IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v9y2013i12p475761.html
   My bibliography  Save this article

SDMA-Based Aeronautical Machine-to-Machine Communications under SINR Constraints

Author

Listed:
  • Jindong Xie
  • Lin Bai
  • Jun Zhang
  • Tao Zhang

Abstract

In order to achieve an efficient usage on a limited spectrum for aeronautical machine-to-machine (M2M) communications, in this paper, a space division multiple access- (SDMA-) based architecture is proposed, where the random access of short messages noisy (SMN) M2M communications is considered between autopilot systems onboard and the ground control center for the air traffic precise control, that is, full 4-dimensional trajectory management. It shows that using a zero-forcing beamforming combined with a low complexity aircraft grouping strategy, the SDMA-based mechanism is able to improve the spectrum efficiency under signal to interference plus noise ratio (SINR) constraints.

Suggested Citation

  • Jindong Xie & Lin Bai & Jun Zhang & Tao Zhang, 2013. "SDMA-Based Aeronautical Machine-to-Machine Communications under SINR Constraints," International Journal of Distributed Sensor Networks, , vol. 9(12), pages 475761-4757, December.
    • Handle: RePEc:sae:intdis:v:9:y:2013:i:12:p:475761
    DOI: 10.1155/2013/475761
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2013/475761
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2013/475761?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:sae:intdis:v:9:y:2013:i:12:p:475761. 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.