• DocumentCode
    2450980
  • Title

    Prediction-Based Minimum Rate Maximization Link Adaptation Strategy Revisited

  • Author

    Alsawah, A. ; Fijalkow, I. ; Johnson, C.R.

  • Author_Institution
    ETIS Lab., Cergy Pontoise Univ.
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    2530
  • Lastpage
    2531
  • Abstract
    Minimum rate maximization (MRM) is a link adaptation strategy for CDMA-based systems such as UMTS. It offers to all users on the uplink a minimum QoS, in terms of a target signal-to-interference-plus-noise ratio (SINR), regardless of their respective fadings. This is achieved by appropriate power and rate allocation that maximizes the minimum user information rate. Auto-regressive channel prediction was proposed to improve MRM robustness to imperfect channel knowledge. The prediction yields better average minimum SINR. However, this enhancement is limited by the channel estimation errors. This paper proposes a new channel gain estimator and shows that the prediction error variance is minimized for a given AR order
  • Keywords
    autoregressive processes; channel estimation; optimisation; prediction theory; telecommunication links; CDMA-based systems; QoS; autoregressive channel prediction; channel estimation errors; channel gain estimator; channel knowledge; minimum user information rate; power allocation; prediction error variance; prediction-based minimum rate maximization link adaptation; rate allocation; signal-to-interference-plus-noise ratio; 3G mobile communication; Base stations; Channel estimation; Computer errors; Estimation error; Fading; Information rates; Multipath channels; Robustness; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies, 2006. ICTTA '06. 2nd
  • Conference_Location
    Damascus
  • Print_ISBN
    0-7803-9521-2
  • Type

    conf

  • DOI
    10.1109/ICTTA.2006.1684805
  • Filename
    1684805