Wireless Networks & Embedded Systems Lab
We design the next generation of secure, reliable, and energy-efficient wireless networked systems — with higher intelligence and tighter integration with the physical world.
Our work spans the full stack — from the theory of communication and networking to open-source software, embedded hardware, and large-scale experiments on city-scale and emulation testbeds. Today we focus on AI-driven, software-defined cellular networks (Open RAN, 5G, and 6G), while pushing wireless into new frontiers: inside the human body, underwater, and in the air.
Research areas
AI-RAN
AI-run radio access networks: embedding artificial intelligence directly into the RAN to autonomously operate, optimize, and heal 5G and 6G cellular networks.
Open RAN, 5G & 6G
Softwarized, intelligent, and autonomous cellular networks — intent-based control and end-to-end orchestration of Open RAN.
Machine Learning for Wireless
Deep learning at the physical and MAC layers for spectrum sensing, signal classification, and real-time network control.
Digital Twins & Testbeds
High-fidelity RF digital twins and large-scale emulation (Colosseum, Arena, OpenRAN Gym) for reproducible experimentation.
Wireless Security
Securing the wireless physical layer and open network architectures against jamming, spoofing, and adversarial attacks.
Internet of Medical Things
Networked implantable and wearable systems, including ultrasonic intra-body area networks for next-generation healthcare.
Underwater & Acoustic Networks
Communication and networking protocols for the underwater Internet, from acoustic links to autonomous ocean systems.
Aerial & Cognitive Networks
Unmanned aerial networks and cognitive, cooperative tactical radio networks for resilient connectivity anywhere.
Embedded & Sensor Systems
Wireless multimedia and visible-light sensor networks, network operating systems, and resource-constrained embedded platforms.
Prof. Tommaso Melodia · Director · t.melodia@northeastern.edu