Edmund Yeh
Northeastern University, MA·Engineering
Virtual, augmented and mixed reality, together called XR, require phones and headsets to render video and detect objects within milliseconds. Phones cannot do this heavy computing alone.
- Fields
Engineering
Computer Science
- Topics
edge computing
virtual reality
augmented reality
- Grants
- 1 known grant, through Apr 2027
What they work on
- Jointly optimize base station association, handover and uplink/downlink beamforming in 5G millimeter-wave networks to minimize wireless latency for mobile XR users.
- Design algorithms that jointly optimize caching of XR content and routing across multi-hop edge computing networks to meet end-to-end latency limits.
- Trade off computation and storage across a distributed, layered edge infrastructure through joint routing, computation placement and caching to minimize end-to-end delay.
- Compare traditional optimization and machine learning approaches, and validate the TARGET algorithms with network simulations and two Northeastern University testbeds.
More about the research
They must send work to nearby edge servers, computers placed close to users, over fast wireless links. Today's 5G millimeter-wave networks offer very high data rates, but their signals are easily blocked and struggle when users move. Edge servers also sit deep in the cellular core network, which adds delay that high-frame-rate XR cannot tolerate.
Why it matters
Smooth mobile XR could support gaming, training, collaboration and other interactive applications. This work aims to provide the network theory and algorithms that let 5G and future wireless networks deliver XR with low delay, even when users move or signals are blocked. Such algorithms could guide how carriers place edge servers and caches.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Yasaman Ghasempour
Princeton University, NJ·Engineering·Early-career
Steer narrow terahertz beams electronically using a new multi-slit antenna, in which the beam's angle depends on the signal frequency and the slit geometry, to overcome the high signal loss at frequencies above 100 GHz.
Subhanshu Gupta
Washington State University, WA·Engineering
Use the frequency-dependent beams of true-time-delay arrays to cut beam-training overhead, and design a low-latency protocol that trains beams and estimates interference at the same time in dense millimeter-wave networks.
Rose Qingyang Hu
Virginia Polytechnic Institute and State University, VA·Engineering
Reconstruct how wireless signal energy varies with position and direction by combining sparse channel state information measurements with 3D environment layouts rebuilt from images, using radiance-field-inspired models and array signal processing.
The school
Northeastern University: 27 labs on PI Pages, $347M a year on research, 251 research doctorates a year.
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