C-V2X的跨层性能评估
Cross-Layer Performance Evaluation of C-V2X
AI总结：
针对车辆动态性导致V2X性能评估复杂的问题，研究团队构建了融入ITS场景、具备PHY与RRC跨层评估能力的系统级仿真器，并报告了MCS的实现进展。
摘要：
随着自动驾驶汽车日益融入日常生活，车联网（V2X）通信正成为关键支撑技术之一。然而，车辆的动态性（成因之一是车辆移动性）往往让V2X系统的性能评估变得更为复杂。我们一直在构建一款专用于评估V2X通信性能的系统级仿真器。该仿真器的核心特点包括：（i）地理场景中融入智能交通系统（ITS）场景，以及（ii）具备物理层（PHY）与无线资源控制（RRC）跨层性能评估能力。本摘要特别报告了我们在调制编码方案（MCS）方面的实现进展。
英文摘要：
As self-driving cars increasingly penetrate our daily lives, vehicle-to-everything (V2X) communications are emerging as one of the key enabler technologies. However, the dynamicity of vehicles (one of whose causes is the mobility of vehicles) often complicates it even further to evaluate the performance of a V2X system. We have been building a system-level simulator dedicated to assessing the performance of V2X communications. We highlight that the simulator features the incorporation of (i) intelligent transportation system (ITS) scenarios in geographical setup and (ii) physical (PHY) and radio resource control (RRC) cross-layer performance evaluation capability. In particular, this abstract reports the status of our implementation of the modulation and coding scheme (MCS).
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
