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Spectrum Sensing Performance of Cognitive Radio Optimized by Soft Decision Fusion Threshold

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Cognitive Radio Oriented Wireless Networks and Wireless Internet (CROWNCOM 2021, WiCON 2021)

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Abstract

The study aims to obtain higher spectrum efficiency of the cognitive radio system, effectively solve the hidden terminal problem caused by single user spectrum sensing, and improve the spectrum sensing performance of cognitive radio. Based on the analysis of the hard decision and soft decision fusion threshold, the linear weighted cooperative sensing algorithm is used. The purpose is to optimize the soft decision fusion cooperative spectrum sensing threshold from the two perspectives of minimizing the error probability and maximizing the average throughput of the cognitive network. The mathematical function model of error probability and throughput sensing threshold is established, the expression of the optimal threshold is derived, and the influence of various spectrum sensing parameters on the optimal decision threshold is analyzed. It is found that: when the appropriate sensing threshold is selected, compared with other algorithm models of radio spectrum sensing, the performance of the optimized soft decision fusion model proposed is better. It can reduce the error probability and improve the detection accuracy. When the throughput capacity of the cognitive network reaches the maximum, the optimal threshold obtained by the soft decision algorithm makes the detection probability higher up to 93.83%, and the overall performance of the cognitive system is better. The results have specific practical significance and practical value for the research of cognitive radio spectrum sensing.

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Authors and Affiliations

  1. Hebei Normal University, Shijiazhuang, China

    Gefan Wang, Xuefei Sun & Chungang Liu

Authors
  1. Gefan Wang
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  2. Xuefei Sun
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  3. Chungang Liu
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Corresponding author

Correspondence to Chungang Liu .

Editor information

Editors and Affiliations

  1. Hebei Normal University, Shijiazhuang, China

    Huilong Jin

  2. Hebei Normal University, Shijiazhuang, China

    Chungang Liu

  3. United International University, Dhaka, Bangladesh

    Al-Sakib Khan Pathan

  4. Lakehead University, Thunder Bay, ON, Canada

    Zubair Md. Fadlullah

  5. Lakehead University, Thunder Bay, ON, Canada

    Salimur Choudhury

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wang, G., Sun, X., Liu, C. (2022). Spectrum Sensing Performance of Cognitive Radio Optimized by Soft Decision Fusion Threshold. In: Jin, H., Liu, C., Pathan, AS.K., Fadlullah, Z.M., Choudhury, S. (eds) Cognitive Radio Oriented Wireless Networks and Wireless Internet. CROWNCOM WiCON 2021 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 427. Springer, Cham. https://doi.org/10.1007/978-3-030-98002-3_1

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  • DOI: https://doi.org/10.1007/978-3-030-98002-3_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-98001-6

  • Online ISBN: 978-3-030-98002-3

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