论文标题
光谱效率与可重构智能表面的下行链路算法中的复杂性
Spectral Efficiency vs Complexity in Downlink Algorithms for Reconfigurable Intelligent Surfaces
论文作者
论文摘要
可重新配置的智能表面（RIS）是一种新兴技术，可用于重新配置传播环境以提高细胞通信链接率。 ris是由离散元件组成的薄元面积，通过受控的反射相调谐被动地操纵入射电磁波。在本文中，我们研究了Multiantenna底座载体和多元RIS相位移动的共同设计。下行链路窄带变速箱使用以下6 GHz频带，用户设备具有单个天线。受RIS相移的非凸约限制，我们将光谱效率或等效的通道功率最大化为代理。我们在改善RIS辅助链接方面的贡献包括（1）设计梯度上升代码算法的设计，以及（2）在光谱效率与计算复杂性中七个代码算法的比较。在模拟中，我们提出的两个梯度上升算法显示了最佳的光谱效率与计算复杂性权衡。
Reconfigurable Intelligent Surfaces (RIS) are an emerging technology that can be used to reconfigure the propagation environment to improve cellular communication link rates. RIS, which are thin metasurfaces composed of discrete elements, passively manipulate incident electromagnetic waves through controlled reflective phase tuning. In this paper, we investigate co-design of the multiantenna basestation beamforming vector and multielement RIS phase shifts. The downlink narrowband transmission uses sub-6 GHz frequency bands, and the user equipment has a single antenna. Subject to the non-convex constraints due to the RIS phase shifts, we maximize the spectral efficiency or equivalent channel power as a proxy. Our contributions in improving RIS-aided links include (1) design of gradient ascent codesign algorithms, and (2) comparison of seven codesign algorithms in spectral efficiency vs. computational complexity. In simulation, the best spectral efficiency vs. computational complexity tradeoffs are shown by two of our proposed gradient ascent algorithms.
