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Heterogeneous V2V Communications in Multi-Link and Multi-RAT Vehicular Networks

机译:多联机和多大型车辆网络中的异构V2V通信

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摘要

Connected and automated vehicles will enable advanced traffic safety and efficiency applications thanks to the dynamic exchange of information between vehicles, and between vehicles and infrastructure nodes. Connected vehicles can utilize IEEE 802.11p for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. However, a widespread deployment of connected vehicles and the introduction of connected automated driving applications will notably increase the bandwidth and scalability requirements of vehicular networks. This paper proposes to address these challenges through the adoption of heterogeneous V2V communications in multi-link and multi-RAT vehicular networks. In particular, the paper proposes the first distributed (and decentralized) context-aware heterogeneous V2V communications algorithm that is technology and application agnostic, and that allows each vehicle to autonomously and dynamically select its communications technology taking into account its application requirements and the communication context conditions. This study demonstrates the potential of heterogeneous V2V communications, and the capability of the proposed algorithm to satisfy the vehicles' application requirements while approaching the estimated upper bound network capacity.
机译:由于车辆之间的信息交换以及车辆和基础设施节点之间的动态交流,所连接和自动化车辆将实现高级交通安全和效率应用。连接的车辆可以利用用于车辆到车辆(V2V)和基础设施(V2I)通信的IEEE 802.11p。然而,连接的车辆的广泛部署和连接的自动化驾驶应用的引入将显着提高车辆网络的带宽和可扩展性要求。本文通过采用多联机和多大型车辆网络中的异构V2V通信,提出解决这些挑战。特别地,本文提出了第一分布式(和分散的)背景感知异构V2V通信算法,其是技术和应用程序不可知论者,并且允许每个车辆自主地和动态地选择其通信技术,以考虑其应用要求和通信上下文使适应。本研究表明异构V2V通信的潜力,以及所提出的算法能够满足车辆的应用要求的能力,同时接近估计的上限网络容量。

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