Ruozhou Yu
North Carolina State University, NC·Computer Science
Wireless devices all compete for a limited supply of radio frequencies, called spectrum, and quantum technologies will need networks that can move fragile quantum information over long distances. Both problems come down to sharing scarce, unreliable network resources fairly and efficiently.
- Fields
Computer Science
Engineering
Physics
- Topics
dynamic spectrum access
spectrum market
spectrum sharing
- Grants
- 3 known grants, through Sep 2027
What they work on
- Develop techniques that measure the uncertainty in spectrum data and in machine-learning predictions and build it into automated dynamic spectrum access, using robust optimization so decisions stay reliable.
- Create a framework for trustworthy re-calibration of spectrum monitoring models during spectrum handovers, when ownership of a frequency band changes.
- Design learning-based spectrum market mechanisms (rules for trading spectrum) that maximize efficiency or revenue while resisting both traditional and learning-based market manipulation.
- Build Opennect's foundation of peer-to-peer and multi-party decentralized contracts so wireless providers can form on-demand agreements, evaluated with simulations using real data and the AERPAW testbed.
- Develop verifiable data-use accounting, quality-of-service provisioning, spectrum leasing, decentralized pricing and crowdsensing-based access checks for an open wireless market.
- Develop models and protocols for generating, manipulating and converting entanglement between continuous-variable and discrete-variable quantum systems.
- Design a hypergraph-based optimization framework for hybrid quantum networks and assess what computing, sensing and communication applications they enable.
More about the research
The projects build models, algorithms and market rules that keep these networks working well even when data are uncertain or participants try to cheat.
Why it matters
Spectrum shortages limit connectivity for applications such as autonomous driving, connected healthcare and autonomous agriculture. More robust, manipulation-resistant spectrum markets and open last-mile access could improve spectrum efficiency. They could also widen reliable Internet access, including for marginalized communities. Hybrid quantum network designs could help build infrastructure for distributed quantum computing, quantum sensing and secure communications.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Robustifying Predictive Intelligence for A New Spectrum Market
NSF · Oct 2024 – Sep 2027
Collaborative Research: NeTS: Small: Last Mile as a Free Market: Democratizing Wireless Access with On-demand Decentralized Contracts
NSF · Oct 2024 – Sep 2027
Collaborative Research: NeTS: Small: Models and Algorithms for Hybrid Continuous-Discrete Variable Quantum Networking
NSF · Sep 2024 – Aug 2027
Closest labs
Ali Pezeshki
Colorado State University-Fort Collins, CO·Engineering
Develop a stochastic optimization framework in which radar and communication users share spectrum under constraints that keep the probability of harmful interference low.
Jianqing Liu
North Carolina State University, NC·Engineering·Early-career
Develop an entangled-photon quantum sensor with acousto-optic beam steering and an adaptively learning quantum receiver to detect downy mildew on infected cucumber leaves within 1–2 days of infection.
Mingyue Ji
University of Florida, FL·Engineering·Early-career
Develop reconfigurable radio hardware and CAP-MIMO antenna designs, whose sub-apertures can be split between tasks, so one system can sense surroundings and communicate at once in the INSTINCT system.
The school
North Carolina State University: 40 labs on PI Pages, $717M a year on research, 603 research doctorates a year.
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