移动通信2024，Vol.48Issue(7)：1-14,14.DOI:10.3969/j.issn.1006-1010.20240629-0001
构建无线网络内生智能通信验证系统的挑战与方法
Challenges and Methods of Constructing a Verification System for Endogenous Intelligent Communication in Wireless Networks
摘要
Abstract
With the successful application of artificial intelligence and deep learning in the fields of computer vision,robotics,and medical treatment,wireless network intelligence is one of key technologies for the development of the next-generation wireless communication.This paper explores the key technical challenges and deployment options for constructing a verification system for endogenous intelligent communication in wireless networks.This works builds a versification system for endogenous intelligent communication that integrates wireless data collection and analysis,network state modeling and prediction,artificial intelligent model deployment and application,and dynamic monitoring and visualization of data by adopting advanced technologies such as network function virtualization,software-defined networking,containers and microservices,with Kubernetes as the foundation,signal processing timeline as the main pipeline,and pooling management of computing,network,data and wireless resources as the key method.This system has the abilities of real-time data collection and analysis,comprehensive understanding and monitoring of the wireless network state,and realizes the goals of testing and validation of endogenous intelligent communication technologies,such as flexible,agile and intelligent scheduling and management of data,calculus,resources in wireless communication network,as well as intelligent tuning of transmission strategies.关键词
内生智能/无线网络/验证系统Key words
endogenous intelligence/wireless network/verification system分类
电子信息工程引用本文复制引用
何世文,董浩磊,彭石林,刘文超,张晓宇,朱小亮..构建无线网络内生智能通信验证系统的挑战与方法[J].移动通信,2024,48(7):1-14,14.基金项目
国家重点研发计划"基于先进移动通信的协同式智能网联汽车关键技术"(2023YFB2504700) （2023YFB2504700）
国家自然科学基金资助项目"面向超密集网络的超可靠低时延协同传输理论研究"(62171474) （62171474）
