• DocumentCode
    698098
  • Title

    Maximum SINR-based beamforming for the MISO interference channel

  • Author

    Lebrun, Y. ; Nsenga, J. ; Ramon, V. ; Bourdoux, A. ; Horlin, F. ; Lauwereins, R.

  • Author_Institution
    Katholieke Univ. Leuven, Leuven, Belgium
  • fYear
    2009
  • fDate
    24-28 Aug. 2009
  • Firstpage
    779
  • Lastpage
    783
  • Abstract
    Multi-antenna wireless mesh networks are a promising means to achieve high data rate in next generation of wireless networks. However, because co-channel interference (CCI) is a major source of performance degradation in such networks, cooperative techniques have been proposed to cope with CCI. Nevertheless, these techniques require the exchange of information between the transmit nodes (e.g. channel knowledge acquisition, synchronization, etc...) and are thus very complex to implement. Conversely, non-cooperative techniques have limited complexity and are therefore an interesting alternative. Two non-cooperative methods have been proposed in the literature: the zero-forcing and the maximal signal-to-noise ratio beamformers. However, those two schemes do not maximize the aggregate capacity of the network nor minimize the bit error rate (BER) of each communication channel. In this paper, we consider a different optimization metric based on maximizing the SINR at the transmitters. We show that the proposed scheme achieves maximal capacity and outperforms the two existing non-cooperative schemes in terms of BER.
  • Keywords
    array signal processing; cochannel interference; error statistics; radio transmitters; BER; MISO interference channel; bit error rate; cochannel interference; maximum SINR-based beamforming; noncooperative technique; radio transmitter; signal-to-noise ratio beamformer; Array signal processing; Bit error rate; Interference; Receivers; Signal to noise ratio; Transmitters; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2009 17th European
  • Conference_Location
    Glasgow
  • Print_ISBN
    978-161-7388-76-7
  • Type

    conf

  • Filename
    7077672