IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v64y2017i3d10.1007_s11235-016-0192-0.html
   My bibliography  Save this article

Channel capacity and outage probability analysis of multiuser diversity MIMO MRC systems with antenna selection in the presence of delayed feedback

Author

Listed:
  • Sudakar Singh Chauhan

    (NIT Kurukshetra)

  • Sanjay Kumar

    (Birla Institute of Technology, Mesra)

Abstract

In this paper, we presents an analytical link capacity and outage performance analysis of downlink multiuser diversity (MUD) in multiple-input multiple-output (MIMO) system employing maximal-ratio combining (MRC) with transmit antenna selection (TAS) in the presence of imperfect channel state information (CSI) due to feedback delay over Rayleigh fading channels. The unified achievable analysis is appropriate for MUD–MIMO with TAS/MRC systems in which effective output signal-to-noise ratio (SNR) is specified as highest order statistic of chi-square distribution. Based on this framework, the closed-form channel capacity and outage probability expressions are examined for the MUD–MIMO exploiting TAS/MRC with normalized SNR based scheduling in heterogeneous wireless networks. Further, we derive approximate upper bound capacity as well as capacity at high SNR and low SNR region under delayed feedback CSI. The upper and lower bound of outage probability under delayed feedback CSI is also evaluated. Thereafter the impact of feedback delay and antenna structures with significance on the consideration of MUD on the performance of the system has been analyzed.

Suggested Citation

  • Sudakar Singh Chauhan & Sanjay Kumar, 2017. "Channel capacity and outage probability analysis of multiuser diversity MIMO MRC systems with antenna selection in the presence of delayed feedback," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 64(3), pages 559-567, March.
  • Handle: RePEc:spr:telsys:v:64:y:2017:i:3:d:10.1007_s11235-016-0192-0
    DOI: 10.1007/s11235-016-0192-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-016-0192-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11235-016-0192-0?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:spr:telsys:v:64:y:2017:i:3:d:10.1007_s11235-016-0192-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.