IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/8707844.html
   My bibliography  Save this article

Robust Secure Beamforming for Multiantenna Relay Networks with Multiple Eavesdroppers

Author

Listed:
  • Yuchong Li
  • Lijian Zhang
  • Dong Wei
  • Jun Li

Abstract

Physical layer security has recently emerged as a promising approach to achieve security and communication integration. The built-in security mechanism based on the characteristics of the wireless channel provides a feasible idea for the realization of “one secret at a time.†It has significant potential applications in high-rate data transmission encryption, authentication, integrity protection of service data, and Internet of Things lightweight encryption. This paper investigates the robust secure transmit design problem for amplify-and-forward multiantenna relay networks in the presence of multiple single-antenna eavesdroppers. A robust artificial noise (AN) aided secure beamforming design is proposed by taking into account the imperfect channel state information (CSI) of the eavesdroppers. The goal is to jointly design the beamforming matrix and the AN covariance matrix at the relay based on the imperfect CSI of eavesdroppers, such that the worst-case secrecy rate is maximized subject to the total power and the per-antenna power constraints. Aiming at the nonconvex optimization problem, a two-level optimization algorithm based on semidefinite relaxation (SDR) and S-procedure is proposed. It is proven that there is a rank-one optimal solution for the SDR problem. Simulation results show that the proposed scheme is robust and superior to existing schemes.

Suggested Citation

  • Yuchong Li & Lijian Zhang & Dong Wei & Jun Li, 2023. "Robust Secure Beamforming for Multiantenna Relay Networks with Multiple Eavesdroppers," Mathematical Problems in Engineering, Hindawi, vol. 2023, pages 1-10, September.
  • Handle: RePEc:hin:jnlmpe:8707844
    DOI: 10.1155/2023/8707844
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2023/8707844.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2023/8707844.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2023/8707844?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
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:hin:jnlmpe:8707844. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.