| A distributed spectrum sensing scheme based on credibility and evidence theory in cognitive radio context P Qihang, Z Kun, W Jun, L Shaoqian 2006 IEEE 17th international symposium on personal, indoor and mobile radio …, 2006 | 251 | 2006 |
| Robust deep sensing through transfer learning in cognitive radio Q Peng, A Gilman, N Vasconcelos, PC Cosman, LB Milstein IEEE Wireless Communications Letters 9 (1), 38-41, 2019 | 72 | 2019 |
| Spoofing or jamming: Performance analysis of a tactical cognitive radio adversary Q Peng, PC Cosman, LB Milstein IEEE Journal on Selected Areas in Communications 29 (4), 903-911, 2011 | 55 | 2011 |
| Optimal sensing disruption for a cognitive radio adversary Q Peng, PC Cosman, LB Milstein IEEE Transactions on Vehicular Technology 59 (4), 1801-1810, 2010 | 37 | 2010 |
| Resource allocation in UAV-assisted networks: A clustering-aided reinforcement learning approach S Zhou, Y Cheng, X Lei, Q Peng, J Wang, S Li IEEE Transactions on Vehicular Technology 71 (11), 12088-12103, 2022 | 31 | 2022 |
| Achieving secure spectrum sensing in presence of malicious attacks utilizing unsupervised machine learning Y Li, Q Peng MILCOM 2016-2016 IEEE Military Communications Conference, 174-179, 2016 | 30 | 2016 |
| Comparison of neural network architectures for spectrum sensing Z Ye, A Gilman, Q Peng, K Levick, P Cosman, L Milstein 2019 IEEE Globecom Workshops (GC Wkshps), 1-6, 2019 | 25 | 2019 |
| Multi-user resource allocation for downlink multi-cluster multicarrier DS CDMA system Z Wang, Q Peng, LB Milstein IEEE transactions on wireless communications 10 (8), 2534-2542, 2011 | 24 | 2011 |
| Mitigating spectrum sensing data falsification attacks in hard-decision combining cooperative spectrum sensing K Zeng, QH Peng, YX Tang Science China Information Sciences 57, 1-9, 2014 | 21 | 2014 |
| Analysis and simulation of sensing deception in fading cognitive radio networks Q Peng, PC Cosman, LB Milstein 2010 6th International Conference on Wireless Communications Networking and …, 2010 | 18 | 2010 |
| Robustness of deep modulation recognition under awgn and rician fading B Luo, Q Peng, PC Cosman, LB Milstein 2018 52nd Asilomar Conference on Signals, Systems, and Computers, 447-450, 2018 | 12 | 2018 |
| Tradeoff between spoofing and jamming a cognitive radio Q Peng, PC Cosman, LB Milstein 2009 Conference Record of the Forty-Third Asilomar Conference on Signals …, 2009 | 10 | 2009 |
| UAV trajectory optimization for spectrum cartography: A PPO approach L Li, W Li, J Wang, X Chen, Q Peng, W Huang IEEE Communications Letters 27 (6), 1575-1579, 2023 | 9 | 2023 |
| Multi-domain networks for wireless interference recognition P Wang, Y Cheng, B Dong, Q Peng, S Li IEEE Transactions on Vehicular Technology 71 (6), 6534-6547, 2022 | 9 | 2022 |
| Sensing schemes for DVB-T in cognitive radio context L Chen, Q Peng, J Wang, S Li 2007 International Conference on Communications, Circuits and Systems, 314-318, 2007 | 9 | 2007 |
| Deep modulation recognition in an unknown environment L Li, Q Peng, PC Cosman, LB Milstein 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1045-1048, 2019 | 8 | 2019 |
| A constrained block-term tensor decomposition framework for spectrum cartography X Chen, J Wang, Q Peng, G Zhang IEEE Signal Processing Letters 29, 1699-1703, 2022 | 7 | 2022 |
| Bring globality into convolutional neural networks for wireless interference classification P Wang, Y Cheng, B Dong, Q Peng IEEE Wireless Communications Letters 11 (3), 538-542, 2021 | 7 | 2021 |
| Secure and reliable downlink transmission for energy-efficient user-centric ultra-dense networks: An accelerated DRL approach W Li, J Wang, L Li, Q Peng, W Huang, X Chen, S Li IEEE Transactions on Vehicular Technology 70 (9), 8978-8992, 2021 | 7 | 2021 |
| Tensor-based parametric spectrum cartography from irregular off-grid samplings X Chen, J Wang, G Zhang, Q Peng IEEE Signal Processing Letters 30, 513-517, 2023 | 6 | 2023 |
