Recent advancements in V2X communications have greatly increased the flexibility of the physical and medium access control (MAC) layers. This increases the complexity when investigating the system from a network perspective to evaluate the performance of the supported applications. Such flexibility needs in fact to be taken into account through a cross-layer approach, which might lead to challenging evaluation processes. As an accurate simulation of the signals appears unfeasible, a typical solution is to rely on simple models for incorporating the physical layer of the supported technologies, based on off-line measurements or accurate link-level simulations. Such data is however limited to a subset of possible configurations and extending them to others is costly when not even impossible. The goal of this paper is to develop a new approach for modelling the physical layer of vehicle-to-everything (V2X) communications that can be extended to a wide range of configurations without leading to extensive measurement or simulation campaign at the link layer. In particular, given a scenario and starting from results in terms of packet error rate (PER) vs. signal-to-interference-plus-noise ratio (SINR) related to a subset of possible configurations, we derive one parameter, called implementation loss, that is then used to evaluate the network performance under any configuration in the same scenario. The proposed methodology, leading to a good trade-off among complexity, generality, and accuracy of the performance evaluation process, has been validated through extensive simulations with both IEEE 802.11p and LTE-V2X sidelink technologies in various scenarios.
翻译:最近V2X通信的进展大大提高了实际和中等出入控制(MAC)层的灵活性,这在从网络角度对系统进行调查以评价所支持应用程序的性能时增加了复杂性。事实上,这种灵活性需要通过跨层次的方法加以考虑,这可能导致评估过程的挑战性。由于信号的准确模拟似乎不可行,典型的解决办法是依靠简单的模型,根据离线测量或准确的链接级模拟,纳入辅助技术的物理层。然而,这种数据仅限于可能的组合的子集,在甚至不可能的情况下将其扩大到其他配置是昂贵的。本文的目的是制定一种新的方法,用于模拟车辆到每个应用程序(V2X)的物理层,这可能会导致具有挑战性的评价过程的挑战性。 特别是,考虑到一种假设情况,以及从I的错误率(PER)和准确链接级模拟(SISNR)到可能配置的子组合(SINR)都是昂贵的。 本文的目标是制定一个新的方法,在80-TEE(VE)通信的物理层建模(V2)的物理层建模中建模(V2),我们用了一个广泛的计算方法来评估整个网络的精确度。