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Heasung Kim
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2020 – today
- 2023
- [i1]Heasung Kim, Sravan Ankireddy:
Learning RL-Policies for Joint Beamforming Without Exploration: A Batch Constrained Off-Policy Approach. CoRR abs/2310.08660 (2023) - 2022
- [c6]Heasung Kim, Hyeji Kim, Gustavo de Veciana:
Learning Variable-Rate Codes for CSI Feedback. GLOBECOM 2022: 1435-1441 - 2021
- [j3]Heasung Kim
, Taehyun Cho, Jungwoo Lee
, Wonjae Shin
, H. Vincent Poor
:
Optimized Shallow Neural Networks for Sum-Rate Maximization in Energy Harvesting Downlink Multiuser NOMA Systems. IEEE J. Sel. Areas Commun. 39(4): 982-997 (2021) - [j2]Heasung Kim
, Jungwoo Lee
, Wonjae Shin
, H. Vincent Poor
:
Shallow Reinforcement Learning for Energy Harvesting Communications With Imperfect Channel Knowledge. IEEE J. Sel. Top. Signal Process. 15(5): 1258-1271 (2021) - 2020
- [j1]Heasung Kim
, Jungtai Kim, Wonjae Shin
, Heecheol Yang
, Nayoung Lee, Seong Jin Kim
, Jungwoo Lee
:
On the Design of Tailored Neural Networks for Energy Harvesting Broadcast Channels: A Reinforcement Learning Approach. IEEE Access 8: 179678-179691 (2020) - [c5]Heasung Kim, Wonjae Shin, Heecheol Yang, Jungwoo Lee
:
RL-Based Transmission Completion Time Minimization with Energy Harvesting for Time-Varying Channels. ICC Workshops 2020: 1-7 - [c4]Heasung Kim, Taehyun Cho, Jungwoo Lee
, Wonjae Shin, H. Vincent Poor
:
An Efficient Neural Network Architecture for Rate Maximization in Energy Harvesting Downlink Channels. ISIT 2020: 2498-2503
2010 – 2019
- 2019
- [c3]Heasung Kim, Wonjae Shin, Heecheol Yang, Nayoung Lee, Jungwoo Lee
:
Rate Maximization with Reinforcement Learning for Time-Varying Energy Harvesting Broadcast Channels. GLOBECOM 2019: 1-6 - 2018
- [c2]Heasung Kim, Heecheol Yang, Yeongmo Kim, Jungwoo Lee
:
Action-Bounding for Reinforcement Learning in Energy Harvesting Communication Systems. GLOBECOM 2018: 1-7 - [c1]Jiwoo Mun, Heasung Kim, Jungwoo Lee
:
A Deep Learning Approach for Automotive Radar Interference Mitigation. VTC Fall 2018: 1-5
Coauthor Index
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