The Evolution of Open RAN Based on MLOps Platform
Virtualization, one of the main components of Open RAN technology, is being implemented by a cloud native methodology, and machine learning techniques are also applied to Open RAN. And MLOps, which combines existing Devops and machine learning, is emerging as an important trend to all industries. In this article, we look at OpenShift AI technology, which combines Red Hat's Cloud native technology and machine learning technology, and explore the possibilities of how Open RAN can evolve by this. This paper first examines the virtualization trend in Open RAN, Red Hat's OpenShift technology, which supports cloud native approach, and OpenShift AI technology that supports MLOps. And some idea about how this MLOps can be applied to Open RAN and drive the evolution of Open RAN is suggested.
Authors
- Chan-Woo Jeon
Institutions
- Seoul National University (KR)
Publication Details
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1109/ictc62082.2024.10827277
- Citations
- 2
- Primary Topic
- Service-Oriented Architecture and Web Services
- Type
- article
- Field-Weighted Citation Impact
- 1.56