| Iterative algorithm induced deep-unfolding neural networks: Precoding design for multiuser MIMO systems Q Hu, Y Cai, Q Shi, K Xu, G Yu, Z Ding IEEE Transactions on Wireless Communications 20 (2), 1394-1410, 2020 | 144 | 2020 |
| Intelligent reflecting surface aided full-duplex communication: Passive beamforming and deployment design Y Cai, MM Zhao, K Xu, R Zhang IEEE Transactions on Wireless Communications 21 (1), 383-397, 2021 | 67 | 2021 |
| Low-complexity joint power allocation and trajectory design for UAV-enabled secure communications with power splitting K Xu, MM Zhao, Y Cai, L Hanzo IEEE Transactions on Communications 69 (3), 1896-1911, 2020 | 45 | 2020 |
| Two-timescale hybrid analog-digital beamforming for mmWave full-duplex MIMO multiple-relay aided systems Y Cai, K Xu, A Liu, M Zhao, B Champagne, L Hanzo IEEE Journal on Selected Areas in Communications 38 (9), 2086-2103, 2020 | 38 | 2020 |
| MIMO-aided nonlinear hybrid transceiver design for multiuser mmwave systems relying on Tomlinson-Harashima precoding K Xu, Y Cai, M Zhao, Y Niu, L Hanzo IEEE Transactions on Vehicular Technology 70 (7), 6943-6957, 2021 | 10 | 2021 |
| Secrecy rate maximization of RIS-assisted SWIPT systems: A two-timescale beamforming design approach MM Zhao, K Xu, Y Cai, Y Niu, L Hanzo IEEE Transactions on Wireless Communications, 2022 | 8 | 2022 |
| Beamforming design for intelligent reflecting surface aided full-duplex relay systems Z Chen, MM Zhao, K Xu, Y Cai, MJ Zhao 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM …, 2022 | 2 | 2022 |
| Intelligent Reflecting Surface Assisted Full-Duplex Relay Systems: Deployment Design and Beamforming Optimization Z Chen, MM Zhao, K Xu, Y Cai, MJ Zhao IEEE Transactions on Communications, 2024 | | 2024 |
| Federated Reinforcement Learning for Resource Allocation in V2X Networks K Xu, S Zhou, GY Li arXiv preprint arXiv:2310.09858, 2023 | | 2023 |
| Communication-Efficient Decentralized Federated Learning via One-Bit Compressive Sensing S Zhou, K Xu, GY Li arXiv preprint arXiv:2308.16671, 2023 | | 2023 |
| Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet K Xu, N Van Huynh, GY Li IEEE Transactions on Communications, 2023 | | 2023 |
