8 citations · 12 across the 3 of their papers we have counts for
3 papers
eess.SP2019★ 3 cited
A Neural Network Detector for Spectrum Sensing under Uncertainties
Ziyu Ye, Qihang Peng, Kelly Levick +4
Spectrum sensing is of critical importance in any cognitive radio system. When the primary user's signal has uncertain parameters, the likelihood ratio test, which is the theoretic…
cs.IT2019★ 8 cited
Robust Deep Sensing Through Transfer Learning in Cognitive Radio
Qihang Peng, Andrew Gilman, Nuno Vasconcelos +2
We propose a robust spectrum sensing framework based on deep learning. The received signals at the secondary user's receiver are filtered, sampled and then directly fed into a conv…
eess.SP2019★ 1 cited
Comparison of Neural Network Architectures for Spectrum Sensing
Ziyu Ye, Andrew Gilman, Qihang Peng +3
Different neural network (NN) architectures have different advantages. Convolutional neural networks (CNNs) achieved enormous success in computer vision, while recurrent neural net…