DSRC和C-V2X通信的共存:竞争情景建模

Blanca Ramos Elbal, M. Rupp
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引用次数: 1

摘要

车载通信在过去几年稳步增长,在道路安全应用的发展中发挥了关键作用,帮助用户提高交通效率,或提供信息娱乐系统。有两种主要的支持车辆通信的无线接入技术(rat):专用短距离通信(DSRC)和蜂窝车辆到一切(C-V2X)标准。在其用例中,C-V2X技术允许用户之间的通信,即车对车(V2V)通信,以及车对基础设施(V2I)通信。在我们的工作中,我们的重点是通过V2V通信提高V2I链路的质量。我们使用空闲用户来增强来自基站(BS)的信号,从而提高整个网络的覆盖范围。此外,我们分析了两种标准共存的情况:蜂窝用户增强来自BS的信号,而DSRC用户在中继辅助链路中充当干扰。为了模拟DSRC用户的干扰,我们考虑了完美和不完美的载波感知多址(CSMA)。我们的场景是一个二维(2D)曼哈顿网格,其中基站、车辆用户和街道是随机放置的。我们利用随机几何(SG)的工具提供了直接链路和中继辅助链路各个部分的覆盖概率的解析表达式。为了验证我们的模型,我们将分析结果与蒙特卡罗系统级模拟进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coexistence of DSRC and C-V2X communication: modeling a competing scenario
Vehicular communications has steadily grown in the last years playing a key role in the development of road safety applications, assisting users to improve traffic efficiency, or providing infotainment systems. There are two main Radio access technologies (RATs) that support vehicular communications: the Dedicated Short Range Communication (DSRC) and the Cellular vehicle-to-everything (C-V2X) standard. Among its use cases, the C-V2X technology allows communication between users, that is, vehicle-to-vehicle (V2V) communication, but also the vehicle-to-infrastructure (V2I) communication. In our work, we focus on enhancing the quality of the V2I link through V2V communications. We use idle users to boost the signal coming from the Base Station (BS) and therefore to improve the coverage of the overall network. Furthermore, we analyze a scenario where both standards coexist: the cellular users enhance the signal from the BS while DSRC users act as interferes in the relay-assisted link. To model the interference of the DSRC users, we consider both perfect and imperfect Carrier Sense Multiple Access (CSMA). Our scenario is a 2-dimensional (2D) Manhattan grid where BSs, vehicular users, and streets are placed randomly. We provide analytical expressions of the coverage probability for the direct link and the individual parts of the relay-assisted link by leveraging tools from stochastic geometry (SG). We compare the analytical results to Monte Carlo system-level simulations in order to validate our model.
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