Reflecting Intelligent Surface Assisted Vehicular Communication Networks

Abstract

Reflecting intelligent surfaces (RISs) are one of the future technologies that can support the applications that require high data rates, high reliability and low latency by adjusting the amplitude and phase shift of the incoming signal. One of these applications is vehicle-to-everything (V2X) communication. In this paper, we integrate the active RIS with V2X and consider an uplink multiple vehicular network that interfere with each other. We maximize the achievable rate of a desired vehicle by optimizing the power of vehicles using linear fractional programming algorithm and by optimizing the phase shifts of the RIS. The performance of the system is measured in terms of the achievable rate and the outage probability. Numerical results show that the used optimization algorithms improve the system performance significantly and that the active RIS outperforms the passive RIS by increasing about 5% in the achievable rate and decreasing about 47% in the outage probability.