6G车联网中的通感算融合:现状与挑战  

Integration of Sensing, Communication, Computing for 6G Internet of Vehicles:Current Status and Challenges

作　　者：董梦圆 付宇钏 牛晓健 DONG Mengyuan;FU Yuchuan;NIU Xiaojian(State Key Laboratory of Integrated Services Networks,Xidian University,Xi’an 710071,China;Research Institute of Smart Transportation,Xidian University,Xi’an 710071,China)

机构地区：[1]西安电子科技大学综合业务网理论及关键技术国家重点实验室,陕西西安710071 [2]西安电子科技大学智慧交通研究院,陕西西安710071

出　　处：《无线电通信技术》2023年第1期37-45,共9页Radio Communications Technology

基　　金：国家重点研发计划(2020YFB1807700);国家自然科学基金(62231020)。

摘　　要：车联网通信-计算融合对满足高可靠低时延的应用需求具有重要意义。面对无人驾驶等新兴智能服务对多极致性能的需求,探究6G车联网中的感知-通信-计算融合体系,打破感知、通信、计算三大资源的独立分治局面,实现资源灵活互通与统筹管理,对智能交通的发展具有重大意义。首先,回顾了车联网中通信、计算技术的发展;然后,针对系统架构和关键技术两个方向对现有车联网通信-计算融合的相关工作进行了回顾和整理;最后,分析了6G车联网中通感算融合的未来应用及挑战,为车联网感知-通信-计算融合方向的研究提供参考。The integration of communication and computing is significant to meet application requirement of high reliability and low latency in vehicular networks. Considering the demand for multi-extreme performance of emerging intelligent services such as autonomous driving, this paper breaks the independent division of sensing, communication and computing resources, explores the system of the integration of sensing, communication and computing for 6G internet of vehicles, and achieves flexible interoperability and overall management of resources, which is of great significance to the development of intelligent transportation. First, the development of communication and computation technologies in vehicular networks is reviewed. Then, the related works on integration of communication and computing are reviewed from two directions: system architecture and key technologies in vehicular networks. Finally, future applications and challenges of integration of sensing, communication and computing for 6G internet of vehicles are analyzed, which provides a reference for the research on the integration of sensing, communication and computing in vehicular networks.

关 键 词：6G 车联网 通信-计算融合 感知-通信-计算融合 

分 类 号：TN919.1[电子电信—通信与信息系统]