Recent Advances in Machine Learning for Network Automation in the O-RAN.

ABSTRACT: The evolution of network technologies has witnessed a paradigm shift toward open and intelligent networks, with the Open Radio Access Network (O-RAN) architecture emerging as a promising solution. O-RAN introduces disaggregation and virtualization, enabling network operators to deploy multi-vendor and interoperable solutions. However, managing and automating the complex O-RAN ecosystem presents numerous challenges. To address this, machine learning (ML) techniques have gained considerable attention in recent years, offering promising avenues for network automation in O-RAN. This paper presents a comprehensive survey of the current research efforts on network automation usingML in O-RAN.We begin by providing an overview of the O-RAN architecture and its key components, highlighting the need

SUBMITTER: Hamdan MQ 

PROVIDER: S-EPMC10649491 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature