• DocumentCode
    3328638
  • Title

    Mimo Relaying for Multi-Point to Multi-Point Communication in Wireless Networks

  • Author

    Chalise, Batu K. ; Vandendorpe, L. ; Louveaux, J.

  • Author_Institution
    Commun. & Remote Sensing Lab., Univ. catholique de Louvain, Louvain-la-Neuve
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    217
  • Lastpage
    220
  • Abstract
    In this paper, we propose a relaying scheme that uses a fixed multiple-input-multiple-output (MIMO) relay to improve the performance of the multi-point to multi-point communication in wireless networks. Under the assumption that the perfect channel state information (CSI) is known, we propose the MIMO relay which minimizes its total transmit power by satisfying the signal-to-interference-and-noise-ratio (SINR) requirement for all destinations. This paper shows that the aforementioned problem is non-convex but it can be relaxed to a convex problem using the semidefinite relaxation technique. Computer simulations show that the proposed MIMO relay outperforms the conventional all-pass MIMO relay.
  • Keywords
    MIMO communication; concave programming; convex programming; radio networks; wireless channels; MIMO relaying scheme; SINR requirement; channel state information; convex problem; multiple-input-multiple-output relay; multipoint communication; nonconvex problem; semidefinite relaxation technique; signal-to-interference-and-noise-ratio; total transmit power minimization; wireless networks; Downlink; Intelligent networks; Laboratories; MIMO; Receiving antennas; Relays; Remote sensing; Signal processing; Signal to noise ratio; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Multi-Sensor Adaptive Processing, 2007. CAMPSAP 2007. 2nd IEEE International Workshop on
  • Conference_Location
    St. Thomas, VI
  • Print_ISBN
    978-1-4244-1713-1
  • Electronic_ISBN
    978-1-4244-1714-8
  • Type

    conf

  • DOI
    10.1109/CAMSAP.2007.4498004
  • Filename
    4498004