Department : Department of Information Communication Engineering
Welcome to Future Intelligent Zystems Laboratory (FIZLab)! We focus on developing future wireless systems. Our key objectives include designing advanced wireless communication technologies, cultivating talent through next-generation wireless network exploration, and contributing to academia and industry.
Current research interests encompass 6G systems, intelligent wireless networking, and connected intelligent systems.
📢 FIZLab은 AI와 무선 통신 및 센싱에 관심이 있는 학부 인턴 및 대학원생을 모집하고 있습니다.
지도교수 : 노현호
논문
Beamforming Optimization and Feedback Allocation for Multistatic Multi-User MIMO-OFDM ISAC Systems
α-Fair Multistatic ISAC Beamforming for Multi-User MIMO-OFDM Systems via Riemannian Optimization
Group-wise Semantic Splitting Multiple Access for Multi-User Semantic Communication
DCFNet: Doppler Correction Filter Network for Integrated Sensing and Communication in Multi-User MIMO-OFDM Systems
Secure Multi-Hop Relaying in Large-Scale Space-Air-Ground-Sea Integrated Networks
Robust Transmission of Punctured Text with Large Language Model-based Recovery
ALERT Open Dataset and Input-Size-Agnostic Vision Transformer for Driver Activity Recognition Using IR-UWB
Large Multimodal Models-Empowered Task-Oriented Autonomous Communications: Design Methodology and Implementation Challenges
Adaptive Resource Allocation Optimization Using Large Language Models in Dynamic Wireless Environments
Joint Optimization on Uplink OFDMA and MU-MIMO for IEEE 802.11ax: Deep Hierarchical Reinforcement Learning Approach
Deep Reinforcement Learning-based Resource Allocation and Mode Selection for Semantic Communication
Leveraging Multiple PRF Radar for Target Detection and Sea Clutter Suppression with Deep Learning Network
ICI-Robust Transceiver Design for Integration of MIMO-OFDM Radar and MU-MIMO Communication
Performance Analysis of Beamforming for Radar and Communications Coexisting Systems
Beam Synthesis under Feasible Scenarios for Radar and Communications Combined Systems