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计算机系统应用英文版:2021,30(2):132-139
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基于LTE-V车辆密集场景的车联网资源分配算法
(长安大学 信息工程学院, 西安 710064)
V2X Resource Allocation Algorithm for Vehicle Dense Scene Based on LTE-V
(School of Information Engineering, Chang’an University, Xi’an 710064, China)
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Received:June 22, 2020    Revised:July 21, 2020
中文摘要: LTE-V可以为车辆提供可靠、高效的通信能力. 在LTE-V中, 车辆用户(Vehicle User Equipment, VUE)有集中式(Mode 3)和分布式(Mode 4)两种通信模式. 针对密集场景中两种模式由于VUE数目过多产生的数据包碰撞问题, 本文依据通信时延、距离等指标对车联网应用进行划分, 提出一种车辆自主调度算法, 使不同应用按自身性能要求选择合适的通信模式进行通信, 以减轻密集场景下的车联网资源分配压力. 通过搭建Matlab仿真平台验证算法性能, 结果表明, VUE使用车辆自主调度算法在密集场景下的数据包投递率(Packet Delivery Ratio, PDR)能够保持在0.6以上, 优于单一通信模式下的主流资源调度算法.
Abstract:LTE-V2X can provide vehicles with reliable and efficient communication capabilities. In LTE-V2X, Vehicle User Equipment (VUE) has two communication modes: centralized scheduling (Mode 3) and distributed scheduling (Mode 4). Aiming at the packet collision caused by excessive VUEs in the vehicle dense scenes, in this study, we classify the V2X applications according to such indices as communication delay and distance and propose an autonomous vehicle scheduling algorithm. In this way, different V2X applications can choose an appropriate communication mode according to their own performance requirements, alleviating the pressure of V2X resouce allocation in the dense scenes. Furthermore, we build a Matlab simulation platform to verify the performance of the proposed algorithm. The simulation results show that the proposed algorithm can keep the Packet Delivery Ratio (PDR) above 0.6 in dense scenes, superior to the mainstream resource scheduling algorithms in a single communication mode.
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基金项目:国家重点研发计划(2018YFB1600604); 陕西省重点研发计划(2018ZDCXL-GY-05-01); 中央高校基本科研业务费(300102249503)
引用文本:
惠飞,唐书宇,邢美华,郭静.基于LTE-V车辆密集场景的车联网资源分配算法.计算机系统应用,2021,30(2):132-139
HUI Fei,TANG Shu-Yu,XING Mei-Hua,GUO Jing.V2X Resource Allocation Algorithm for Vehicle Dense Scene Based on LTE-V.COMPUTER SYSTEMS APPLICATIONS,2021,30(2):132-139