Current Research
Current Research
Hybrid Beamforming Architecture Design with Reinforcement Learning Approach
Supported by NVIDIA
Aug. 2021 ~ Present
Coordinated Multipoint (CoMP) Beamforming and Power Control under low-resolution ADCs and DACs
Power-efficient FFT with Dynamic Precision Allocation
Past Research
Past Research
6G Terabit communications
Samsung Future R&D
Period: Nov. 2017 - Aug. 2018
Detection for Massive MIMO system using one-bit ADCs
Electronics and Telecommunications Research Institute (ETRI)
Period: Jan. 2017 - Dec. 2017
Graduate Coursework
Graduate Coursework
Wireless Communications
Reinforcement Learning
Convex Optimization
Space-Time Communication
Statistical Machine Learning
Data Mining
Coding Theory
Numerical Analysis: Algebra & Approximation
Numerical Analysis: Linear Algebra
Linear Programming
Probability and Stochastic Process I