论文标题
低分辨率空间Sigma-Delta ADCS的大规模MIMO通道估计
Massive MIMO Channel Estimation with Low-Resolution Spatial Sigma-Delta ADCs
论文作者
论文摘要
我们考虑了上行链路大量多输入多输出（MIMO）系统的通道估计，在该系统中，基站（BS）使用具有低分辨率（1-2位）类似物到数字转换器的阵列和空间Sigma-Delta（$σδ$）的空间体系结构，以使量化量远离某些角膜扇区的用户。我们基于BUSSGANG分解，开发了线性最小平方误差（LMMSE）通道估计器，该分解器使用等效线性模型和量化噪声对非线性量化模型进行了重新构造。我们还通过最大比率组合（MRC），零强度（ZF）和LMMSE接收器分析上行链路可实现的速率，并为MRC接收器提供了可实现的速率的下限。数值结果表明，与常规1或2位量化的大型MIMO系统相比，使用$σδ$结构的较高的通道估计和总和光谱效率性能。
We consider channel estimation for an uplink massive multiple-input multiple-output (MIMO) system where the base station (BS) uses an array with low-resolution (1-2 bit) analog-to-digital converters and a spatial Sigma-Delta ($ΣΔ$) architecture to shape the quantization noise away from users in some angular sector. We develop a linear minimum mean squared error (LMMSE) channel estimator based on the Bussgang decomposition that reformulates the nonlinear quantizer model using an equivalent linear model plus quantization noise. We also analyze the uplink achievable rate with maximal ratio combining (MRC), zero-forcing (ZF), and LMMSE receivers and provide a lower bound for the achievable rate with the MRC receiver. Numerical results show superior channel estimation and sum spectral efficiency performance using the $ΣΔ$ architecture compared to conventional 1- or 2-bit quantized massive MIMO systems.
