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

    Browse

    All of UA Campus RepositoryCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournal

    My Account

    LoginRegister

    About

    AboutUA Faculty PublicationsUA DissertationsUA Master's ThesesUA Honors ThesesUA PressUA YearbooksUA CatalogsUA Libraries

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Linear Precoding with Friendly Jamming in Overloaded MU-MIMO Wiretap Networks

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    1570534319.pdf
    Size:
    272.0Kb
    Format:
    PDF
    Description:
    Final Accepted Manuscript
    Download
    Author
    Siyari, Peyman
    Krunz, Marwan
    Affiliation
    Univ Arizona, Dept Elect & Comp Engn
    Issue Date
    2019-06
    Keywords
    Multiuser MIMO
    linear precoding
    physical-layer security
    friendly jamming
    
    Metadata
    Show full item record
    Publisher
    IEEE
    Citation
    Siyari, P., & Krunz, M. (2019, June). Linear precoding with friendly jamming in overloaded MU-MIMO wiretap networks. In 2019 IEEE Conference on Communications and Network Security (CNS) (pp. 1-5). IEEE.
    Journal
    IEEE Conference on Communications and Network Security
    Rights
    © 2019 IEEE.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    We consider the downlink of a multiuser MIMO (MU-MIMO) network in the presence of an external eavesdropper (Eve). No knowledge of Eve’s location is assumed at the access point (Alice). The information signals for downlink users (Bobs) are accompanied by bogus signals (a.k.a. friendly jamming) that are generated from Alice. The network is studied in underloaded and overloaded conditions. In an underloaded (overloaded) network, the number of antennas at Alice is larger (smaller) than the total number of Bobs’ antennas. In the overloaded setting, traditional methods of creating friendly jamming (FJ), such as zero-forcing-based methods, are infeasible. We propose a linear precoding scheme that relaxes such infeasibility in overloaded MU-MIMO networks. In the worst-case scenario where Eve has knowledge of the channels between Alice and Bobs, we show that our method imposes the most stringent condition on the number of antennas required at Eve to cancel out FJ signals. We verify our analysis with simulations. It turns out that choosing the number of data streams has an important role in achieving a tradeoff between security, reliability, and the achievable rate.
    ISSN
    2474-025X
    DOI
    10.1109/cns.2019.8802693
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.1109/cns.2019.8802693
    Scopus Count
    Collections
    UA Faculty Publications

    entitlement

     
    The University of Arizona Libraries | 1510 E. University Blvd. | Tucson, AZ 85721-0055
    Tel 520-621-6442 | repository@u.library.arizona.edu
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service operated 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.

    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.