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[ "张志龙(1985- ),男,博士,北京邮电大学副教授、硕士生导师,主要研究方向为无线通信、网络多媒体与人工智能" ]
[ "张天琦(1999- ),女,北京邮电大学硕士生,主要研究方向为无线通信、车联网通信控制融合" ]
[ "李雪菲(1995- ),女,北京邮电大学博士生,主要研究方向为无线网络资源管理与优化、车联网通感融合、强化学习、图神经网络" ]
[ "刘丹谱(1972- ),女,博士,北京邮电大学教授、博士生导师,主要研究方向为 6G移动通信、空天地一体化网络与资源管理" ]
网络出版日期:2023-04,
纸质出版日期:2023-04-20
移动端阅览
张志龙, 张天琦, 李雪菲, 等. 基于计算控制通信融合的车联网资源协同优化技术研究[J]. 电信科学, 2023,39(4):17-30.
Zhilong ZHANG, Tianqi ZHANG, Xuefei LI, et al. Research on collaborative resource optimization technology based on convergence of computing, control and communication in Internet of vehicles[J]. Telecommunications science, 2023, 39(4): 17-30.
张志龙, 张天琦, 李雪菲, 等. 基于计算控制通信融合的车联网资源协同优化技术研究[J]. 电信科学, 2023,39(4):17-30. DOI: 10.11959/j.issn.1000-0801.2023090.
Zhilong ZHANG, Tianqi ZHANG, Xuefei LI, et al. Research on collaborative resource optimization technology based on convergence of computing, control and communication in Internet of vehicles[J]. Telecommunications science, 2023, 39(4): 17-30. DOI: 10.11959/j.issn.1000-0801.2023090.
车联网高度动态且业务种类多样,安全业务和非安全业务并存。如何同时满足差异化的业务需求,是车联网面临的重大挑战。分析了计算、控制与通信等要素在车联网中的融合方式,并指出以协同管理多维资源提升驾驶安全性和业务体验质量的必要性。针对业务特点分别介绍了面向自动驾驶的控制与通信融合机制、面向信息娱乐业务的计算与通信资源协同管理机制以及面向差异化业务并发的多维资源协同管理机制,最后基于相关挑战展望了该领域未来的技术发展趋势。
Internet of vehicles is highly dynamic and has diverse application types
including both security and non-security applications.How to satisfy differentiated requirements at the same time is one of the major challenges that Internet of vehicles face.Therefore
the convergence of computing
control and communication in Internet of vehicles was investigated
and the necessity of the collaborative management of multi-dimensional resources was outlined to improve both the driving safety and the quality of experience.Specifically
the control and communication convergence mechanism for autonomous driving
the computing and communication resource collaborative management mechanism for infotainment application
and the multi-dimensional resource collaborative management mechanism for differentiated application concurrency were introduced respectively according to the application characteristics.Finally
the technology development trend of this field was discussed based on related challenge analysis.
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