Information

Pioneering Real-World Intelligence

The Wireless AI Lab is dedicated to research that transcends academic boundaries to solve complex real-world problems. By mastering advanced programming frameworks and our specialized in-house curriculum, we empower students to build the intelligent infrastructure of the future.

NVIDIA Aerial Digital Twin (AoDT)

A sophisticated 3D replica of urban environments. By utilizing GPU-accelerated Ray Tracing, we simulate how radio waves reflect off buildings and interact with blockages in real-time.

AoDT Overview →

NVIDIA Sionna™

An open-source library that turns complex physics into differentiable code. It bridges the gap between Deep Learning and Communication theory for optimal waveform design.

Explore Sionna Framework →

cuPHY & cuMAC

Advanced Software-Defined Radio (SDR) stacks running on NVIDIA GPUs. These enable real-time AI processing of massive 6G data flows at the PHY and MAC layers.

ROS 2 (Robot Operating System)

The universal language for robotics. ROS 2 provides the middleware necessary for multiple robots to coordinate and share information over our 6G networks.

ROS 2 Documentation →

In-House Research-Driven Curriculum

We provide a curated in-house curriculum designed to equip students with the exact theoretical “essence” required for top-tier research. These modules are specifically engineered to be applied directly to ongoing laboratory projects and real-world implementation.

Signals & Systems / Communication Systems Explores the fundamental properties of wireless signals and the architectures required for high-speed data transmission.

🚀 Research Impact: Establishes the physical-layer foundation for increasing network capacity and spectral efficiency.

Optimization & Theoretical Frameworks Covers mathematical optimization (KKT conditions, Nonlinear programming) to solve resource-constrained challenges in complex systems.

🚀 Research Impact: Enables the design of mathematically rigorous algorithms for autonomous network management.

Modern Deep Learning & AI-Native Communications A comprehensive dive into advanced architectures, including Reinforcement Learning (RL), Graph Neural Networks (GNN), Large Language Models (LLM), and other cutting-edge generative AI techniques.

🚀 Research Impact: Provides sophisticated tools to model complex network topologies and develop semantic intelligence for 6G.

“Our students bridge the gap between theory and reality by applying these specialized subjects to real-world multi-robot and 6G projects.”