All-digital basestation (BS) architectures for millimeter-wave (mmWave) massive multi-user multiple-input multiple-output (MU-MIMO), which equip each radio-frequency chain with dedicated data converters, have advantages in spectral efficiency, flexibility, and baseband-processing simplicity over hybrid analog-digital solutions. For all-digital architectures to be competitive with hybrid solutions in terms of power consumption, novel signal-processing methods and baseband architectures are necessary. In this paper, we demonstrate that adapting the resolution of the analog-to-digital converters (ADCs) and spatial equalizer of an all-digital system to the communication scenario (e.g., the number of users, modulation scheme, and propagation conditions) enables orders-of-magnitude power savings for realistic mmWave channels. For example, for a 256-BS-antenna 16-user system supporting 1 GHz bandwidth, a traditional baseline architecture designed for a 64-user worst-case scenario would consume 23 W in 28 nm CMOS for the ADC array and the spatial equalizer, whereas a resolution-adaptive architecture is able to reduce the power consumption by 6.7x.
翻译:所有数字基站(BS)结构(MM-MIMO)为每个无线电频率链配备专用数据转换器,这些结构在光谱效率、灵活性和基带处理简单性方面优于混合模拟数字解决方案。所有数字基础站结构在电耗、新型信号处理方法和基带结构方面与混合解决方案具有竞争力是必要的。在本文件中,我们证明,使所有数字系统的模拟数字转换器(ADCs)和空间平衡器的分辨率适应通信情景(例如,用户数量、调制计划和传播条件),能够为现实的mmWave频道带来惊人的节能。例如,对于支持1GHMz带宽的256-BS-antenna 16用户系统来说,一个为64用户最坏情况设想设计的传统的基线结构将消耗23兆CMOS,用于ADC阵列和空间均势。而分辨率平准的建筑则能够减少ADC的电压。