ETHOS
Jan 1, 2024
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1 min read
ETHOS develops a comprehensive, multi-dimensional testing framework for machine-learning components in Open RAN software, with the goal of accelerating the deployment of trustworthy, interoperable 5G/6G networks. Funded by the NTIA Public Wireless Supply Chain Innovation Fund, January 2024 – December 2028.
Authors
Rahman Doost-Mohammady
(he/him)
Assistant Research Professor
I work at the intersection of computer systems and wireless
networking — building programmable, intelligent infrastructure for
5G/6G and Open RAN. A common thread across my projects is algorithm
and system design across FPGA, GPU, and CPU — spanning real-time
massive MIMO baseband on commodity servers, many-antenna hardware
platforms, and learning-driven schedulers. I am currently focused on
virtualized Open RAN systems and ML-enabled RAN software design.