| Downlink pilot precoding and compressed channel feedback for FDD-based cell-free systems S Kim, JW Choi, B Shim IEEE Transactions on Wireless Communications 19 (6), 3658-3672, 2020 | 46 | 2020 |
| Energy-efficient ultra-dense network using LSTM-based deep neural networks S Kim, J Son, B Shim IEEE Transactions on Wireless Communications 20 (7), 4702-4715, 2021 | 37 | 2021 |
| Deep reinforcement learning-based network slicing for beyond 5G K Suh, S Kim, Y Ahn, S Kim, H Ju, B Shim IEEE Access 10, 7384-7395, 2022 | 35 | 2022 |
| Energy-efficient millimeter-wave cell-free systems under limited feedback S Kim, B Shim IEEE Transactions on Communications 69 (6), 4067-4082, 2021 | 29 | 2021 |
| FDD-based cell-free massive MIMO systems S Kim, B Shim 2018 IEEE 19th International Workshop on Signal Processing Advances in …, 2018 | 28 | 2018 |
| Towards 6G hyper-connectivity: Vision, challenges, and key enabling technologies H Lee, B Lee, H Yang, J Kim, S Kim, W Shin, B Shim, HV Poor Journal of Communications and Networks, 2023 | 27 | 2023 |
| Towards intelligent millimeter and terahertz communication for 6G: Computer vision-aided beamforming Y Ahn, J Kim, S Kim, K Shim, J Kim, S Kim, B Shim IEEE Wireless Communications, 2022 | 19 | 2022 |
| Energy-efficient ultra-dense network with deep reinforcement learning H Ju, S Kim, Y Kim, B Shim IEEE Transactions on Wireless Communications 21 (8), 6539-6552, 2022 | 19 | 2022 |
| Energy-efficient power control and beamforming for reconfigurable intelligent surface-aided uplink IoT networks J Wu, S Kim, B Shim IEEE Transactions on Wireless Communications 21 (12), 10162-10176, 2022 | 18 | 2022 |
| Near-field channel estimation for ris-assisted wideband terahertz systems J Wu, S Kim, B Shim GLOBECOM 2022-2022 IEEE Global Communications Conference, 3893-3898, 2022 | 17 | 2022 |
| Parametric sparse channel estimation for RIS-assisted terahertz systems J Wu, S Kim, B Shim IEEE Transactions on Communications, 2023 | 15 | 2023 |
| Energy-efficient ultra-dense network using deep reinforcement learning H Ju, S Kim, YJ Kim, H Lee, B Shim 2020 IEEE 21st International Workshop on Signal Processing Advances in …, 2020 | 13 | 2020 |
| Energy-efficient user association in mmWave/THz ultra-dense network via multi-agent deep reinforcement learning J Moon, S Kim, H Ju, B Shim IEEE Transactions on Green Communications and Networking, 2023 | 12 | 2023 |
| AOA-TOA based localization for 5G cell-less communications S Kim, S Park, H Ji, B Shim 2017 23rd Asia-Pacific Conference on Communications (APCC), 1-6, 2017 | 11 | 2017 |
| Parametric sparse channel estimation using long short-term memory for mmwave massive mimo systems J Kim, Y Ahn, S Kim, B Shim ICC 2022-IEEE International Conference on Communications, 1397-1402, 2022 | 10 | 2022 |
| Efficient channel probing and phase shift control for mmWave reconfigurable intelligent surface-aided communications S Kim, J Wu, B Shim IEEE Transactions on Wireless Communications, 2023 | 7 | 2023 |
| Fast terahertz beam training via frequency-dependent precoding J Park, S Kim, J Moon, B Shim 2022 IEEE International Conference on Communications Workshops (ICC …, 2022 | 6 | 2022 |
| Energy-efficient mmWave UDN using distributed multi-agent deep reinforcement learning J Moon, H Ju, S Kim, B Shim 2021 IEEE International Conference on Communications Workshops (ICC …, 2021 | 6 | 2021 |
| Energy efficient ultra-dense network using long short-term memory J Son, S Kim, B Shim 2020 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2020 | 6 | 2020 |
| Feedback reduction for beyond 5G cellular systems S Kim, JW Choi, B Shim ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 6 | 2019 |
Byonghyo ShimProfessor, Department of Electrical and Computer Engineering, Seoul National UniversityVerified email at snu.ac.kr
