I am deeply passionate about designing and validating Software-Defined Radio (SDR)-based radio frequency (RF) simulators/networks and optimizing them using reinforcement learning (RL) approaches. Over two years as an undergraduate intern and during my M.S. studies at the Smart Networking Lab (SNL) in Computer Science at Chosun University, I developed expertise in wireless communications and RF-based sensing.
Wireless technology has achieved remarkable advancements in frequency performance, yet these gains occur with increased energy consumption and computational complexity. To address these challenges, my work uses reinforcement learning to optimize resource allocation while balancing spectral and energy efficiency trade-offs. Specifically, I designed the reinforcement learning algorithm for massive antenna-aided base station (BS) transmission power allocation in multi-cellular networks. This work, published in IEEE Access, received the Best Paper Award at the 33rd Joint Conference on Communications and Information (JCCI).
I also designed and validated SDR-based transceivers, including Multi-Hop Routing algorithms, TDD/TDMA, OFDM, and MIMO systems with digital signal processing techniques. These efforts resulted in nine research papers presented at international and domestic conferences, including the Best Paper Award at the 2021 Winter Conference on Korea Information and Communications Society (KICS).
Lastly, I actively share my research methodologies and experimental results in wireless communication simulation and testbed development through my YouTube channel, fostering open collaboration and knowledge-sharing.
- Python
- LabVIEW & NXG
- MATLAB & GNU Octave
- Java
- C/C++
- PyTorch/TensorFlow (For Deep Learning Development)
- Open AI Gym/StableBaselines (For Reinforcement Learning Development)
- LabVIEW/Communications System Design Suite (For Wireless Communication System Design and Validation)
- Python Flask (For Frontend development)
- Android Studio/Java (For Mobile Application development)
- M.S. in the Department of Computer Engineering, Chosun University.
- B.S. in the Department of Computer Engineering, Chosun University.