• DocumentCode
    2782622
  • Title

    AF MIMO Wireless Relay Networks under Received Power Constraint

  • Author

    Lee, Kanghee ; Kwon, Hyuck M. ; Kim, Hyunggi ; Sawan, Edwin M. ; Park, Hyuncheol ; Lee, Y.H.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Wichita State Univ., Wichita, KS, USA
  • fYear
    2012
  • fDate
    3-6 Sept. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper considers an amplify-and-forward (AF) relay scheme for M-source-M-destination pairs and N relay nodes. Cooperative minimum mean square error (MMSE) strategies for wireless relay networks under both a jamming environment and channel uncertainty with received power constraints at the destination nodes are studied. The main contribution of this paper is the derivation of the MMSE-based amplifying relay matrices (ARMs) under both a jamming environment and channel uncertainty. With the proposed ARMs, the system performance under study is evaluated by observing bit error rate (BER) using Monte Carlo simulations. In addition, it is proven that the proposed ARM is the global optimal ARM.
  • Keywords
    MIMO communication; Monte Carlo methods; amplify and forward communication; cooperative communication; error statistics; least mean squares methods; AF MIMO wireless relay networks; BER; M-source-M-destination pairs; MMSE-based amplifying relay matrices; Monte Carlo simulations; amplify-and-forward relay scheme; bit error rate; channel uncertainty; cooperative minimum mean square error strategies; destination nodes; global optimal ARM; jamming environment; power constraint; relay nodes; Bit error rate; Cost function; Jamming; MIMO; Relays; Uncertainty; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2012 IEEE
  • Conference_Location
    Quebec City, QC
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4673-1880-8
  • Electronic_ISBN
    1090-3038
  • Type

    conf

  • DOI
    10.1109/VTCFall.2012.6399033
  • Filename
    6399033