Changchuan Yin
Changchuan Yin
Professor, School of Information and Communication Engineering, BUPT
Verified email at
Cited by
Cited by
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
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
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
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
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
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
Multicarrier Broadband Wireless Communication Technologies
C Yin, T Luo, G Yue
Beijing University of Posts and Telecommunications Press, 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
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
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
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
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
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
Federated learning for audio semantic communication
H Tong, Z Yang, S Wang, Y Hu, O Semiari, W Saad, C Yin
Frontiers in communications and networks 2, 734402, 2021
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
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
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
Federated learning for task and resource allocation in wireless high-altitude balloon networks
S Wang, M Chen, C Yin, W Saad, CS Hong, S Cui, HV Poor
IEEE Internet of Things Journal 8 (24), 17460-17475, 2021
Reduced-complexity proportional fair scheduling for OFDMA systems
Z Sun, C Yin, G Yue
2006 International Conference on Communications, Circuits and Systems 2…, 2006
Optimal impulse response shortening for discrete multitone transceivers
C Yin, G Yue
Electronics Letters 34 (1), 35-35, 1998
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