In the AIIRA national AI institute, Prof. Soumik Sarkar (Mechanical Engineering) and Prof. Asheesh “Danny” Singh (Agronomy) at Iowa State University leverages ARA to investigate how networked agricultural ground vehicles, remote sensing and computing, and machine learning can automate labor-intensive field scouting—transforming hours of manual assessment into near-real-time analysis and decision-making. Traditional field scouting and … Continue reading “Amiga”: Accelerating Field Scouting with ARA’s FutureG Connectivity 

Author: Joshua Ofori Boateng  The Center for Wireless, Communities and Innovation (WiCI) at Iowa State University has taken a significant step forward in improving the coverage and reliability of next generation random access (RA) procedure with the development of AraRACH: Enhancing NextG Random Access Reliability in Programmable Wireless Living Labs. By leveraging real‑world data from the ARA wireless living lab, they devised a slot‑based scheduling framework that reschedules RA messages into full downlink and uplink slots, unlocking all 14 … Continue reading Enhancing NextG Random Access Reliability in Programmable Wireless Living Labs

Authors: Zack Murry (University of Missouri), Alicia Esquivel Morel (University of Missouri), and Kate Keahey (Argonne National Laboratory) Introduction As 5G networks expand beyond urban centers, it is also critical to understand how they perform in rural edge environments, where connectivity can be intermittent and infrastructure sparse. This project, conducted as part of the REU … Continue reading 5G in Practice: Measuring Rural Wireless Technology for Edge Devices in Distributed Computation Workloads

Recently, ARA has successfully integrated an open-source mobile core (Open5GS) with a commercial-grade 5G standalone radio access network (RAN) powered by Ericsson. This first-of-its-kind integration marks a significant milestone toward proving the commercial readiness and interoperability of open-source mobile networking software. It offers the exciting opportunity to combine programmable flexibility in the core with robustness … Continue reading Open Source 5G Core Integration with Commercial RAN

Author: Mukaram Shahid   Prof. Hongwei Zhang and his team at Iowa State University (ISU) have made a leap in spectrum cartography with the development of ReVeal (Reconstructor and Visualizer of Spectrum Landscape), a Physics-Informed Neural Network (PINN) that enables high-accuracy Radio Environment Mapping (REM) using sparse data. This breakthrough, enabled in part by real-world data … Continue reading Physics-Informed Neural Network for Radio Environment Mapping