ETHOS Overview

The ETHOS project will develop advanced testing frameworks that effectively evaluates software stability and interoperability, energy efficiency, and communication performance in software-based ML-enabled RANs. The project will also implement and deploy novel ML algorithms for 5G RANs and use the ML-enabled RAN platform to develop a novel testing methodology that will characterize consistency and robustness, two basic metrics for ML-enabled 5G RAN software solutions.

ETHOS project is by three Rice University PIs, Rahman Doost-Mohammady, Ashutosh Sabharwal, and Santiago Segarra. The team will leverage extensive past experience, namely

• Rice RENEW, world’s first fully programmable and observable massive MIMO wireless radio network.
• Rice 3DML wireless, a community platform for facilitating the development of ML based innovations for next-generation wireless networks.