• DocumentCode
    1221609
  • Title

    Optimal weights computation of an emitting antenna array - the Obele algorithm

  • Author

    Bertrand, Joël ; Forster, Philippe

  • Author_Institution
    Lab. Electronique et Commun., Conservatoire Nat. des Arts et Metiers, Paris, France
  • Volume
    51
  • Issue
    7
  • fYear
    2003
  • fDate
    7/1/2003 12:00:00 AM
  • Firstpage
    1716
  • Lastpage
    1721
  • Abstract
    The capacity of a mobile network can be increased by using antenna arrays. We present a new method that jointly optimizes antenna weights and powers for all users on the downlink on a single cell. The algorithm, which only requires the estimation of the noise power σ2 and knowledge of the channel responses on the downlink, consists of minimizing the greatest eigenvalue of a matrix. This optimization results from an iterative process. In a first pass, we compute the greatest eigenvalue of a matrix - the power is given by the associated eigenvector - which depends on the antenna weights, and in a second pass, we compute a new set of antenna weights that will be reused in the next iteration. We prove that it converges to the global minimum.
  • Keywords
    array signal processing; cellular radio; convergence of numerical methods; eigenvalues and eigenfunctions; matrix algebra; optimisation; radio links; radio networks; Obele algorithm; antenna array; antenna power optimization; antenna weights optimization; cellular radio network; channel responses; convergence; downlink; eigenvector; global minimum; iterative process; matrix eigenvalue; mobile network capacity; noise power estimation; optimal weights computation; power control; Antenna arrays; Base stations; Covariance matrix; Downlink; Eigenvalues and eigenfunctions; Interference; Mobile antennas; Optimization methods; Pulse modulation; Receiving antennas;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2003.813582
  • Filename
    1206681