Enhancing V2X QoS: A Dual Approach of Packet Duplication and Dynamic RAN Slicing in B5G

The advent of the Fifth Generation (5G) and Beyond (B5G) mobile communications has led to the emergence of novel vertical services, necessitating the reconfiguration of network architecture to address stringent Quality of Service (QoS) demands, while simultaneously supporting reliable Vehicle-to-everything (V2X) communications. In this paper, our primary focus lies in enhancing the QoS of V2X applications utilizing Open Radio Access Network (O-RAN) architecture. To this end, we propose a novel optimization framework that creates dynamic RAN slicing covering tailored functional split selection per slice, and Multi-access Edge Computing (MEC) server placement within O-RAN architecture. In addition, Packet Duplication (PD) techniques are used in the proposed work to enhance V2X application reliability. First, we define the proposed problem as convex and linear, and then we use Benders a distributed technique that accelerates performance while ensuring the global optimal solution. The approach is validated through simulations, which demonstrate its capability to meet the QoS requirements of V2X applications and outperform existing methods. According to the results, there is a trade-off between the achieved throughput and the extra overhead due to replicated packets which incurs extra resources such as radio and computation to the network. For example, our approach can reach up to 42% increases in the served demand at the expense of 6% more spectrum usage when compared to the literature.