arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2006.06644cs.ITeess.SPmath.IT
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继电器辅助智能可重构表面:实现潜力而无需如此多的继电器

Relay Aided Intelligent Reconfigurable Surfaces: Achieving the Potential Without So Many Antennas

Xiaoyan Ying, Umut Demirhan, Ahmed Alkhateeb

摘要:

本文提出了一种新的中继辅助智能可重构表面(IRS)架构,为未来的无线通信系统。所提出的架构,它包括两个并排的智能表面连接通过全双工继电器,有潜力实现有前途的收益的智能表面,同时需要更少的反射元件。因此,所提出的IRS架构需要显著更少的信道估计和波束训练开销,并且与经典IRS方法相比提供更高的鲁棒性。此外,由于在两个表面上划分IRS反射过程,这些表面的位置和取向可以被优化以扩展无线通信覆盖并增强系统性能。在本文中,可实现的速率和所需的元件数量,使用建议的继电器辅助IRS架构的第一个解析的特点,然后使用数值模拟进行评估。结果表明,所提出的架构可以实现数据率的目标,与典型的IRS解决方案相比,更少的元素,这突出了这些智能表面的实际部署的一个有前途的路径。

英文摘要:

This paper proposes a novel relay-aided intelligent reconfigurable surface (IRS) architecture for future wireless communication systems. The proposed architecture, which consists of two side-by-side intelligent surfaces connected via a full-duplex relay, has the potential of achieving the promising gains of intelligent surfaces while requiring much smaller numbers of reflecting elements. Consequently, the proposed IRS architecture needs significantly less channel estimation and beam training overhead and provides higher robustness compared to classical IRS approaches. Further, thanks to dividing the IRS reflection process over two surfaces, the position and orientation of these surfaces can be optimized to extend the wireless communication coverage and enhance the system performance. In this paper, the achievable rates and required numbers of elements using the proposed relay-aided IRS architecture are first analytically characterized and then evaluated using numerical simulations. The results show that the proposed architecture can achieve the data rate targets with much smaller numbers of elements compared to typical IRS solutions, which highlights a promising path towards the practical deployment of these intelligent surfaces.

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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