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Advancement of Non-coherent Spectrum Sensing Technique in Cognitive Radio Networks - A Simulation-Based Analysis

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Computing Science, Communication and Security (COMS2 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1861))

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Abstract

This article provides a concise overview of commonly employed Spectrum Sensing methods in Cognitive Radio (CR). In practical situations where the receiver lacks access to information about the Primary User (PU) signal, the Energy-based detection approach proves to be more appropriate for Spectrum Sensing in CR. The article also explores the advancements made in the Non-coherent (Energy detection) spectrum sensing approach. Additionally, the effectiveness of spectrum sensing heavily relies on selecting the appropriate threshold. Consequently, the article presents a simulation-based analysis of the Static threshold and Adaptive double threshold algorithm, including their limitations. To enhance detection performance, the article proposes the Modified threshold as an alternative to the Static threshold and Adaptive double threshold algorithm. The performance of the Modified threshold is validated using a MATLAB simulator with a QPSK modulated Orthogonal Frequency Division Multiplexing (OFDM) signal. The results demonstrate that the Modified Threshold outperforms the Static and Adaptive double threshold algorithms, particularly at low Signal to Noise Ratio (SNR) levels.

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Authors and Affiliations

  1. Faculty of Technology, Dharmsinh Desai University, Nadiad, Gujarat, India

    Narendrakumar Chauhan & Purvang Dalal

Authors
  1. Narendrakumar Chauhan
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  2. Purvang Dalal
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Corresponding author

Correspondence to Narendrakumar Chauhan .

Editor information

Editors and Affiliations

  1. Ganpat University, Mehsana, India

    Nirbhay Chaubey

  2. Kerala University of Digital Sciences, Innovation and Technology, Trivandrum, India

    Sabu M. Thampi

  3. Taylor's University, Subang Jaya, Malaysia

    Noor Zaman Jhanjhi

  4. Ganpat University, Mehsana, India

    Satyen Parikh

  5. Ganpat University, Mehsana, India

    Kiran Amin

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Chauhan, N., Dalal, P. (2023). Advancement of Non-coherent Spectrum Sensing Technique in Cognitive Radio Networks - A Simulation-Based Analysis. In: Chaubey, N., Thampi, S.M., Jhanjhi, N.Z., Parikh, S., Amin, K. (eds) Computing Science, Communication and Security. COMS2 2023. Communications in Computer and Information Science, vol 1861. Springer, Cham. https://doi.org/10.1007/978-3-031-40564-8_7

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  • DOI: https://doi.org/10.1007/978-3-031-40564-8_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-40563-1

  • Online ISBN: 978-3-031-40564-8

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