The timely precoding of frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) systems is a substantial challenge in practice, especially in mobile environments. In order to improve the precoding performance and reduce the precoding complexity, we propose a partial reciprocity-based precoding matrix prediction scheme and further reduce its complexity by exploiting the channel gram matrix. We prove that the precoders can be predicted through a closed-form eigenvector interpolation which was based on the periodic eigenvector samples. Numerical results validate the performance improvements of our schemes over the conventional schemes from 30 km/h to 500 km/h of moving speed.

翻译：在频分双工大规模多输入多输出系统中，实现及时预编码在实践中是一项重大挑战，尤其在移动环境中。为提升预编码性能并降低其复杂度，本文提出一种基于部分互易性的预编码矩阵预测方案，并进一步通过利用信道格拉姆矩阵降低其复杂度。我们证明预编码器可通过基于周期性特征向量样本的闭式特征向量插值进行预测。数值仿真结果表明，在30公里/小时至500公里/小时的移动速度范围内，本方案较传统方案具有显著的性能提升。