| A reinforcement learning method for joint mode selection and power adaptation in the V2V communication network in 5G D Zhao, H Qin, B Song, Y Zhang, X Du, M Guizani IEEE Transactions on Cognitive Communications and Networking 6 (2), 452-463, 2020 | 59 | 2020 |
| A graph convolutional network-based deep reinforcement learning approach for resource allocation in a cognitive radio network D Zhao, H Qin, B Song, B Han, X Du, M Guizani Sensors 20 (18), 5216, 2020 | 28 | 2020 |
| Flexible resource management in high-throughput satellite communication systems: A two-stage machine learning framework D Zhao, H Qin, N Xin, B Song IEEE Transactions on Communications 71 (5), 2724-2739, 2023 | 1 | 2023 |
| Resource allocation in multi-user cellular networks: A transformer-based deep reinforcement learning approach D Zhao, Z Zheng, P Qin, H Qin, B Song China Communications, 2024 | | 2024 |
| A recursive DRL-based resource allocation method for multibeam satellite communication systems H Meng, N Xin, H Qin, D Zhao Chinese Journal of Electronics 33 (2), 1-9, 2024 | | 2024 |
