Channel Prediction in Time-Varying Massive MIMO Environments
Channel Prediction in Time-Varying Massive MIMO Environments
复制标题
时变大规模 MIMO 环境中的信道预测
DOI：
10.1109/access.2017.2766091
复制
发表时间：
2017
期刊：
影响因子：
3.9
通讯作者：
Jiang Tao
中科院分区：
文献类型：
--
作者：
Peng Wei;Zou Meng;Jiang Tao
The massive MIMO channel is characterized by non-stationarity and fast variation, thereby the channel state information obtained by traditional methods will be outdated and the system performance will be degraded. In this paper, we propose a channel prediction algorithm in massive MIMO environments. First, considering the channel characteristics, we propose a first-order Taylor expansion-based predictive channel modeling method. Then, a channel prediction algorithm consisting of the estimation stage and prediction stage is proposed and the interval of effective prediction (IEP) is derived. The performance of the proposed algorithm is testified by numerical simulations. It is shown that, within the IEP, a reliable channel prediction can be obtained with low computational complexity.
