论文标题
量化MIMO：通道容量和光谱功率分布
Quantized MIMO: Channel Capacity and Spectrospatial Power Distribution
论文作者
论文摘要
毫米波系统遭受高功率消耗的影响，并且被限制使用低分辨率量化器 - 对模拟和模拟数字转换器（DACS和ADC）的类似物。但是，低分辨率量化会导致数据速率降低，并增加带外排放噪声。在本文中，考虑使用低分辨率DAC和ADC的多输入多输出（MIMO）系统。提供了对系统的信息理论分析，以建模量化对系统的光空间电源分布和系统能力的影响。更确切地说，可以通过具有独立的高斯噪声的线性模型准确地描述量化的影响。反过来，该模型可为发射器的光空间发电机分布和系统的下限提供简单和直观的表达式。此外，通过模拟和数值评估验证了派生的模型，在该模拟和数值评估中可以准确预测光谱和空间功率分布。
Millimeter wave systems suffer from high power consumption and are constrained to use low resolution quantizers --digital to analog and analog to digital converters (DACs and ADCs). However, low resolution quantization leads to reduced data rate and increased out-of-band emission noise. In this paper, a multiple-input multiple-output (MIMO) system with linear transceivers using low resolution DACs and ADCs is considered. An information-theoretic analysis of the system to model the effect of quantization on spectrospatial power distribution and capacity of the system is provided. More precisely, it is shown that the impact of quantization can be accurately described via a linear model with additive independent Gaussian noise. This model in turn leads to simple and intuitive expressions for spectrospatial power distribution of the transmitter and a lower bound on the achievable rate of the system. Furthermore, the derived model is validated through simulations and numerical evaluations, where it is shown to accurately predict both spectral and spatial power distributions.
