Machine learning for wireless networks with artificial intelligence: A tutorial on neural networks M Chen, U Challita, W Saad, C Yin, M Debbah arXiv preprint arXiv:1710.02913 9, 2017 | 1118* | 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 | 1039 | 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 | 744 | 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 | 221 | 2018 |
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 | 200 | 2017 |
A squaring method to simplify the decoding of orthogonal space-time block codes X Li, T Luo, G Yue, C Yin IEEE Transactions on Communications 49 (10), 1700-1703, 2001 | 196 | 2001 |
Multicarrier Broadband Wireless Communication Technologies C Yin, T Luo, G Yue Beijing University of Posts and Telecommunications Press, 2004 | 185* | 2004 |
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 | 165 | 2019 |
Lightweight management of resource-constrained sensor devices in internet of things Z Sheng, H Wang, C Yin, X Hu, S Yang, VCM Leung IEEE internet of things journal 2 (5), 402-411, 2015 | 138 | 2015 |
Scaling laws for overlaid wireless networks: A cognitive radio network versus a primary network C Yin, L Gao, S Cui IEEE/ACM transactions on networking 18 (4), 1317-1329, 2010 | 137 | 2010 |
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 16 (1), 3-16, 2016 | 114 | 2016 |
Echo-liquid state deep learning for 360° content transmission and caching in wireless VR networks with cellular-connected UAVs M Chen, W Saad, C Yin IEEE Transactions on Communications 67 (9), 6386-6400, 2019 | 105 | 2019 |
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 | 102 | 2019 |
Performance analysis of routing protocol for low power and lossy networks (RPL) in large scale networks X Liu, Z Sheng, C Yin, F Ali, D Roggen IEEE Internet of Things Journal 4 (6), 2172-2185, 2017 | 91 | 2017 |
Reduced-complexity proportional fair scheduling for OFDMA systems Z Sun, C Yin, G Yue 2006 International Conference on Communications, Circuits and Systems 2 …, 2006 | 81 | 2006 |
Optimal impulse response shortening for discrete multitone transceivers C Yin, G Yue Electronics Letters 34 (1), 35-35, 1998 | 80 | 1998 |
Joint resource allocation and computation offloading in mobile edge computing for SDN based wireless networks N Kiran, C Pan, S Wang, C Yin Journal of Communications and Networks 22 (1), 1-11, 2019 | 77 | 2019 |
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 | 73 | 2019 |
Transmission capacities for overlaid wireless ad hoc networks with outage constraints C Yin, L Gao, T Liu, S Cui 2009 IEEE International Conference on Communications, 1-5, 2009 | 68 | 2009 |
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 | 67 | 2017 |