The first area of research is Physical/Link Layer Analysis and Design.
It is a research field for efficient communication of various channel environments and increasing multi-sensor data for intelligent mobility communication.
Optimization of physical and link layers directly determines the reliability and efficiency of data transfer; therefore, we are working on the performance improvement of both layers in limited resources. Our lab aims to conduct research to optimize performance by dynamically estimating channels according to various channel situations. In addition, we are working on the Ethernet backbone, which will be the core of mobility internal communication, and SerDes, signal processing technology for data high-speed links.

   The second area of research is network optimization. It is a field of research that efficiently manages data traffic and network complexity growth in many intelligent mobility environments. In mobility communication, it is also related to safety, so real-time is very important. We are conducting research on dynamically allocating networks and computing resources and setting optimal paths. Specifically, it can be seen as a study related to load-balancing, network slice, scheduling, caching, protocol, and RAN. These studies aim to end-to-end optimization by integrating all environments, including mobility internal communication, mobility-to-mobility communication and infrastructure communication.

   Finally, our lab is also exploring and conducting research on the future communication generation and the necessary device markets. In particular, we recognize the importance of AI-native network for 6G communication and Open-RAN, the next-generation cellular network architecture, and are conducting research on it. We are also working on researching various devices to which communication technology will be applied. For example, we are exploring the applicability of systems that require high performance, not only mobile phones and vehicles, but also drones and artificial intelligence robots (humanoids). Through collaborative research with the Brain-Machine Interface (BMI) team in the lab, we want to contribute to further developing human-machine communication.