Quantized Hybrid Precoding Design for Millimeter-Wave Large-Scale MIMO Systems

Millimeter wave (mmWave) and large-scale multiple input multiple output (MIMO) are two emerging technologies in fifth-generation wireless communication systems. The power consumption and hardware cost of radio frequency (RF) chains increase exponentially with the bit resolution of analog-to-digital converters (ADCs) and digital-to-analog converters (DACs). One promising solution is to employ few RF chains with low-bit ADCs and DACs. In this paper, we consider mmWave large-scale MIMO systems with low bits DACs and ADCs. Leveraging on the Bussgang theorem and the additive quantization noise model (AQNM), a closed-form expression of the achievable rate is derived to show the effect of the ADCs. and DACs. resolution. Moreover, an orthogonal matching pursuit (OMP) based hybrid precoding algorithm is proposed to increase the achievable rate. Our results show that the impact of DACs is more pronounced than the impact of ADCs. Furthermore, 5-bit ADCs and DACs are sufficient at the transceiver to operate without a significant performance loss.