Linear Model of RIS-Aided High-Mobility Communication System
Shuaijun Li, Jie Tang, Beixiong Zheng, Xiaokai Song, Guixin Pan, and, Kai-Kit Wong

TL;DR
This paper proposes a low-complexity linear model for RIS-aided high-mobility V2X communication, enhancing stability and reducing overhead in fast-fading environments through novel signal processing and precoding schemes.
Contribution
It introduces a Doppler-robust linear model for RIS-aided high-mobility systems, with tailored solutions for uplink and downlink, and derives asymptotic performance in closed-form.
Findings
Improved stability in high-mobility environments.
Reduced channel training overhead.
Enhanced performance over benchmark schemes.
Abstract
Reconfigurable intelligent surface (RIS)-aided vehicle-to-everything (V2X) communication has emerged as a crucial solution for providing reliable data services to vehicles on the road. However, in delay-sensitive or high-mobility communications, the rapid movement of vehicles can lead to random scattering in the environment and time-selective fading in the channel. In view of this, we investigate in this paper an innovative linear model with low-complexity transmitter signal design and receiver detection methods, which boost stability in fast-fading environments and reduce channel training overhead. Specifically, considering the differences in hardware design and signal processing at the receiving end between uplink and downlink communication systems, distinct solutions are proposed. Accordingly, we first integrate the Rician channel introduced by the RIS with the corresponding signal…
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