| Deep neural network-based active user detection for grant-free NOMA systems W Kim, Y Ahn, B Shim IEEE Transactions on Communications 68 (4), 2143-2155, 2020 | 104 | 2020 |
| Towards deep learning-aided wireless channel estimation and channel state information feedback for 6G W Kim, Y Ahn, J Kim, B Shim Journal of Communications and Networks 25 (1), 61-75, 2023 | 44 | 2023 |
| Active user detection and channel estimation for massive machine-type communication: Deep learning approach Y Ahn, W Kim, B Shim IEEE Internet of Things Journal 9 (14), 11904-11917, 2021 | 35 | 2021 |
| Enhanced sparse vector coding for ultra-reliable and low latency communications W Kim, SK Bandari, B Shim IEEE Transactions on Vehicular Technology 69 (5), 5698-5702, 2020 | 34 | 2020 |
| Pilot-less sparse vector coding for short packet transmission H Ji, W Kim, B Shim IEEE Wireless Communications Letters 8 (4), 1036-1039, 2019 | 29 | 2019 |
| Channel aware sparse transmission for ultra low-latency communications in TDD systems W Kim, H Ji, B Shim IEEE Transactions on Communications 68 (2), 1175-1186, 2019 | 21 | 2019 |
| Sparse vector transmission: An idea whose time has come W Kim, H Ji, H Lee, Y Kim, J Lee, B Shim IEEE Vehicular Technology Magazine 15 (3), 32-39, 2020 | 17 | 2020 |
| Pilot-less one-shot sparse coding for short packet-based machine-type communications J Wu, W Kim, B Shim IEEE Transactions on Vehicular Technology 69 (8), 9117-9120, 2020 | 15 | 2020 |
| Ultra-mini slot transmission for 5G+ and 6G URLLC network W Kim, B Shim 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), 1-5, 2020 | 10 | 2020 |
| Active user detection of machine-type communications via dimension spreading neural network W Kim, G Lim, Y Ahn, B Shim ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 10 | 2019 |
| Deep neural network-based joint active user detection and channel estimation for mMTC Y Ahn, W Kim, B Shim ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020 | 9 | 2020 |
| New radio technologies for ultra reliable and low latency communications H Ji, W Kim, B Shim TENCON 2018-2018 IEEE Region 10 Conference, 1620-1623, 2018 | 9 | 2018 |
| Channel aware sparse signaling for ultra low-latency communication in TDD systems W Kim, H Ji, B Shim 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-5, 2018 | 4 | 2018 |
| Partial sample transmission and deep neural decoding for URLLC-based V2X systems W Kim, B Shim ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 3 | 2021 |
| Channel aware sparse signaling for ultra-low latency TDD access W Kim, H Ji, B Shim ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 3 | 2019 |
| Fast uplink access in TDD systems for ultra reliable and low latency communications W Kim, H Ji, B Shim TENCON 2018-2018 IEEE Region 10 Conference, 1616-1619, 2018 | 2 | 2018 |
| Toward deep learning-based wireless communication systems: Design perspective W Kim, Y Ahn, J Kim, B Shim IEEE Wireless Communications, 0 | 1 | |
| Device and method for channel estimation using short/long-term memory network in millimeter-wave communication system K Kim, WJ Kim, JH Kim, BH Shim, YJ AN US Patent App. 18/584,561, 2024 | | 2024 |
| Partial Sample Transmission and Deep Neural Decoding for URLLC V2X System W Kim, B Shim IEEE Transactions on Wireless Communications 21 (12), 10755-10765, 2022 | | 2022 |
| A STUDY OF SPARSITY-AWARE WIRELESS COMMUNICATION USING COMPRESSED SENSING AND DEEP LEARNING 김원준 서울대학교 대학원, 2021 | | 2021 |
Byonghyo ShimProfessor, Department of Electrical and Computer Engineering, Seoul National UniversityVerifisert e-postadresse på snu.ac.kr