IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v85y2024i1d10.1007_s11235-023-01067-5.html
   My bibliography  Save this article

Power allocation for enhancing the physical layer secrecy performance of artificial noise-aided full-duplex cooperative NOMA system

Author

Listed:
  • T. Nimi

    (National Institute of Technology Calicut)

  • A. V. Babu

    (National Institute of Technology Calicut)

Abstract

This paper investigates the physical layer security (PLS) performance of full-duplex cooperative non-orthogonal multiple access (FD-CNOMA) network in the presence of an external passive eavesdropper. Firstly, we derive approximate analytical expressions for the secrecy outage probabilities (SOPs) of the downlink users and the system SOP (SSOP) of a single-cell FD-CNOMA network, considering the presence/absence of direct link from the base station (BS) to the far user, under imperfect successive interference cancellation conditions. We consider both perfect channel state information and imperfect CSI conditions. To enhance the PLS performance, we propose an artificial noise (AN)-aided framework and derive approximate analytical expressions for the SOPs of the downlink users and the SSOP of the AN-aided FD-CNOMA network. The asymptotic SOP and SSOP expressions are also derived, which are used to determine the secrecy diversity orders. The proposed AN-aided framework significantly reduces the SOPs of the users and the SSOP of the network compared to that without AN. To further enhance the PLS performance, we use the Polak-Ribiere conjugate gradient method to determine the optimal power allocation coefficient (OPAC) for the users at the BS that minimizes the SSOP of the AN-aided FD-CNOMA network. The proposed OPAC significantly reduces the SOPs of the users and the SSOP, compared to random selection/equal setting of the PACs. Finally, we extend the performance evaluations to a multi-cell scenario and demonstrate that the PLS performance of the FD-CNOMA network significantly deteriorates in the presence of co-channel interference.

Suggested Citation

  • T. Nimi & A. V. Babu, 2024. "Power allocation for enhancing the physical layer secrecy performance of artificial noise-aided full-duplex cooperative NOMA system," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 85(1), pages 41-66, January.
  • Handle: RePEc:spr:telsys:v:85:y:2024:i:1:d:10.1007_s11235-023-01067-5
    DOI: 10.1007/s11235-023-01067-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-023-01067-5
    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/s11235-023-01067-5?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. Nesrine Zaghdoud & Adel Ben Mnaouer & Hatem Boujemaa & Farid Touati, 2022. "Secrecy performance analysis of half/full duplex AF/DF relaying in NOMA systems over $$\kappa -\mu $$ κ - μ fading channels," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 79(2), pages 213-231, February.
    Full references (including those not matched with items on IDEAS)

    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.

      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:85:y:2024:i:1:d:10.1007_s11235-023-01067-5. 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.