Performance Analysis of C-V2X Resource Allocation in an Urban Vehicular Network

Abstract

This paper discusses the performance of a Cellular-Vehicle to Everything (C-V2X) in an urban vehicular network focusing on the Fifth Generation New Radio (5G NR). Urban areas with high volume of vehicles not only cause traffic jams and accidents but also affect the C-V2X communication. It requires a lot of resources and sometimes causes problems if resources are not well allocated. Limited resources need to be allocated efficiently to meet different needs and avoid congestion such as, Quality of Service (QoS), latency, and data rates. The main goal of this paper is to investigate the performance of C-V2X schedulers in the vehicular network. The objectives include developing a model of C-V2X network that includes Resource Allocation (RA) schedulers, assessing the schedulers in the model, and validating the performance of the RA schedulers. The system-level simulator has been deployed to evaluate the performance of the C-V2X communication with different schedulers for RA. The performance was analysed in terms of throughput and delay which were studied through simulation work conducted using OMNET++ with Simu5G framework. The results show that Deficit Round Robin (DRR) is better than Maximum Carrier to Interference Ratio (MAXCI) and Proportional Fair (PF) with 1.345% throughput and 0.033% delay. Therefore, it can be concluded that DRR scheduler has the best performance in terms of throughput and delay for VoIP traffic.