Performance Analysis of RIS/STAR-IOS-aided V2V NOMA/OMA Communications over Composite Fading Channels

TL;DR

This paper analyzes the performance of RIS and STAR-IOS-assisted V2V communications under NOMA and OMA schemes over composite fading channels, deriving key performance metrics and demonstrating significant improvements in ITS applications.

Contribution

It provides a comprehensive analytical framework for evaluating RIS/STAR-IOS-assisted V2V communication performance, including outage probability, ergodic capacity, and energy efficiency, under composite fading conditions.

Findings

RIS/STAR-IOS significantly enhances V2V communication performance.

NOMA outperforms OMA in outage probability, capacity, and energy efficiency.

Analytical results closely match Monte-Carlo simulations.

Abstract

This paper investigates the performance of vehicleto-vehicle (V2V) communications assisted by a reconfigurable intelligent surface (RIS) and a simultaneous transmitting and reflecting intelligent omni-surface (STAR-IOS) under nonorthogonal multiple access (NOMA) and orthogonal multiple access (OMA) schemes. In particular, we consider that the RIS is close to the transmitter vehicle while the STAR-IOS is near the receiver vehicles. In addition, we assume that the STAR-IOS exploits the energy-splitting (ES) protocol for communication and the fading channels between the RIS and STAR-IOS follow composite Fisher-Snedecor F distribution. Under such assumptions, we first use the central limit theorem (CLT) to derive the PDF and the CDF of equivalent channels at receiver vehicles, and then, we derive the closed-form expression of outage probability (OP) under NOMA/OMA scenarios. Additionally, by exploiting Jensen's inequality, we propose an upper bound of the ergodic capacity (EC), and then, we derive an analytical expression of the energy efficiency (EE) for both NOMA and OMA cases. Further, our analytical results, which are double-checked with the Monte-Carlo simulation, reveal that applying RIS/STAR-RIS in V2V communications can significantly improve the performance of intelligent transportation systems (ITS). Besides, the results indicate that considering the NOMA scheme provides better performance in terms of the OP, EC, and EE as compared with the OMA case for the considered V2V communication.