A Bayesian Framework of Deep Reinforcement Learning for Joint O-RAN/MEC Orchestration

A Bayesian Framework of Deep Reinforcement Learning for Joint O-RAN/MEC Orchestration

Multi-access Edge Computing (MEC) can be implemented together with Open Radio Access Network (O-RAN) to offer low-cost deployment and bring services closer to end-users. In this paper, the joint orchestration of O-RAN and MEC using a Bayesian deep reinforcement learning (RL) framework is proposed. T...

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Bibliographic Details
Main Authors: Fahri Wisnu Murti, Samad Ali, Matti Latva-Aho
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
O-RAN
multi-access edge computing
network orchestration
deep reinforcement learning
Bayesian learning
Online Access:https://ieeexplore.ieee.org/document/10771978/
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https://ieeexplore.ieee.org/document/10771978/

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