MCC Lab studies AI-driven radio access, satellite networking, AI security, and resilient defense communications.

6G & AI-RAN

Conceptual illustration of distributed antenna sites and edge computing across a campus.

Coordinating distributed antennas and using AI to manage the radio access network.

Cell-Free Massive MIMO

Cooperative transmission, interference management, and energy-efficient resource allocation in distributed antenna systems.

AI-Enabled Wireless Access

Learning-based multiple access and autonomous medium-access control (MAC).

Edge AI

Communication-efficient distributed and federated learning over wireless networks.

Satellite Communications & NTN

Conceptual illustration of low-Earth-orbit satellites connected to a terrestrial gateway.

Routing and link coordination across low-Earth-orbit satellite constellations and terrestrial networks.

LEO Satellite Networks

Backbone routing and traffic management for large satellite constellations.

3GPP Non-Terrestrial Networks

Satellite–terrestrial integration and ground-station technologies.

Space–Air–Ground Integration

Integrated networks for massive IoT connectivity and high-mobility environments.

AI Security

Conceptual illustration of network traffic analysis and distributed computing devices.

Detecting network threats and protecting data and AI models in distributed systems.

AI-Based Threat Detection

Identification of unknown traffic and network intrusions using machine learning.

Privacy-Preserving AI

Security and data protection in split and federated learning.

AI Model Security

Analysis of adversarial attacks and defenses for learning systems.

Defense Communications & MUM-T

Conceptual illustration of drones, a ground vehicle, and a command vehicle communicating across terrain.

Maintaining communications among manned and unmanned platforms in changing or disrupted environments.

Manned–Unmanned Teaming

Topology control and multiple access for cooperative unmanned swarms.

Resilient Tactical Communications

Adaptive links and self-recovery under interference and disconnection.

Radio-Environment Digital Twins

Three-dimensional radio-environment modeling and simulation-based learning.