移动通信2024，Vol.48Issue(8)：46-55,10.DOI:10.3969/j.issn.1006-1010.20240619-0003
面向6G频谱空间认知的用频规律智能识别方法
Intelligent Identification Method of Frequency Usage Patterns Oriented Towards for 6G Spectrum Spatial Cognition
摘要
Abstract
In response to the demand for efficient utilization of 6G spectrum space,and the need for dynamic spectrum access users to understand the frequency usage patterns of environmental electromagnetic radiation sources,this paper studies an intelligent identification method for frequency usage behaviors based on deep learning.Firstly,a threshold denoising method based on deep learning is proposed,which overcomes the impact of noise on shallow features and the further impact on deep features caused by nonlinear propagation.Then,a frequency usage behavior identification model based on a convolutional block attention mechanism is proposed to enhance the focus on key information of frequency usage behavior features,further improving identification performance.Simulation results show that this method effectively improves the accuracy and robustness of interference frequency usage pattern identification.关键词
6G/频谱认知/干扰识别/深度学习Key words
6G/spectrum cognition/interference identification/deep learning分类
信息技术与安全科学引用本文复制引用
姚昌华,张军,曹洪森,李洋,祁博宇..面向6G频谱空间认知的用频规律智能识别方法[J].移动通信,2024,48(8):46-55,10.基金项目
国家自然科学基金"复杂电磁环境下通信抗干扰智能决策技术","面向任务的无人机集群通控一体群智博弈学习优化研究"(U22B2002,61971439) （U22B2002,61971439）
通信抗干扰全国重点实验室基础科研创新基金(稳定支持)项目资助"智能自组网博弈学习协同抗干扰技术研究"(IFN20230207) （稳定支持）
