IRS-aided Predictable High-Mobility Vehicular Communication with Doppler Effect Mitigation
Ke Wang, Chan–Tong Lam, Benjamin K. Ng
Abstract
In this paper, we propose a novel anti-Doppler spread technique in IRS-aided predictable high-mobility vehicular communication. The predictable information of vehicle (e.g., speed, trajectory, and timetable) can be used to design a suboptimal phase shift set by solving a multi-objective problem, which can make IRS capable of maximizing instantaneous signal-to-noise ratio (SNR), minimizing Doppler spread, and keeping delay spread to a relatively low range simultaneously. The technique we proposed in this paper is more cost-effective, more practical, and of higher energy efficiency since the phase shift set by every element of the IRS for one vehicle pass can be designed and stored in advance, instead of processing in real-time. Simulation results show the effectiveness of the proposed phase shift set as compared to benchmark schemes.