A vision of 6G wireless systems: Applications, trends, technologies, and open research problems W Saad, M Bennis, M Chen
IEEE Network, 2020
1517 2020 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
726 * 2019 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
631 2017 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
514 2020 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
247 2020 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
160 2017 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
155 2018 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
143 * 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
130 2019 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
123 2020 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
100 2016 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
96 2020 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
82 2020 Echo-liquid state deep learning for M Chen, W Saad, C Yin
IEEE Transactions on Communications, 2019
76 2019 Wireless Communications for Collaborative Federated Learning M Chen, HV Poor, W Saad, S Cui
IEEE Communications Magazine, 2020
66 2020 Federated echo state learning for minimizing breaks in presence in wireless virtual reality networks M Chen, O Semiari, W Saad, X Liu, C Yin
IEEE Transactions on Wireless Communications 19 (1), 177-191, 2019
62 2019 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
59 2020 Liquid state machine learning for resource allocation in a network of cache-enabled LTE-U UAVs M Chen, W Saad, C Yin
GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017
59 2017 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
57 2021 Data correlation-aware resource management in wireless virtual reality (VR): An echo state transfer learning approach M Chen, W Saad, C Yin, M Debbah
IEEE Transactions on Communications 67 (6), 4267-4280, 2019
52 2019 