Maximum Response Mechanism in Vehicular Cooperative Caching for C-V2X Networks

Zhiwei Qiu, Tianwu Lin, Zhexin Xu, Min Xiao
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Abstract

In the existing urban traffic scenarios, in order to realize the high request response rate and low response delay of V2V communication in the highly dynamic vehicle topology and reduce the response burden of vehicles, the influencing factors of request response rate in vehicle communication are studied, and the influence laws of vehicle file cache capacity, response times and traffic density on request response rate are summarized. We proposed the maximum response mechanism in vehicle Cooperative Cache in C-V2X network, and designed the maximum response algorithm (MRA). Firstly, the base station integrates and allocates the requests and responses of vehicles, sorts them according to the number of requests, and constructs a total request table. Vehicles respond according to the total request table. The whole process is coordinated by the base station and vehicle nodes. In comparison with other response algorithms, the MRA can achieve higher request response rate when the file cache capacity and response times of the vehicle are less and the traffic density is sparse, and the response burden of the vehicle is the smallest.
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C-V2X网络车辆协同缓存的最大响应机制
在现有的城市交通场景中,为了在高度动态的车辆拓扑中实现V2V通信的高请求响应率和低响应延迟,减轻车辆的响应负担,研究了车辆通信中请求响应率的影响因素,总结了车辆文件缓存容量、响应时间和交通密度对请求响应率的影响规律。提出了C-V2X网络中车辆协同缓存的最大响应机制,设计了最大响应算法(MRA)。首先,基站对车辆的请求和响应进行整合和分配,并根据请求数量进行排序,构建请求总数表。车辆根据总请求表作出响应。整个过程由基站节点和车载节点协调完成。与其他响应算法相比,当车辆的文件缓存容量和响应次数较少,交通密度稀疏,车辆的响应负担最小时,MRA可以实现更高的请求响应率。
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