| Artificial intelligence-enabled cellular networks: A critical path to beyond-5G and 6G R Shafin, L Liu, V Chandrasekhar, H Chen, J Reed, JC Zhang IEEE Wireless Communications 27 (2), 212-217, 2020 | 263 | 2020 |
| Enabling cyber-physical communication in 5G cellular networks: challenges, spatial spectrum sensing, and cyber-security R Atat, L Liu, H Chen, J Wu, H Li, Y Yi IET Cyber-Physical Systems: Theory & Applications 2 (1), 49-54, 2017 | 180 | 2017 |
| Method and apparatus for reference signals in wireless system Y Nam, H Chen, BL Ng, V Chandrasekhar US Patent 10,708,028, 2020 | 113 | 2020 |
| Deep residual learning meets OFDM channel estimation L Li, H Chen, HH Chang, L Liu IEEE Wireless Communications Letters 9 (5), 615-618, 2019 | 106 | 2019 |
| Method and apparatus for system information delivery in advanced wireless systems YH Nam, V Chandrasekhar, L Guo, H Chen US Patent 10,492,157, 2019 | 105 | 2019 |
| Method and apparatus for mapping initial access signals in wireless systems H Chen, L Guo, YH Nam, A Papasakellariou US Patent 10,362,610, 2019 | 92 | 2019 |
| Method and apparatus for SS block index and timing indication in wireless systems H Chen, YH Nam, C He, V Chandrasekhar, H Si, BL Ng US Patent 11,122,497, 2021 | 89 | 2021 |
| Spatial Spectrum Sensing-Based Device-to-Device Cellular Networks H Chen, L Liu, T Novlan, JD Matyjas, BL Ng, J Zhang IEEE Transactions on Wireless Communications 15 (11), 7299-7313, 2016 | 61 | 2016 |
| Self-tuning sectorization: Deep reinforcement learning meets broadcast beam optimization R Shafin, H Chen, YH Nam, S Hur, J Park, J Zhang, JH Reed, L Liu IEEE Transactions on Wireless Communications 19 (6), 4038-4053, 2020 | 54 | 2020 |
| FadeNet: Deep Learning-Based mm-Wave Large-Scale Channel Fading Prediction and its Applications VV Ratnam, H Chen, S Pawar, B Zhang, CJ Zhang, YJ Kim, S Lee, M Cho, ... IEEE Access 9, 3278-3290, 2020 | 42 | 2020 |
| Method and SS block time locations and SS burst set composition for NR unlicensed spectrum Y Li, H Si, L Liu, YH Nam, H Chen US Patent 10,462,761, 2019 | 36 | 2019 |
| Opportunistic Channel Access Using Reinforcement Learning in Tiered CBRS Networks M Tonnemacher, C Tarver, V Chandrasekhar, H Chen, P Huang, BL Ng, ... 2018 IEEE International Symposium on Dynamic Spectrum Access Networks …, 2018 | 32 | 2018 |
| GPU-Based, LDPC Decoding for 5G and Beyond C Tarver, M Tonnemacher, H Chen, J Zhang, JR Cavallaro IEEE Open Journal of Circuits and Systems 2, 278-290, 2021 | 31 | 2021 |
| QoS-aware D2D cellular networks with spatial spectrum sensing: A stochastic geometry view H Chen, L Liu, HS Dhillon, Y Yi IEEE Transactions on Communications 67 (5), 3651-3664, 2018 | 28 | 2018 |
| Expected path duration maximized routing algorithm in cr-vanets J Liu, P Ren, S Xue, H Chen Communications in China (ICCC), 2012 1st IEEE International Conference on …, 2012 | 28 | 2012 |
| Accelerating Model Free Reinforcement Learning with Imperfect Model Knowledge in Dynamic Spectrum Access L Li, L Liu, J Bai, HH Chang, H Chen, JD Ashdown, J Zhang, Y Yi IEEE Internet of Things Journal, 2020 | 24 | 2020 |
| Method and apparatus for machine learning based wide beam optimization in cellular network H Chen, YH Nam, R Shafin, J Zhang US Patent 10,505,616, 2019 | 22 | 2019 |
| Decision-Driven Time-Adaptive Spectrum Sensing in Cognitive Radio Networks W Yin, H Chen IEEE Transactions on Wireless Communications 19 (4), 2756-2769, 2020 | 20 | 2020 |
| Optimal resource allocation for sensing-based spectrum sharing D2D networks Hao Chen, Lingjia Liu, John D. Matyjas, Michael J. Medley Computers and Electrical Engineering, 2015 | 19 | 2015 |
| Enabling a “Use-or-Share” Framework for PAL–GAA Sharing in CBRS Networks via Reinforcement Learning C Tarver, M Tonnemacher, V Chandrasekhar, H Chen, BL Ng, J Zhang, ... IEEE Transactions on Cognitive Communications and Networking 5 (3), 716-729, 2019 | 17 | 2019 |
Lingjia LiuElectrical and Computer Engineering Department, Virginia TechAdresse e-mail validée de vt.edu
