With technology and societal development, the 5th generation wireless communication (5G) contributes significantly to different societies like industries or academies. Vehicle-to-Everything (V2X) communication technology has been one of the leading services for 5G which has been applied in vehicles. It is used to exchange their status information with other traffic and traffic participants to increase traffic safety and efficiency. Cellular-V2X (C-V2X) is one of the emerging technologies to enable V2X communications. The first Long-Term Evolution (LTE) based C-V2X was released on the 3rd Generation Partnership Project (3GPP) standard. 3GPP is working towards the development of New Radio (NR) systems that it is called 5G NR V2X. One single numerology in LTE cannot satisfy most performance requirements because of the variety of deployment options and scenarios. For this reason, in order to meet the diverse requirements, the 5G NR Physical Layer (PHY) is designed to provide a highly flexible framework. Scalable Orthogonal Frequency-Division Multiplexing (OFDM) numerologies make flexibility possible. The term numerology refers to the PHY waveform parametrization and allows different Subcarrier Spacings (SCSs), symbols, and slot duration. This paper implements the Link-Level (LL) simulations of LTE C-V2X communication and 5G NR V2X communication where simulation results are used to compare similarities and differences between LTE and 5G NR. We detect the effect of variable PHY Numerologies of 5G NR on the LL performance of V2X. The simulation results show that the performance of 5G NR improved by using variable numerologies.

翻译：随着技术与社会的发展，第五代无线通信（5G）对工业、学术界等不同领域贡献显著。车联网（V2X）通信技术已成为5G的重要应用之一，被广泛应用于车辆中，用于与其他交通参与者交换状态信息，从而提升交通安全与效率。蜂窝车联网（C-V2X）是实现V2X通信的新兴技术之一。首个基于长期演进（LTE）的C-V2X标准由第三代合作伙伴计划（3GPP）发布。目前，3GPP正致力于开发新一代无线接入（NR）系统，即5G NR V2X。由于部署方案与场景的多样性，LTE中单一参数集无法满足大部分性能需求。为此，5G NR物理层（PHY）被设计为高度灵活的框架，通过可扩展的正交频分复用（OFDM）参数集实现灵活性。其中，“参数集”指代PHY波形参数化，允许使用不同的子载波间隔（SCS）、符号长度及时隙时长。本文通过链路级（LL）仿真对LTE C-V2X与5G NR V2X通信进行对比，分析两者异同，并检测5G NR可变PHY参数集对V2X链路级性能的影响。仿真结果表明，采用可变参数集可有效提升5G NR的性能。