Using low-resolution analog-to-digital converters (ADCs) is a valuable solution to decrease power consumption and cost in massive MIMO systems. Previous studies show that the performance gap between low and high-resolution systems gets more prominent as the signal-to-noise ratio (SNR) increases since the detection performance starts to saturate at some point due to the stochastic resonance (SR) phenomenon. In our previous work, we proposed new quantization and detection schemes for one-bit massive MIMO systems operating under frequency-flat fading. This paper offers a new frequency domain equalization (FDE) scheme that can work with the previously proposed pseudo-random quantization (PRQ) scheme to mitigate the effects of SR to support high-order modulation schemes such as $64$-QAM and $256$-QAM. Our equalizer is based on a projected quasi-Newton method for one-bit uplink massive MIMO systems applicable for orthogonal frequency division multiplexing (OFDM) and single carrier (SC) transmission under frequency-selective fading. The proposed low-complexity detector can outperform the benchmark detector from the literature with very similar complexity. We analyze the effects of PRQ under frequency-selective fading for different scenarios and show that the PRQ scheme can close the performance gap between SC and OFDM systems by simulations.

翻译：采用低分辨率模数转换器（ADC）是降低大规模MIMO系统功耗与成本的有效解决方案。先前研究表明，随着信噪比（SNR）提升，低分辨率系统与高分辨率系统之间的性能差距会逐渐扩大，这是由于随机共振（SR）现象导致检测性能在某一点开始饱和。在我们前期工作中，针对频率平坦衰落环境下的单比特大规模MIMO系统，提出了新型量化与检测方案。本文提出一种新的频域均衡（FDE）方案，可与前期提出的伪随机量化（PRQ）方案协同工作，以抑制SR效应，从而支持如$64$-QAM和$256$-QAM等高阶调制方案。所提均衡器基于投影拟牛顿方法，适用于频率选择性衰落条件下的正交频分复用（OFDM）与单载波（SC）传输的上行单比特大规模MIMO系统。该低复杂度检测器能以相近复杂度超越文献中的基准检测器。通过仿真分析不同场景下频率选择性衰落对PRQ方案的影响，表明PRQ方案能够缩小SC与OFDM系统间的性能差距。