• DocumentCode
    3471477
  • Title

    Near-far robustness and optimal power allocation for two-way relaying with MIMO amplify and forward relays

  • Author

    Roemer, Florian ; Haardt, Martin

  • Author_Institution
    Commun. Res. Lab., Ilmenau Univ. of Technol., Ilmenau, Germany
  • fYear
    2009
  • fDate
    13-16 Dec. 2009
  • Firstpage
    281
  • Lastpage
    284
  • Abstract
    In this paper we consider two-way relaying with a MIMO amplify and forward (AF) relay. Assuming single stream transmission and perfect channel state information (CSI) we are able to analytically express the signal to noise ratios (SNR) at the user terminals. These SNR expressions are first used to study the near-far robustness by analyzing their asymptotic behavior when the signal from one of the users is significantly stronger than the signal received from the other terminal. Subsequently we demonstrate how to achieve individual SNR targets for both terminals via a combined strategy of user power control and the algebraic norm-maximizing (ANOMAX) transmit strategy at the relay. We also derive a simple necessary and sufficient condition to guarantee that the region of achievable SNR targets is convex. At the end of the paper we demonstrate via numerical computer simulations that the weighting parameter in ANOMAX can be used to reduce the required transmit power for given SNR targets.
  • Keywords
    MIMO communication; algebra; power control; telecommunication congestion control; MIMO amplify and forward relay; algebraic norm-maximizing transmit strategy; channel state information; numerical computer simulations; optimal power allocation; signal to noise ratios; two-way relaying; user power control; Channel state information; Computer simulation; Information analysis; MIMO; Noise robustness; Power control; Relays; Signal analysis; Signal to noise ratio; Sufficient conditions; Two-Way Relaying; achievable SNR regions; near-far-robustness; power control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2009 3rd IEEE International Workshop on
  • Conference_Location
    Aruba, Dutch Antilles
  • Print_ISBN
    978-1-4244-5179-1
  • Electronic_ISBN
    978-1-4244-5180-7
  • Type

    conf

  • DOI
    10.1109/CAMSAP.2009.5413278
  • Filename
    5413278