Toward Experience-Driven Traffic Management and Orchestration in Digital-Twin-Enabled 6G Networks

TL;DR

This paper proposes a digital twin framework powered by AI for managing and orchestrating 6G networks, enabling smart resource allocation and service optimization amid high complexity and variability.

Contribution

It introduces a novel digital twin-enabled AI framework tailored for 6G networks, integrating communication, computing, and algorithms for enhanced traffic management.

Findings

Digital twin facilitates virtual network modeling for 6G.

AI-driven orchestration improves resource efficiency.

Future research directions outlined for 6G traffic management.

Abstract

The envisioned 6G networks are expected to support extremely high data rates, low-latency, and radically new applications empowered by machine learning. The futuristic 6G networks require a novel framework that can be used to operate, manage, and optimize its underlying services such as ultra-reliable and low-latency communication, and Internet of everything. In recent years, artificial intelligence (AI) has demonstrated significant success in optimizing and designing networks. The AI-enabled traffic orchestration can dynamically organize different network architectures and slices to provide quality of experience considering the dynamic nature of the wireless communication network. In this paper, we propose a digital twin enabled network framework, empowered by AI to cater the variability and complexity of envisioned 6G networks, to provide smart resource management and intelligent service provisioning. Digital twin paves a way for achieving optimizing 6G services by creating a virtual representation of the 6G network along with its associated communication technologies (e.g., intelligent reflecting surfaces, terahertz and millimeter communication), computing systems (e.g., cloud computing and fog computing) with its associated algorithms (e.g., optimization and machine learning). We then discuss and review the existing AI-enabled traffic management and orchestration techniques and highlight future research directions and potential solutions in 6G networks.