移动通信2025，Vol.49Issue(3)：2-9,8.DOI:10.3969/j.issn.1006-1010.20250115-0002
无线算力网络:架构与关键技术
The Architecture and Key Technologies of Radio Computing Power Networks
摘要
Abstract
In the intelligent era,wireless networks have incorporated edge computing,fog computing,and other technologies,continuously evolving toward cloud-based,open,and intelligent directions,with gradually enhanced computing capabilities.In the future,wireless networks will undergo fundamental transformations,supporting endogenous computing,native AI,and communication-computing integration.Wireless computing power networks aim to construct an integrated intelligent service system that enables endogenous computing power within wireless access networks to be externally accessible with native AI support,coordinating cloud,edge,station,and terminal multi-level computing resources to ensure end-to-end requirements for future intelligent applications.This paper first outlines the current research status of communication and computing integration from three aspects:core network,transport network,and access network.It then introduces the architecture and key technologies of wireless computing power networks,including computing power base stations,communication-computing integrated scheduling,mobility management,and cloud-edge-end collaborative scheduling technologies,explaining their principles and related methods.These approaches aim to fully utilize the advantages of communication-computing integration in wireless networks to support native AI and future intelligent application requirements.Finally,the paper summarizes the technical challenges facing wireless computing power networks and provides an outlook on future development directions.关键词
无线算力网络/通算融合/原生AI/云边端协同Key words
wireless computing power network/communication-computing integration/native AI/cloud-edge-end collaboration分类
电子信息工程引用本文复制引用
郭凤仙,闫实,彭木根,刘亮,王尚广,石川..无线算力网络:架构与关键技术[J].移动通信,2025,49(3):2-9,8.基金项目
国家自然科学基金项目"移动边缘算力网络协同调度理论与方法","面向体征检测的无源射频计算协同感知理论与方法"(62201073,6243000390) （62201073,6243000390）
