ISLAB

연구실 소개

ISLAB is focusing on machine learning, signal processing, and next-generation mobile communication systems. The research related to machine learning and signal processing includes compressive sensing, sparse signal recovery, matrix completion, financial big data analysis, and decision-making using supervised/unsupervised learning, radar/sonar/image signal analysis using reinforcement learning and meta-learning, etc. In relation to mobile communication systems, ISLAB is conducting research on massive MIMO transmission techniques for 6G mobile communications, ultra-reliable and low-latency communication (URLLC), and the design of future wireless networks based on artificial intelligence.