论文标题
具有迁移率的大规模MIMO的多维矩阵基于铅笔的通道预测方法
A Multi-Dimensional Matrix Pencil-Based Channel Prediction Method for Massive MIMO with Mobility
论文作者
论文摘要
本文解决了大规模多输入多输出系统中的移动性问题，这在第五代移动通信网络的实际部署中导致了巨大的性能损失。我们提出了一种基于多维矩阵铅笔（MDMP）的新通道预测方法，该方法通过利用宽带通道的角频域和角度域结构来估算路径参数。 MDMP方法还需要一个新的路径配对方案，以基于角度估计的超分辨率特性，将延迟和多普勒配对。我们的方法能够处理用户运动引入的时变路径延迟的现实限制，而文献中尚未考虑。从理论上讲，我们证明，在随时间变化的路径延迟的情况下，预测误差会随着基站（BS）天线的增加而收敛到零，只要知道两个任意的通道样本。我们还得出了BS天线数量的较低限制，以实现令人满意的性能。 3GPP工业渠道模型下的仿真结果表明，即使用户的速度达到120 km/h，通道状态信息的延迟也达到16 ms，我们提出的MDMP方法也可以使用平稳场景的性能。
This paper addresses the mobility problem in massive multiple-input multiple-output systems, which leads to significant performance losses in the practical deployment of the fifth generation mobile communication networks. We propose a novel channel prediction method based on multi-dimensional matrix pencil (MDMP), which estimates the path parameters by exploiting the angular-frequency-domain and angular-time-domain structures of the wideband channel. The MDMP method also entails a novel path pairing scheme to pair the delay and Doppler, based on the super-resolution property of the angle estimation. Our method is able to deal with the realistic constraint of time-varying path delays introduced by user movements, which has not been considered so far in the literature. We prove theoretically that in the scenario with time-varying path delays, the prediction error converges to zero with the increasing number of the base station (BS) antennas, providing that only two arbitrary channel samples are known. We also derive a lower-bound of the number of the BS antennas to achieve a satisfactory performance. Simulation results under the industrial channel model of 3GPP demonstrate that our proposed MDMP method approaches the performance of the stationary scenario even when the users' velocity reaches 120 km/h and the latency of the channel state information is as large as 16 ms.
