Channel Prediction Assisted By Radio Propagation Environments Information

To solve the problem of channel prediction capability which is limited by channel coherent time, this paper investigates the relationship between the radio propagation environment and the channel state information (CSI). A new parametric predictor assisted by the knowledge of radio propagation environment information is introduced. If the parameters of propagation environment have been known in advance, the variation of CSI can be predicted for a much longer time. Using outdoor measurement data, the performance of the new paramedic predictor is compared with that of the Auto Regression (AR) predictor. The results indicate that the prediction range of the new method is better than that of the AR method.