基于环境辅助信息的无线信道预测

Wireless channel prediction based on auxiliary environmental information

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。

The prediction range for wireless channels is limited by the coherent time while the pilot symbols are limited by the Doppler frequency in channel prediction. The relationship between the channel state information （CSI） and the static channel parameters was analyzed to develop a parametric predictor on the basis of auxiliary environmental static parameters. When the static parameters and the state of the moving station are known, the algorithm can accurately predict the CSI variation. The algorithm performance is compared with auto regression predictors using real measurement data for narrow-band flat-fading channel model. The prediction length is not limited to 1/2 wavelength and the number of pilots is a function of only the static scatterers.