• DocumentCode
    754552
  • Title

    Multiobjective Distributed Power Control Algorithm for CDMA Wireless Communication Systems

  • Author

    Elmusrati, Mohammed ; Jäntti, Riku ; Koivo, Heikki N.

  • Author_Institution
    Dept. of Electr. & Eng., Garyounis Univ., Benghazi
  • Volume
    56
  • Issue
    2
  • fYear
    2007
  • fDate
    3/1/2007 12:00:00 AM
  • Firstpage
    779
  • Lastpage
    788
  • Abstract
    Although power control has been explored since the early 1990s, there still remains the need for further research. Most of the algorithms so far consider either the problem of minimizing the sum of transmitted power under quality of service (QoS) constraints given in terms of minimum signal-to-interference-plus-noise ratio (SINR) in a static channel or the problem of mitigating fast fading in a single dynamic link. In this paper, we suggest a new approach to the power control by treating the QoS requirement as another objective for the power control and a fully distributed method for solving the multiobjective power optimization problem. The obtained solution is parameterized so that a tradeoff can be made between power consumption and QoS. In the limit case, when only QoS is weighted, the algorithm reduces to the well-known distributed power control algorithm (IEEE Trans. Commun., vol. 42, no. 2/3/4, pt. 1, Feb./Mar./Apr. 1994). In the other limit, the algorithm reduces to transmission with fixed minimum power. The convergence properties of the proposed algorithm are studied both theoretically and with numerical simulations. Although we only consider SINR and power sum, our algorithm could be easily modified to take other objectives, such as throughput, into account
  • Keywords
    code division multiple access; distributed control; fading channels; power control; quality of service; radio links; telecommunication control; CDMA; QoS; SINR; fast fading channel; minimum signal-to-interference-plus-noise ratio; multiobjective distributed power control algorithm; multiobjective power optimization problem; quality of service; single dynamic link; static channel; wireless communication systems; Convergence of numerical methods; Energy consumption; Fading; Multiaccess communication; Numerical simulation; Optimization methods; Power control; Quality of service; Signal to noise ratio; Wireless communication; CDMA; multi-objective optimization; power control; radio resource management;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2006.889565
  • Filename
    4138021