Honggang Zhang
Honggang Zhang
Professor, College of Information Science & Electronic Engineering, Zhejiang University
Email verificata su zju.edu.cn - Home page
Citata da
Citata da
CogMesh: A cluster-based cognitive radio network
T Chen, H Zhang, GM Maggio, I Chlamtac
2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum …, 2007
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
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
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
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
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
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
Green Communications: Theoretical Fundamentals, Algorithms and Applications
J Wu, S Rangan, H Zhang
CRC Press, 2012
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
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
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
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
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
Multiple signal waveforms adaptation in cognitive ultra-wideband radio evolution
H Zhang, X Zhou, KY Yazdandoost, I Chlamtac
IEEE Journal on Selected Areas in Communications 24 (4), 878-884, 2006
Topology management in CogMesh: a cluster-based cognitive radio mesh network
T Chen, H Zhang, GM Maggio, I Chlamtac
2007 IEEE International Conference on Communications, 6516-6521, 2007
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
Swarm intelligence based dynamic control channel assignment in CogMesh
T Chen, H Zhang, MD Katz, Z Zhou
ICC Workshops-2008 IEEE International Conference on Communications Workshops …, 2008
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
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
Energy efficiency in communications
H Zhang, A Gladisch, M Pickavet, Z Tao, W Mohr
IEEE Communications Magazine 48 (11), 48-49, 2010
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