• DocumentCode
    1218745
  • Title

    Weighted Cross-Layer Cooperative Beamforming for Wireless Networks

  • Author

    Dong, Lun ; Petropulu, Athina P. ; Poor, H. Vincent

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
  • Volume
    57
  • Issue
    8
  • fYear
    2009
  • Firstpage
    3240
  • Lastpage
    3252
  • Abstract
    In wireless networks, implementing cooperative beamforming (CB) can enable long-range communications in an energy efficient manner. By appropriately weighting and forwarding message signals, the cooperating nodes form one or more beams to cooperatively transmit one or more message signals to the desired destinations. In this paper, a cross-layer CB framework recently proposed by the authors is revisited and optimal weight design is considered. For single-beam beamforming, closed-form optimal weights that maximize the received signal-to-noise ratio (SNR) or signal-to-interference-plus-noise ratio (SINR) under a transmit power constraint are derived. It is shown that these weights also achieve maximal spectral efficiency. For multibeam beamforming, determining the weights that maximize spectral efficiency is in general a difficult problem, and two suboptimal weight designs (co-phasing weights and nulling weights) are proposed. Co-phasing weights allow desired signals to combine coherently at destinations and require local channel state information (CSI); nulling weights completely cancel interference at destinations and require global CSI.
  • Keywords
    array signal processing; radio networks; channel state information; closed-form optimal weights; long-range communications; maximal spectral efficiency; message signals; multibeam beamforming; signal-to-interference-plus-noise ratio; signal-to-noise ratio; single-beam beamforming; transmit power constraint; weighted cross-layer cooperative beamforming; wireless networks; Cooperation; cooperative beamforming; cross-layer design; spectral efficiency;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2009.2020048
  • Filename
    4808246