论文标题

5G网络中的端到端V2X延迟建模和分析

End-to-End V2X Latency Modeling and Analysis in 5G Networks

论文作者

Coll-Perales, B., Lucas-Estañ, M. C., Shimizu, T., Gozalvez, J., Higuchi, T., Avedisov, S., Altintas, O., Sepulcre, M.

论文摘要

与以前的蜂窝技术相比,5G网络可提供更高的灵活性和提高性能。这已经提高了人们对使用车辆到网络(V2N)和V2N2V连接使用蜂窝网络支持高级V2X服务的可能性的期望。通过V2N/V2N2V通信替换直接的V2V连接来支持关键V2X服务,需要较低的V2N/V2N2V潜伏期。然后,有必要量化V2N和V2N2V连接可以实现超过5G端到端(E2E)连接的延迟值,但是这些取决于特定的5G网络部署和配置,并且相关研究的数量受到限制。本文通过引入一种新型的E2E延迟模型来量化5G V2N/V2N2V通信的延迟,从而取得了最新的发展。该模型包括单个MNO和多MNO方案的广播,传输,核心,互联网,互联网和应用程序服务器(AS)引入的延迟。本文估计了正在讨论或设想支持V2X服务的各种可能的5G网络部署的E2E延迟。这包括将V2X从网络边缘部署到云的可能性。该模型用于分析不同5G网络部署和配置对E2E延迟的影响。该分析有助于确定哪些5G网络部署和配置更适合满足V2X延迟要求。进行的分析强调了集中式网络部署的挑战,该网络部署将V2X定位为云,以满足高级V2X服务的延迟要求。将V2X定位为靠近细胞边缘会降低潜伏期。但是,它需要更高数量的屁股,并且需要对网络及其配置进行仔细的尺寸,以确保足够的网络,并且随着资源专用为V2X流量服务。

5G networks provide higher flexibility and improved performance compared to previous cellular technologies. This has raised expectations on the possibility to support advanced V2X services using the cellular network via Vehicle-to-Network (V2N) and V2N2V connections. Replacing direct V2V connections by V2N/V2N2V communications to support critical V2X services requires low V2N/V2N2V latencies. It is then necessary to quantify the latency values that V2N and V2N2V connections can achieve over 5G end-to-end (E2E) connections, but these depend on the particular 5G network deployments and configurations and to date the number of related studies is limited. This paper progresses the state-of-the-art by introducing a novel E2E latency model to quantify the latency of 5G V2N/V2N2V communications. The model includes the latency introduced at the radio, transport, core, Internet, peering points and application server (AS) for single MNO and multi-MNO scenarios. This paper estimates the E2E latency for a large variety of possible 5G network deployments that are being discussed or envisioned to support V2X services. This includes the possibility to deploy the V2X AS from the edge of the network to the cloud. The model is utilized to analyze the impact of different 5G network deployments and configurations on the E2E latency. The analysis helps identify which 5G network deployments and configurations are more suitable to meet V2X latency requirements. The conducted analysis highlights the challenge for centralized network deployments that locate the V2X AS at the cloud to meet the latency requirements of advanced V2X services. Locating the V2X AS closer to the cell edge reduces the latency. However, it requires a higher number of ASs and also a careful dimensioning of the network and its configuration to ensure sufficient network and AS resources are dedicated to serve the V2X traffic.

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