Angle Domain Signal Processing-Aided Channel Estimation for Indoor 60-GHz TDD/FDD Massive MIMO Systems

Angle Domain Signal Processing-Aided Channel Estimation for Indoor 60-GHz TDD/FDD Massive MIMO Systems

This paper proposes a practical channel estimation for 60-GHz indoor systems with the massive uniform rectangular array at base station. Through antenna array theory, the parameters of each channel path can be decomposed into the angular information and the channel gain information. We first prove that the true direction of arrivals of each uplink path can be extracted via an efficient array signal processing method. Then, the channel gain information could be obtained linearly with small amount of training resources, which significantly reduces the training overhead and the feedback cost. More importantly, the proposed scheme unifies the uplink/downlink channel estimations for both the time duplex division and frequency duplex division systems, making itself particularly suitable for protocol design. Compared with the existing channel estimation algorithms, the newly proposed one does not require any knowledge of channel statistics and can be efficiently deployed by the 2-D fast Fourier transform. Meanwhile, the number of user terminals simultaneously served can be increased from a sophisticatedly designed angle division multiple access scheme. Simulation results are provided to corroborate the proposed studies.

本文针对基站采用大规模均匀矩形阵列的60GHz室内系统提出了一种实用的信道估计方法。通过天线阵列理论，每条信道路径的参数可分解为角度信息和信道增益信息。我们首先证明，通过一种高效的阵列信号处理方法可以提取出每条上行链路路径的真实到达方向。然后，可以用少量的训练资源线性地获取信道增益信息，这显著降低了训练开销和反馈成本。更重要的是，所提出的方案统一了时分双工和频分双工系统的上下行信道估计，使其特别适用于协议设计。与现有的信道估计算法相比，新提出的算法不需要任何信道统计信息知识，并且可以通过二维快速傅里叶变换高效部署。同时，通过精心设计的角度分割多址接入方案，可以增加同时服务的用户终端数量。提供了仿真结果以证实所提出的研究。