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.
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;
Conference_Titel :
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location :
Damascus
Print_ISBN :
0-7803-9521-2
DOI :
10.1109/ICTTA.2006.1684805