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

摘要

Millimeter wave (mmWave) and large-scale multiple input multiple output (MIMO) are two emerging technologies in fifth-generation wireless communication sys-tems. The power consumption and hardware cost of radio frequency (RF) chains increase exponentially with the bit resolution of an-alog-to-digital converters (ADCs) and digi-tal-to-analog converters (DACs). One promis-ing 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 quan-tization noise model (AQNM), a closed-form expression of the achievable rate is derived to show the effect of the ADCs? and DACs? reso-lution. Moreover, an orthogonal matching pur-suit (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 suf-ficient at the transceiver to operate without a significant performance loss.