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Correlation-Aware Adaptive Element Grouping for Discrete-Phase RIS in High-Mobility Scenarios

delete2026-07-20
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PRE
AI
Y
Yilong Wu
S
Shuqi Tang
K
Kun Chai
Y
Yu Zhang
江
江涛 (Tao Jiang)
DOI：10.1109/lcomm.2026.3714493delete
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Abstract

Abstract

En 中文
This letter proposes an adaptive element grouping method for discrete-phase reconfigurable intelligent surfaces (RISs) serving a high-mobility user equipment (UE) to maximize the average net spectral efficiency. A drift-aware channel state information (CSI) aging model is derived for the RIS-to-UE link, enabling pilot refreshing, CSI prediction, and error covariance characterization. With pilot-training and RIS-reconfiguration overhead included, a two-timescale design is developed: slow-timescale grouping exploits spatial correlation, whereas fast-timescale beamforming and discrete-phase optimization use predicted CSI while retaining residual inter-group coupling. Simulations show higher net spectral efficiency than existing grouping schemes, especially under high mobility and large-scale RISs.
Keywords:
Reconfigurable intelligent surface
element grouping
spatial correlation
discrete phase shift
high mobility

Journal

IEEE Communications Letters cover
IEEE Communications Letters
IF:
4.4
Papers:
1.2W
Citations:
2.2W

Organization

H
huazhong university of science and technology
Scholars:
2.3W
Papers: 7.2K
Citations: 5
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