| Computation offloading and resource allocation for cloud assisted mobile edge computing in vehicular networks J Zhao, Q Li, Y Gong, K Zhang IEEE Transactions on Vehicular Technology 68 (8), 7944-7956, 2019 | 821 | 2019 |
| Edge caching and computation management for real-time internet of vehicles: An online and distributed approach J Zhao, X Sun, Q Li, X Ma IEEE Transactions on Intelligent Transportation Systems 22 (4), 2183-2197, 2020 | 195 | 2020 |
| Multiband cooperation for 5G HetNets: A promising network paradigm J Zhao, S Ni, L Yang, Z Zhang, Y Gong, X You IEEE Vehicular Technology Magazine 14 (4), 85-93, 2019 | 175 | 2019 |
| Energy-efficient computation offloading and resource allocation in fog computing for internet of everything Q Li, J Zhao, Y Gong, Q Zhang China Communications 16 (3), 32-41, 2019 | 148 | 2019 |
| Future 5G-oriented system for urban rail transit: Opportunities and challenges J Zhao, J Liu, L Yang, B Ai, S Ni China Communications 18 (2), 1-12, 2021 | 140 | 2021 |
| Semi-distributed resource management in UAV-aided MEC systems: A multi-agent federated reinforcement learning approach Y Nie, J Zhao, F Gao, FR Yu IEEE Transactions on Vehicular Technology 70 (12), 13162-13173, 2021 | 132 | 2021 |
| Power control algorithm of cognitive radio based on non-cooperative game theory Z Junhui, Y Tao, G Yi, W Jiao, F Lei China Communications 10 (11), 143-154, 2013 | 123 | 2013 |
| Protecting secure communication under UAV smart attack with imperfect channel estimation C Li, Y Xu, J Xia, J Zhao IEEE Access 6, 76395-76401, 2018 | 95 | 2018 |
| Joint user association and power control for load balancing in downlink heterogeneous cellular networks T Zhou, Z Liu, J Zhao, C Li, L Yang IEEE Transactions on Vehicular Technology 67 (3), 2582-2593, 2017 | 92 | 2017 |
| A model-driven deep learning method for massive MIMO detection J Liao, J Zhao, F Gao, GY Li IEEE Communications Letters 24 (8), 1724-1728, 2020 | 90 | 2020 |
| A dual-link soft handover scheme for C/U plane split network in high-speed railway J Zhao, Y Liu, Y Gong, C Wang, L Fan IEEE Access 6, 12473-12482, 2018 | 87 | 2018 |
| Jamming and eavesdropping defense scheme based on deep reinforcement learning in autonomous vehicle networks Y Yao, J Zhao, Z Li, X Cheng, L Wu IEEE Transactions on Information Forensics and Security 18, 1211-1224, 2023 | 85 | 2023 |
| Contract-based computing resource management via deep reinforcement learning in vehicular fog computing J Zhao, M Kong, Q Li, X Sun Ieee Access 8, 3319-3329, 2019 | 80 | 2019 |
| Power allocation based on genetic simulated annealing algorithm in cognitive radio networks Z Junhui, G Xin, L Xiuping Chinese journal of Electronics 22 (1), 177-180, 2013 | 73 | 2013 |
| Unified analysis of coordinated multipoint transmissions in mmWave cellular networks J Zhao, L Yang, M Xia, M Motani IEEE Internet of Things Journal 9 (14), 12166-12180, 2021 | 62 | 2021 |
| A unified design of massive access for cellular Internet of Things X Shao, X Chen, C Zhong, J Zhao, Z Zhang IEEE Internet of Things Journal 6 (2), 3934-3947, 2019 | 59 | 2019 |
| Peak-to-average power ratio reduction of FBMC/OQAM signal using a joint optimization scheme J Zhao, S Ni, Y Gong IEEE Access 5, 15810-15819, 2017 | 59 | 2017 |
| Study of connectivity probability of vehicle-to-vehicle and vehicle-to-infrastructure communication systems J Zhao, Y Chen, Y Gong 2016 IEEE 83rd vehicular technology conference (VTC Spring), 1-4, 2016 | 58 | 2016 |
| Research on the received signal strength indication location algorithm for RFID system J Zhao, Y Zhang, M Ye 2006 International Symposium on Communications and Information Technologies …, 2006 | 58 | 2006 |
| Energy-efficient UAV trajectory design for backscatter communication: A deep reinforcement learning approach Y Nie, J Zhao, J Liu, J Jiang, R Ding China communications 17 (10), 129-141, 2020 | 56 | 2020 |
Yi GongProfessor, Southern University of Science and Technology (SUSTech)Verified email at sustech.edu.cn
