IRS Reflection Pattern Prediction Considering Receiver's Movement Speed

Abstract

The use of the intelligent reflecting surface (IRS) is being considered for wireless communications in the high-frequency band. For the prediction of IRS reflection patterns, a method that accounts for receiver movement by treating the partially observed channel estimates as a time series from the current time to a certain period of time in the past has been studied. However, the method does not take into account the movement speed of the receiver, which degrades the prediction performance when a variety of speeds exist. Therefore, in this study, a prediction method that uses channel amplitude differences as an indicator to detect the movement speed is proposed. Numerical experiments show the improvement in the prediction performance of the proposed method.