信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2026, Vol. 52 ›› Issue (9): 20-28.doi: 10.12267/j.issn.2096-5931.2026.09.003

专题:通信-计算-控制融合创新发展 上一篇    下一篇

5G-A驱动通信与智能融合应用新范式*

New application paradigms of communication-intelligence convergence driven by 5G-A

崔镇东1,2, 刘笑雨3, 高晖1,4   

  1. 1 北京邮电大学可信分布式计算与服务教育部重点实验室, 北京 100876
    2 北京邮电大学国家卓越工程师学院, 北京 100876
    3 中国信息通信研究院无线电研究中心, 北京 100083
    4 北京邮电大学信息与通信工程学院, 北京 100876
  • 收稿日期:2026-08-23 出版日期:2026-09-25 发布日期:2026-09-30
  • 通讯作者: 刘笑雨
  • 作者简介:
    崔镇东,北京邮电大学国家卓越工程师学院与可信分布式计算与服务教育部重点实验室硕士研究生在读,主要研究方向为卫星互联网、5G-A、天地一体化移动通信网络;
    高晖,北京邮电大学信息与通信工程学院与可信分布式计算与服务教育部重点实验室副教授,主要研究方向为毫米波大规模天线系统、智能反射面通信、智能无线通信与网络、通信感知一体化
  • 基金资助:
    *移动信息网络国家科技重大专项资助项目(2024ZD1300300)

CUI Zhendong1,2, LIU Xiaoyu3, GAO Hui1,4   

  1. 1 Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing 100876, China
    2 Graduate College for Engineers, Beijing University of Posts and Telecommunications, Beijing 100876, China
    3 Radio Research Center, China Academy of Information and Communications Technology, Beijing 100083, China
    4 School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2026-08-23 Online:2026-09-25 Published:2026-09-30
  • Contact: LIU Xiaoyu

摘要:

5G-A与人工智能(Artificial Intelligence, AI)的深度融合正成为推动行业智能化转型的重要驱动力。围绕通信与智能融合的发展趋势,基于“通信-数据-算力-智能”协同演进视角,系统梳理5G-A与AI融合的理论体系和应用场景,重点分析工业制造、智能交通等领域的融合应用新范式。在此基础上,结合当前产业发展现状,进一步研判5G-A与AI融合在通信网络能力、边缘智能、行业协同及产业生态等方面的发展趋势。5G-A与AI融合将推动行业终端由“连接型设备”向“智能化终端”演进,并加速通信网络从“数据传输基础设施”向“智能服务基础设施”升级,为数字经济与实体经济的深度融合提供重要支撑。

关键词: 5G-A, AI, 行业应用范式, 通信智能融合

Abstract:

The deep integration of 5G-Advanced (5G-A) and Artificial Intelligence (AI) is emerging as a key driving force behind industrial intelligent transformation. Focusing on the development trends of communication-intelligence convergence, this paper systematically reviews the theoretical framework and application scenarios of 5G-A and AI integration from the perspective of the coordinated evolution of communication-data-computing-intelligence. It further examines emerging integrated application paradigms in representative sectors such as industrial manufacturing and intelligent transportation. Building on the current state of industrial development, the paper also provides a forward-looking analysis of future trends in network capability evolution, edge intelligence, industry collaboration, and ecosystem development driven by the integration of 5G-A and AI. This study argues that the convergence of 5G-A and AI will accelerate the evolution of industrial terminals from “connected devices” to “intelligent terminals”, while promoting the transformation of communication networks from “data transmission infrastructure” toward “intelligent service infrastructure”, thereby providing important support for the deep integration of the digital economy and the real economy.

Key words: 5G-A, AI, industrial application paradigms, communication-intelligence convergence

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