论文标题
MEC增强信息的安全性C-V2X通信的新鲜感
MEC-enhanced Information Freshness for Safety-critical C-V2X Communications
论文作者
论文摘要
信息新鲜度是对几个实时应用程序（例如连接和自动驾驶）最重要的状态更新及时性指标。 ageof-信息（AOI）度量被广泛认为是量化向相关实体传递消息的新鲜信息的有用的。最近，多访问边缘计算（MEC）的出现承诺为车辆到全部用途（V2X）通信提供了一些性能好处，强调了经验丰富的端到端（E2E）消息延迟。在本文中，我们认为，当涉及至关重要的用例，例如脆弱的道路用户之一（VRU）时，在密集的城市环境中评估和解决可扩展性问题的其他指标可能更有见识。特别是，可以通过利用AOI指标来直接评估数据包间隔时间对到达附近车辆的及时性的影响。 For that purpose, assuming a MEC-enabled multi-VRU system setting, we model the AoI and, by means of a performance comparison to the state-of-the-art network architecture based on numerical evaluations, we provide evidence of the information freshness and system scalability enhancements offered by MEC infrastructure deployment for different system parameter settings involving a large number of connected entities.
Information freshness is a status update timeliness indicator of utmost importance to several real-time applications, such as connected and autonomous driving. The Ageof- Information (AoI) metric is widely considered as useful to quantify the information freshness of delivered messages to the involved entities. Recently, the advent of Multi-access Edge Computing (MEC) promises several performance benefits for Vehicular-to-Everything (V2X) communications, emphasizing on the experienced End-to-End (E2E) message delay. In this paper, we argue that, when it comes to safety-critical use cases, such as the one of Vulnerable Road User (VRU), additional metrics can be more insightful to evaluate and address scalability issues in dense urban environments. In particular, the impact of the packet inter-arrival time on the timeliness of VRU messages arriving at nearby vehicles can be directly assessed by exploiting the AoI metric. For that purpose, assuming a MEC-enabled multi-VRU system setting, we model the AoI and, by means of a performance comparison to the state-of-the-art network architecture based on numerical evaluations, we provide evidence of the information freshness and system scalability enhancements offered by MEC infrastructure deployment for different system parameter settings involving a large number of connected entities.
