Practical Evaluation Method for Large IRS: RCS Pattern Synthesis of Sub-IRS with Mutual Coupling

H. Matsuno, Tatsuya Nagao, Takuya Ohto, Takahiro Hayashi, Michihiro Harada
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引用次数: 1

Abstract

Intelligent reflecting surfaces (IRSs) have recently been attracting attention as solutions for coverage hole problems in mobile communication areas. To utilize the IRS for mobile networks, the reflecting signal strength of IRS is evaluated in advance to estimate the improvement of coverage and interference with other wireless systems. In order to evaluate an actual IRS precisely, the reflecting phase and amplitude should be evaluated considering the mutual coupling effect. In addition, a large measurement system is required to satisfy the far-field conditions of IRS. This makes the evaluation of large IRS difficult. To solve this problem, we propose a practical evaluation method of a large IRS by synthesizing RCS patterns of small IRSs (sub-IRS). To verify the validity, we also formulate mutual coupling effects on the IRS. Through numerical evaluation, the influence of mutual coupling between each sub-IRS is reduced by increasing the size of the sub-IRS. In addition, through evaluation with the electromagnetic simulator, the RCS pattern of the proposed method reproduced that of a large IRS.
大型IRS实用评价方法:相互耦合的子IRS RCS图综合
智能反射面(IRSs)作为移动通信领域覆盖空洞问题的解决方案,近年来备受关注。为了将IRS应用于移动网络,需要事先评估IRS的反射信号强度,以估计其覆盖范围的改善和对其他无线系统的干扰。为了准确地评估实际IRS,需要考虑到相互耦合效应来评估反射相位和振幅。此外,为了满足IRS的远场条件,需要一个大型的测量系统。这使得对大型IRS的评估变得困难。为了解决这一问题,我们提出了一种综合小IRS(次IRS) RCS模式的大型IRS实用评价方法。为了验证其有效性,我们还制定了相互耦合效应对IRS的影响。通过数值计算,可以通过增大子irs的大小来减小子irs之间相互耦合的影响。此外,通过电磁模拟器的评估,该方法的RCS模式再现了大型IRS的RCS模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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