电讯技术2025，Vol.65Issue(4)：634-641,8.DOI:10.20079/j.issn.1001-893x.231224001
未来复杂网络环境下动态频谱高效感知技术研究进展
Dynamic Spectrum Efficient Sensing under Future Complex Network Environments:State-of-the-Art and Recent Advances
摘要
Abstract
Dynamic spectrum sharing has been recognized as one of the most direct and efficient methods to solve the issue of ever-increasing serious spectrum deficit risk in future broadband mobile communication systems(5G&6G).However,due to the potential new features of future 5G&6G networks,including hyper-densification,high heterogeneity,high dynamics,and intelligence,there are new problems and new challenges faced by the discovery process of spectrum sharing(namely spectrum sensing),such as the huge gathering cost of spectrum big data,low valued data density,inaccurate detection outputs,insufficient sharing opportunity discovery,etc.Dynamic spectrum efficient sensing technology based on machine learning has become an important research direction in electromagnetic spectrum field.Firstly,the national strategic demands and technical challenges of dynamic spectrum sharing are investigated.Then,the present domestic and foreign research and related developments on three aspects are summarized,including joint sparse sampling,cooperative sensing,multi-dimensional collaborative prediction.At the same time,the core scientific problems of dynamic spectrum efficient perception are proposed.Finally,the solving approaches of the problems are given,which can be employed to significantly improve the spectrum utilization in future complex wireless networks.关键词
复杂网络/动态频谱共享/高效感知/多维协同预测/联合稀疏采样/机器学习Key words
complex network/dynamic spectrum sharing/efficient sensing/multi-dimensional collaborative prediction/joint sparse sampling/machine learning分类
电子信息工程引用本文复制引用
崔翠梅,殷昌永,杨德智..未来复杂网络环境下动态频谱高效感知技术研究进展[J].电讯技术,2025,65(4):634-641,8.基金项目
国家自然科学基金面上项目(62371075,62372070) （62371075,62372070）
国家自然科学基金青年基金项目(61801056) （61801056）
中国博士后科学基金(2018M632203) （2018M632203）
江苏省教育厅未来网络研究基金(FNSRFP-2021-YB-37) （FNSRFP-2021-YB-37）
江苏高校"青蓝工程"中青年学术带头人培养对象人才资助项目 （）
