Research

인지증강 메타통신 ERC 연구센터 통신 및 지능 시스템 연구실에서는 메타통신을 비롯한 다양한 차세대 무선 이동통신 시스템에 관한 연구를 수행하고 있습니다. 
​ 2022년도 과학기술정보통신부와 한국연구재단이 지원하는 ERC센터 선도연구사업에서 “인지증강 메타통신” 연구 주제로 선정되어
향후 7년간 매년 20억원의 연구비를 지원받고 있습니다. 
​ 본 연구센터는 인간의 감각, 지능, 인체 능력을 강화시킬 인지증강과 관련된 인지정보를 효율적으로 전송하기 위한 메타통신이라는 새로운 개념을
도입함으로써 기존 통신 시스템의 영역을 뛰어넘는 새로운 패러다임을 제시하고 관련 학문 분야를 개척하는 것을 목표로 하고 있습니다. 
본 ERC센터에서는 메타통신 요소기술인 메타센싱, 메타전송, 메타표현 기술에 대한 연구를 활발히 수행하고 있습니다. 
​ 또한, 6세대(6G) 이동통신 시스템의 성능과 데이터전송 속도를 높이는 신호 처리 기술들을 지속적으로 연구하고 있습니다. 차세대 통신 시스템에 강화 학습과 같은 딥러닝 기법들을 접목하여 통신 시스템 최적화와 성능을 높이는 연구를 진행하고 있습니다.

Communication and Intelligent System Lab(CISL) is conducting research on various next-generation wireless mobile communication systems, including meta-communication.
In 2022, our research lab was selected as one of the Engineering Research Center (ERC) for the leading research project funded by the Ministry of Science and ICT and the National Research Foundation of Korea, with the research theme of "Cognitive Augmentation Meta-communication," and will receive annual research funding of KRW 2 billion for the next 7 years.
Our research center aims to propose a new paradigm that goes beyond the scope of existing communication systems by introducing a new concept of meta-communication, which efficiently transmits cognitive information related to cognitive augmentation, which enhances human senses, intelligence, and physical abilities. The ERC center is actively conducting research on meta-sensing, meta-transmission, and meta-representation technologies, which are essential elements of meta-communication.
Furthermore, we are continuously researching signal processing technologies that enhance the performance and data transmission speed of 6G mobile communication systems. We are also conducting research on applying deep learning techniques such as reinforcement learning to next-generation communication systems to optimize and enhance their performance.

Research Area
1. Wireless Communication
  • Multiple Antenna Systems

  • Orthogonal Frequency Division Multiplexing (OFDM)

  • Multi-Input Multi-Output (MIMO) theory

  • Relay systems

  • Antenna divesity scheme

  • Signal processing for communications

  • High Speed Physical layer modem design

  • Physical Layer Security

  • Wireless power transfer

  • Radar signal processing

2. Machine Learning based signal processing
  • Reinforcement learning approach

  • Message passing techniques

  • Energy Harvesting

  • Machine learning for communication systems