3 papers
eess.SP2025
ReVeal-MT: A Physics-Informed Neural Network for Multi-Transmitter Radio Environment Mapping
Mukaram Shahid, Kunal Das, Hadia Ushaq +7
Accurately mapping the radio environment (e.g., identifying wireless signal strength at specific frequency bands and geographic locations) is crucial for efficient spectrum sharing…
cs.NI2025
AraRACH: Enhancing NextG Random Access Reliability in Programmable Wireless Living Labs
Joshua Ofori Boateng, Tianyi Zhang, Guoying Zu +6
The rapid evolution of wireless technologies has intensified interest in open and fully programmable radio access networks for whole-stack research, innovation, and evaluation of e…
eess.SP2025
ReVeal: A Physics-Informed Neural Network for High-Fidelity Radio Environment Mapping
Mukaram Shahid, Kunal Das, Hadia Ushaq +7
Accurately mapping the radio environment (e.g., identifying wireless signal strength at specific frequency bands and geographic locations) is crucial for efficient spectrum sharing…