Analysis of Downlink Channel Estimation Based on Parametric Model in Massive MIMO Systems
Analysis of Downlink Channel Estimation Based on Parametric Model in Massive MIMO Systems
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DOI：
10.1109/isape.2018.8634083
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发表时间：
2018-12
期刊：
影响因子：
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通讯作者：
Kai Liu;C. Tao;Liu Liu-Liu;Yanping Lu;Tao Zhou;Jiahui Qiu
中科院分区：
文献类型：
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作者：
Kai Liu;C. Tao;Liu Liu-Liu;Yanping Lu;Tao Zhou;Jiahui Qiu
This paper investigates downlink channel estimation in massive multiple-input multiple-output (MIMO) systems. To reduce the overhead of downlink channel estimation and uplink feedback in FDD systems, cascaded precoding has been used in massive MIMO such that only a low-dimensional effective channel needs to be estimated and fed back. In this paper, we analyze a strategy for downlink channel estimation based on the parametric model in massive MIMO with cascaded precoding. The path delays of uplink channels are first estimated and quantized at the base station, then fed forward to the user equipment (UE) through a dedicated feedforward link. In this manner, the UE can obtain the a priori knowledge of the downlink channel in advance since it has been demonstrated that the downlink and the uplink channels can have identical path delays. Our analysis and simulation results show that the proposed approach can achieve near-MMSE performance.
