| Intelligent 5G: When Cellular Networks Meet Artificial Intelligence R Li, Z Zhao, X Zhou, G Ding, Y Chen, Z Wang, H Zhang IEEE Wireless Communications 24 (5), 175-183, 2017 | 713 | 2017 |
| 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, 2019 | 701 | 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 | 590 | 2019 |
| CogMesh: A Cluster-based Cognitive Radio Network T Chen, H Zhang, GM Maggio, I Chlamtac 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access …, 2007 | 419 | 2007 |
| Deep Reinforcement Learning for Resource Management in Network Slicing R Li, Z Zhao, Q Sun, Chih-Lin I, C Yang, X Chen, M Zhao, H Zhang IEEE Access, 74429 - 74441, 2018 | 373 | 2018 |
| Network Slicing as a Service: Enabling Enterprises' Own Software-Defined Cellular Networks X Zhou, R Li, T Chen, H Zhang IEEE Communications Magazine 54 (7), 146-153, 2016 | 348 | 2016 |
| DS-UWB Physical Layer Submission to 802.15 Task Group 3a R Fisher, R Kohno, H Ogawa, H Zhang, K Takizawa, M Mc Laughlin, ... IEEE P802 Standards (IEEE 802.15.3a DS-UWB), 2004 | 325* | 2004 |
| Network Energy Saving Technologies for Green Wireless Access Networks T Chen, Y Yang, H Zhang, H Kim, K Horneman IEEE Wireless Communications 18 (5), 30-38, 2011 | 316 | 2011 |
| 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 | 288 | 2015 |
| AI-based Two-Stage Intrusion Detection for Software Defined IoT Networks J Li, Z Zhao, R Li, H Zhang IEEE Internet of Things Journal 6 (2), 2093-2102, 2019 | 265 | 2019 |
| Spatial Modeling of the Traffic Density in Cellular Networks D Lee, S Zhou, X Zhong, Z Niu, X Zhou, H Zhang IEEE Wireless Communications 21 (1), 80-88, 2014 | 237 | 2014 |
| Green Communications: Theoretical Fundamentals, Algorithms and Applications J Wu, S Rangan, H Zhang CRC Press, 2012 | 236 | 2012 |
| 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, 2020 | 206 | 2020 |
| 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 | 187 | 2014 |
| 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 | 185 | 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 Trans. Wireless Communications, 2020 | 182 | 2020 |
| On the limits of predictability in real-world radio spectrum state dynamics: From entropy theory to 5G spectrum sharing G Ding, J Wang, Q Wu, YD Yao, R Li, H Zhang, Y Zou IEEE Communications Magazine 53 (7), 178-183, 2015 | 162 | 2015 |
| The Learning and Prediction of Application-level Traffic Data in Cellular Networks R Li, Z Zhao, J Zheng, C Mei, Y Cai, H Zhang IEEE Transactions on Wireless Communications, 2017 | 159 | 2017 |
| The LSTM-based Advantage Actor-Critic Learning for Resource Management in Network Slicing with User Mobility R Li, C Wang, Z Zhao, R Guo, H Zhang IEEE Communications Letters, 2020 | 144 | 2020 |
| The prediction analysis of cellular radio access network traffic: From entropy theory to networking practice R Li, Z Zhao, X Zhou, J Palicot, H Zhang IEEE Communications Magazine 52 (6), 234-240, 2014 | 143 | 2014 |
Zhifeng ZhaoZhejiang Lab, China確認したメール アドレス: zhejianglab.org
