6G数字孪生网络的原生设计:用例、架构、功能和关键技术

IF 8.9 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Guangyi Liu;Yanhong Zhu;Mancong Kang;Liexiang Yue;Qingbi Zheng;Na Li;Qixing Wang;Yuhong Huang;Xiaoyun Wang
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引用次数: 0

摘要

由于大规模部署、数百个参数、差异化场景以及与现有移动网络的互联互通,第五代移动网络(5G)的优化和运维复杂性高、成本高,因此第六代移动网络(6G)在部署之初就应支持高度自治。数字孪生网络(DTN)技术以其智能决策、低成本实验和预验证等优势,已成为自主网络的关键使能技术。为了满足2030年更多样化的场景和高度自治的灵活性需求,本文讨论了DTN的典型用例,并提出了一种创新的、原生的6G DTN设计,包括逻辑框架、架构、功能和部署模式。此外,介绍了高效的DTN模型构建和智能编排与管理,以实现全自动和高性能的DTN任务。最后,对DTN的未来研究方向进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Native Design for 6G Digital Twin Network: Use Cases, Architecture, Functions, and Key Technologies
The massive scale of deployment, hundreds of parameters, differentiated scenarios and interworking with existing mobile networks leads to high complexity and high cost of optimization, operation and maintenance of the 5th generation mobile network (5G), which inspires that 6th generation mobile network (6G) should support high level autonomy at the beginning of deployment. Digital twin network (DTN) technology, with its advantages of intelligent decision making, low-cost experimentation, and preverification, has emerged as a key enabling technology for autonomous network. To address the need for flexibility to fulfill more diverse scenarios and high-level autonomy toward 2030, this article discusses the typical usage cases of DTN, and proposes an innovative and native design for 6G DTN, encompassing logical framework, architecture, functions, and deployment modes. Furthermore, the efficient DTN Model Construction and Intelligent Orchestration and Management are introduced to enable fully automated and high-performance DTN tasks. Finally, the future direction for DTN research is presented.
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来源期刊
IEEE Internet of Things Journal
IEEE Internet of Things Journal Computer Science-Information Systems
CiteScore
17.60
自引率
13.20%
发文量
1982
期刊介绍: The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.
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