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arXiv 2107.02087physics.app-ph
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基于二进制可重构智能表面的mmWave无源接入点扩展器的实验验证

Experimental demonstration of a mmWave passive access point extender based on a binary reconfigurable intelligent surface

Vladislav Popov, Mikhail Odit, Jean-Baptiste Gros, Vladimir Lenets, Akira Kumagai, Mathias Fink, Kotaro Enomoto, Geoffroy Lerosey

摘要:

随着数据速率需求的爆炸式增长,5G将很快依赖于提供更高带宽的毫米波。然而,在这些频率,波的衰减和波的衍射需要与复杂且功率贪婪的波束成形基站进行点对点通信。此外,由于在这些频率下的任何障碍物都完全阻挡了波,因此网络必须非常密集,导致其成本急剧增加。避免这个问题的一种方法是使用可重新配置的智能表面重定向来自许多位置的基站的波束,以便即使在混乱的环境中也能增加它们的覆盖范围。在这里,我们描述和实验证明,在28~GHz的工作,基于标准的PCB和现成的PIN二极管的二元可调谐超表面。我们表明,它可以被用来作为一个可重构的智能表面,波束形成的入射平面波在一个给定的角度,一个或几个传出的平面波的角度可重构的实时。最重要的是,我们使用这个20厘米的$\times$ 20厘米可重构智能表面与软件定义的无线电和上/下变频器在28 GHz,并演示了一个发射器和接收器之间的无线链路10米远,在非视线配置,从而证明了该方法的有效性。

英文摘要:

As data rates demands are exploding, 5G will soon rely on mmWaves that offer much higher bandwidths. Yet at these frequencies, attenuation and diffraction of waves require point to point communications with beamforming base stations that are complex and power greedy. Furthermore, since any obstacle at these frequencies completely blocks the waves, the networks must be extremely dense, resulting in dramatic increase of its cost. One way to avoid this problem is to redirect beams coming from base stations at many locations with Reconfigurable Intelligent Surfaces, in order to increase their coverage even in cluttered environments. Here we describe and experimentally demonstrate a binary tunable metasurface operating at 28~GHz, based on standard PCB and off the shelves PIN diodes. We show that it can be used as a Reconfigurable Intelligent Surface that beamforms an incoming plane wave at a given angle to one or several outgoing plane waves at angles reconfigurable in real time. Most importantly we use this 20~cm$\times$20~cm reconfigurable Intelligent Surface alongside software defined radio and up/down converters at 28~GHz, and demonstrate a wireless link between an emitter and a receiver 10~meters away, in a non line of sight configuration, hence proving the validity of the approach.

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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