption without any effect on the detection accuracy. The proposed scheme allows the fusion center to terminate the reporting process whenever the received results are enough to make a decision according to the employed fusion rule (FR). Hence, the energy consumed in results’ reporting is reduced as the number of reporting users is lower, and the data transmission can be started earlier, which enhances the achievable throughput. Moreover, the proposed scheme is consistent with many other energy-efficient approaches, leading to improve the energy efficiency achieved by these approaches. Mathematical expressions for the average number of reporting users for several FRs are obtained. Simulation and analytical results show a significant improvement in the energy efficiency.

Suggested Citation

  • Saud Althunibat & Fabrizio Granelli, 2016. "On Results’ Reporting of Cooperative Spectrum Sensing in Cognitive Radio Networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 62(3), pages 569-580, July.
    • Handle: RePEc:spr:telsys:v:62:y:2016:i:3:d:10.1007_s11235-015-0095-5
    DOI: 10.1007/s11235-015-0095-5
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    Cited by:

    1. Yee-Loo Foo, 2021. "Secrecy capacity and energy efficiency in D2D-enabled cellular networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 77(2), pages 351-357, June.
    2. Yee-Loo Foo, 2020. "A spectrum sharing model that counters eavesdropping," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 73(2), pages 183-188, February.

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