RLOps: Development Life-Cycle of Reinforcement Learning Aided Open RAN

RLOps: Development Life-Cycle of Reinforcement Learning Aided Open RAN

Radio access network (RAN) technologies continue to evolve, with Open RAN gaining the most recent momentum. In the O-RAN specifications, the RAN intelligent controllers (RICs) are software-defined orchestration and automation functions for the intelligent management of RAN. This article introduces p...

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Bibliographic Details
Main Authors: Peizheng Li, Jonathan Thomas, Xiaoyang Wang, Ahmed Khalil, Abdelrahim Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert J. Piechocki
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
O-RAN
machine learning
reinforcement learning
MLOps
RLOps
digital twins
Online Access:https://ieeexplore.ieee.org/document/9931127/

Internet

https://ieeexplore.ieee.org/document/9931127/

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