5G Network Management, Orchestration, and Architecture: A Practical Study of the MonB5G project

TL;DR

This paper explores AI-driven management and orchestration of 5G network slicing, focusing on the EU MonB5G project’s approach to achieving zero-touch, scalable network control for future cellular networks.

Contribution

It provides a practical study of the MonB5G project, demonstrating AI techniques for automated 5G network management and orchestration at large scale.

Findings

AI enhances 5G network slicing management

Zero-touch orchestration is feasible at massive scales

MonB5G project advances automated network control

Abstract

The cellular device explosion in the past few decades has created many different opportunities for development for future generations. The 5G network offers a greater speed in the transmissions, a lower latency, and therefore greater capacity for remote execution. The benefits of AI for 5G network slicing orchestration and management will be discussed in this survey paper. We will study these topics in light of the EU-funded MonB5G project that works towards providing zero-touch management and orchestration in the support of network slicing at massive scales for 5G LTE and beyond.