6G智能内生系统架构关键技术探究和展望  被引量:3

Exploration and Prospect of 6G Native Artificial Intelligence System Architecture Key Technologies

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作  者:王梦涵 杨立[1,2] 朱进国 Wang Menghan;Yang Li;Zhu Jinguo(ZTE Corporation,Nanjing 210012,China;State Key Laboratory of Mobile Network and Mobile Multimedia Technology,Shenzhen 518055,China)

机构地区:[1]中兴通讯股份有限公司,南京210012 [2]移动网络和移动多媒体技术国家重点实验室,深圳518055

出  处:《信息通信技术》2023年第2期50-57,共8页Information and communications Technologies

基  金:国家重点研发计划基金资助项目(No.2021YFB2900200)。

摘  要:面对多类型业务、多领域场景、多维度资源、多方参与的新型应用需求和发展趋势,6G新网络需要能够和人工智能技术深度融合,智能内生作为未来6G新系统的核心特征之一,已在业界基本达成共识。目前研究侧重在6G智能内生的需求、面临的挑战以及应用场景等,对6G智能内生的设计原则、系统架构相关的关键技术还需深入探讨和统一。文章基于业界最新进展,提出并分析阐述6G智能内生的设计原则、系统架构关键技术等方面。Facing the new application requirements and development trends of multi-type services,multi-field scenarios,multi-dimensional resources and multi-party participation,6G new networks need to be able to deeply integrate with artificial intelligence(AI)technology.The industry has basically reached a consensus that native AI is one of the core features of future 6G new systems.At present,the existing research focuses on the needs,challenges and application scenarios of native AI in 6G.However,the design principles,system architecture related key technologies targeted at key problems of 6G native AI still need in-depth discussion and unification.Based on the latest developments in the industry,this paper proposes and analyzes the design principles,system architecture key technologies of native AI in 6G.

关 键 词:6G 智能内生 分布协同 智能化闭环 通感算智融合 

分 类 号:TN929.5[电子电信—通信与信息系统]

 

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