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Celimuge Wu
Celimuge Wu
Professor & Director of Meta-Networking Research Center, The University of Electro-Communications
Verified email at uec.ac.jp - Homepage
Title
Cited by
Cited by
Year
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, 2018
6852018
Edge computing in 5G: A review
N Hassan, KLA Yau, C Wu
IEEE Access 7, 127276-127289, 2019
4332019
Federated learning for vehicular internet of things: Recent advances and open issues
Z Du, C Wu, T Yoshinaga, KLA Yau, Y Ji, J Li
IEEE Open Journal of the Computer Society 1, 45-61, 2020
3632020
AVE: Autonomous vehicular edge computing framework with ACO-based scheduling
J Feng, Z Liu, C Wu, Y Ji
IEEE Transactions on Vehicular Technology 66 (12), 10660-10675, 2017
3472017
QoS-guarantee resource allocation for multibeam satellite industrial internet of things with NOMA
X Liu, XB Zhai, W Lu, C Wu
IEEE Transactions on Industrial Informatics 17 (3), 2052-2061, 2019
2542019
IRS-assisted secure UAV transmission via joint trajectory and beamforming design
X Pang, N Zhao, J Tang, C Wu, D Niyato, KK Wong
IEEE Transactions on Communications 70 (2), 1140-1152, 2021
2502021
Mobile edge computing for the internet of vehicles: Offloading framework and job scheduling
J Feng, Z Liu, C Wu, Y Ji
IEEE vehicular technology magazine 14 (1), 28-36, 2018
1912018
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
1782020
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
1772018
Flexible, portable, and practicable solution for routing in VANETs: A fuzzy constraint Q-learning approach
C Wu, S Ohzahata, T Kato
IEEE Transactions on Vehicular Technology 62 (9), 4251-4263, 2013
1772013
Collaborative learning of communication routes in edge-enabled multi-access vehicular environment
C Wu, Z Liu, F Liu, T Yoshinaga, Y Ji, J Li
IEEE Transactions on Cognitive Communications and Networking 6 (4), 1155-1165, 2020
1512020
A reliable energy efficient dynamic spectrum sensing for cognitive radio IoT networks
JA Ansere, G Han, H Wang, C Choi, C Wu
IEEE Internet of Things Journal 6 (4), 6748-6759, 2019
1402019
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
1372021
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
1332019
Spatial intelligence toward trustworthy vehicular IoT
C Wu, Z Liu, D Zhang, T Yoshinaga, Y Ji
IEEE Communications Magazine 56 (10), 22-27, 2018
1192018
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
1172019
VANET broadcast protocol based on fuzzy logic and lightweight retransmission mechanism
C Wu, S Ohzahata, T Kato
IEICE transactions on communications 95 (2), 415-425, 2012
1132012
Deep reinforcement learning for traffic signal control: A review
F Rasheed, KLA Yau, RM Noor, C Wu, YC Low
IEEE Access 8, 208016-208044, 2020
1102020
Big-data-based intelligent spectrum sensing for heterogeneous spectrum communications in 5G
X Liu, Q Sun, W Lu, C Wu, H Ding
IEEE Wireless Communications 27 (5), 67-73, 2020
1082020
Reinforcement learning-based multislot double-threshold spectrum sensing with Bayesian fusion for industrial big spectrum data
X Liu, C Sun, M Zhou, C Wu, B Peng, P Li
IEEE Transactions on Industrial Informatics 17 (5), 3391-3400, 2020
1082020
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