• DocumentCode
    1518762
  • Title

    On the SCALE Algorithm for Multiuser Multicarrier Power Spectrum Management

  • Author

    Wang, Tao ; Vandendorpe, Luc

  • Author_Institution
    ICTEAM Inst., Univ. Catholique de Louvain, Louvain-la-Neuve, Belgium
  • Volume
    60
  • Issue
    9
  • fYear
    2012
  • Firstpage
    4992
  • Lastpage
    4998
  • Abstract
    This correspondence studies the successive convex approximation for low complexity (SCALE) algorithm, which was proposed to address the weighted sum rate (WSR) maximized dynamic power spectrum management (DSM) problem for multiuser multicarrier systems. To this end, we first revisit the algorithm, and then present geometric interpretation and properties of the algorithm. A geometric programming (GP) implementation approach is proposed and compared with the low-complexity approach proposed previously. In particular, an analytical method is proposed to set up the default lower-bound constraints added by a GP solver. Finally, numerical experiments are used to illustrate the analysis and compare the two implementation approaches.
  • Keywords
    geometric programming; multiuser detection; radio spectrum management; DSM problem; SCALE algorithm; WSR; dynamic power spectrum management; geometric programming; low-complexity approach; lower-bound constraint; multiuser multicarrier power spectrum management; multiuser multicarrier system; successive convex approximation for low complexity; weighted sum rate; Algorithm design and analysis; Approximation algorithms; Approximation methods; Heuristic algorithms; Receivers; Signal processing algorithms; Transmitters; Cochannel interference mitigation; convex optimization; digital subscriber lines; dynamic spectrum management; geometric programming; orthogonal-frequency-division modulation; power control;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2012.2199986
  • Filename
    6202355