NSF VINES Track 2 · Award #2554332 · Sep 2026 – Aug 2029
🌐 scope-xr.github.io
SCOPE-XR builds perception-aware wireless networks for multi-user extended reality (XR). The project combines on-device perception (pose, gaze, and scene geometry) with radio measurements to predict the wireless channel. It then uses those predictions to adapt network resources ahead of time through O-RAN–compliant software. The target applications are collaborative STEM learning and industrial safety training.
All SCOPE-XR code is hosted in this organization.
| Institution | Team |
|---|---|
| University of Georgia (lead) | Haijian Sun (PI), Zhenlin An, Kyle Johnsen, Mehmet Kurum, WenZhan Song |
| The University of Texas at Austin | Kaushik Chowdhury, Jeffrey G. Andrews |
| Virginia Tech | Rose Qingyang Hu, Lingjia Liu, Harpreet S. Dhillon, Bo Ji |
| University of Wisconsin–Madison | Feng Ye, Suman Banerjee, Joshua San Miguel |
| Ericsson (industry partner) | Md Moin Uddin Chowdhury, Per Karlsson |
| Repo | Description |
|---|---|
scope-xr.github.io |
Project website |
This material is based upon work supported by the U.S. National Science Foundation under Award No. 2554332. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
