移动通信2023，Vol.47Issue(12)：29-33,5.DOI:10.3969/j.issn.1006-1010.20230320-0003
一种面向车联网网络切片的资源分配方案
A Resource Allocation Scheme for Network Slicing in Vehicle Networking
摘要
Abstract
To meet the diverse Quality of Service(QoS)requirements of different applications in the Internet of Vehicles(IoV),a resource allocation scheme is proposed based on deep reinforcement learning.According to the requirements of IoV services on the latency and data transmission rate,the IoV services are categorized into two slicing modes.Slice 1 corresponds to the services on the Vehicle-to-Vehicle(V2V)links with low-latency requirements,while Slice 2 corresponds to the services on the Vehicle-to-Infrastructure(V2I)links with high data transmission rate requirements.By designing the action space,state space,and reward function,a network is trained to dynamically adjust in real-time within the IoV environment to provide the current optimal resource allocation strategy.The designed network can enhance the data transmission rate for Slice 2 while ensuring the latency constraints for Slice 1.This addresses the resource allocation problems in the IoV based on V2V and V2I communications.关键词
车联网/资源分配/网络切片/时延/吞吐量Key words
Internet of Vehicles/resource allocation/network slicing/delay/throughput分类
信息技术与安全科学引用本文复制引用
苏畅,叶亮,陈舒怡,孟维晓,王德昊..一种面向车联网网络切片的资源分配方案[J].移动通信,2023,47(12):29-33,5.基金项目
国家自然青年科学基金项目"6G物理层人工智能技术边界问题分析与普适性机理研究"(62201176) （62201176）
青年人才托举工程"寒地泛在智联技术及应用"(YESS20210339) （YESS20210339）
中国博士后特别特别资助(站前)"基于深度学习的端对端通信系统设计及关键技术研究"(2021TQ0092) （站前）
黑龙江省博士后面上资助"免基础设施的5G移动捎带农业智联技术"(LBH-Z21001) （LBH-Z21001）
