Parametrized autoregressive channel prediction algorithm for moving LTE users

V. Kuptsov, O. Shmonin, S. Trushkov, A. Mikhailova
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Abstract

This paper considers the problem of channel prediction for LTE system highly mobile users. A prediction algorithm based on parameterized autoregressive model which parameters are estimated using superresolution techniques of spectral analysis is proposed. Via numerical simulation with usage of system level simulation platform efficiency of proposed algorithm is performed. It is shown that proposed algorithm allows high accuracy of channel prediction for highly mobile users to be achieved.
移动LTE用户的参数化自回归信道预测算法
研究了LTE系统中高度移动用户的信道预测问题。提出了一种基于参数化自回归模型的预测算法,该模型利用超分辨率光谱分析技术估计参数。通过系统级仿真平台的数值仿真,验证了算法的有效性。结果表明,该算法对高移动用户具有较高的信道预测精度。
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