论文标题
智能反射表面的关节梁训练和定位辅助毫米波通信
Joint Beam Training and Positioning For Intelligent Reflecting Surfaces Assisted Millimeter Wave Communications
论文作者
论文摘要
智能反射表面（IRS）提供了一种具有成本效益的解决方案，可以在MMWave通信中链接阻塞问题，其先决条件的准确估计（1）基于基础站/接入点（BS/AP）和移动终端（MT）的最佳光束（MT）和（2）IRS的最佳分化模式，以及IRS和（3）链接封闭。在本文中，我们为IRSS辅助MMWave Communications进行了光束训练设计，以估计上述参数。为了获取最佳光束和反射模式，我们首先对bs/ap/ap（或IRS）和MT之间的视线（LOS）路径（los）路径的估算角度（AOA）和出发角度（AOA）和出发角度（AOA）进行估算。然后，随着AOA和AOD的估计，我们提出了一种迭代定位算法，该算法可实现厘米级的定位精度。获得的位置信息不仅是附带的好处，而且还使我们能够跨越和增强AOA和AOD的估计，并促进阻塞指标的预测。数值结果表明我们提出的梁训练方案的优越性，并验证位置信息带来的性能增长。
Intelligent reflecting surface (IRS) offers a cost effective solution to link blockage problem in mmWave communications, and the prerequisite of which is the accurate estimation of (1) the optimal beams for base station/access point (BS/AP) and mobile terminal (MT), (2) the optimal reflection patterns for IRSs, and (3) link blockage. In this paper, we carry out beam training design for IRSs assisted mmWave communications to estimate the aforementioned parameters. To acquire the optimal beams and reflection patterns, we firstly perform random beamforming and maximum likelihood estimation to estimate angle of arrival (AoA) and angle of departure (AoD) of the line of sight (LoS) path between BS/AP (or IRSs) and MT. Then, with the estimate of AoAs and AoDs, we propose an iterative positioning algorithm that achieves centimeter-level positioning accuracy. The obtained location information is not only a fringe benefit but also enables us to cross verify and enhance the estimation of AoA and AoD, and facilitates the prediction of blockage indicator. Numerical results show the superiority of our proposed beam training scheme and verify the performance gain brought by location information.
