A Task-Driven Design Approach for 6G AI-Native Architecture

IF 11.6 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Xiaoyun Wang, Lu Lu, Qin Li, Qi Sun, Nanxiang Shi, Ziqi Chen, Tao Sun
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引用次数: 0

Abstract

The deep integration of mobile networks with artificial intelligence (AI) has emerged as a pivotal driving force for the sixth-generation (6G) mobile network. AI-native 6G represents a paradigm shift for mobile networks, as it not only embeds AI into network components to enhance network intelligence and automation but also transforms 6G into a foundational infrastructure for enabling pervasive AI applications and services. This paper proposes a novel 6G AI-native architecture. The challenges and requirements for the AI-native 6G mobile network are first analyzed, followed by the development of a task-driven approach for architecture design based on insights from system theory. Then, a 6G AI-native architecture is proposed, featuring the integration of distributed AI data and computing components with layered centralized collaborative control and flexible on-demand deployment. Key components and procedures for the 6G AI-native architecture are also discussed in detail. Finally, standardization practices for the convergence of mobile networks and AI in fifth-generation (5G) networks are analyzed, and an outlook on the standardization of AI-native design in 6G is given. This paper aims to provide not only theoretical insights into AI-native architecture design methodology but also a comprehensive 6G AI-native architecture that lays a foundation for the transition from mobile communications toward mobile information services in the 6G era.
6G ai原生架构的任务驱动设计方法
移动网络与人工智能(AI)的深度融合已成为第六代(6G)移动网络的关键推动力。原生人工智能6G代表了移动网络的范式转变,因为它不仅将人工智能嵌入到网络组件中以增强网络智能和自动化,而且还将6G转变为实现普及人工智能应用和服务的基础设施。本文提出了一种新颖的6G ai原生架构。首先分析了人工智能原生6G移动网络的挑战和需求,然后基于系统理论的见解开发了一种任务驱动的架构设计方法。然后,提出了一种6G AI原生架构,其特点是分布式AI数据和计算组件集成,分层集中协同控制,灵活按需部署。还详细讨论了6G ai原生架构的关键组件和程序。最后,分析了第五代(5G)网络中移动网络与人工智能融合的标准化实践,并对6G中人工智能原生设计的标准化进行了展望。本文旨在不仅提供关于ai原生架构设计方法的理论见解,还提供全面的6G ai原生架构,为6G时代从移动通信向移动信息服务的过渡奠定基础。
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来源期刊
Engineering
Engineering Environmental Science-Environmental Engineering
自引率
1.60%
发文量
335
审稿时长
35 days
期刊介绍: Engineering, an international open-access journal initiated by the Chinese Academy of Engineering (CAE) in 2015, serves as a distinguished platform for disseminating cutting-edge advancements in engineering R&D, sharing major research outputs, and highlighting key achievements worldwide. The journal's objectives encompass reporting progress in engineering science, fostering discussions on hot topics, addressing areas of interest, challenges, and prospects in engineering development, while considering human and environmental well-being and ethics in engineering. It aims to inspire breakthroughs and innovations with profound economic and social significance, propelling them to advanced international standards and transforming them into a new productive force. Ultimately, this endeavor seeks to bring about positive changes globally, benefit humanity, and shape a new future.
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