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Double-threshold energy detection: noisy environment applied cognitive radio

Author

Listed:
  • Kancharapu Chaitanya

    (Institute of Aeronautical Engineering Dundigal)

  • Mohammad Khadir

    (Institute of Aeronautical Engineering Dundigal)

  • S. Sushma

    (Institute of Aeronautical Engineering Dundigal)

  • Lavanya Nalla

    (Nalla Narasimhareddy Educational Society’s Group of Institutions)

  • G. Naveen

    (Institute of Aeronautical Engineering Dundigal)

  • N. Manjula

    (Institute of Aeronautical Engineering Dundigal)

  • M. Saritha

    (Institute of Aeronautical Engineering Dundigal)

  • M. Lavanya

    (Institute of Aeronautical Engineering Dundigal)

  • Mulinti Narendra Reddy

    (Institute of Aeronautical Engineering Dundigal)

  • Vallabhuni Vijay

    (Institute of Aeronautical Engineering Dundigal
    Nalla Narasimhareddy Educational Society’s Group of Institutions)

Abstract

There is an enormous development of wireless communications in the past few years. Due to this frequency spectrum is becoming a very precious resource and insufficiency of the spectrum is a serious problem. So, there is a need to improve the utilization of spectrum effectively. Cognitive radio has demonstrated to be a successful innovation for catching the range, yet additionally for utilizing it. Spectrum sensing can be achieved utilizing a traditional energy identification method that utilizes a single threshold to identify the nearness or nonappearance of the signal, yet whose performance degrades when the SNR is low. To overcome this issue, researchers provide twofold threshold-based spectrum sensing, which looks at the history of sensing in the confusion zone. The test results are compared to these two levels, and a judgement is made on whether main users should be present. In simulations, the suggested double threshold approach outperforms both the double and single threshold detection methods. We investigated spectrum allocation and efficiency using the proposed double threshold method.

Suggested Citation

  • Kancharapu Chaitanya & Mohammad Khadir & S. Sushma & Lavanya Nalla & G. Naveen & N. Manjula & M. Saritha & M. Lavanya & Mulinti Narendra Reddy & Vallabhuni Vijay, 2022. "Double-threshold energy detection: noisy environment applied cognitive radio," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(6), pages 2944-2948, December.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:6:d:10.1007_s13198-022-01764-5
    DOI: 10.1007/s13198-022-01764-5
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    References listed on IDEAS

    as
    1. Vallabhuni Vijay & C. V. Sai Kumar Reddy & Chandra Shaker Pittala & Rajeev Ratna Vallabhuni & M. Saritha & M. Lavanya & S. China Venkateswarlu & M. Sreevani, 2021. "ECG performance validation using operational transconductance amplifier with bias current," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(6), pages 1173-1179, December.
    2. Fatih Yavuz Ilgin, 2022. "Spectrum sensing with standart and demmel condition number under Gaussian approach," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 79(3), pages 397-404, March.
    3. S. Swathi & S. Sushma & C. Devi Supraja & V. Bindusree & L. Babitha & Vallabhuni Vijay, 2022. "A hierarchical image matting model for blood vessel segmentation in retinal images," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 1093-1101, June.
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    Cited by:

    1. Sadulla Shaik & Satish Kanapala & Vallabhuni Vijay & Chandra Shaker Pittala, 2023. "Design and performance analysis of low power and energy-efficient vedic multipliers," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(3), pages 894-902, June.

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    1. Sadulla Shaik & Satish Kanapala & Vallabhuni Vijay & Chandra Shaker Pittala, 2023. "Design and performance analysis of low power and energy-efficient vedic multipliers," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(3), pages 894-902, June.

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