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Research Article | | Peer-Reviewed

Detection of Practical Primary Users in Severe Noise Environments for Cognitive Radio

Mousumi Haque*,  Yosuke Sugiura,  Tetsuya Shimamura
Published in American Journal of Networks and Communications (Volume 13, Issue 2)
Received: 21 August 2024     Accepted: 18 September 2024     Published: 31 October 2024
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Abstract

Cognitive radio (CR) is one of the compelling ideas to solve the spectrum scarcity problem for rapid developments in wireless communication systems. In CR systems, signal detection for orthogonal frequency division multiplexing (OFDM) systems in severe noise environments is a key challenge. The area of practical primary user detection has not been explored in depth. The proposed method is an effective method for sensing OFDM applications, which are the practical primary users, for low signal-to-noise (SNR) cases. In the proposed method, the parallel combination of the comb filter and the time-domain autocorrelation function is exploited. The detection performance is measured for various OFDM system applications, including the IEEE 802.11a wireless LAN (WLAN) radio interface, long-term evaluation (LTE), and digital audio broadcasting (DAB) for various CP ratios under 16-quadrature amplitude modulation (16-QAM) and 64-quadrature amplitude modulation (64-QAM) over multipath Rayleigh fading channels with additive white Gaussian noise (AWGN). Furthermore, the OFDM sensing is possible in the presence of noise uncertainty and the sensing performance is compared under consideration with and without noise uncertainty cases. The simulation results demonstrated that our proposed method undoubtedly improves the sensing performances (up to 11 dB SNR gain) of practical primary users more than the conventional spectrum detection methods for low SNR cases.

Published in American Journal of Networks and Communications (Volume 13, Issue 2)
DOI 10.11648/j.ajnc.20241302.12
Page(s) 97-107
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

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Copyright © The Author(s), 2024. Published by Science Publishing Group
Previous article
Keywords

WLAN, LTE, DAB, Noise Uncertainty, SNR, Cognitive Radio

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    Haque, M., Sugiura, Y., Shimamura, T. (2024). Detection of Practical Primary Users in Severe Noise Environments for Cognitive Radio. American Journal of Networks and Communications, 13(2), 97-107. https://doi.org/10.11648/j.ajnc.20241302.12

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    Haque, M.; Sugiura, Y.; Shimamura, T. Detection of Practical Primary Users in Severe Noise Environments for Cognitive Radio. Am. J. Netw. Commun. 2024, 13(2), 97-107. doi: 10.11648/j.ajnc.20241302.12

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    AMA Style

    Haque M, Sugiura Y, Shimamura T. Detection of Practical Primary Users in Severe Noise Environments for Cognitive Radio. Am J Netw Commun. 2024;13(2):97-107. doi: 10.11648/j.ajnc.20241302.12

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  • @article{10.11648/j.ajnc.20241302.12,
  author = {Mousumi Haque and Yosuke Sugiura and Tetsuya Shimamura},
  title = {Detection of Practical Primary Users in Severe Noise Environments for Cognitive Radio},
  journal = {American Journal of Networks and Communications},
  volume = {13},
  number = {2},
  pages = {97-107},
  doi = {10.11648/j.ajnc.20241302.12},
  url = {https://doi.org/10.11648/j.ajnc.20241302.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnc.20241302.12},
  abstract = {Cognitive radio (CR) is one of the compelling ideas to solve the spectrum scarcity problem for rapid developments in wireless communication systems. In CR systems, signal detection for orthogonal frequency division multiplexing (OFDM) systems in severe noise environments is a key challenge. The area of practical primary user detection has not been explored in depth. The proposed method is an effective method for sensing OFDM applications, which are the practical primary users, for low signal-to-noise (SNR) cases. In the proposed method, the parallel combination of the comb filter and the time-domain autocorrelation function is exploited. The detection performance is measured for various OFDM system applications, including the IEEE 802.11a wireless LAN (WLAN) radio interface, long-term evaluation (LTE), and digital audio broadcasting (DAB) for various CP ratios under 16-quadrature amplitude modulation (16-QAM) and 64-quadrature amplitude modulation (64-QAM) over multipath Rayleigh fading channels with additive white Gaussian noise (AWGN). Furthermore, the OFDM sensing is possible in the presence of noise uncertainty and the sensing performance is compared under consideration with and without noise uncertainty cases. The simulation results demonstrated that our proposed method undoubtedly improves the sensing performances (up to 11 dB SNR gain) of practical primary users more than the conventional spectrum detection methods for low SNR cases.},
 year = {2024}
}

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  • TY  - JOUR
T1  - Detection of Practical Primary Users in Severe Noise Environments for Cognitive Radio
AU  - Mousumi Haque
AU  - Yosuke Sugiura
AU  - Tetsuya Shimamura
Y1  - 2024/10/31
PY  - 2024
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DO  - 10.11648/j.ajnc.20241302.12
T2  - American Journal of Networks and Communications
JF  - American Journal of Networks and Communications
JO  - American Journal of Networks and Communications
SP  - 97
EP  - 107
PB  - Science Publishing Group
SN  - 2326-8964
UR  - https://doi.org/10.11648/j.ajnc.20241302.12
AB  - Cognitive radio (CR) is one of the compelling ideas to solve the spectrum scarcity problem for rapid developments in wireless communication systems. In CR systems, signal detection for orthogonal frequency division multiplexing (OFDM) systems in severe noise environments is a key challenge. The area of practical primary user detection has not been explored in depth. The proposed method is an effective method for sensing OFDM applications, which are the practical primary users, for low signal-to-noise (SNR) cases. In the proposed method, the parallel combination of the comb filter and the time-domain autocorrelation function is exploited. The detection performance is measured for various OFDM system applications, including the IEEE 802.11a wireless LAN (WLAN) radio interface, long-term evaluation (LTE), and digital audio broadcasting (DAB) for various CP ratios under 16-quadrature amplitude modulation (16-QAM) and 64-quadrature amplitude modulation (64-QAM) over multipath Rayleigh fading channels with additive white Gaussian noise (AWGN). Furthermore, the OFDM sensing is possible in the presence of noise uncertainty and the sensing performance is compared under consideration with and without noise uncertainty cases. The simulation results demonstrated that our proposed method undoubtedly improves the sensing performances (up to 11 dB SNR gain) of practical primary users more than the conventional spectrum detection methods for low SNR cases.
VL  - 13
IS  - 2
ER  -

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