论文标题
继电器辅助智能可重新配置的表面：在没有那么多天线的情况下实现潜力
Relay Aided Intelligent Reconfigurable Surfaces: Achieving the Potential Without So Many Antennas
论文作者
论文摘要
本文提出了一种新颖的中继智能智能可重构表面（IRS）架构，用于未来的无线通信系统。所提出的架构由通过全双工中继连接的两个并排智能表面组成，具有实现有希望的智能表面增长的潜力，同时需要少量的反射元素。因此，与经典的IRS方法相比，拟议的IRS体系结构所需的通道估计和横梁训练开销要少得多，并提供更高的鲁棒性。此外，由于将IRS反射过程划分在两个表面上，因此可以优化这些表面的位置和方向以扩展无线通信覆盖范围并增强系统性能。在本文中，首先在分析表征中使用所提出的继电器IRS体系结构的可实现速率和所需的元素数量，然后使用数值模拟进行评估。结果表明，与典型的IRS解决方案相比，所提出的体系结构可以实现元素数量少得多的数据速率目标，这突出了这些智能表面实际部署的有希望的途径。
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.
