机译:Deep Learning Aided Multi-Level Transmit Power Recognition in Cognitive Radio Networks
Xinjiang Astronomical Observatory, Chinese Academy of Sciences, ürümqi, China;
State Key Laboratory of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi’an, China;
Department of Electrical and Computer Engineering, University of Windsor, Windsor, Canada;
Sensors; Feature extraction; Computer architecture; Interference; Deep learning; Convolutional neural networks; Uncertainty;