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Honggang Zhang
Honggang Zhang
Professor, Zhejiang University; IEEE Fellow; Founding Chief Managing Editor, Intelligent Computing
Geverifieerd e-mailadres voor zju.edu.cn - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
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
7102017
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
6942019
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
5802019
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
4192007
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
3702018
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
3462016
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
324*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
3152011
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
2882015
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
2632019
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
2372014
Green Communications: Theoretical Fundamentals, Algorithms and Applications
J Wu, S Rangan, H Zhang
CRC Press, 2012
2362012
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
2022020
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
1872014
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
1842018
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
1812020
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
1602015
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
1592017
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
1432020
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
1432014
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Artikelen 1–20