IDEAS home Printed from https://ideas.repec.org/a/igg/jitn00/v11y2019i3p34-48.html
   My bibliography  Save this article

A Switching-Based and Delay-Aware Scheduling Algorithm for Cognitive Radio Networks

Author

Listed:
  • Omar Sweileh

    (American University of Sharjah, Sharjah, UAE)

  • Mohamed S. Hassan

    (American University of Sharjah, Sharjah, UAE)

  • Hasan S. Mir

    (Department of Electrical Engineering, American University of Sharjah, Sharjah, UAE)

  • Mahmoud H. Ismail

    (American University of Sharjah, Sharjah, UAE & Department of Electronics and Communications, Faculty of Engineering, Cairo University, Giza, Egypt)

Abstract

In this article, an opportunistic inter-frame spectrum scheduler that maximizes the throughput of cognitive radio networks over a span of multiple time-slots is proposed. An optimization problem is formulated to find the optimum inter-frame scheduler while taking into account the switching delay, the primary user (PU) activity, historical information on the PU behavior, the channel quality as well as the secondary user (SU) status. Simulation results show that the proposed inter-frame scheduler significantly improved the overall aggregate throughput and average switching delay of the cognitive radio network when compared to the values obtained when scheduling is done on a slot-by-slot basis.

Suggested Citation

  • Omar Sweileh & Mohamed S. Hassan & Hasan S. Mir & Mahmoud H. Ismail, 2019. "A Switching-Based and Delay-Aware Scheduling Algorithm for Cognitive Radio Networks," International Journal of Interdisciplinary Telecommunications and Networking (IJITN), IGI Global, vol. 11(3), pages 34-48, July.
    • Handle: RePEc:igg:jitn00:v:11:y:2019:i:3:p:34-48
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJITN.2019070104
    Download Restriction: no
    ---><---

    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:igg:jitn00:v:11:y:2019:i:3:p:34-48. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.