基于MEC的LTE-V2X业务连续性管理算法

Linhai Guo, Na Liu, Xinlei Li, Hankai Yang, W. Huang
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引用次数: 0

摘要

3GPP支持的LTE-V2X技术已逐渐成为车联网的国际主流通信标准,可为移动车载终端提供低时延、高覆盖、高容量的服务。然而,车联网的移动性管理仍然是一个巨大的挑战。为了解决这一问题,针对LTE-V2X部署了多址移动边缘计算(MEC)服务器,并根据部署模型提出了MEC业务迁移与切换(HO)的协同定时管理方法。其次,根据移动车载终端的行驶速度,采用模糊逻辑对触发时间(TTT)和迟滞因子(Hys)进行动态调整,有效地控制了HO的时间,在一定程度上避免了乒乓HO的发生。最后,结合熵权法(EWM)和灰色关联分析算法(GRA)进行HO决策,选择最佳目标进化节点B (eNB)进行HO决策,进一步提高了HO的成功率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Service Continuity Management Algorithm in LTE-V2X Assisted by MEC
The LTE-V2X technology supported by 3GPP has gradually become the international mainstream communication standard of internet of vehicles (IoV), which can provide mobile vehicle-mounted terminals with low delay, high coverage and high-capacity services. However, mobility management of IoV is still a huge challenge. In order to solve this problem, we deploying multi-access mobile edge computing (MEC) servers for LTE-V2X, and the collaborative timing management method of MEC service migration and handover (HO) is provided according to the deployment model, firstly. Secondly, the time to trigger (TTT) and hysteresis factor (Hys) are dynamically adjusted by fuzzy logic according to the driving speeds of the mobile vehicle-mounted terminals, which effectively controls the timing of HO and avoids the occurrence of ping-pong HO to a certain degree. Finally, the entropy weight method (EWM) and the grey relation analysis algorithm (GRA) are combined to make a HO decision, and the best target evolved node B (eNB) is selected for the HO, which further improves the success rate of the HO.
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