• Login
    View Item 
    •   Home
    • Research
    • Conference Papers
    • View Item
    •   Home
    • Research
    • Conference Papers
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguideTheses and Dissertations LibguideSubmit an Item

    Statistics

    Display statistics

    Energy-Efficient Power Allocation for UAV Cognitive Radio Systems

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    14-CR_EE_UAV_Relay_VTC'17.pdf
    Size:
    268.7Kb
    Format:
    PDF
    Description:
    Accepted Manuscript
    Download
    Type
    Conference Paper
    Authors
    Sboui, Lokman cc
    Ghazzai, Hakim cc
    Rezki, Zouheir cc
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2018-02-12
    Online Publication Date
    2018-02-12
    Print Publication Date
    2017-09
    Permanent link to this record
    http://hdl.handle.net/10754/627307
    
    Metadata
    Show full item record
    Abstract
    We study the deployment of unmanned aerial vehicles (UAV) based cognitive system in an area covered by the primary network (PN). An UAV shares the spectrum of the PN and aims to maximize its energy efficiency (EE) by optimizing the transmit power. We focus on the case where the UAV simultaneously communicates with the ground receiver (G), under interference limitation, and with another relaying UAV (A), with a minimal required rate. We analytically develop the power allocation framework that maximizes the EE subject to power budget, interference, and minimal rate constraints. In the numerical results, we show that the minimal rate may cause a transmission outage at low power budget values. We also highlighted the existence of optimal altitudes given the UAV location with respect to the different other terminals.
    Citation
    Sboui L, Ghazzai H, Rezki Z, Alouini M-S (2017) Energy-Efficient Power Allocation for UAV Cognitive Radio Systems. 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall). Available: http://dx.doi.org/10.1109/vtcfall.2017.8287971.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)
    DOI
    10.1109/vtcfall.2017.8287971
    Additional Links
    http://ieeexplore.ieee.org/document/8287971/
    ae974a485f413a2113503eed53cd6c53
    10.1109/vtcfall.2017.8287971
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

    entitlement

     
    DSpace software copyright © 2002-2022  DuraSpace
    Quick Guide | Contact Us | KAUST University Library
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.