| Optimized computation offloading performance in virtual edge computing systems via deep reinforcement learning X Chen, H Zhang, C Wu, S Mao, Y Ji, M Bennis IEEE Internet of Things Journal 6 (3), 4005-4018, 2019 | 643 | 2019 |
| Deep learning with long short-term memory for time series prediction Y Hua, Z Zhao, R Li, X Chen, Z Liu, H Zhang IEEE Communications Magazine 57 (6), 114-119, 2019 | 493 | 2019 |
| Deep reinforcement learning for resource management in network slicing R Li, Z Zhao, Q Sun, I Chih-Lin, C Yang, X Chen, M Zhao, H Zhang IEEE Access 6, 74429-74441, 2018 | 320 | 2018 |
| Energy-Efficient Optimization for Wireless Information and Power Transfer in Large-Scale MIMO Systems Employing Energy Beamforming X Chen, X Wang, X Chen IEEE Wireless Communications Letters 2 (6), 667-670, 2013 | 295 | 2013 |
| Energy-Efficiency Oriented Traffic Offloading in Wireless Networks: A Brief Survey and A Learning Approach for Heterogeneous Cellular Networks X Chen, J Wu, Y Cai, H Zhang, T Chen IEEE Journal on Selected Areas in Communications 33 (4), 627-640, 2015 | 279 | 2015 |
| Software defined mobile networks: Concept, survey, and research directions T Chen, M Matinmikko, X Chen, X Zhou, P Ahokangas IEEE Communications Magazine 53 (11), 126-133, 2015 | 240 | 2015 |
| TACT: a transfer actor-critic learning framework for energy saving in cellular radio access networks R Li, Z Zhao, X Chen, J Palicot, H Zhang IEEE Transactions on Wireless Communications 13 (4), 2000-2011, 2014 | 177 | 2014 |
| GAN-powered deep distributional reinforcement learning for resource management in network slicing Y Hua, R Li, Z Zhao, X Chen, H Zhang IEEE Journal on Selected Areas in Communications 38 (2), 334-349, 2019 | 171 | 2019 |
| Performance optimization in mobile-edge computing via deep reinforcement learning X Chen, H Zhang, C Wu, S Mao, Y Ji, M Bennis 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-6, 2018 | 165 | 2018 |
| Age of information aware radio resource management in vehicular networks: A proactive deep reinforcement learning perspective X Chen, C Wu, T Chen, H Zhang, Z Liu, Y Zhang, M Bennis IEEE Transactions on wireless communications 19 (4), 2268-2281, 2020 | 161 | 2020 |
| Wireless edge computing with latency and reliability guarantees MS Elbamby, C Perfecto, CF Liu, J Park, S Samarakoon, X Chen, ... Proceedings of the IEEE 107 (8), 1717-1737, 2019 | 159 | 2019 |
| Delay-aware and energy-efficient computation offloading in mobile-edge computing using deep reinforcement learning L Ale, N Zhang, X Fang, X Chen, S Wu, L Li IEEE Transactions on Cognitive Communications and Networking 7 (3), 881-892, 2021 | 151 | 2021 |
| Multi-tenant cross-slice resource orchestration: A deep reinforcement learning approach X Chen, Z Zhao, C Wu, M Bennis, H Liu, Y Ji, H Zhang IEEE Journal on Selected Areas in Communications 37 (10), 2377-2392, 2019 | 128 | 2019 |
| Computation offloading in beyond 5G networks: A distributed learning framework and applications X Chen, C Wu, Z Liu, N Zhang, Y Ji IEEE Wireless Communications 28 (2), 56-62, 2021 | 120 | 2021 |
| Decentralized trust evaluation in vehicular Internet of Things S Guleng, C Wu, X Chen, X Wang, T Yoshinaga, Y Ji IEEE Access 7, 15980-15988, 2019 | 108 | 2019 |
| Optimal Base Station Sleeping in Green Cellular Networks: A Distributed Cooperative Framework Based on Game Theory J Zheng, Y Cai, X Chen, R Li, H Zhang IEEE Transactions on Wireless Communications, 2015 | 88 | 2015 |
| Stochastic Power Adaptation with Multi-agent Reinforcement Learning for Cognitive Wireless Mesh Networks X Chen, Z Zhao, H Zhang IEEE Transactions on Mobile Computing 12 (11), 2155-2166, 2013 | 86 | 2013 |
| Point cloud video streaming: Challenges and solutions Z Liu, Q Li, X Chen, C Wu, S Ishihara, J Li, Y Ji IEEE Network 35 (5), 202-209, 2021 | 83 | 2021 |
| SoftMobile: Control evolution for future heterogeneous mobile networks T Chen, H Zhang, X Chen, O Tirkkonen Wireless Communications, IEEE 21 (6), 70-78, 2015 | 79 | 2015 |
| Rethinking Modern Communication from Semantic Coding to Semantic Communication K Lu, Q Zhou, R Li, Z Zhao, X Chen, J Wu, H Zhang IEEE Wireless Communications, 2022 | 71 | 2022 |
