Introduction

Laboratory Introduction

Overview

Our laboratory conducts research on next-generation wireless communication systems encompassing Satellite, UAV (Unmanned Aerial Vehicles), Cellular, and IoT networks. We are particularly leading the field of ‘AI-Native Communication’, which integrates Artificial Intelligence (AI) and Deep Learning technologies into communication systems, as well as network optimization.

Inheriting the philosophies of “Green Communications” and “Bio-inspired Engineering,” we are currently focusing on the implementation of Intelligent Communication Systems that autonomously perceive and optimize complex network environments . We are developing high-performance, high-efficiency communication technologies for the 6G era by utilizing the latest AI algorithms such as Deep Reinforcement Learning (DRL), Federated Learning, and Transformers.

Key Research Fields

1. AI-Based Intelligent Resource Management  

      • Reinforcement Learning-Based Optimization
      • Machine Learning-Based QoS Assurance

    2. AI-Native & Semantic Communications 

      • Semantic Communications
      • Federated Learning

    3. Space-Air-Ground Integrated Networks (SAGIN) & UAV Communications 

      • UAV (Drone) Network Optimization
      • Satellite Communications (LEO Satellite)

    4. Green Communications & Energy Harvesting

      • SWIPT (Simultaneous Wireless Information and Power Transfer)
      • Intelligent Power-Saving Algorithms

    5. Bio-Inspired Networking

      • Synchronization & Swarm Intelligence