Automated Management for Low-Resource 5G Deployments
Feb 1, 2021·
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0 min read
Rahman Doost-Mohammady
Abstract
In this talk I discuss automated management mechanisms tailored for
low-resource 5G deployments — covering self-configuration, fault
detection, and adaptive resource allocation — based on our experience
with the RENEW open-source massive MIMO platform.
Date
Feb 1, 2021 1:00 PM — 2:00 PM
Event
Facebook Magma Conference
Location
Online
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.