基于车辆行为分析的车联网超可靠低时延通信关键技术

 

 

摘要：为解决车辆高速移动性导致的车联网超可靠低时延通信（URLLC）性能下降问题，提出了大数据驱动的车辆行为分析技术，并阐述了基于车辆行为分析的移动管理技术、资源分配技术和信息安全技术。认为车辆行为分析技术是实现URLLC的基础，移动管理技术是提高通信可靠性的重要手段，资源分配技术是降低通信时延的有效方法，信息安全技术是实现URLLC的前提和保障。
关键词：车联网；超可靠低时延通信；车辆行为分析；移动管理；资源分配；信息安全


Abstract：To alleviate the performance degradation of the vehicular networks caused by the high-speed mobility of vehicles in terms of ultra-reliable low-latency communication (URLLC), the mobile management technologies, resource management technologies and information security technologies based on vehicle behavior analysis are proposed. To achieve this, the data of vehicle behavior is first analyzed as the basis. Base on the analysis, mobility management technologies are analyzed to improve communication reliability, resource allocation technologies are done to reduce transmission delay, and information security technologies are proposed to assist the realization of URLLC
Keywords:Internet of Vehicles; URLLC; vehicle behavior analysis; mobility management; resource allocation; information security