通信学报2026，Vol.47Issue(2)：1-19,19.DOI:10.11959/j.issn.1000-436x.2026041
面向6G的内生智能频谱管控关键技术研究
Survey on key technologies for native-intelligence-driven spectrum management towards 6G
摘要
Abstract
The evolution of communication networks is intensifying spectrum scarcity due to the growing number of frequency-dependent devices.Native-intelligence in 6G,which leverages machine learning for spectrum management,of-fers an effective way to enhance spectrum utilization.The research on key technologies for native-intelligence-driven spectrum management in 6G was surveyed.Firstly,emerging trends in spectrum evolution were analyzed.Secondly,a three-layer spectrum management analysis framework was established.Within this framework,native-intelligence-driven decision-making applications in cooperative spectrum sensing and dynamic spectrum access were compared,and secu-rity solutions based on blockchain and machine learning were summarized.Finally,potential challenges and future re-search directions were discussed.关键词
频谱管控/协作频谱感知/动态频谱接入/机器学习/区块链Key words
spectrum management/cooperative spectrum sensing/dynamic spectrum access/machine learning/blockchain分类
信息技术与安全科学引用本文复制引用
王先梅,任语铮,姜天宇,张海君,马旭..面向6G的内生智能频谱管控关键技术研究[J].通信学报,2026,47(2):1-19,19.基金项目
国家自然科学基金资助项目(No.62225103,No.U22B2003,No.U2441227) （No.62225103,No.U22B2003,No.U2441227）
北京市自然科学基金资助项目(No.L253003,No.L241008) The National Natural Science Foundation of China(No.62225103,No.U22B2003,No.U2441227),Beijing Natu-ral Science Foundation(No.L253003,No.L241008) （No.L253003,No.L241008）
