Model-Driven Deep Learning for Physical Layer Communications H He, S Jin, CK Wen, F Gao, GY Li, Z Xu IEEE Wireless Communications, 2019 | 660 | 2019 |
Deep learning for massive MIMO CSI feedback CK Wen, WT Shih, S Jin IEEE Wireless Communications Letters 7 (5), 748-751, 2018 | 590 | 2018 |
Large intelligent surface-assisted wireless communication exploiting statistical CSI Y Han, W Tang, S Jin, CK Wen, X Ma IEEE Transactions on Vehicular Technology 68 (8), 8238-8242, 2019 | 537 | 2019 |
Deep learning for wireless physical layer: Opportunities and challenges T Wang, CK Wen, H Wang, F Gao, T Jiang, S Jin China Communications 14 (11), 92-111, 2017 | 515 | 2017 |
Deep learning-based channel estimation for beamspace mmWave massive MIMO systems H He, CK Wen, S Jin, GY Li IEEE Wireless Communications Letters 7 (5), 852-855, 2018 | 510 | 2018 |
Uplink achievable rate for massive MIMO systems with low-resolution ADC L Fan, S Jin, CK Wen, H Zhang IEEE Communications Letters 19 (12), 2186-2189, 2015 | 309 | 2015 |
Bayes-optimal joint channel-and-data estimation for massive MIMO with low-precision ADCs CK Wen, CJ Wang, S Jin, KK Wong, P Ting IEEE Transactions on Signal Processing 64 (10), 2541-2556, 2015 | 308 | 2015 |
Channel estimation for massive MIMO using Gaussian-mixture Bayesian learning CK Wen, S Jin, KK Wong, JC Chen, P Ting IEEE Transactions on Wireless Communications 14 (3), 1356-1368, 2014 | 305 | 2014 |
Deep learning-based CSI feedback approach for time-varying massive MIMO channels T Wang, CK Wen, S Jin, GY Li IEEE Wireless Communications Letters 8 (2), 416-419, 2018 | 253 | 2018 |
Decentralized plug-in electric vehicle charging selection algorithm in power systems CK Wen, JC Chen, JH Teng, P Ting IEEE Transactions on Smart Grid 3 (4), 1779-1789, 2012 | 238 | 2012 |
A model-driven deep learning network for MIMO detection H He, CK Wen, S Jin, GY Li 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 222 | 2018 |
On capacity of large-scale MIMO multiple access channels with distributed sets of correlated antennas J Zhang, CK Wen, S Jin, X Gao, KK Wong IEEE Journal on Selected Areas in Communications 31 (2), 133-148, 2013 | 220 | 2013 |
Model-driven deep learning for MIMO detection H He, CK Wen, S Jin, GY Li IEEE Transactions on Signal Processing 68, 1702-1715, 2020 | 207 | 2020 |
ComNet: Combination of deep learning and expert knowledge in OFDM receivers X Gao, S Jin, CK Wen, GY Li IEEE Communications Letters 22 (12), 2627-2630, 2018 | 195 | 2018 |
Convolutional neural network-based multiple-rate compressive sensing for massive MIMO CSI feedback: Design, simulation, and analysis J Guo, CK Wen, S Jin, GY Li IEEE Transactions on Wireless Communications 19 (4), 2827-2840, 2020 | 185 | 2020 |
Deep reinforcement learning based intelligent reflecting surface optimization for MISO communication systems K Feng, Q Wang, X Li, CK Wen IEEE Wireless Communications Letters 9 (5), 745-749, 2020 | 179 | 2020 |
Mixed-ADC massive MIMO detectors: Performance analysis and design optimization TC Zhang, CK Wen, S Jin, T Jiang IEEE transactions on wireless communications 15 (11), 7738-7752, 2016 | 143 | 2016 |
System design of the internet of things for residential smart grid SK Viswanath, C Yuen, W Tushar, WT Li, CK Wen, K Hu, C Chen, X Liu IEEE Wireless Communications 23 (5), 90-98, 2016 | 141 | 2016 |
On the sum-rate of multiuser MIMO uplink channels with jointly-correlated Rician fading CK Wen, S Jin, KK Wong IEEE transactions on communications 59 (10), 2883-2895, 2011 | 105 | 2011 |
Demand response management for residential smart grid: From theory to practice WT Li, C Yuen, NU Hassan, W Tushar, CK Wen, KL Wood, K Hu, X Liu IEEE Access 3, 2431-2440, 2015 | 95 | 2015 |