摘要
为满足不断增长的新型业务需求,促进通信技术与垂直行业深度融合,移动通信网络将逐渐向智能化演进,在6G时代有望形成内生智能。然而,目前研究大多侧重基于人工智能的传输和网络优化方法,较少探讨如何在架构设计层面高效支撑人工智能方法的实施。为此,介绍了目前工业界和学术界在智能内生网络架构方面的进展,并对智能内生网络的应用前景和挑战进行了展望。
In order to meet the growing demand of new services and facilitate the application of communication technology in vertical industries,mobile communication networks will gradually evolve with more intelligence,finally resulting in endogenous intelligence in the 6G era.However,most of the current research focuses on artificial intelligence(AI)based transmission and network optimization methods and rarely discusses how to support AI efficiently in the perspective of network architecture design.To fill this gap,this paper introduces the advances in wireless network architectures with endogenous intelligence proposed by both industry and academia and then discusses two use cases as well as related challenges.
作者
孙耀华
王则予
袁硕
彭木根
Sun Yaohua;Wang Zeyu;Yuan Shuo;Peng Mugen(State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications,Beijing 100876,China)
出处
《电子技术应用》
2021年第3期8-13,17,共7页
Application of Electronic Technique
基金
国家自然科学基金(62001053)
国家重点研发计划项目(2020YFB1806703)
中央高校基本科研业务费专项资金项目(24820202020RC11)。
关键词
6G
无线网络架构
人工智能
6G
wireless network architecture
artificial intelligence
