TA2b.1

Wireless Digital Twin Calibration: A Small-Scale Real-World Prototype

Preston Garrett, Kengmin Lin, Ahmed Alkhateeb, Arizona State University, United States
Session:
TA2b: AI-driven and Digital Twin-enabled MIMO Communications Lecture
Track:
MIMO Communications and Signal Processing
Location:
Room 2
Presentation Time:
Tue, 27 Oct, 10:15 - 10:40 PT (UTC -7)
Session Chair:
Tingun Chen, Duke University, United States
Presentation
Discussion
Resources
No resources available.
Session TA2b
TA2b.1: Wireless Digital Twin Calibration: A Small-Scale Real-World Prototype
Preston Garrett, Kengmin Lin, Ahmed Alkhateeb, Arizona State University, United States
TA2b.2: AI-Based MIMO Positioning via Beam-Delay Profiles and Digital Twins
Canan Cebeci, Oveys Delafrooz, University of California, Santa Barbara, United States; Yiming Li, Tingjun Chen, Duke University, United States; Upamanyu Madhow, University of California, Santa Barbara, United States
TA2b.3: Gaussian‑Splatting‑Based PHY Digital Twin for Full‑Stack 5G Performance Prediction
Raj Bakhunchhe, Andrew Nguyen, Ish Kumar Jain, Rensselaer Polytechnic Institute (RPI), United States; Bhavya Sai Nukapotula, Narendran Srinivasan, Samin Moosavi, Srinivas Shakkottai, Universidad de Texas A&M (TAMU), United States; Sara Garcia Sanchez, Arun Paidimarri, Alberto Valdes-Garcia, IBM Research, United States
TA2b.4: Over-the-Air Target Classification with Distributed XL MIMO Systems
Kyriakos Stylianopoulos, George Alexandropoulos, National and Kapodistrian University of Athens, Greece
Contacts