Abstract
CQI(Channel Quality Indicator) is an essential indicator for AMC(Adaptive Modulation and Coding) technique in LTE. Due to the long delay of GEO satellite channel, CQI prediction is necessary to ensure effective AMC in LTE-compatible GEO mobile satellite communications system. The complete procedure and problem encountered when doing AMC in satellite system are introduced and the difficulties of prediction are analyzed. In order to obtain meaningful and feasible CQI prediction results, a complete prediction scheme is proposed. By using approximate CQI data which is smoothed and with only shadow fading influence, various prediction models are compared. Taking both computation complexity and prediction performance into account, two models, ARIMA (Autoregressive Integrated Moving Average) and Kalman filter are chosen to be applied in this scheme. Simulation results show that the prediction performance is very well with the proposed method, which can surely guarantee AMC performance.
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