Performance Analysis of RIS-Aided High-Mobility Wireless Systems

TL;DR

This paper demonstrates that RIS technology significantly improves high-mobility wireless systems, especially for high-speed trains, by optimizing phase shifts and beamforming to enhance channel gain and reliability.

Contribution

It introduces a joint optimization algorithm for RIS phase shifts and beamforming in high-speed train MISO systems, showing substantial performance gains over traditional methods.

Findings

Achieves 15 dB average channel gain improvement.

Eliminates outage probability in high-mobility scenarios.

Enhances key metrics like rate, capacity, and BER.

Abstract

Reconfigurable intelligent surface (RIS) technology holds immense potential for increasing the performance of wireless networks. Therefore, RIS is also regarded as one of the solutions to address communication challenges in high-mobility scenarios, such as Doppler shift and fast fading. This paper investigates a high-speed train (HST) multiple-input single-output (MISO) communication system aided by a RIS. We propose a block coordinate descent (BCD) algorithm to jointly optimize the RIS phase shifts and the transmit beamforming vectors to maximize the channel gain. Numerical results are provided to demonstrate that the proposed algorithm significantly enhances the system performance, achieving an average channel gain improvement of 15 dB compared to traditional schemes. Additionally, the introduction of RIS eliminates outage probability and improves key performance metrics such as achievable rate, channel capacity, and bit error rate (BER). These findings highlight the critical role of RIS in enhancing HST communication systems.