IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v11y2015i9p892151.html
   My bibliography  Save this article

Energy Efficient Doppler Assisted Channel Estimation for Highly Mobile OFDM Systems

Author

Listed:
  • Mateen Ashraf
  • Adnan Shahid
  • Woon-Young Yeo
  • Kyung-Geun Lee

Abstract

The complexity of channel estimation algorithms is of critical importance in high mobility orthogonal frequency division multiplexing (OFDM) systems. To reduce the complexity of the algorithm, the existing channel estimation algorithms take advantage of the correlations between the channel coefficients. However, they do not take into account the variations of the correlations with the delay tap. In this paper, we consider the change in correlation between channel coefficients for different delay taps. By considering these variations, the number of computations needed for channel estimation can be decreased. This results in a reduction in the circuit energy. The simulation results show that the proposed scheme consumes less total energy per bit for transmission distances less than about 170 m when the mobile speed is 324 Kmph.

Suggested Citation

  • Mateen Ashraf & Adnan Shahid & Woon-Young Yeo & Kyung-Geun Lee, 2015. "Energy Efficient Doppler Assisted Channel Estimation for Highly Mobile OFDM Systems," International Journal of Distributed Sensor Networks, , vol. 11(9), pages 892151-8921, September.
  • Handle: RePEc:sae:intdis:v:11:y:2015:i:9:p:892151
    DOI: 10.1155/2015/892151
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2015/892151
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2015/892151?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:11:y:2015:i:9:p:892151. 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.