All-digital massive multiuser (MU) multiple-input multiple-output (MIMO) at millimeter-wave (mmWave) frequencies is a promising technology for next-generation wireless systems. Low-resolution analog-to-digital converters (ADCs) can be utilized to reduce the power consumption of all-digital basestation (BS) designs. However, simultaneously transmitting user equipments (UEs) with vastly different BS-side receive powers either drown weak UEs in quantization noise or saturate the ADCs. To address this issue, we propose high dynamic range (HDR) MIMO, a new paradigm that enables simultaneous reception of strong and weak UEs with low-resolution ADCs. HDR MIMO combines an adaptive analog spatial transform with digital equalization: The spatial transform focuses strong UEs on a subset of ADCs in order to mitigate quantization and saturation artifacts; digital equalization is then used for data detection. We demonstrate the efficacy of HDR MIMO in a massive MU-MIMO mmWave scenario that uses Householder reflections as spatial transform.

翻译：全数字毫米波大规模多用户多输入多输出（MIMO）是下一代无线系统的关键技术。采用低分辨率模数转换器（ADC）可降低全数字基站设计的功耗。然而，当用户设备（UE）在基站侧接收功率差异极大时，较弱用户会被量化噪声淹没或导致ADC饱和。为解决这一问题，我们提出高动态范围（HDR）MIMO这一新范式，可在低分辨率ADC条件下同时接收强、弱用户信号。HDR MIMO将自适应模拟空间变换与数字均衡相结合：空间变换将强用户信号聚焦于部分ADC上以抑制量化与饱和伪影，随后通过数字均衡实现数据检测。我们基于Householder反射作为空间变换的大规模多用户MIMO毫米波场景验证了HDR MIMO的有效性。