IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v88y2025i1d10.1007_s11235-025-01267-1.html
   My bibliography  Save this article

Performance analysis of NOMA based hybrid cognitive radio network assist by full-duplex relay

Author

Listed:
  • Dipak Samanta

    (Haldia Institute of Technology)

  • Chanchal Kumar De

    (Haldia Institute of Technology)

  • Abhijit Chandra

    (Jadavpur University)

Abstract

This paper examines the throughput and outage performance of secondary users in a hybrid cognitive radio network (CRN) based on non-orthogonal multiple access (NOMA) technology. Based on channel occupancy, secondary transmitters in a hybrid CRN immediately switch between overlay or underlay mode in response to sensing results. If the primary user (PU) is not active, they operate in overlay mode with the maximum permitted transmit power else they operate in underlay mode with a transmit power restriction. The secondary network employs the NOMA approach, in which the base station (BS) is assisted by a full-duplex (FD) relay network to send information to the secondary destinations. Secondary transmitters are equipped with energy detector and harvesting circuit which allows to sense and store energy from the radio frequency (RF) of the multiple primary users. The benefit of using multiple FD relays along with the hybrid operation of joint mode transmission enables to increase the system throughput. Finally, an analytical formulation including closed form for the outage probability as encountered by the secondary users (SUs) in the presence of self interference (SI) and imperfect successive interference cancellation (i-SIC) under hybrid mode has been derived and validated through MATLAB simulation.

Suggested Citation

  • Dipak Samanta & Chanchal Kumar De & Abhijit Chandra, 2025. "Performance analysis of NOMA based hybrid cognitive radio network assist by full-duplex relay," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 88(1), pages 1-15, March.
  • Handle: RePEc:spr:telsys:v:88:y:2025:i:1:d:10.1007_s11235-025-01267-1
    DOI: 10.1007/s11235-025-01267-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-025-01267-1
    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/s11235-025-01267-1?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.

    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:telsys:v:88:y:2025:i:1:d:10.1007_s11235-025-01267-1. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.