电讯技术2023，Vol.63Issue(12)：1839-1846,8.DOI:10.20079/j.issn.1001-893x.220721005
基于协同学习的频谱智能感知方法
An Intelligent Spectrum Sensing Method Based on Collaborative Learning
摘要
Abstract
The spatial and temporal distribution of current heterogeneous network spectrum environment is complex and variable,the data preprocessing of existing multi-user cooperative sensing methods is cumbersome,and the sensing efficiency is low.For above problems,a cooperative learning-based spectrum intelligent sensing algorithm is proposed under a system architecture consisting of user sensing layer and edge fusion layer.The user-aware layer uses a multi-branch convolutional recurrent gated neural network to realize local sensing by using the underlying structural information of the original normalized energy signal.The edge fusion layer performs message propagation based on a self-attention mechanism and fuses the sensing results of each unauthorized user in the user-aware layer to arrive at the final decision.Experiments show that when the signal-to-noise ratio is-20 dB and five users are sensing cooperatively,the proposed method is able to achieve a detection probability of 18.3% at a false alarm probability of 1.91% ,an improvement of 6.1% compared with the comparison model,and does not require additional pre-processing of the raw data,thus reducing the complexity of the algorithm.关键词
智能频谱感知/协同学习/卷积神经网络/门控循环单元/自注意力机制Key words
intelligent spectrum sensing/collaborative learning/convolutional neural network/gated cycle unit/self-attention mechanism分类
信息技术与安全科学引用本文复制引用
潘成胜,蔡韧,石怀峰,施建锋,王钰玥..基于协同学习的频谱智能感知方法[J].电讯技术,2023,63(12):1839-1846,8.基金项目
国家自然科学基金资助项目(61931004,61801073) （61931004,61801073）
江苏省自然科学基金项目(BK20210641) （BK20210641）
