Roadside IRS-Aided Vehicular Communication: Efficient Channel Estimation and Low-Complexity Beamforming Design
Zixuan Huang, Beixiong Zheng, Rui Zhang

TL;DR
This paper introduces a roadside IRS-assisted vehicular communication system with a novel two-stage channel estimation scheme that efficiently handles high-mobility scenarios, significantly improving throughput without altering existing protocols.
Contribution
It proposes a new two-stage channel estimation method and low-complexity beamforming design for IRS-assisted vehicular communication, suitable for high-mobility environments.
Findings
Achieves high IRS passive beamforming gain
Enhances communication throughput in high-speed scenarios
Operates without changing existing transmission protocols
Abstract
Intelligent reflecting surface (IRS) has emerged as a promising technique to control wireless propagation environment for enhancing the communication performance cost-effectively. However, the rapidly time-varying channel in high-mobility communication scenarios such as vehicular communication renders it challenging to obtain the instantaneous channel state information (CSI) efficiently for IRS with a large number of reflecting elements. In this paper, we propose a new roadside IRS-aided vehicular communication system to tackle this challenge. Specifically, by exploiting the symmetrical deployment of IRSs with inter-laced equal intervals on both sides of the road and the cooperation among nearby IRS controllers, we propose a new two-stage channel estimation scheme with off-line and online training, respectively, to obtain the static/time-varying CSI required by the proposed…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Antenna Design and Analysis · Advanced Antenna and Metasurface Technologies
