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Mingzhe Chen
Mingzhe Chen
Assistant Professor, Electrical and Computer Engineering Department, University of Miami
Verified email at miami.edu - Homepage
Title
Cited by
Cited by
Year
A vision of 6G wireless systems: Applications, trends, technologies, and open research problems
W Saad, M Bennis, M Chen
IEEE Network, 2020
19842020
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial
M Chen, U Challita, W Saad, C Yin, M Debbah
IEEE Communications Surveys & Tutorials, 2019
869*2019
A joint learning and communications framework for federated learning over wireless networks
M Chen, Z Yang, W Saad, C Yin, HV Poor, S Cui
IEEE Transactions on Wireless Communications 20 (1), 269-283, 2020
6932020
Caching in the sky: Proactive deployment of cache-enabled unmanned aerial vehicles for optimized quality-of-experience
M Chen, M Mozaffari, W Saad, C Yin, M Debbah, CS Hong
IEEE Journal on Selected Areas in Communications 35 (5), 1046-1061, 2017
6812017
Energy efficient federated learning over wireless communication networks
Z Yang, M Chen, W Saad, CS Hong, M Shikh-Bahaei
IEEE Transactions on Wireless Communications 20 (3), 1935-1949, 2020
3712020
Virtual reality over wireless networks: Quality-of-service model and learning-based resource management
M Chen, W Saad, C Yin
IEEE Transactions on Communications 66 (11), 5621-5635, 2018
1762018
Convergence time optimization for federated learning over wireless networks
M Chen, HV Poor, W Saad, S Cui
IEEE Transactions on Wireless Communications 20 (4), 2457-2471, 2020
1752020
Echo state networks for proactive caching in cloud-based radio access networks with mobile users
M Chen, W Saad, C Yin, M Debbah
IEEE Transactions on Wireless Communications 16 (6), 3520-3535, 2017
1742017
Machine Learning for Wireless Connectivity and Security of Cellular-Connected UAVs
U Challita, A Ferdowsi, M Chen, W Saad
IEEE Wireless Communications 26 (1), 28 - 35, 2019
166*2019
Liquid state machine learning for resource and cache management in LTE-U unmanned aerial vehicle (UAV) networks
M Chen, W Saad, C Yin
IEEE Transactions on Wireless Communications 18 (3), 1504-1517, 2019
1452019
6G white paper on machine learning in wireless communication networks
S Ali, W Saad, N Rajatheva, K Chang, D Steinbach, B Sliwa, C Wietfeld, ...
arXiv preprint arXiv:2004.13875, 2020
1272020
Distributed learning in wireless networks: Recent progress and future challenges
M Chen, D Gündüz, K Huang, W Saad, M Bennis, AV Feljan, HV Poor
IEEE Journal on Selected Areas in Communications, 2021
1102021
Echo State Networks for Self-Organizing Resource Allocation in LTE-U with Uplink-Downlink Decoupling
M Chen, W Saad, C Yin
IEEE Transactions on Wireless Communications, 2016
1082016
Federated learning in the sky: Joint power allocation and scheduling with UAV swarms
T Zeng, O Semiari, M Mozaffari, M Chen, W Saad, M Bennis
ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020
1062020
Energy-efficient wireless communications with distributed reconfigurable intelligent surfaces
Z Yang, M Chen, W Saad, W Xu, M Shikh-Bahaei, HV Poor, S Cui
IEEE Transactions on Wireless Communications 21 (1), 665-679, 2021
1002021
UVeQFed: Universal vector quantization for federated learning
N Shlezinger, M Chen, YC Eldar, HV Poor, S Cui
IEEE Transactions on Signal Processing 69, 500-514, 2020
932020
Communication-efficient federated learning
M Chen, N Shlezinger, HV Poor, YC Eldar, S Cui
Proceedings of the National Academy of Sciences 118 (17), e2024789118, 2021
892021
Wireless Communications for Collaborative Federated Learning
M Chen, HV Poor, W Saad, S Cui
IEEE Communications Magazine, 2020
892020
Federated learning for 6G: Applications, challenges, and opportunities
Z Yang, M Chen, KK Wong, HV Poor, S Cui
Engineering, 2021
862021
Echo-liquid state deep learning for content transmission and caching in wireless VR networks with cellular-connected UAVs
M Chen, W Saad, C Yin
IEEE Transactions on Communications, 2019
832019
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