基于计算控制通信融合的车联网资源协同优化技术研究

doi:10.11959/j.issn.1000-0801.2023090

摘要/Abstract

摘要：

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。

关键词: 车联网, 控制与通信融合, 多维资源管理, 自动驾驶, 高动态

Abstract:

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.

Key words: Internet of vehicles, convergence of control and communication, multi-dimensional resource managemen, autonomous driving, high dynamics

中图分类号:

TP393

张志龙, 张天琦, 李雪菲, 刘丹谱. 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, Danpu LIU. 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.

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研究方向	现有方案不足	所提方案和思路
行驶控制与无线资源协同优化	针对具体控制场景，未考虑多种控制类业务统一化建模及通信控制耦合关系分析	基于控制类业务通用模型，分析通信不理想因素对控制性能的影响，并结合稳定控制和预测控制模型优化多维资源分配
高动态场景下的跨域资源协同优化	未区分与联合考虑移动性可控制和移动性可感知的多维资源协同优化	聚焦高动态的网络特征，感知普通车辆的移动性，调控自动驾驶车辆轨迹和间距，并展望了高动态环境下的多播分组和资源优化技术
面向差异化业务需求的资源协同优化	较少考虑差异化业务并存时的资源竞争关系及网络切片中的多维资源配置问题	聚焦差异化业务并存的需求特征，基于资源切片、差异化接入、动态优先级划分等技术，展望了资源和需求动态匹配的用户接入以及切片间/切片内的分级调度技术