Research

My research interests span information theory, channel coding, and machine learning applications in wireless communications. I focus on developing novel coding schemes and optimization techniques for next-generation wireless systems, with particular emphasis on short packet communications and URLLC scenarios.

Current Research Areas

Channel Coding

Channel coding is fundamental to reliable digital communication systems, providing error correction capabilities that enable robust data transmission over noisy channels. As wireless systems evolve towards 6G with stringent requirements for ultra-low latency, high reliability, and massive connectivity, advanced channel coding techniques become increasingly critical.

Figure 1: Channel coding system

My research focuses on two primary areas: advanced polar coding for future wireless communication systems and deep learning-enhanced error correction. These approaches address the evolving challenges of next-generation wireless networks, particularly in URLLC scenarios requiring error rates below $10^{-9}$ with sub-millisecond latency constraints.

→ Advanced Polar Coding Techniques [Link]
Comprehensive research on polar codes, deep polar codes, SPP codes, and rate-matching methods

Deep Learning-Enhanced Error Correction

Modern communication systems increasingly benefit from machine learning approaches to channel coding. My research focuses on neural network-based decoders that can learn optimal decision boundaries and adapt to channel conditions, particularly for non-binary codes and high-order modulation schemes.

We focus on error correction code transformer (ECCT) optimized for high-order modulation, non-binary code extensions.

Research Philosophy

My research philosophy centers on bridging theoretical rigor with practical impact:

• Theory-Practice Bridge: Developing theoretically sound solutions with clear practical benefits
• Interdisciplinary Approach: Leveraging machine learning to enhance classical communication techniques
• Implementation Focus: Creating efficient algorithms suitable for real-world deployment
• Collaborative Research: Fostering partnerships between academia and industry

Contact: geon.choi@postech.ac.kr

For a complete list of publications and technical details, please visit the Publications page.