LG Electronics - KAIST 6G Research Center

LG Electronics and KAIST are establishing a 6G Research Center to secure advanced and fundamental technologies for future 6G communication and Beyond 5G convergence businesses. The 6G Expert Conference will provide a platform for exchange and collaboration among industry, academia, and research institutions.

Development and verification of TeraHertz frequency-based wireless transmission technology for next generation mobile communication
(Prof. Cho, Dong Ho)

• This research aims to develop core transmission technologies in the TeraHertz and upper mid-band frequency ranges for future next-generation mobile communications. The project focuses on core RF front-end technologies applicable to wireless transceivers operating in these frequency bands, along with novel techniques for phase noise (PN) mitigation to enable high-order modulation, AI-based beam management, and multi-RAT spectrum sharing (MRSS) for 6G mobile networks.

Development of the next-generation 6G channel codes (Prof. Ha, Jeongseok)

• As part of a cutting-edge research collaboration between KAIST and LG Electronics, we are pioneering the development of next-generation error-correcting codes and decoding algorithms to meet the demands of 6G wireless communication. Our efforts are particularly concentrated on advanced polar codes and low-density parity-check (LDPC) codes, which are designed to deliver ultra-low latency and computational complexity while achieving exceptional error-correction performance. Beyond practical implementations, we are also deeply engaged in theoretical investigations to advance the foundational principles of modern coding theory.

Research on new encryption algorithms for 6G security (Prof. Lee, Jooyoung)

• Improving the efficiencty of MPC protocols that can be used for threshold signature schemes
• Designing post-quantum threshold signature schemes suitable for blockchains
• Building a generic tool for finding security vulnerabilities in layer-2 blockchain implementations
• Designing security enhancements for layer-2 protocols that address the discovered vulnerabilities

Long-range Ambient IoT (Prof. Kim, Song Min)

• Ambient IoT is a core technology for 6G that achieves ultra-low-power (~μW) communication by utilizing the reflection of RF signals. This enables cost-effective, large-scale deployment for use cases such as smart factories and smart farms. We are actively researching breakthrough solutions to create ultra-low-power Ambient IoT by harnessing the opportunities presented by the prevalence of cellular signals.

Development of STAR-RIS Core Technology (Prof. Lee, Si-Hyeon)

• This research aims to mitigate indoor and outdoor shadowing caused by high signal attenuation at higher frequency bands by depolying STAR-RIS on building windows. It seeks to maximize communication performance through phase optimization and to offer technical insights through performance analysis.

6G Communication Technology: Development of Multi-Functional Reconfigurable Intelligent Surface (RIS) as Future Application Enabler
(Prof. Choi, Junil)

• This research project aims to develop core technologies for beyond-5G wireless communication systems with the assistance of an RIS. Our focus is on maximizing system performance across various RIS-aided applications. Our current research includes an effective channel estimation method using a Bayesian framework in millimeter-wave systems, an efficient beam training algorithm in integrated sensing and communication (ISAC) systems, and a rate-splitting multiple access (RSMA) technique in orthogonal frequency division multiplexing (OFDM) systems.

Signal Source Generation and Beamforming Algorithm for mmwave MIMO OFDM Radar-Communication
(Prof. Choi, Jinseok)

• Fundamental research is being conducted on joint communication and radar sensing (JCAS) technologies to support next-generation wireless systems. The focus lies in developing advanced resource optimization, AI-based predictive beamforming, sparse signal recovery, and new waveform design techniques that simultaneously enhance communication spectral efficiency and radar sensing performance. We aim to establish a unified system framework adaptable to dynamic environments and practical constraints.