8 citations · 12 across the 6 of their papers we have counts for
6 papers
Maximum Likelihood CFO Estimation for High-Mobility OFDM Systems: A Chinese Remainder Theorem Based Method
Wei Huang, Jun Wang, Xiaoping Li +1
Orthogonal frequency division multiplexing (OFDM) is a widely adopted wireless communication technique but is sensitive to the carrier frequency offset (CFO). For high-mobility env…
Knowledge Graph Based Waveform Recommendation: A New Communication Waveform Design Paradigm
Wei Huang, Tianfu Qi, Yundi Guan +2
Traditionally, a communication waveform is designed by experts based on communication theory and their experiences on a case-by-case basis, which is usually laborious and time-cons…
Deep Modulation Recognition with Multiple Receive Antennas: An End-to-end Feature Learning Approach
Lei Li, Qihang Peng, Jun Wang
Modulation recognition using deep neural networks has shown promising advantages over conventional algorithms. However, most existing research focuses on single receive antenna. In…
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…
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…
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…