1 citations · 1 across the 1 of their papers we have counts for
3 papers
eess.SP2019
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
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…