IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v14y2018i8p1550147718786929.html
   My bibliography  Save this article

Distributed beamforming algorithm based on game theory in device-to-device communications

Author

Listed:
  • Xian-zhong Xie
  • Chuan-wen Li
  • Shuang-guo Cheng
  • He-lin Yang
  • Shu Tang

Abstract

In the device-to-device communication network, there is the interference problem when device-to-device users share the same spectrum with cellular users, a distributed beamforming scheme based on non-cooperative game is proposed to maximize weighted sum rate under the rated transmit power and the users’ quality of service. Since the optimization problem is non-concave, we first obtain the solution of the Karush-Kuhn-Tucher (KKT) condition for the downlink beamforming problem of each sender by dual decomposition. Second, a distributed beamforming algorithm based on the non-cooperative game is proposed, which can quickly converge to the Nash equilibrium point with a lower information exchange overhead. Finally, the simulation results show that the proposed algorithm has better performance in terms of system sum rate and fairness than the existing algorithms.

Suggested Citation

  • Xian-zhong Xie & Chuan-wen Li & Shuang-guo Cheng & He-lin Yang & Shu Tang, 2018. "Distributed beamforming algorithm based on game theory in device-to-device communications," International Journal of Distributed Sensor Networks, , vol. 14(8), pages 15501477187, August.
    • Handle: RePEc:sae:intdis:v:14:y:2018:i:8:p:1550147718786929
    DOI: 10.1177/1550147718786929
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147718786929
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1550147718786929?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
    ---><---

    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:8:p:1550147718786929. 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: 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.