Projects
Center for Wireless Communications (CWC), UC San Diego
Nokia Bell Labs Project
- Energy-Efficient G-agnostic RAN through Software-Defined Baseband and Adaptive Fronthaul (Oct.2026 - current)
- Energy and Carbon for Wireless (Oct. 2025 - Sep. 2026)
Graduate Student Researcher (GSR)
- Advanced MIMO transceiver algorithms
- Energy-efficient MIMO algorithms for next generation AI-RAN (vRAN / O-RAN)
- AI/ML-based digital predistortion (DPD) technique
6G Research Team, Samsung Research (SR), Samsung Electronics
vRAN Development Project for AI-RAN (on assignment to the Samsung Networks Business)
- Developed and tested vDU software for the North American market on COTS servers (HPE / DELL)
- Validated cloud-native/containerized vDU deployments and verified PHY-layer performance
- Contributed to O-RAN compliant vRAN platform
Task on Uplink Performance Improvement (ULPI) in O-RAN standard
- Developed an advanced MIMO receiver to optimize the O-RAN functional split option 7-2x
- Proposed a low-complexity SVD-based compression method (2 patents)
6G Testbed (TB) Development Project
- Demonstrated a 100 Gbps transmission at the Samsung Tech Fair 2022
- Defined 6G THz TB Key Performance Indicators (KPIs) and Specification (PDSCH, PUSCH, PDCCH, PUCCH, SSB, PRACH)
- Created a Link-Level Simulator (LLS) for 6G TB (Floating/Fixed Point Modeling)
- Implemented RTL projects for 6G TB hardware FPGA Platform
- Developed MIMO receiver algorithms toward 6G candidate frequency bands (e.g., sub-THz, FR3)
AI-based Smart Machine Development Project
- Improved the accuracy of lane detection algorithm for autonomous driving by using deep learning, such as convolutional neural network (CNN)
- Created the human following algorithm for healthcare robots by combining various kinds of sensor data
- Showcased the Samsung Bot at 2019 CES, Las Vegas, U.S.
Korea Advanced Institute of Science and Technology (KAIST)
Wireless Backhaul Downlink Systems Project, sponsored by ETRI
- Modeled a ray-tracing-based clustered delay line (CDL) channel
- Designed beamforming matrices based on limited feedback
- PI: Prof. Hyuncheol Park and Prof. Dongho Cho
Research Assistant (RA) and Teaching Assistant (TA)
- Conducted research on limited-feedback beamforming for massive MIMO wireless backhaul system
- Served as a TA for undergraduate laboratory courses, including C++ Programming and Electronic and Electrical Circuit Design
- Mentored undergraduate students