利用计算机视觉辅助可重构智能表面，扩大移动通信系统的覆盖范围

IF 2.5 3区物理与天体物理 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Photonics and Nanostructures-Fundamentals and Applications Pub Date : 2024-10-03 DOI:10.1016/j.photonics.2024.101318

Vitalii A. Pavlov , Andrey A. Belov , Andrey D. Sayanskiy , Daniil A. Vabishchevich

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引用次数: 0

摘要

本文介绍了一种由计算机视觉（CV）辅助的反射智能表面（RIS）。反射智能表面可以将发射器的信号反射到信号强度较低的阴影区域，从而扩大通信系统的覆盖范围。计算机视觉可协助 RIS 搜索和跟踪潜在用户。有关用户位置的信息被用来将 RIS 波束引向用户。演示了 CV 算法的操作及其与 RIS 控制环的整合。在非视线（NLOS）情况下，由于 RIS 的运行，接收到的信号功率提高了 15-20 dB。该系统成本低、功耗小。

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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Reconfigurable intelligent surface assisted by computer vision for increasing coverage area in mobile communication systems

The paper describes a reflective intelligent surface (RIS) assisted by computer vision (CV). A RIS can reflect the transmitter’s signal into shadow regions with low signal strength thus increasing the coverage area of a communication system. CV assists the RIS in searching for and tracking potential users. Information about user’s position is used to direct the RIS beam towards the user. Operation of CV algorithms and their integration in the RIS control loop is demonstrated. Increase in the received signal power of 15–20 dB in non-line of sight (NLOS) situations due to RIS operation is achieved. The system has a low cost and power consumption.

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来源期刊

Photonics and Nanostructures-Fundamentals and Applications 工程技术-材料科学：综合

CiteScore

5.00

自引率

3.70%

发文量

审稿时长

62 days

期刊介绍： This journal establishes a dedicated channel for physicists, material scientists, chemists, engineers and computer scientists who are interested in photonics and nanostructures, and especially in research related to photonic crystals, photonic band gaps and metamaterials. The Journal sheds light on the latest developments in this growing field of science that will see the emergence of faster telecommunications and ultimately computers that use light instead of electrons to connect components.