一种MIMO时变信道下的低反馈量有限反馈预编码方法

A Limited Feedback Precoding Method Based on Adaptive Subspace Tracking and Jacobi Algorithm for Time-Varying Channels

本文提出了一种新颖的适用于MIMO时变信道环境的有限反馈预编码方法。该方法利用子空间跟踪算法自适应跟踪时变信道的发射预编码矩阵,同时结合Jacobi迭代算法有效降低了有限反馈预编码的反馈量。通过计算机仿真,该方法在AR1时变信道模型,以及更实际的Jake's时变信道模型下的跟踪性能得到很好的验证。在更低的反馈量下,该方法可以获得比传统的存在反馈延时的Grassmannian预编码方法更好的系统容量性能,而且该方法在相同的反馈量下,无论是收敛性能还是误码率性能都明显优于将Jacobi迭代算法直接应用于时变信道跟踪的预编码方法。

This paper proposes a novel limited feedback precoding method for MIMO time-varying channels. This method uses adaptive subspace tracking algorithm for transmission tracking of the precoding matrix for time-varying channels. Meanwhile, we use the Jacobi algorithm to reduce the feedback bits of limited feedback precoding, the tracking performance of the new method applied to a dynamic ARI fading channel and Jake＇ s fading channel is analyzed. Simulations show that the new precoding method not only reduces the feedback bits, but also results in larger system sum capacity gains than the Grassmannian precoding method with feedback delay. Furthermore, Simulations of Bit-error rate and Ergodic capacity in a dynamic fading channel show the proposed method outperforms the Jacobi iterative algorithm.