IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/694254.html
   My bibliography  Save this article

Optimal Energy-Efficient Sensing and Power Allocation in Cognitive Radio Networks

Author

Listed:
  • Xia Wu
  • Jin-Ling Xu
  • Ming Chen
  • Junbo Wang

Abstract

We consider a joint optimization of sensing parameter and power allocation for an energy-efficient cognitive radio network (CRN) in which the primary user (PU) is protected. The optimization problem to maximize the energy efficiency of CRN is formulated as a function of two variables, which are sensing time and transmit power, subject to the average interference power to the PU and the target detection probability. During the optimizing process, the quality of service parameter (the minimum rate acceptable to secondary users (SUs)) has also been taken into consideration. The optimal solutions are analyzed and an algorithm combined with fractional programming that maximizes the energy efficiency for CRN is presented. Numerical results show that the performance improvement is achieved by the joint optimization of sensing time and power allocation.

Suggested Citation

  • Xia Wu & Jin-Ling Xu & Ming Chen & Junbo Wang, 2014. "Optimal Energy-Efficient Sensing and Power Allocation in Cognitive Radio Networks," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-7, August.
  • Handle: RePEc:hin:jnlmpe:694254
    DOI: 10.1155/2014/694254
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2014/694254.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2014/694254.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2014/694254?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:hin:jnlmpe:694254. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.