About Me

I am deeply passionate about designing and validating Software-Defined Radio (SDR)-based wireless 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 gained extensive experience in wireless communication system design and optimization.

To address challenges in energy consumption and computational complexity in modern and emerging wireless networks, I focused on leveraging RL to optimize resource allocation while balancing trade-offs among spectral efficiency, energy efficiency, and user fairness. Specifically, I designed a multi-objective RL (MORL) algorithm for optimizing transmission power allocation in massive antenna-aided base stations (BS) across multi-cellular networks, achieving joint optimization of these critical performance metrics. 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 TDD/TDMA, OFDM, and MIMO systems with advanced 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). I actively share my research methodologies and experimental results through my YouTube channel and GitHub repository, fostering global collaboration and advancing innovations in wireless communication technologies.