| Sparse Channel Estimation and Hybrid Precoding Using Deep Learning for Millimeter Wave Massive MIMO W Ma, C Qi, Z Zhang, J Cheng IEEE Transactions on Communications 68 (5), 2838-3849, 2020 | 217 | 2020 |
| Pilot design schemes for sparse channel estimation in OFDM systems C Qi, G Yue, L Wu, Y Huang, A Nallanathan IEEE Transactions on Vehicular Technology 64 (4), 1493-1505, 2015 | 117 | 2015 |
| Energy-Efficient Transceiver Design for Hybrid Sub-Array Architecture MIMO Systems S He, C Qi, Y Wu, Y Huang IEEE Access 4, 9895-9905, 2016 | 116 | 2016 |
| Optimized Pilot Placement for Sparse Channel Estimationin OFDM Systems C Qi, L Wu Signal Processing Letters, IEEE 18 (12), 749-752, 2011 | 115 | 2011 |
| A Study of Deterministic Pilot Allocation for Sparse Channel Estimation in OFDM Systems C Qi, L Wu IEEE Communications Letters 16 (5), 742-744, 2012 | 97 | 2012 |
| Hierarchical Codebook based Multiuser Beam Training for Millimeter Wave Massive MIMO C Qi, K Chen, O Dobre, GY Li IEEE Transactions on Wireless Communications 19 (12), 8142-8152, 2020 | 93 | 2020 |
| Beam Training and Allocation for Multiuser Millimeter Wave Massive MIMO Systems X Sun, C Qi, GY Li IEEE Transactions on Wireless Communications 18 (2), 1041-1053, 2019 | 90 | 2019 |
| Pilot Design for Sparse Channel Estimation in OFDM-Based Cognitive Radio Systems C Qi, G Yue, L Wu, A Nallanathan IEEE Transactions on Vehicular Technology 63 (2), 982-987, 2014 | 85 | 2014 |
| Machine Learning for Beam Alignment in Millimeter Wave Massive MIMO W Ma, C Qi, GY Li IEEE Wireless Communications Letters 9 (6), 875-878, 2020 | 84 | 2020 |
| Hybrid Beamforming for Millimeter Wave MIMO Integrated Sensing and Communications C Qi, W Ci, J Zhang, X You IEEE Communications Letters 26 (5), 1136-1140, 2022 | 82 | 2022 |
| Two-Step Codeword Design for Millimeter Wave Massive MIMO Systems with Quantized Phase Shifters K Chen, C Qi, GY Li IEEE Transactions on Signal Processing 68 (1), 170-180, 2020 | 74 | 2020 |
| Sparse channel estimation based on compressed sensing for massive MIMO systems C Qi, Y Huang, S Jin, L Wu 2015 IEEE International Conference on Communications (ICC), 4558-4563, 2015 | 67 | 2015 |
| Underwater acoustic channel estimation based on sparse recovery algorithms C Qi, X Wang, L Wu IET signal processing 5 (8), 739-747, 2011 | 64 | 2011 |
| Precoding Design for Energy Efficiency of Multibeam Satellite Communications C Qi, X Wang IEEE Communications Letters 22 (9), 1826-1829, 2018 | 61 | 2018 |
| High-Resolution Channel Estimation for Frequency-Selective mmWave Massive MIMO Systems W Ma, C Qi, GY Li IEEE Transactions on Wireless Communications 19 (5), 3517-3529, 2020 | 59 | 2020 |
| Acquisition of Channel State Information for mmWave Massive MIMO: Traditional and Machine Learning-based Approaches C Qi, P Dong, W Ma, H Zhang, Z Zhang, GY Li Science China Information Sciences 64 (8), 181301, 2021 | 57 | 2021 |
| A hybrid compressed sensing algorithm for sparse channel estimation in MIMO OFDM systems C Qi, L Wu 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 54 | 2011 |
| Uplink channel estimation for massive MIMO systems exploring joint channel sparsity C Qi, L Wu Electronics Letters 50 (23), 1770-1772, 2014 | 53 | 2014 |
| Near-optimal signal detector based on structured compressive sensing for massive SM-MIMO Z Gao, L Dai, C Qi, C Yuen, Z Wang IEEE Transactions on Vehicular Technology 66 (2), 1860-1865, 2017 | 50 | 2017 |
| Channel Estimation for Reconfigurable Intelligent Surface Aided Massive MIMO System J Zhang, C Qi, P Li, P Lu 2020 IEEE 21st International Workshop on Signal Processing Advances in …, 2020 | 48 | 2020 |