| A survey of energy-efficient wireless communications D Feng, C Jiang, G Lim, LJ Cimini, G Feng, GY Li IEEE Communications Surveys & Tutorials 15 (1), 167-178, 2012 | 1258 | 2012 |
| Device-to-device communications underlaying cellular networks D Feng, L Lu, Y Yuan-Wu, GY Li, G Feng, S Li IEEE Transactions on communications 61 (8), 3541-3551, 2013 | 1097 | 2013 |
| Device-to-device communications in cellular networks D Feng, L Lu, Y Yuan-Wu, GY Li, S Li, G Feng IEEE Communications Magazine 52 (4), 49-55, 2014 | 515 | 2014 |
| Intelligent reflecting surface-assisted cognitive radio system J Yuan, YC Liang, J Joung, G Feng, EG Larsson IEEE Transactions on Communications 69 (1), 675-687, 2020 | 266 | 2020 |
| Blockchain-enabled wireless Internet of Things: Performance analysis and optimal communication node deployment Y Sun, L Zhang, G Feng, B Yang, B Cao, MA Imran IEEE Internet of Things Journal 6 (3), 5791-5802, 2019 | 258 | 2019 |
| Optimal cooperative content caching and delivery policy for heterogeneous cellular networks W Jiang, G Feng, S Qin IEEE Transactions on Mobile Computing 16 (5), 1382-1393, 2016 | 251 | 2016 |
| iRAF: A deep reinforcement learning approach for collaborative mobile edge computing IoT networks J Chen, S Chen, Q Wang, B Cao, G Feng, J Hu IEEE Internet of Things Journal 6 (4), 7011-7024, 2019 | 232 | 2019 |
| Intelligent resource scheduling for 5G radio access network slicing M Yan, G Feng, J Zhou, Y Sun, YC Liang IEEE Transactions on Vehicular Technology 68 (8), 7691-7703, 2019 | 221 | 2019 |
| Multi-agent reinforcement learning for efficient content caching in mobile D2D networks W Jiang, G Feng, S Qin, TSP Yum, G Cao IEEE Transactions on Wireless Communications 18 (3), 1610-1622, 2019 | 179 | 2019 |
| Proactive content caching by exploiting transfer learning for mobile edge computing T Hou, G Feng, S Qin, W Jiang International Journal of Communication Systems 31 (11), e3706, 2018 | 170 | 2018 |
| Mode switching for energy-efficient device-to-device communications in cellular networks D Feng, G Yu, C Xiong, Y Yuan-Wu, GY Li, G Feng, S Li IEEE Transactions on Wireless Communications 14 (12), 6993-7003, 2015 | 139 | 2015 |
| Network slice reconfiguration by exploiting deep reinforcement learning with large action space F Wei, G Feng, Y Sun, Y Wang, S Qin, YC Liang IEEE Transactions on Network and Service Management 17 (4), 2197-2211, 2020 | 137 | 2020 |
| Deep reinforcement learning-based modulation and coding scheme selection in cognitive heterogeneous networks L Zhang, J Tan, YC Liang, G Feng, D Niyato IEEE Transactions on Wireless Communications 18 (6), 3281-3294, 2019 | 137 | 2019 |
| Deep reinforcement learning for joint channel selection and power control in D2D networks J Tan, YC Liang, L Zhang, G Feng IEEE Transactions on Wireless Communications 20 (2), 1363-1378, 2020 | 121 | 2020 |
| The SMART handoff policy for millimeter wave heterogeneous cellular networks Y Sun, G Feng, S Qin, YC Liang, TSP Yum IEEE Transactions on Mobile Computing 17 (6), 1456-1468, 2017 | 120 | 2017 |
| Resource allocation for network slices in 5G with network resource pricing G Wang, G Feng, W Tan, S Qin, R Wen, SS Sun GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017 | 112 | 2017 |
| Reconfiguration in network slicing—Optimizing the profit and performance G Wang, G Feng, TQS Quek, S Qin, R Wen, W Tan IEEE Transactions on Network and Service Management 16 (2), 591-605, 2019 | 109 | 2019 |
| On robustness of network slicing for next-generation mobile networks R Wen, G Feng, J Tang, TQS Quek, G Wang, W Tan, S Qin IEEE Transactions on Communications 67 (1), 430-444, 2018 | 96 | 2018 |
| Device association for RAN slicing based on hybrid federated deep reinforcement learning YJ Liu, G Feng, Y Sun, S Qin, YC Liang IEEE Transactions on Vehicular Technology 69 (12), 15731-15745, 2020 | 95 | 2020 |
| Multi-agent reinforcement learning based cooperative content caching for mobile edge networks W Jiang, G Feng, S Qin, Y Liu IEEE Access 7, 61856-61867, 2019 | 89 | 2019 |
