Addressing Control Challenges in Vehicular Networks Through O-RAN: A Novel Architecture and Simulation Framework

Direct communication among vehicles, namely vehicle-to-vehicle (V2V), as part of vehicle-to-everything (V2X) system, will enable most of the upcoming Connected and Autonomous Vehicles (CAVs) applications. Nevertheless, the challenging requirements imposed by the vehicular environment necessitate advanced control mechanisms. Traditional Radio Access Networks (RANs) lack the necessary flexibility to address these control needs. The emerging Open RAN (O-RAN) concept offers a promising solution for orchestrating the V2X network. However, the seamless integration of these ecosystems remains an unresolved challenge. This article promotes a novel integration architecture that ensures the V2X control within O-RAN. We propose a novel architecture that establishes a low frequencies O-RAN-based control plane to ensure reliable and efficient multi-hops connectivity among CAVs at millimeter wave (mmWave). To examine and test the technological feasibility of this integrated architecture, we extend current Network Simulator 3 (ns-3) modules, leading to a simulation framework for experimenting with O-RAN-empowered V2X system. Such an integrated framework is used to show the benefits in a specific V2V challenge: link and relays selection. This case study serves as a practical example of a new O-RAN solution that effectively addresses the challenges of V2X communications. Numerical results showcase the improved reliability up to 60% of the proposed xApp-controlled V2V network, with low latency and negligible overhead, when compared to distributed and unmanaged solutions, supporting the viability of the proposed architecture.