期刊文献+

基于深度学习的频谱智能管控技术发展思考

Thoughts on the Development of Deep-Learning Based Intelligent Spectrum Management and Control
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摘要 首先介绍了基于深度学习的智能化技术和频谱管控技术的基本原理。然后基于频谱管控的OODA循环,介绍了深度学习技术在频谱智能感知、频谱智能认知、频谱智能决策等场景下的应用情况。最后结合OODA循环,从频谱感知认知、频谱决策生成、频谱决策执行等角度,对深度学习技术在频谱管控领域的发展提出建议。 Firstly,the basic principles of intelligent technology and spectrum management technology based on deep learning are introduced.Then,based on the OODA loop of spectrum management and control,the applications of deep learning technology are presented in the scenarios such as spectrum intelligent perception,spectrum intelligent cognition,and spectrum intelligent decision-making.Finally,based on the OODA loop,some suggestions are provided on the development of deep learning technology in the fields of spectrum management and control from the perspectives of spectrum perception and cognition,spectrum decision generation,and spectrum decision execution.
作者 张有志 ZHANG Youzhi(A Project Center,Beijing 100071,China)
机构地区 某项目中心
出处 《移动通信》 2024年第8期129-136,共8页 Mobile Communications
关键词 频谱管控 深度学习 人工智能 spectrum management and control deep learning artificial intelligence
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