Følg
Seungnyun Kim
Seungnyun Kim
Laboratory for Information & Decision Systems, Massachusetts Institute of Technology
Verifisert e-postadresse på mit.edu - Startside
Tittel
Sitert av
Sitert av
År
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 25 (3), 344-354, 2023
782023
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
682022
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
582020
Toward 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 30 (5), 179-186, 2022
542022
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
462021
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
402022
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
392022
Energy-efficient millimeter-wave cell-free systems under limited feedback
S Kim, B Shim
IEEE Transactions on Communications 69 (6), 4067-4082, 2021
372021
FDD-based cell-free massive MIMO systems
S Kim, B Shim
2018 IEEE 19th International Workshop on Signal Processing Advances in …, 2018
302018
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 7 (2), 692-706, 2023
262023
Parametric sparse channel estimation for RIS-assisted terahertz systems
J Wu, S Kim, B Shim
IEEE Transactions on Communications 71 (9), 5503-5518, 2023
242023
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
242022
Channel estimation and phase shift control for UAV-carried RIS communication systems
Y Byun, H Kim, S Kim, B Shim
IEEE Transactions on Vehicular Technology 72 (10), 13695-13700, 2023
152023
Intelligent near-field channel estimation for terahertz ultra-massive MIMO systems
A Lee, H Ju, S Kim, B Shim
GLOBECOM 2022-2022 IEEE Global Communications Conference, 5390-5395, 2022
132022
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
132020
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
132017
Role of sensing and computer vision in 6G wireless communications
S Kim, J Moon, J Kim, Y Ahn, D Kim, S Kim, K Shim, B Shim
IEEE Wireless Communications, 2024
122024
Fast and accurate terahertz beam management via frequency-dependent beamforming
S Kim, J Park, J Moon, B Shim
IEEE Transactions on Wireless Communications 23 (3), 1699-1712, 2023
122023
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
122022
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 23 (1), 231-246, 2023
112023
Systemet kan ikke utføre handlingen. Prøv på nytt senere.
Artikler 1–20