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arXiv 2103.00934cs.ITmath.IT
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角域智能反射面系统的设计与分析

Angle-Domain Intelligent Reflecting Surface Systems: Design and Analysis

Xiaoling Hu, Caijun Zhong, Zhaoyang Zhang

摘要:

本文研究了一种角域智能反射面系统。我们推导出最大似然(ML)估计的有效角度从基站(BS)的用户和有效传播角度从IRS的用户。它表明,估计角度的精度提高与BS天线的数量。此外,将IRS部署得更靠近BS增加了从IRS到用户的估计角度的准确性。然后,基于估计的角度,我们提出了一个联合优化BS波束形成和IRS波束形成,实现了类似的性能,基于全CSI和多信号分类(MUSIC)方法的两个基准算法。仿真结果表明,随着反射单元数目的增加,优化后的BS波束更加聚焦于IRS方向。此外,我们得到了一个封闭的形式近似,上界和下界的可达率。分析结果表明,可以通过增加BS天线或反射元件的数量来提高可达速率。具体地,BS-用户链路和BS-IRS-用户链路可以分别获得阶数为$N$和$NM^2$的功率增益,其中$N$是天线数目,而$M$是反射元件的数目。

英文摘要:

This paper considers an angle-domain intelligent reflecting surface (IRS) system. We derive maximum likelihood (ML) estimators for the effective angles from the base station (BS) to the user and the effective angles of propagation from the IRS to the user. It is demonstrated that the accuracy of the estimated angles improves with the number of BS antennas. Also, deploying the IRS closer to the BS increases the accuracy of the estimated angle from the IRS to the user. Then, based on the estimated angles, we propose a joint optimization of BS beamforming and IRS beamforming, which achieves similar performance to two benchmark algorithms based on full CSI and the multiple signal classification (MUSIC) method respectively. Simulation results show that the optimized BS beam becomes more focused towards the IRS direction as the number of reflecting elements increases. Furthermore, we derive a closed-form approximation, upper bound and lower bound for the achievable rate. The analytical findings indicate that the achievable rate can be improved by increasing the number of BS antennas or reflecting elements. Specifically, the BS-user link and the BS-IRS-user link can obtain power gains of order $N$ and $NM^2$, respectively, where $N$ is the antenna number and $M$ is the number of reflecting elements.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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