18 citations · 42 across the 9 of their papers we have counts for
Showing cs.ITShow all
3 papers · 1 filter
cs.IT2022
Deep Learning for Wireless Dynamics
Heunchul Lee, Jaeseong Jeong, Zhao Wang
This paper aims to predict radio channel variations over time by deep learning from channel observations without knowledge of the underlying channel dynamics. In next-generation wi…
cs.IT2021
Multi-agent deep reinforcement learning (MADRL) meets multi-user MIMO systems
Heunchul Lee, Jaeseong Jeong
A multi-agent deep reinforcement learning (MADRL) is a promising approach to challenging problems in wireless environments involving multiple decision-makers (or actors) with high-…
cs.IT2020★ 11 cited
Deep reinforcement learning approach to MIMO precoding problem: Optimality and Robustness
Heunchul Lee, Maksym Girnyk, Jaeseong Jeong
In this paper, we propose a deep reinforcement learning (RL)-based precoding framework that can be used to learn an optimal precoding policy for complex multiple-input multiple-out…