高速移动通信系统信噪比预测方法

SNR forecasting of high speed mobile system

本文主要研究用户移动速度在100km/h至250km/h时,移动通信系统信道信噪比的预测,以解决用户高速移动引起信道快衰落,从而造成基站通过导频测量得到的信道信噪比与信道实际信噪比相差过大的问题。本文所提出的方法是首先利用导频测量用户信道传输系数;接着根据一段时间测量收集的数据建立AR模型,依据该模型预测下一时刻信道的传输系数;最后根据信道传输系数和信噪比之间关系直接推导出下一时刻信道的信噪比。实验仿真结果表明在用户高速移动时,该方法相对于传统的基站直接利用导频测量得到下一时刻信道信噪比的方法降低了与实际信噪比的均方误差值。

It is inefficient to send data in high speed mobile telecom system based on traditional measured SNR because of the sharp decline of the channel performance. In order to minimize errors in data transmission, this paper proposes a new approach to forecast SNR according to channel transmission factor prediction. To predict channel transmission factor, the AR model is constructed using historical data by pilot frequency measurement. Then the SNR is forecasted through the relation founded between SNR and channel transmission factor. The matlab simulation results show that the proposed system is effective in the forecasting of SNR, comparing to the traditional system.