IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v10y2018i9p87-d168271.html
   My bibliography  Save this article

Log Likelihood Ratio Based Relay Selection Scheme for Amplify and Forward Relaying with Three State Markov Channel

Author

Listed:
  • Manish Sahajwani

    (Department of Electrical and Electronics, IES IPS Academy, 452012 Indore (M.P.), India)

  • Alok Jain

    (Department of Electronics and Instrumentation in SATI, 464001 Vidisha (M.P.), India)

  • Radheyshyam Gamad

    (Department of Electronics and Instrumentation SGSITS, 452003 Indore (M.P.), India)

Abstract

This paper presents log likelihood ratio (LLR) based relay selection scheme for a cooperative amplify and forward relaying system. To evaluate the performance of the aforementioned system model, a three state Markov chain based fading environment has been presented to toggle among Rayleigh, Rician, and Nakagami-m fading environment. A simulation is carried out while assuming that there is no possibility of direct transmission from the source and destination terminal. Simulation results on the basis of Bit Error Rate (BER), Instantaneous Channel Capacity, and Outage probability have been presented and compared for different cases. In each case, the best performance of the proposed algorithm is obtained with a Binary Phase Shift Keying (BPSK) modulation scheme.

Suggested Citation

  • Manish Sahajwani & Alok Jain & Radheyshyam Gamad, 2018. "Log Likelihood Ratio Based Relay Selection Scheme for Amplify and Forward Relaying with Three State Markov Channel," Future Internet, MDPI, vol. 10(9), pages 1-12, September.
  • Handle: RePEc:gam:jftint:v:10:y:2018:i:9:p:87-:d:168271
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/10/9/87/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1999-5903/10/9/87/
    Download Restriction: no
    ---><---

    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:gam:jftint:v:10:y:2018:i:9:p:87-:d:168271. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.