以AI任务为中心的6G无线接入网技术体系研究OA
Building an AI-Task-Centric 6G Radio Access Network Technology System
针对移动AI业务流量新特性下的无线技术需求,提出以AI任务为中心的6G无线接入网技术体系,涵盖了从AI业务需求研究、RAN架构设计到动态自适应服务质量管理机制与无线传输跨层协同优化的完整研究框架.RAN侧将引入AI任务感知功能,实现面向任务的多连接统一管理与协同调度.无线接入网将目标性能从传统比特服务转向面向AI任务体验,通过跨层协同优化实现保障全局任务体验的最优传输策略,为6G支撑智能业务奠定基础.
This paper proposes an innovative AI-task-centric 6G radio access network(RAN)technology framework tailored to the new traffic characteristics of mobile AI services.The framework encompasses a complete research architecture,ranging from the study of AI service requirements and the design of AI-task-centric RAN architecture,to dynamic adaptive quality of service(QoS)management mechanisms and cross-layer collaborative optimization for wireless transmission.The RAN side will introduce AI task awareness functionality to enable unified management and coordinated scheduling of task-level multi-connections.The target performance of the RAN will shift from traditional bit-oriented services to AI task experience-oriented services.Through cross-layer collaborative optimization,an optimal transmission strategy that guarantees the overall task experience will be achieved,laying the foundation for 6G to support intelligent services.
沈霞;杜滢;江甲沫;许伟华;王志勤
中国信息通信研究院,北京 100191中国信息通信研究院,北京 100191中国信息通信研究院,北京 100191中国信息通信研究院,北京 100191中国信息通信研究院,北京 100191
信息技术与安全科学
AI任务感知无线接入网动态QoS跨层协同自适应传输
AI task awarenessradio access networkdynamic QoScross-layer collaborationadaptive transmission
《移动通信》 2026 (8)
2-8,7
移动信息网络国家科技重大专项"6G无线空口与接入网设计及标准研究"(2024ZD1300500)
评论