Simulation of NR-V2X in a 5G Environment using OMNeT++

Abstract

The advent of the 5G network provides reliable connectivity, higher throughput, better service quality and more efficient signaling. The network traffic load will continuously rise with more and more mobile users using internet services. In this context, there is a need to forecast wireless network traffic load to manage network resources efficiently and increase network resilience. However, with 5G being at its infancy stage, there is a lack of datasets available and consequently a lack of research on 5G traffic prediction related use cases. To overcome this challenge, simulation software can provide a way to generate 5G network traffic datasets. This paper proposes a simulation framework for New Radio Vehicle-to-Everything (NR-V2X) communications using the 5G simulator <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{OMNeT}++$</tex> with INET, Simu5G, and Veins modules. The performance of a VoIP uplink application is investigated over V2N in two scenarios, namely NRCar and Lumsden.