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Modeling and Analysis of Vehicle Safety Message Broadcast in Cellular Networks
IEEE Transactions on Wireless Communications ( IF 10.4 ) Pub Date : 2021-02-12 , DOI: 10.1109/twc.2021.3055837
Chang-Sik Choi , Francois Baccelli

This paper concerns the performance of vehicle-to-everything (V2X) communications. More precisely, we analyze the broadcast of safety-related V2X communications in cellular networks where base stations and vehicles are assumed to share the same spectrum and vehicles broadcast their safety messages to neighboring users. We model the locations of vehicles as a Poisson line Cox point process and the locations of users as a planar Poisson point process. We assume that users are associated with their closest base stations when there is no vehicle within a certain distance $\rho $ . On the other hand, users located within a distance $\rho $ from vehicles are associated with the vehicles to receive their safety messages. We quantify the properties of this vehicle-prioritized association using the stochastic geometry framework. We derive the fractions of users that receive safety messages from vehicles. Then, we obtain the expression for the signal-to-interference ratio of the typical user evaluated on each association type. To address the impact of vehicular broadcast on the cellular network, the paper also derives the effective rate offered to the typical user in this setting.

中文翻译:

蜂窝网络中车辆安全信息广播的建模与分析

本文涉及车对一切 (V2X) 通信的性能。更准确地说,我们分析了蜂窝网络中与安全相关的 V2X 通信的广播,其中假设基站和车辆共享相同的频谱,并且车辆向相邻用户广播其安全消息。我们将车辆的位置建模为泊松线 Cox 点过程,将用户的位置建模为平面泊松点过程。我们假设当一定距离内没有车辆时,用户与他们最近的基站相关联 $\rho $ . 另一方面,位于一定距离内的用户 $\rho $ 从车辆与车辆相关联以接收其安全消息。我们使用随机几何框架量化了这种车辆优先关联的属性。我们推导出从车辆接收安全信息的用户比例。然后,我们获得对每个关联类型评估的典型用户的信号干扰比的表达式。为了解决车载广播对蜂窝网络的影响,本文还推导出了在这种情况下提供给典型用户的有效速率。
更新日期:2021-02-12
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