论文标题
超越5G无线本地化，具有可重构的智能表面
Beyond 5G Wireless Localization with Reconfigurable Intelligent Surfaces
论文作者
论文摘要
5G无线电定位因带宽增加和大型天线阵列而以角度和延迟的方式利用信息。当大阵列嵌入表面时，它们可以被动地将电磁波引导到空间的首选方向上。因此，可重新配置的智能表面（RIS）被视为一种变革性的“超越5G”技术，因此可以控制物理传播环境。尽管此类RI主要是为了沟通目的，但我们在此处表明并分析了RIS AID的下行定位问题，从Fisher信息的角度来看。然后，基于此分析，我们提出了一个两步优化方案，该方案选择要激活的最佳RIS组合并控制其构成元素的阶段以提高定位性能。与自然散射相比，初步模拟结果显示出覆盖范围和准确性的提高，同时指出了低信号噪声比（SNR）和路径间干扰方面的限制。
5G radio positioning exploits information in both angle and delay, by virtue of increased bandwidth and large antenna arrays. When large arrays are embedded in surfaces, they can passively steer electromagnetic waves in preferred directions of space. Reconfigurable intelligent surfaces (RIS), which are seen as a transformative "beyond 5G" technology, can thus control the physical propagation environment. Whereas such RIS have been mainly intended for communication purposes so far, we herein state and analyze a RIS-aided downlink positioning problem from the Fisher Information perspective. Then, based on this analysis, we propose a two-step optimization scheme that selects the best RIS combination to be activated and controls the phases of their constituting elements so as to improve positioning performance. Preliminary simulation results show coverage and accuracy gains in comparison with natural scattering, while pointing out limitations in terms of low signal to noise ratio (SNR) and inter-path interference.
