基于统计状态信息的智能反射面辅助网络被动波束形成研究

The-Vi Nguyen, Thi Xuan My Nguyen, D. Hua, Nam-Phuong Tran, Sungrae Cho
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引用次数: 0

摘要

智能反射面(IRS)是下一代通信网络的重要技术之一,它能够定制传播环境,并在能量和频谱效率方面有显著提高。为了实现IRS的这些潜在优势,需要考虑一种高效的IRS无源波束形成设计。然而,最近的研究大多依赖于瞬时通道状态信息(I-CSI),这种信息变化非常快,不实用。另外,使用慢变统计CSI (S-CSI)或它们的组合(混合CSI)更有吸引力。本文综述了S-CSI和混合CSI用于IRS无源波束形成设计的最新研究进展。
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A Survey on Passive Beamforming using Statistical State Information in Intelligent Reflecting Surface Assisted Networks
Intelligent reflecting surface (IRS) is one of the promising technologies for next-generation communication networks, which is capable of customizing propagation environment and provides significant improvements in terms of energy and spectral efficiency. To realize these potential benefits of the IRS, an efficient IRS passive beamforming design should be considered. However, most recent studies have relied on instantaneous channel state information (I-CSI), which changes very fast and is not practical. Alternatively, using slow-varying statistical CSI (S-CSI) or their combination (hybrid CSI) is more attractive. This paper reviews some recent studies on S-CSI and hybrid CSI for IRS passive beamforming design.
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