Parametric Algorithm for Predicting the Channel Characteristics for High-Mobility Users in the LTE Communication System

We consider the problem of predicting the channel characteristics for the high-mobility users of the LTE communication system. An algorithm is proposed for predicting the channel coefficients on the basis of a parameterized autoregressive model whose parameters should be estimated using the superresolution methods of spectral analysis. Using numerical simulation and the system-level simulator, we estimate the efficiency of the proposed algorithm and compare it with the prediction algorithm on the basis of the autocorrelation approach and the Whittaker–Shannon interpolation formula. It is shown that the proposed algorithm allows one to achieve high accuracy of predicting the characteristics of the communication channel of the high-mobility users, which is comparable with the accuracy of estimating these characteristics for the users moving with low velocities.