MMCN has been at the forefront of research in network architectures, protocols, and security across both wired and wireless mobile communication environments. Leveraging years of research expertise, our goal is to secure core ICT technologies that integrate Internet of Things (IoT), Mixed Reality (MR), and Artificial Intelligence (AI)—the driving forces of the 4th Industrial Revolution—to effectively apply them across diverse sectors.
1. Intelligent MR-IoT Convergence Platform Technology
We aim to secure ICT technologies by fusing IoT, MR, and AI to provide effective solutions for natural and industrial disaster prevention, emergency response, and various commercial applications.
Convergence of Mixed Reality and IoT
Design of convergence platform architectures based on Open Standards.
Integrated architectures based on Microservices.
Applications for industrial sites and disaster management.
AI Platform Utilization
Vision-based markerless recognition.
Indoor localization within 2D floor plans.
Networking Technologies
Cloud-Edge Computing.
Offloading and calibration technologies for MR devices.
MR video streaming.
2. Future Tactical Network Technology
We contribute to enhancing South Korea’s national defense capabilities by developing core tactical network technologies. Our research focuses on future tactical network structures, evolution models, and interoperability to maximize joint operational capabilities in a network-centric warfare environment.
Future ROK Army Tactical Network Structure & Evolution Models
Design of future tactical network architectures.
Establishment of tactical network evolution models.
Improvement of tactical network technologies for enhanced survivability.
Future Network Technologies Supporting Interoperability
Design of information exchange architectures.
Development of protocols supporting interoperability in mobile environments.
Network M&S (Modeling & Simulation) Technology
Event-based network simulation.Network simulation interfaced with real-world systems.
3. Future Internet Technology Research
We research innovative internet concepts designed to overcome the limitations of current network architectures. Our goal is to reflect rapidly changing user requirements through “clean-slate” designs that prioritize innovation over backward compatibility.
Cognitive Radio (CR) Network Technology
High-efficiency frequency reuse technology without interference.
Mobility support technologies in cognitive radio environments.
SDN-based Multi-hop Support Technology
QoS (Quality of Service) support for multi-hop networks.
Optimization technologies for multi-hop networks.
Network Slicing Technology
Virtualization-based automated network management.
Virtual network resource allocation technologies.