Dynamic IRS Selection for High-Speed Mobility in 6G Networks

Abstract: The Intelligent Reflecting Surfaces (IRS) have become a promising technology in the enhancement of wireless communication by providing programmable control of the propagation environment. Most of currently available IRS-assisted systems are however designed under quasi-static conditions of the channel, which may not be suitable for high-mobility scenarios envisioned in future 6G networks. This paper proposes a Doppler-aware IRS performance evaluation framework for high-mobility scenarios.A channel model which includes Doppler frequency is developed to accurately represent the impact of user mobility on signal propagation. Under high mobility, the proposed scheme is able to effectively recover from the channel degradation caused by Doppler effect.The behavior of the proposed scheme is analyzed based on the large-scale Monte Carlo simulation in the parameters of Bit Error Rate (BER) and achievable rate under different signal-to-noise ratios and user velocities up to 250 km/h. The simulation results have shown that the dynamic IRS scheme performs significantly better than both the conventional static IRS and non-IRS system, with significantly lower BER and higher achievable rates in all the tested conditions. These results indicate the suitability of the proposed approach in ensuring stable and highly efficient communication in high-mobility settings, thus making it an excellent choice in next-generation 6G wireless systems.

Keywords: Intelligent Reflecting Surface (IRS), 6G, High Mobility, Doppler Effect, Dynamic IRS, Phase Adaptation, Bit Error Rate (BER), Achievable Rate.