A vision of 6G wireless systems: Applications, trends, technologies, and open research problems W Saad, M Bennis, M Chen IEEE Network, 2020 | 3788 | 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 | 1302* | 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 | 1287 | 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 | 877 | 2020 |
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 | 792 | 2017 |
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 39 (12), 3579-3605, 2021 | 415 | 2021 |
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 | 330 | 2020 |
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 | 274 | 2021 |
Federated learning for 6G: Applications, challenges, and opportunities Z Yang, M Chen, KK Wong, HV Poor, S Cui Engineering 8, 33-41, 2022 | 262 | 2022 |
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 | 258 | 2021 |
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 | 258 | 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 | 239* | 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 | 228 | 2020 |
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 | 216 | 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 | 207 | 2017 |
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 | 191 | 2020 |
Wireless Communications for Collaborative Federated Learning M Chen, HV Poor, W Saad, S Cui IEEE Communications Magazine, 2020 | 187 | 2020 |
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 | 179 | 2019 |
Sum-rate maximization of uplink rate splitting multiple access (RSMA) communication Z Yang, M Chen, W Saad, W Xu, M Shikh-Bahaei IEEE Transactions on Mobile Computing 21 (7), 2596-2609, 2020 | 128 | 2020 |
Optimization of rate allocation and power control for rate splitting multiple access (RSMA) Z Yang, M Chen, W Saad, M Shikh-Bahaei IEEE Transactions on Communications 69 (9), 5988-6002, 2021 | 119 | 2021 |