| Achieving sustainable ultra-dense heterogeneous networks for 5G J An, K Yang, J Wu, N Ye, S Guo, Z Liao IEEE Communications Magazine 55 (12), 84-90, 2017 | 265 | 2017 |
| Non-orthogonal multiple access: Achieving sustainable future radio access K Yang, N Yang, N Ye, M Jia, Z Gao, R Fan IEEE Communications Magazine 57 (2), 116-121, 2018 | 193 | 2018 |
| DeepNOMA: A unified framework for NOMA using deep multi-task learning N Ye, X Li, H Yu, L Zhao, W Liu, X Hou IEEE Transactions on Wireless Communications 19 (4), 2208-2225, 2020 | 147 | 2020 |
| Deep learning aided grant-free NOMA toward reliable low-latency access in tactile Internet of Things N Ye, X Li, H Yu, A Wang, W Liu, X Hou IEEE Transactions on Industrial Informatics 15 (5), 2995-3005, 2019 | 142 | 2019 |
| AI-driven blind signature classification for IoT connectivity: A deep learning approach J Pan, N Ye, H Yu, T Hong, S Al-Rubaye, S Mumtaz, A Al-Dulaimi, ... IEEE Transactions on Wireless Communications 21 (8), 6033-6047, 2022 | 85 | 2022 |
| Uplink nonorthogonal multiple access technologies toward 5G: A survey N Ye, H Han, L Zhao, A Wang Wireless Communications and Mobile Computing 2018 (1), 6187580, 2018 | 80 | 2018 |
| On constellation rotation of NOMA with SIC receiver N Ye, A Wang, X Li, W Liu, X Hou, H Yu IEEE Communications Letters 22 (3), 514-517, 2017 | 64 | 2017 |
| Help from space: Grant-free massive access for satellite-based IoT in the 6G era N Ye, J Yu, A Wang, R Zhang Digital Communications and Networks 8 (2), 215-224, 2022 | 55 | 2022 |
| Deep-learning-enhanced NOMA transceiver design for massive MTC: Challenges, state of the art, and future directions N Ye, J An, J Yu IEEE Wireless Communications 28 (4), 66-73, 2021 | 48 | 2021 |
| Energy-efficient base station association and beamforming for multi-cell multiuser systems J An, K Yang, X Gao, N Ye Sustainable Wireless Communications, 175-200, 2022 | 47 | 2022 |
| A review on non-terrestrial wireless technologies for Smart City Internet of Things A Wang, P Wang, X Miao, X Li, N Ye, Y Liu International Journal of Distributed Sensor Networks 16 (6), 1550147720936824, 2020 | 45 | 2020 |
| Beamspace MIMO-NOMA for millimeter-wave broadcasting via full-duplex D2D communications J Li, X Li, A Wang, N Ye IEEE Transactions on Broadcasting 66 (2), 545-554, 2020 | 28 | 2020 |
| Finite-alphabet signature design for grant-free NOMA: A quantized deep learning approach H Yu, Z Fei, Z Zheng, N Ye IEEE Transactions on Vehicular Technology 69 (10), 10975-10987, 2020 | 23 | 2020 |
| Deep learning-based user activity detection and channel estimation in grant-free NOMA H Yu, Z Fei, Z Zheng, N Ye, Z Han IEEE Transactions on Wireless Communications 22 (4), 2202-2214, 2022 | 20 | 2022 |
| Beam aggregation-based mmWave MIMO-NOMA: An AI-enhanced approach N Ye, X Li, J Pan, W Liu, X Hou IEEE Transactions on Vehicular Technology 70 (3), 2337-2348, 2021 | 20 | 2021 |
| Performance analysis for downlink MIMO‐NOMA in millimeter wave cellular network with D2D communications J Li, X Li, A Wang, N Ye Wireless Communications and Mobile Computing 2019 (1), 1914762, 2019 | 20 | 2019 |
| Optimal design of resource element mapping for sparse spreading non-orthogonal multiple access H Yu, Z Fei, N Yang, N Ye IEEE Wireless Communications Letters 7 (5), 744-747, 2018 | 19 | 2018 |
| A Deep Learning‐Aided Detection Method for FTN‐Based NOMA J Pan, N Ye, A Wang, X Li Wireless Communications and Mobile Computing 2020 (1), 5684851, 2020 | 18 | 2020 |
| Non-orthogonal wireless backhaul design for cell-free massive MIMO: An integrated computation and communication approach H Yu, N Ye, A Wang IEEE Wireless Communications Letters 10 (2), 281-285, 2020 | 16 | 2020 |
| Deep learning-aided constellation design for downlink NOMA L Jiang, X Li, N Ye, A Wang 2019 15th International Wireless Communications & Mobile Computing …, 2019 | 15 | 2019 |
Lian ZhaoToronto Metropolitan University在 torontomu.ca 的电子邮件经过验证
