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	Deep Learning Aided Multi-Level Transmit Power Recognition in Cognitive Radio Networks 期刊论文 IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2023, 卷号: 9, 期号: 2, 页码: 332-344 Authors:  Tan, Zhenyu;  Wang, Danyang;  Liu, Qi;  Li, Zan;  Zhang, Ning;  Abdel-Raheem, Esam Adobe PDF(3048Kb)  |  Favorite  |  View/Download：10/1  |  Submit date：2023/11/21 Sensors  Feature extraction  Computer architecture  Interference  Deep learning  Convolutional neural networks  Uncertainty  Cognitive radio  convolutional neural network  multiple transmit power levels recognition
	CNN-Enabled Multiple Power-Levels Identification in Cognitive Radio Networks 会议论文 IEEE Global Communications Conference (GLOBECOM), 04-08 December 2022, Rio de Janeiro, BRAZIL, Dec 04-08, 2022 Authors:  Tan, Zhenyu;  Liu, Qi;  Li, Zan;  Wang, Danyang;  Zhang, Ning;  Dai, Hong-Ning Adobe PDF(925Kb)  |  Favorite  |  View/Download：2/0  |  Submit date：2024/07/02 cognitive radio  convolutional neural network  multiple transmit power  levels identification  non-gaussian signal