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2026 7 7-11
基于动态资源分配的C⁃V2X拥塞控制策略
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DOI: 10.16652/j.issn.1004⁃373x.2026.07.002
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摘要:

蜂窝车联网(C⁃V2X)技术作为下一代智能交通系统的重要组成部分,提升了车辆间的通信效率和安全性。然而,现有的消息访问机制在高密度条件下容易产生冲突并导致传输失效。鉴于此,文中提出一种D⁃SPS的信道资源分配策略,专注于高密度情况下的拥塞控制。该策略根据车道路段进行带状分簇,并依据集群内节点密度进行通信资源的动态分配,在一定程度上缓解了各车道节点密度在特定时间段分布不均匀导致的拥塞问题。另外,在上述策略的基础上,进一步完善车道簇头选举策略,以降低选举开销,提高集群稳定性。建模计算和数值比较结果表明,所提出的优化策略能够较为有效地降低当前Mode2机制的信道拥塞,并且在高密度数据交互场景下,对安全信标的传输时效性和高比特率信息的包投递率性能有着较为不错的提升。

Abstract:

Cellular vehicle ⁃ to ⁃ everything (C ⁃ V2X) technology, as an integral part of the next generation intelligent transportation system (ITS), is committed to improving the communication efficiency and safety between vehicles. However, the existing access mechanisms of traffic message are prone to conflict and will cause transmission failure in the case of time⁃varying vehicle density. In view of the above, this paper proposes an information channel resource allocation strategy named dynamic semi⁃persistent scheduling (D⁃SPS), which focuses on the message congestion control of heavy traffic in the existing urban roads. In this strategy, a road⁃section⁃based ribbon clustering scheme is performed and the communication resources are allocated dynamically according to the node density within the relevant cluster, which to a certain extent alleviates the congestion caused by uneven distribution of node density in each lane during a specific time period. In addition, the lane cluster head election strategy is further improved on the basis of the above strategies, so as to reduce the election cost and improve the stability of the cluster. The results of modeling calculation and numerical comparison show that the proposed strategy can effectively reduce access congestion of current Mode 2 mechanism. In addition, the transmission timeliness of security beacons and the packet delivery ratio (PDR) of the information with high bit rate have been improved significantly in the scene of high⁃density data interaction.

参考文献

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基本信息:

DOI:10.16652/j.issn.1004⁃373x.2026.07.002

引用信息:

[1]陈 潭,江晓明,丛滢淇,等.基于动态资源分配的C⁃V2X拥塞控制策略[J],2026,49(7):7-11.DOI:10.16652/j.issn.1004⁃373x.2026.07.002.

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