基于计算控制通信融合的车联网资源协同优化技术研究

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。

Research on collaborative resource optimization technology based on convergence of computing,control and communication in Internet of vehicles

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.