TC-MIMONet: A Learning-based Transceiver for MIMO Systems with Temporal Correlations

Author(s):  
Chunhui Chen ◽  
Zihao Wang ◽  
Yuyi Mao ◽  
Hao Wu ◽  
Bo Bai ◽  
...  
Author(s):  
Hwanjin Kim ◽  
Junil Choi

AbstractThis paper considers the channel estimation problem for massive multiple-input multiple-output (MIMO) systems that use one-bit analog-to-digital converters (ADCs). Previous channel estimation techniques for massive MIMO using one-bit ADCs are all based on single-shot estimation without exploiting the inherent temporal correlation in wireless channels. In this paper, we propose an adaptive channel estimation technique taking the spatial and temporal correlations into account for massive MIMO with one-bit ADCs. We first use the Bussgang decomposition to linearize the one-bit quantized received signals. Then, we adopt the Kalman filter to estimate the spatially and temporally correlated channels. Since the quantization noise is not Gaussian, we assume the effective noise as a Gaussian noise with the same statistics to apply the Kalman filtering. We also implement the truncated polynomial expansion-based low-complexity channel estimator with negligible performance loss. Numerical results reveal that the proposed channel estimators can improve the estimation accuracy significantly by using the spatial and temporal correlations of channels.


2010 ◽  
Vol E93-B (10) ◽  
pp. 2570-2577 ◽  
Author(s):  
Daisuke UCHIDA ◽  
Hiroyuki ARAI ◽  
Yuki INOUE ◽  
Keizo CHO

2012 ◽  
Vol E95.B (9) ◽  
pp. 2999-3002
Author(s):  
Byungwook YOO ◽  
Chungyong LEE

Sign in / Sign up

Export Citation Format

Share Document