• DocumentCode
    3095255
  • Title

    Noncooperative Distributed MMSE Schemes for AF SIMO Wireless Relay Networks

  • Author

    Lee, Kanghee ; Emami, Tooran ; Ibdah, Yazan ; Bi, Yu ; Argade, Sachin

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Wichita State Univ., Wichita, KS, USA
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    89
  • Lastpage
    94
  • Abstract
    This paper presents a noncooperative distributed amplify-and-forward (AF) single-input multiple-output (SIMO) wireless relay networks under two adverse wireless communication environments: (1) node geometry and a jamming environment, and (2) channel uncertainty and a jamming environment. All relay nodes in wireless relay networks cannot exchange their received signals from source nodes for relay noncooperation. The main contribution of this paper is the derivation of an optimal diagonal amplifying relay matrix in AF SIMO wireless relay system using the minimum mean square error (MMSE) criterion. To evaluate the effects of two adverse wireless communication environments on the AF SIMO relay scheme, simulation results are presented for a system using the derived optimal diagonal amplifying relay matrix with bit error rate (BER). In addition, performance comparisons under no node geometry, no-jamming environment, and no channel uncertainty were also considered.
  • Keywords
    amplify and forward communication; channel allocation; error statistics; jamming; least mean squares methods; matrix algebra; radio networks; AF SIMO wireless relay networks; AF SIMO wireless relay system; BER; MMSE criterion; adverse wireless communication environments; bit error rate; channel uncertainty; minimum mean square error criterion; no-jamming environment; node geometry; noncooperative distributed MMSE schemes; noncooperative distributed amplify-and-forward single-input multiple-output wireless relay networks; optimal diagonal amplifying relay matrix; performance comparisons; relay nodes; relay noncooperation; source nodes; Channel estimation; Covariance matrix; Geometry; Jamming; Relays; Uncertainty; Wireless communication; Amplify-and-forward; broadband noise jamming; channel uncertainty; minimum mean square error; node geometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Communication Systems and Networks (CICSyN), 2011 Third International Conference on
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4577-0975-3
  • Electronic_ISBN
    978-0-7695-4482-3
  • Type

    conf

  • DOI
    10.1109/CICSyN.2011.30
  • Filename
    6005660