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 | 238 | 2016 |
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 | 165 | 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 | 163 | 2018 |
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 | 119 | 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 | 115 | 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 | 113 | 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 | 104 | 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 | 92 | 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 | 91 | 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 | 87 | 2019 |
Smart multi-RAT access based on multiagent reinforcement learning M Yan, G Feng, J Zhou, S Qin IEEE Transactions on Vehicular Technology 67 (5), 4539-4551, 2018 | 76 | 2018 |
Cellular offloading in heterogeneous mobile networks with D2D communication assistance W Cao, G Feng, S Qin, M Yan IEEE Transactions on Vehicular Technology 66 (5), 4245-4255, 2016 | 67 | 2016 |
Service provisioning framework for RAN slicing: User admissibility, slice association and bandwidth allocation Y Sun, S Qin, G Feng, L Zhang, MA Imran IEEE Transactions on Mobile Computing 20 (12), 3409-3422, 2020 | 66 | 2020 |
Distributed energy-efficient power control for macro–femto networks T Mao, G Feng, L Liang, S Qin, B Wu IEEE Transactions on Vehicular Technology 65 (2), 718-731, 2015 | 60 | 2015 |
Uplink performance improvement by decoupling uplink/downlink access in HetNets L Zhang, W Nie, G Feng, FC Zheng, S Qin IEEE Transactions on Vehicular Technology 66 (8), 6862-6876, 2017 | 54 | 2017 |
Cell association with user behavior awareness in heterogeneous cellular networks Y Sun, G Feng, S Qin, S Sun IEEE Transactions on Vehicular Technology 67 (5), 4589-4601, 2018 | 50 | 2018 |
Federated cooperation and augmentation for power allocation in decentralized wireless networks M Yan, B Chen, G Feng, S Qin IEEE Access 8, 48088-48100, 2020 | 48 | 2020 |
Enhancing software-defined RAN with collaborative caching and scalable video coding R Yu, S Qin, M Bennis, X Chen, G Feng, Z Han, G Xue 2016 IEEE International Conference on Communications (ICC), 1-6, 2016 | 46 | 2016 |
How the contact-probing mechanism affects the transmission capacity of delay-tolerant networks S Qin, G Feng, Y Zhang IEEE Transactions on Vehicular Technology 60 (4), 1825-1834, 2011 | 44 | 2011 |
Learning-based cooperative content caching policy for mobile edge computing W Jiang, G Feng, S Qin, YC Liang ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 42 | 2019 |