Channel estimation and uplink achievable rates in one-bit massive MIMO systems

• DOI: 10.1109/sam.2016.7569618
• Publication Date: 2016-10-06T18:30:37Z
• Authors: Yongzhi Li; Cheng Tao; Liu Liu; Gonzalo Seco-Gran...; A. Lee Swindlehurst
• Keywords: Maximal-ratio combining; Expression (computer science)

This paper considers channel estimation and achievable rates for the uplink of a massive multiple-input multiple-output (MIMO) system where base station is equipped with one-bit analog-to-digital converters (ADCs). By rewriting nonlinear quantization using linear expression, we first derive simple insightful expression minimum mean-square-error (LMMSE) estimator. Then employing this estimator, closed-form lower bound rate maximum ratio combiner (MRC) receiver. Numerical results are presented to verify our analysis show that proposed LMMSE estimator outperforms near likelihood (nML) previously.