IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v14y2018i9p1550147718802254.html
   My bibliography  Save this article

Secure downlink transmission with finite resolution analog beamforming in massive multiple-input multiple-output system

Author

Listed:
  • Xianyu Zhang
  • Daoxing Guo
  • Kongzhe Yang
  • Silin Xie

Abstract

To reduce the number of radio-frequency chains of base station, the use of finite resolution analog beamforming is desirbale in massive multiple-input multiple-output system. This article investigates the secure downlink massive multiple-input multiple-output data transmission with artificial noise at base station in the presence of a multi-antenna passive eavesdropper. The achievable user’s ergodic information rate and ergodic capacity of the eavesdropper are analyzed in detail, respectively. With maximum ratio transmission or maximum ratio combining, we derive closed-form expressions for a tight lower bound on ergodic secrecy rate and tight upper bound for secrecy outage probability. Based on these analytical expressions, the effects of various system parameters on secrecy performance, such as power allocation factor, number of eavesdropper’s antennas, number of the user terminals, total transmission power, and finite resolution analog beamforming parameters, are investigated in detail. Also, the optimal power allocation scheme between data and artificial noise signals is achieved in closed form to maximize the ergodic secrecy rate. In addition, we derive the conditions that the secure massive multiple-input multiple-output system need to meet to obtain a positive secrecy rate. Finally, numerical simulation results validate the system’s secrecy performance and verify all the theoretical analytical results.

Suggested Citation

  • Xianyu Zhang & Daoxing Guo & Kongzhe Yang & Silin Xie, 2018. "Secure downlink transmission with finite resolution analog beamforming in massive multiple-input multiple-output system," International Journal of Distributed Sensor Networks, , vol. 14(9), pages 15501477188, September.
    • Handle: RePEc:sae:intdis:v:14:y:2018:i:9:p:1550147718802254
    DOI: 10.1177/1550147718802254
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147718802254
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1550147718802254?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
    ---><---

    References listed on IDEAS

    as
    1. Xianyu Zhang & Daoxing Guo & Kefeng Guo & Hehao Niu, 2018. "Secure performance analysis and detection of pilot attack in massive multiple-input multiple-output system," International Journal of Distributed Sensor Networks, , vol. 14(5), pages 15501477187, May.
    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:sae:intdis:v:14:y:2018:i:9:p:1550147718802254. 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: SAGE Publications (email available below). General contact details of provider: .

      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.