Short-range wireless technologies will enable vehicles to communicate and coordinate their actions, thus improving people's safety and traffic efficiency. Whereas IEEE 802.11p (and related standards) had been the only practical solution for years, in 2016 a new option was introduced with Release 14 of long term evolution (LTE), which includes new features to enable direct vehicle-to-vehicle (V2V) communications. LTE-V2V promises a more efficient use of the channel compared to IEEE 802.11p thanks to an improved PHY layer and the use of orthogonal resources at the MAC layer. In LTE-V2V, a key role is played by the resource allocation algorithm and increasing efforts are being made to design new solutions to optimize the spatial reuse.In this context, an important aspect still little studied, is therefore that of identifying references that allow: 1) to have a perception of the space in which the resource allocation algorithms move; and 2) to verify the performance of new proposals. In this work, we focus on a highway scenario and identify two algorithms to be used as a minimum and maximum reference in terms of the packet reception probability (PRP). The PRP is derived as a function of various parameters that describe the scenario and settings, from the application to the physical layer. Results, obtained both in a simplified Poisson point process scenario and with realistic traffic traces, show that the PRP varies considerably with different algorithms and that there is room for the improvement of current solutions.

翻译：短距离无线通信技术将使车辆能够相互通信并协调行动，从而提升人员安全与交通效率。尽管IEEE 802.11p（及相关标准）多年来一直是唯一的实用解决方案，但2016年长期演进（LTE）第14版引入了新选项，其中包含支持直连车辆间（V2V）通信的新功能。相比IEEE 802.11p，LTE-V2V凭借改进的物理层和MAC层正交资源的使用，有望更高效地利用信道。在LTE-V2V中，资源分配算法扮演关键角色，且针对优化空间复用的新方案设计正日益增多。在此背景下，一个仍鲜少研究的重要方面是确定参考基准，以便：1）感知资源分配算法的运作空间；2）验证新方案的性能。本文聚焦高速公路场景，确定两种算法作为分组接收概率（PRP）的最小与最大参考基准。PRP被推导为描述场景与配置（从应用到物理层）的多个参数的函数。在简化的泊松点过程场景和真实交通轨迹下获得的结果表明，不同算法下的PRP差异显著，现有方案仍有改进空间。