IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v13y2022i6d10.1007_s13198-022-01764-5.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-022-01764-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-022-01764-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:13:y:2022:i:6:d:10.1007_s13198-022-01764-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.