A deep learning approach for automotive radar interference mitigation J Mun, H Kim, J Lee 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-5, 2018 | 56 | 2018 |
Action-bounding for reinforcement learning in energy harvesting communication systems H Kim, H Yang, Y Kim, J Lee 2018 IEEE Global Communications Conference (GLOBECOM), 1-7, 2018 | 7 | 2018 |
Optimized shallow neural networks for sum-rate maximization in energy harvesting downlink multiuser NOMA systems H Kim, T Cho, J Lee, W Shin, HV Poor IEEE Journal on Selected Areas in Communications 39 (4), 982-997, 2020 | 6 | 2020 |
Rate maximization with reinforcement learning for time-varying energy harvesting broadcast channels H Kim, W Shin, H Yang, N Lee, J Lee 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 6 | 2019 |
On the design of tailored neural networks for energy harvesting broadcast channels: A reinforcement learning approach H Kim, J Kim, W Shin, H Yang, N Lee, SJ Kim, J Lee IEEE Access 8, 179678-179691, 2020 | 4 | 2020 |
RL-based transmission completion time minimization with energy harvesting for time-varying channels H Kim, W Shin, H Yang, J Lee 2020 IEEE International Conference on Communications Workshops (ICC …, 2020 | 3 | 2020 |
Shallow reinforcement learning for energy harvesting communications with imperfect channel knowledge H Kim, J Lee, W Shin, HV Poor IEEE Journal of Selected Topics in Signal Processing 15 (5), 1258-1271, 2021 | 1 | 2021 |
An Efficient Neural Network Architecture for Rate Maximization in Energy Harvesting Downlink Channels H Kim, T Cho, J Lee, W Shin, HV Poor 2020 IEEE International Symposium on Information Theory (ISIT), 2498-2503, 2020 | | 2020 |