Choi Junil Lab
Choi Junil Lab
KAIST · Electrical Engineering
Professor
Prof. 최준일
Professor's page · publicationsAbout
KAIST 전기및전자공학부 최준일(Junil Choi) 교수의 지능형 통신시스템 연구실(Intelligent Communication Systems Lab, ICL)이다. massive MIMO, 밀리미터파/THz 통신, 차량통신(V2X), IoT용 D2D 통신 등 차세대 무선통신 시스템을 연구하며, 신호처리·최적화·압축센싱·머신러닝 기법을 활용한다. 재구성 가능 지능형 표면(RIS), 비지상 네트워크(NTN), 6G 등을 주요 주제로 다룬다.
Research keywords
Selected publications
- Machine-Learning Techniques for Wireless Channel Prediction: Insights and Practical GuidanceIEEE Wireless Communications (WCM) · 2026
- Evolution of UE in Massive MIMO for 6G: From Passive to ActiveIEEE Communications Magazine (COMMAG) · 2026
- Sum Rate Maximization for Distortion-Aware RSMA System via Accelerated Gradient-Based Precoding With Near-Optimal Power ScalingIEEE Transactions on Communications (TCOM) · 2026
- Robust Beamforming Under Beam Split and Angular Uncertainty in Terahertz CommunicationsIEEE Wireless Communications Letters (WCL) · 2026
- Channel Estimation for mmWave Systems via Deep Generative Compressed SensingIEEE Transactions on Wireless Communications (TWC) · 2026
- Weighted Sum-Rate Maximization for STAR-RIS-Aided FDD Communication SystemsIEEE Wireless Communications Letters (WCL) · 2026
Other labs in this department
- Kim Dongjoon LabRecruiting
Dongjun Kim
Computer architecture, interconnection networks, mobile systems, hardware security
- Kim Moonchul LabRecruiting
Munchurl Kim
Video coding, pattern recognition, visual communications
- Kim Minjun LabRecruiting
Min Jun Kim
Physical robot interaction, collaborative robots, aerial manipulation
- Kim Seongmin LabRecruiting
Song Min Kim
Wireless systems and networks, mobile computing, IoT
- Kim Yonghoon LabRecruiting
Yong-Hoon Kim
Atomic-scale device simulations, high-performance/machine-learning scientific computing
- Kim Junmo LabRecruiting
Junmo Kim
Statistical signal processing, image processing, computer vision, information theory