• DocumentCode
    2099720
  • Title

    Joint power control and beamforming for capacity improvement in wireless networks with antenna arrays

  • Author

    Rashid-Farrokhi, F. ; Tassiulas, L. ; Liu, K.J.R.

  • Author_Institution
    Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA
  • Volume
    1
  • fYear
    1996
  • fDate
    18-22 Nov 1996
  • Firstpage
    555
  • Abstract
    The interference reduction capability of antenna arrays and the power control algorithms have been considered separately as means to increase the capacity in wireless communication networks. The minimum variance beamformer maximizes the carrier to interference ratio (CIR) when it is employed in the receiver of a wireless link. In a system with omnidirectional antennas, power control algorithms are used to maximize the CIR as well. We consider a system with power control capabilities which uses antenna arrays at the receivers. An iterative algorithm is proposed to jointly update the transmission powers and the beamformer weights so that it converge to the jointly optimal beamforming and transmission power vector. The algorithm is distributed and uses only local interference measurements. In an uplink transmission scenario it is shown how base assignment can be incorporated in addition to beamforming and power control such that a globally optimum solution is obtained. The network capacity increase and the saving in mobile power achieved by beamforming are evaluated through a numerical study
  • Keywords
    adaptive antenna arrays; array signal processing; channel capacity; cochannel interference; convergence of numerical methods; direction-of-arrival estimation; distributed algorithms; iterative methods; land mobile radio; power control; radio links; radio networks; radio receivers; radio transmitters; radiofrequency interference; receiving antennas; telecommunication control; CIR; antenna arrays; beamformer weights; carrier to interference ratio; cochannel interference; distributed algorithm; interference reduction; iterative algorithm; local interference measurements; minimum variance beamformer; mobile power saving; network capacity; omnidirectional antennas; optimal beamforming; power control; power control algorithms; receivers; transmission power vector; uplink transmission; wireless link; wireless networks; Antenna arrays; Array signal processing; Base stations; Intelligent networks; Interference; Iterative algorithms; Power control; Signal to noise ratio; Transmitters; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 1996. GLOBECOM '96. 'Communications: The Key to Global Prosperity
  • Conference_Location
    London
  • Print_ISBN
    0-7803-3336-5
  • Type

    conf

  • DOI
    10.1109/GLOCOM.1996.594424
  • Filename
    594424