From Information Theory to Open Wireless Platforms
Our work spans theoretical foundations, system architectures, and deployed experimentation across the wireless stack.
New protocols and system architectures for next-generation wireless networks — full-duplex communications, mmWave, machine-to-machine networking, and information freshness.
Scalable many-antenna architectures, software-defined baseband, and open-access experimental platforms (WARP, RENEW) for community-driven wireless research.
Network information theory, distributed capacity analysis, and machine-learning-driven detection, scheduling, and resource allocation for wireless systems.
A $15M Army Research Office award establishes CLASSIC — a five-year Rice-led center developing extremely large-scale antenna arrays for secure sensing, imaging, and communications.
A $4.5M NSF award to Rice will develop Houdini — an open-access, modular software-defined radio platform supporting multiple spectrum bands simultaneously for 6G prototyping.
Three collaborative NSF grants awarded to Ashu Sabharwal will support work on tools and techniques for next-generation wireless communications at Rice.
Talk by Dr. Puneet Sharma — HPE Fellow, Vice President, and Director of the Networking and Distributed Systems Lab at HPE Labs — on lessons from applying AI to networking, drawn from the Maestro and Wixor projects.
Multi-disciplinary research, one center
Professor and Chair, Rice ECE
Professor, Rice ECE
Professor, Rice ECE
Assistant Professor, Rice ECE
Professor, Rice ECE
Assistant Professor, Rice ECE
Research Assistant Professor, Rice ECE
Associate Professor, Rice ECE
Assistant Professor, Rice ECE
Assistant Professor, Rice ECE
NTIA-funded project developing comprehensive testing frameworks to evaluate software stability, interoperability, energy efficiency, and communication performance of machine …
NSF-funded (CNS-2346550) open-access multi-band software-defined radio platform enabling 5G/6G protocol testing and machine learning-driven wireless research.
NSF CCRI project providing community infrastructure with datasets, tools, and testbeds for machine learning applications in wireless communications through 2026.
NSF PAWR project. World's first open-source, city-scale massive MIMO platform used by 100+ research groups worldwide for advancing 5G/6G wireless technologies.
Beamformer design and simulation tooling for "Near-ground Precipitation Sensing Using Full-duplex MIMO Base Stations." Python package + Jupyter notebooks, with measurement data …