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为了解决在未来无线通信系统中对信道状态信息(CSI)的准确预测问题,分析了CSI与静态环境参数的关系,提出一种基于环境辅助静态参数的参数化信道预测方法。在已知静态环境参数和移动台运动状态时,该方法能准确地对CSI变化进行预测。在窄带平坦衰落信道模型中,利用实际测量数据,该方法与自回归(AR)预测方法作了对比和验证,预测长度不受1/2波长的限制,需要的导频数量由环境中的主要静态散射物数量决定,与Doppler频率无关。
In order to solve the problem of accurate prediction of channel state information (CSI) in wireless communication systems in the future, the relationship between CSI and static environment parameters is analyzed and a parameterized channel prediction method based on environment-assisted static parameters is proposed. This method accurately predicts the CSI change when the static environmental parameters and mobile station’s motion state are known. In the narrow-band flat fading channel model, this method is compared with autoregressive (AR) prediction using the actual measured data. The predicted length is not limited by the ½ wavelength, and the number of pilots required by the environment is mainly The number of static scatterers is independent of Doppler frequency.