摘要
随着高速通信与协同驾驶技术的出现,智能网联汽车行业飞速发展。5G智能网联车辆的使用与普及可以在降低交通事故率的同时,极大地缓解交通拥堵。然而,复杂多变的交通环境对车辆感知与计算的数据需求量庞大,单个车辆的通信与计算能力有限,无法满足海量数据的处理要求。课题组基于移动边缘计算构建车辆网络模型,融合博弈论思想,设计资源分配和任务卸载的联合最优方案,构建集安全性和稳定性于一体的5G智能网联汽车服务平台。
With the emergence of high-speed communication and cooperative driving technology,intelligent connected automobile industry is developing rapidly.The use and popularization of 5G intelligent connected vehicles can greatly ease traffic congestion while reducing traffic accident rate.However,the complex and changeable traffic environment has a huge demand for vehicle perception and computing data,and the communication and computing capacity of a single vehicle is limited,which cannot meet the requirements of massive data processing.The reserach group builds a vehicle network model based on mobile edge computing,integrates game theory,designs joint optimal schemes for resource allocation and task unloading,and builds a 5G intelligent connected vehicle service platform integrating security and stability.
作者
李沁颖
易豪
孙翊馨
Li Qinying;Yi Hao;Sun Yixin(Jiangxi University of Technology,Jiangxi Nanchang 330200)
出处
《南方农机》
2022年第11期24-26,32,共4页
基金
江西省教育厅科学技术研究项目“融合移动边缘计算的5G智能网联汽车资源调度和任务卸载”(GJJ212023)
江西科技学院协同创新中心平台开放基金项目“驾驶环境感知下基于关键帧降维的驾驶员行为分析与决策研究”(XTCX2015)。
关键词
协同驾驶
移动边缘计算
博弈论
5G智能网联车辆
cooperative driving
moving edge calculation
game theory
5G smart connected vehicles
