论文标题
近场和远场通信，具有大型智能表面
Near- and Far-Field Communications with Large Intelligent Surfaces
论文作者
论文摘要
本文研究了两个单个Ant-Antenna用户设备（UES）与大型智能表面（LIS）进行通信的上行频谱效率（SE），该效率（LIS）定义为由$ n $天线组成的平面阵列，每个天线都有每个面积$ a $ a $。分析是通过确定的视线传播通道模型进行的，该模型捕获了所谓的阵列近场的关键基本方面。考虑了最大比率（MR）和最小平均误差（MMSE）组合方案。使用这两个方案，当方形阵列的宽度/高度$ l = \ sqrt {na} $时，信号和干扰项被数值分析是传输设备位置的函数。结果表明，每当传输UE的距离与LIS的尺寸相当时，就需要精确的近场模型来评估SE。结果表明，如果$ l $生长，则UES最终处于几何近场中，并且干扰不会消失。 MMSE的表现几乎超过MR。
This paper studies the uplink spectral efficiency (SE) achieved by two single-antenna user equipments (UEs) communicating with a Large Intelligent Surface (LIS), defined as a planar array consisting of $N$ antennas that each has area $A$. The analysis is carried out with a deterministic line-of-sight propagation channel model that captures key fundamental aspects of the so-called geometric near-field of the array. Maximum ratio (MR) and minimum mean squared error (MMSE) combining schemes are considered. With both schemes, the signal and interference terms are numerically analyzed as a function of the position of the transmitting devices when the width/height $L = \sqrt{NA}$ of the square-shaped array grows large. The results show that an exact near-field channel model is needed to evaluate the SE whenever the distance of transmitting UEs is comparable with the LIS' dimensions. It is shown that, if $L$ grows, the UEs are eventually in the geometric near-field and the interference does not vanish. MMSE outperforms MR for an LIS of practically large size.
