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Cooperative resource management for C-V2I communications in a dense urban environment

机译：密集城市环境中C-V2I通信的合作资源管理

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摘要

Cellular-based vehicle-to-everything (C-V2X) is one of the emerging and promising techniques to support vehicular communications by enabling both safety-critical and non-safety services. C-V2X communications is a core solution to manage and advance future traffic safety and mobility. In this paper, we design a cellular-based vehicle-to-infrastructure (V2I) communications model for a Manhattan dense urban environment that has many roads deployed in the cell edge region, which results in severe co-channel interference (CCI). Thus, we aim to utilize two cooperative interference management schemes such as dynamic inter-cell interference coordination (ICIC) and coordinated multipoint (CoMP) to mitigate interference and to improve communication reliability. We evaluate the performance of the interference management schemes based on various performance indexes, such as vehicle UE average throughput, vehicle UE received interference, and vehicle UE outage probability. By effectively implementing the dynamic ICIC scheme, we achieve an immense reduction in CCI, which results in the improvement of user (UE) received signal quality. Moreover, we employ coordinated scheduling (CS) CoMP scheme to further mitigate the interference among cells. Finally, by implementing both dynamic ICIC and CS CoMP schemes simultaneously, a meaningful level of performance enhancement is achieved. (c) 2020 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
机译：基于蜂窝的车辆 - 一切（C-V2X）是通过实现安全关键和非安全服务来支持车辆通信的新兴和有希望的技术之一。 C-V2X通信是管理和推进未来交通安全和移动性的核心解决方案。在本文中，我们设计了一种用于曼哈顿密集城市环境的蜂窝基础设施（V2I）通信模型，该城市环境有许多部署在细胞边缘区域的道路，这导致严重的共信道干扰（CCI）。因此，我们的目标是利用两个协作干扰管理方案，例如动态间干扰协调（ICIC）和协调的多点（COMP）来减轻干扰并提高通信可靠性。我们评估基于各种性能指标的干扰管理方案的性能，例如车辆UE平均吞吐量，车辆UE接收干扰，以及车辆UE停电概率。通过有效地实现动态ICIC方案，我们实现了CCI的巨大减少，这导致用户（UE）接收信号质量的改进。此外，我们采用协调调度（CS）COMP方案来进一步减轻细胞之间的干扰。最后，通过同时实现动态ICIC和CS COMP方案，实现了有意义的性能增强级别。 （c）2020提交人。由elsevier Inc.发布这是CC下的开放式访问文章（http://creativecommons.org/licenses/by/4.0/）。

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