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（MU-MIMO）是下一代无线系统的一项有前景的技术。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，当同时传输的用户设备（UE）在基站侧具有差异极大的接收功率时，要么弱用户被淹没在量化噪声中，要么ADC发生饱和。为解决这一问题，我们提出高动态范围（HDR）MIMO这一新范式，它能够使用低分辨率ADC同时接收强用户和弱用户。HDR-MIMO将自适应模拟空间变换与数字均衡相结合：空间变换将强用户聚焦到部分ADC上，从而减轻量化与饱和伪影；随后利用数字均衡进行数据检测。我们通过基于Householder反射作为空间变换的大规模MU-MIMO毫米波场景验证了HDR-MIMO的有效性。